Bibliografie tematiche / Open environmental data

Letteratura scientifica selezionata sul tema "Open environmental data"

Autore: Grafiati

Pubblicato: 22 giugno 2024

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Articoli di riviste sul tema "Open environmental data":

Schmidt, Birgit, Birgit Gemeinholzer e Andrew Treloar. "Open Data in Global Environmental Research: The Belmont Forum’s Open Data Survey". PLOS ONE 11, n. 1 (15 gennaio 2016): e0146695. http://dx.doi.org/10.1371/journal.pone.0146695.

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Klein, Thomas, Mats Nilsson, Anders Persson e Bertil Håkansson. "From Open Data to Open Analyses—New Opportunities for Environmental Applications?" Environments 4, n. 2 (8 aprile 2017): 32. http://dx.doi.org/10.3390/environments4020032.

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De Giusti, Marisa R., Gonzalo L. Villarreal, Carlos J. Nusch, Analía V. Pinto e Ariel J. Lira. "Open access and open data on natural disasters". IFLA Journal 43, n. 1 (19 dicembre 2016): 81–88. http://dx.doi.org/10.1177/0340035216678236.

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Abstract (sommario):

After a flood which devastated the city of La Plata (Argentina) in April 2013, a survey of the water situation in the region revealed that relevant studies and projects related with this area were scattered and lacked visibility. This prompted academic, scientific, technologic, and governmental institutions to take action and work together to compile, organize, and disseminate available data in an unprecedented response to an environmental disaster in the region. For this purpose, a dedicated collection was created in the SEDICI, the institutional repository for the Universidad Nacional de La Plata, and subsequently, the Observatorio Medioambiental La Plata (OMLP), a repository for data on environmental research, was launched. This document describes these collaboration initiatives which aim to anticipate and reduce the impact of natural disasters, their main characteristics, their resources, and their current progress. Projects driven by the OMLP are also described, along with a description of their technical and infrastructure deployment as per the open access policies.

Maeda, Eduardo Eiji, e Juan Arévalo Torres. "Open Environmental Data in Developing Countries: Who Benefits?" AMBIO 41, n. 4 (24 aprile 2012): 410–12. http://dx.doi.org/10.1007/s13280-012-0283-4.

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Olbrich, Philipp. "Open space: The global effort for open access to environmental satellite data". Astropolitics 16, n. 3 (2 settembre 2018): 230–36. http://dx.doi.org/10.1080/14777622.2018.1534470.

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Geiger, Christian Philipp, e Jörn Von Lucke. "Open Government and (Linked) (Open) (Government) (Data)". JeDEM - eJournal of eDemocracy and Open Government 4, n. 2 (19 dicembre 2012): 265–78. http://dx.doi.org/10.29379/jedem.v4i2.143.

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This article explores the opening and the free usage of stored public sector data, supplied by state. In the age of Open Government and Open Data it’s not enough just to put data online. It should be rather weighed out whether, how and which supplied public sector data can be published. Open Data are defined as stored data which could be made accessible in a public interest without any restrictions for usage and distribution. These Open Data can possibly be statistics, geo data, maps, plans, environmental data and weather data in addition to materials of the parliaments, ministries and authorities. The preparation and the free access to existing data permit varied approaches to the reuse of data, discussed in the article. In addition, impulses can be given for Open Government – the opening of state and administration, to more transparency, participation and collaboration as well as to innovation and business development. The Open Data movement tries to get to the bottom of current publication processes in the public sector which could be formed even more friendly to citizens and enterprises.

Bruch, F., T. Bartoschek, M. Pesch, A. Schwering e I. Buchem. "MOTIVATING ENVIRONMENTAL CITIZEN SCIENTISTS AND OPEN DATA ACQUISITION ON OPENSENSEMAP WITH OPEN BADGES". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W7-2023 (22 giugno 2023): 11–17. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w7-2023-11-2023.

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Abstract. Citizen science projects making the public part of scientific research are a growing trend and often have a strong geospatial focus with mapping and observation activities on biodiversity or environmental topics. To keep participants engaged, gamification is often used, adding elements of competition and rewards. Digital badges are a common gamification component that can increase participant motivation. Open Badges, an open standard for digital micro-credentials, can be used in citizen science projects to incentivize participants and showcase their achievements. They can also be adapted to open education, where learners can build a portfolio of evidence to demonstrate their achievements and credentials. Open Badges can enhance the learning experience and increase motivation, leading to improved educational outcomes. The use of Open Badges in citizen science and open education aligns with the spirit of collaboration and transparency in science and technology. In this paper we propose a solution linking the openSenseMap, as an open environmental citizen science platform, to myBadges, an Open Badges infrastructure, to allow an automatic issuing of badges for achievements made. A short study reveals first impressions of the proposed solution, its motivational aspects to contribute and improve open data on the platform, and the potential for future work.

Baker, Ed. "Open source data logger for low-cost environmental monitoring". Biodiversity Data Journal 2 (11 febbraio 2014): e1059. http://dx.doi.org/10.3897/bdj.2.e1059.

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Witjes, Martijn, Leandro Parente, Josip Križan, Tomislav Hengl e Luka Antonić. "Ecodatacube.eu: analysis-ready open environmental data cube for Europe". PeerJ 11 (6 giugno 2023): e15478. http://dx.doi.org/10.7717/peerj.15478.

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The article describes the production steps and accuracy assessment of an analysis-ready, open-access European data cube consisting of 2000–2020+ Landsat data, 2017–2021+ Sentinel-2 data and a 30 m resolution digital terrain model (DTM). The main purpose of the data cube is to make annual continental-scale spatiotemporal machine learning tasks accessible to a wider user base by providing a spatially and temporally consistent multidimensional feature space. This has required systematic spatiotemporal harmonization, efficient compression, and imputation of missing values. Sentinel-2 and Landsat reflectance values were aggregated into four quarterly averages approximating the four seasons common in Europe (winter, spring, summer and autumn), as well as the 25th and 75th percentile, in order to retain intra-seasonal variance. Remaining missing data in the Landsat time-series was imputed with a temporal moving window median (TMWM) approach. An accuracy assessment shows TMWM performs relatively better in Southern Europe and lower in mountainous regions such as the Scandinavian Mountains, the Alps, and the Pyrenees. We quantify the usability of the different component data sets for spatiotemporal machine learning tasks with a series of land cover classification experiments, which show that models utilizing the full feature space (30 m DTM, 30 m Landsat, 30 m and 10 m Sentinel-2) yield the highest land cover classification accuracy, with different data sets improving the results for different land cover classes. The data sets presented in the article are part of the EcoDataCube platform, which also hosts open vegetation, soil, and land use/land cover (LULC) maps created. All data sets are available under CC-BY license as Cloud-Optimized GeoTIFFs (ca. 12 TB in size) through SpatioTemporal Asset Catalog (STAC) and the EcoDataCube data portal.

Lausch, Angela, Andreas Schmidt e Lutz Tischendorf. "Data mining and linked open data – New perspectives for data analysis in environmental research". Ecological Modelling 295 (gennaio 2015): 5–17. http://dx.doi.org/10.1016/j.ecolmodel.2014.09.018.

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Tesi sul tema "Open environmental data":

Sadler, Jeffrey Michael. "Hydrologic Data Sharing Using Open Source Software and Low-Cost Electronics". BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/4425.

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While it is generally accepted that environmental data are critical to understanding environmental phenomena, there are yet improvements to be made in their consistent collection, curation, and sharing. This thesis describes two research efforts to improve two different aspects of hydrologic data collection and management. First described is a recipe for the design, development, and deployment of a low-cost environmental data logging and transmission system for environmental sensors and its connection to an open source data-sharing network. The hardware is built using several low-cost, open-source, mass-produced components. The system automatically ingests data into HydroServer, a standards-based server in the open source Hydrologic Information System (HIS) created by the Consortium of Universities for the Advancement of Hydrologic Sciences Inc (CUAHSI). A recipe for building the system is provided along with several test deployment results. Second, a connection between HydroServer and HydroShare is described. While the CUAHSI HIS system is intended to empower the hydrologic sciences community with better data storage and distribution, it lacks support for the kind of “Web 2.0” collaboration and social-networking capabilities that are increasing scientific discovery in other fields. The design, development, and testing of a software system that integrates CUAHSI HIS with the HydroShare social hydrology architecture is presented. The resulting system supports efficient archive, discovery, and retrieval of data, extensive creator and science metadata, assignment of a persistent digital identifier such as a Digital Object Identifier (DOI), scientific discussion and collaboration around the data and other basic social-networking features. In this system, HydroShare provides functionality for social interaction and collaboration while the existing HIS provides the distributed data management and web services framework. The system is expected to enable scientists, for the first time, to access and share both national- and research lab-scale hydrologic time series in a standards-based web services architecture combined with a social network developed specifically for the hydrologic sciences.These two research projects address and provide a solution for significant challenges in the automatic collection, curation, and feature-rich sharing of hydrologic data.

Montori, Federico <1990&gt. "Delivering IoT Services in Smart Cities and Environmental Monitoring through Collective Awareness, Mobile Crowdsensing and Open Data". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amsdottorato.unibo.it/8957/1/THESIS_REV.pdf.

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The Internet of Things (IoT) is the paradigm that allows us to interact with the real world by means of networking-enabled devices and convert physical phenomena into valuable digital knowledge. Such a rapidly evolving field leveraged the explosion of a number of technologies, standards and platforms. Consequently, different IoT ecosystems behave as closed islands and do not interoperate with each other, thus the potential of the number of connected objects in the world is far from being totally unleashed. Typically, research efforts in tackling such challenge tend to propose a new IoT platforms or standards, however, such solutions find obstacles in keeping up the pace at which the field is evolving. Our work is different, in that it originates from the following observation: in use cases that depend on common phenomena such as Smart Cities or environmental monitoring a lot of useful data for applications is already in place somewhere or devices capable of collecting such data are already deployed. For such scenarios, we propose and study the use of Collective Awareness Paradigms (CAP), which offload data collection to a crowd of participants. We bring three main contributions: we study the feasibility of using Open Data coming from heterogeneous sources, focusing particularly on crowdsourced and user-contributed data that has the drawback of being incomplete and we then propose a State-of-the-Art algorith that automatically classifies raw crowdsourced sensor data; we design a data collection framework that uses Mobile Crowdsensing (MCS) and puts the participants and the stakeholders in a coordinated interaction together with a distributed data collection algorithm that prevents the users from collecting too much or too less data; (3) we design a Service Oriented Architecture that constitutes a unique interface to the raw data collected through CAPs through their aggregation into ad-hoc services, moreover, we provide a prototype implementation.

Dumpawar, Suruchi. "Open government data intermediaries : mediating data to drive changes in the built environment". Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/97994.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Comparative Media Studies, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 127-133).
In recent years open data initiatives, which make government data publicly available in a machine-readable format for reuse and redistribution, have proliferated, driven by the launch of open-data government initiatives such as data.gov and data.gov.uk. Research on open data has focused on its potential for governance, its implications on transparency, accountability, and service delivery, and its limitations and barriers of use. However, less attention has been focused on the practices of data intermediaries-an emerging configuration of actors that plays an essential role in facilitating the use and reuse of data by aggregating open government data and enhancing it through a range of data practices. This thesis will assess the data practices of open government data intermediaries from three perspectives. First, it will trace the development of open government data initiatives to contend that at a moment when open data policy is seeing global diffusion with the potential of increasing social, political, and economic impact, there is a crucial need to assess the practices of intermediaries to understand how open government data is put to use. Second, it will develop a framework to analyze the role of open government data intermediaries by proposing a definition for "the data intermediary function" constituted by a range of technical, civic, representational, and critical data practices. Third, it will assess the data practices of two open government data intermediaries, 596 Acres and Transparent Chennai, who as urban actors facilitate the conversion of open government data into actionable information for communities to effect changes in the built environment. In describing and assessing the tools, practices, and methods developed by open data intermediaries this thesis will explore the potential and limitations of data intermediaries, and offer recommendations that might inform future open government data initiatives that seek to mediate open government data to facilitate changes in the built environment.
by Suruchi Dumpawar.
S.M.

Neira, Maria Elena. "An open architecture for data environments based on context interchange". Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/69352.

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Wiggins, John Sterling. "Design and specification of a PC-based, open architecture environment controller". Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/17299.

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Miles, Shaun Graeme. "An investigation of issues of privacy, anonymity and multi-factor authentication in an open environment". Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1006653.

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This thesis performs an investigation into issues concerning the broad area ofIdentity and Access Management, with a focus on open environments. Through literature research the issues of privacy, anonymity and access control are identified. The issue of privacy is an inherent problem due to the nature of the digital network environment. Information can be duplicated and modified regardless of the wishes and intentions ofthe owner of that information unless proper measures are taken to secure the environment. Once information is published or divulged on the network, there is very little way of controlling the subsequent usage of that information. To address this issue a model for privacy is presented that follows the user centric paradigm of meta-identity. The lack of anonymity, where security measures can be thwarted through the observation of the environment, is a concern for users and systems. By an attacker observing the communication channel and monitoring the interactions between users and systems over a long enough period of time, it is possible to infer knowledge about the users and systems. This knowledge is used to build an identity profile of potential victims to be used in subsequent attacks. To address the problem, mechanisms for providing an acceptable level of anonymity while maintaining adequate accountability (from a legal standpoint) are explored. In terms of access control, the inherent weakness of single factor authentication mechanisms is discussed. The typical mechanism is the user-name and password pair, which provides a single point of failure. By increasing the factors used in authentication, the amount of work required to compromise the system increases non-linearly. Within an open network, several aspects hinder wide scale adoption and use of multi-factor authentication schemes, such as token management and the impact on usability. The framework is developed from a Utopian point of view, with the aim of being applicable to many situations as opposed to a single specific domain. The framework incorporates multi-factor authentication over multiple paths using mobile phones and GSM networks, and explores the usefulness of such an approach. The models are in tum analysed, providing a discussion into the assumptions made and the problems faced by each model.
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Kalibjian, Jeffrey R. "APPLICATION OF INTRUSION DETECTION SOFTWARE TO PROTECT TELEMETRY DATA IN OPEN NETWORKED COMPUTER ENVIRONMENTS". International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/606817.

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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California
Over the past few years models for Internet based sharing and selling of telemetry data have been presented [1] [2] [3] at ITC conferences. A key element of these sharing/selling architectures was security. This element was needed to insure that information was not compromised while in transit or to insure particular parties had a legitimate right to access the telemetry data. While the software managing the telemetry data needs to be security conscious, the networked computer hosting the telemetry data to be shared or sold also needs to be resistant to compromise. Intrusion Detection Systems (IDS) may be used to help identify and protect computers from malicious attacks in which data can be compromised.

Triperina, Evangelia. "Visual interactive knowledge management for multicriteria decision making and ranking in linked open data environments". Thesis, Limoges, 2020. http://www.theses.fr/2020LIMO0010.

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Le doctorat impliqués la recherche dans le domaine des représentations visuelles assistées par des technologies sémantiques et des ontologies afin de soutenir les décisions et les procédures d'élaboration des politiques, dans le cadre de la recherche et des systèmes d'information académique. Les visualisations seront également prises en charge par l'exploration de données et les processus d'extraction de connaissances dans l'environnement de données liées. Pour élaborer, les techniques d'analyse visuelle seront utilisées pour l'organisation des visualisations afin de présenter l'information de manière à utiliser les capacités perceptuelles humaines et aideront éventuellement les procédures de prise de décision et de prise de décision. En outre, la représentation visuelle et, par conséquent, les processus décisionnels et décisionnels seront améliorés au moyen des technologies sémantiques basées sur des modèles conceptuels sous forme d'ontologies. Ainsi, l'objectif principal de la thèse de doctorat proposée consiste en la combinaison des technologies sémantiques clés et des techniques de visualisation interactive basées principalement sur la perception du graphique afin de rendre les systèmes de prise de décision plus efficaces. Le domaine de la demande sera le système de recherche et d'information académique
The dissertation herein involves research in the field of the visual representations aided by semantic technologies and ontologies in order to support decisions and policy making procedures, in the framework of research and academic information systems. The visualizations will be also supported by data mining and knowledge extraction processes in the linked data environment. To elaborate, visual analytics’ techniques will be employed for the organization of the visualizations in order to present the information in such a way that will utilize the human perceptual abilities and that will eventually assist the decision support and policy making procedures. Furthermore, the visual representation and consequently the decision and policy making processes will be ameliorated by the means of the semantic technologies based on conceptual models in the form of ontologies. Thus, the main objective of the proposed doctoral thesis consists the combination of the key semantic technologies with interactive visualisations techniques based mainly on graph’s perception in order to make decision support systems more effective. The application field will be the research and academic information systems

Neumann, Bradley C. "Is All Open Space Created Equal? A Hedonic Application within a Data-Rich GIS Environment". Fogler Library, University of Maine, 2005. http://www.library.umaine.edu/theses/pdf/NeumannBC2005.pdf.

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Chivarar, Sonia, e Haithem Hamdi. "Technology Convergence and Open Innovation : An Empirical Study on How Nexus of Forces Influences the Open Innovation Environment". Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Informatik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-23980.

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Abstract (sommario):

This study is conducted within the domains of technology convergence and Open Innovation environment. Two frameworks have been adopted in the study, namely; Nexus of Forces and Capability-Based Framework for Open Innovation. The first purpose of the investigation was to identify to what extent and in what ways does Nexus of Forces affects the knowledge capabilities within the Open Innovation environment. The second purpose of the investigation was to identify what practical implications does Nexus of Forces brings to the Open Innovation practices. The investigation was conducted on a single company – Swisscom – by following a case study strategy. The methodological approach for collecting the data was a mixed method approach with concurrent embedded strategy. The study has focused mainly on qualitative data and the quantitative data was nested with the focus to strengthen the findings. For the primary data collection, 6 respondents were selected, Expert A and Expert B for interviews and 4 managers for survey. In regard to the first purpose, our findings have shown that practices of Nexus of Forces have strategical implications on the process of managing knowledge capabilities. The extents of the NoF implications are through a direct and indirect level for the departments, which work with Open Innovation projects and at meta-level for the higher organizational structures within the company. In regard to the second purpose, our findings have shown that practices of Nexus of Forces have tactical implications on the Open Innovation practices. The final outcome of the study is a theoretical model that displays the strategical and tactical implications of Nexus of Forces on the knowledge capabilities and Open Innovation practices within the Open Innovation environment.

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Libri sul tema "Open environmental data":

Sapaty, Peter. Mobile processing in distributed and open environments. New York: John Wiley & Sons, 1999.

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Sapaty, Peter. Mobile processing distributed and open environments. New York: John Wiley & Sons, 1998.

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Bertrand, Dufrasne, e International Business Machines Corporation. International Technical Support Organization., a cura di. IBM system storage DS8000: Copy services in open environments. 4^a ed. [United States?]: IBM, International Technical Support Organization, 2008.

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Dufrasne, Bertrand. IBM system storage DS8000 series: Copy services in open environments. 3^a ed. [United States?]: IBM, International Technical Support Organization, 2006.

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Cathy, Warrick, e International Business Machines Corporation. International Technical Support Organization., a cura di. The IBM TotalStorage DS6000 series: Copy services in open environments. 2^a ed. [United States]: IBM International Technical Support Organization, 2006.

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Dufrasne, Bertrand. IBM system storage DS6000 series: Copy services in open environments. 3^a ed. [United States?]: IBM, International Technical Support Organization, 2006.

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Castets, Gustavo. IBM TotalStorage Enterprise Storage Server: Implementing ESS Copy Services in open environments. 4^a ed. [s.l.]: IBM, International Technical Support Organization, 2004.

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ACES Transition Planning Work Group. e Washington (State). Legislative Evaluation and Accountability Program Committee., a cura di. Transitioning ACES to an open and flexible environment: A transition plan for a changing environment. [Olympia, WA: Legislative Evaluation & Accountability Program Committee, 1995.

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IFIP TC 6/WG 6.1 International Conference on Open Distributed Processing (3rd 1995 Brisbane, Qld.). Open distributed processing: Experiences with distributed environments : proceedings of the third IFIP TC/WG 6.1 international conference on open distributed processing, 1994 [i.e. 1995]. London: Chapman & Hall on behalf of the International Federation for Information Processing (IFIP), 1995.

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Computer Systems Laboratory (U.S.). Systems and Software Technology Division., a cura di. Application Portability Profile (APP): The U.S. Government's open system environment profile version 3.0. Gaithersburg, MD: U.S. Department of Commerce, Technology Administration, National Institute of Standards and Technology, 1996.

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Capitoli di libri sul tema "Open environmental data":

Herman, Lukáš, Jan Russnák e Tomáš Řezník. "Flood Modelling and Visualizations of Floods Through 3D Open Data". In Environmental Software Systems. Computer Science for Environmental Protection, 139–49. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-89935-0_12.

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Blanco, José María, e Jéssica Cohen. "Macro-environmental Factors Driving Organised Crime". In Using Open Data to Detect Organized Crime Threats, 137–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52703-1_7.

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Caradonna, Grazia, Benedetto Figorito e Eufemia Tarantino. "Sharing Environmental Geospatial Data Through an Open Source WebGIS". In Computational Science and Its Applications -- ICCSA 2015, 556–65. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21470-2_40.

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Duarte, J., M. Fernanda Rodrigues e J. Santos Baptista. "Data Digitalisation in the Open-Pit Mining: Preliminary Results". In Occupational and Environmental Safety and Health II, 715–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41486-3_76.

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Kruse, Martin, e Adam D. M. Svendsen. "Foresight and the Future of Crime: Advancing Environmental Scanning Approaches". In Using Open Data to Detect Organized Crime Threats, 73–101. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52703-1_4.

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Câmara, Gilberto, Lúbia Vinhas, Karine Reis Ferreira, Gilberto Ribeiro De Queiroz, Ricardo Cartaxo Modesto De Souza, Antônio Miguel Vieira Monteiro, Marcelo Tílio De Carvalho, Marco Antonio Casanova e Ubirajara Moura De Freitas. "TerraLib: An Open Source GIS Library for Large-Scale Environmental and Socio-Economic Applications". In Open Source Approaches in Spatial Data Handling, 247–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-74831-1_12.

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Borges, Maria C., Frank Pallas e Marco Peise. "Providing Open Environmental Data—The Scalable and Web-Friendly Way". In Progress in IS, 21–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99654-7_2.

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Chandrakala, M., R. Srinivasan, K. Sujatha, Sunil P. Maske, Rajendra Hegde e B. S. Dwivedi. "Applicability of Open Source Satellite Data and GIS for Soil Resources Inventorying and Monitoring". In Environmental Science and Engineering, 27–41. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09270-1_2.

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Berre, Arne J., Sven Schade e Dumitru Roman. "Environmental Infrastructures and Platforms with Citizens Observatories and Linked Open Data". In IFIP Advances in Information and Communication Technology, 688–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41151-9_65.

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Kosmidis, Evangelos, Konstantinos Kourtidis e Panagiota Syropoulou. "ENVI4ALL: Personalised Air Quality Information Based on Open Environmental Data and User-Generated Information". In Collective Online Platforms for Financial and Environmental Awareness, 157–66. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50237-3_8.

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Atti di convegni sul tema "Open environmental data":

Phillips, William, Danny Brown, George M. Russwurm, Jeffrey W. Childers, Edgar L. Thompson e Lori Tussey. "Nonlinear FTIR open-path data reduction algorithm". In Environmental Sensing III, a cura di Klaus Schaefer. SPIE, 1997. http://dx.doi.org/10.1117/12.274723.

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Cushing, Judith Bayard, Denise Lach, Chad Zanocco e Jonathan Halama. "Scientific Visualization and Reproducibility for "Open" Environmental Science". In 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018. http://dx.doi.org/10.1109/bigdata.2018.8622039.

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Hudson, Jody L., Mark J. Thomas, John R. Helvig, Billy J. Fairless, Ray E. Carter, Jr., Dennis D. Lane e Glen A. Marotz. "Assessment of data intercomparability and data quality for multiple open-path FTIR systems". In Environmental Sensing '92, a cura di Joseph J. Santoleri. SPIE, 1993. http://dx.doi.org/10.1117/12.140297.

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Wetz, Peter, Amin Anjomshoaa e A. Min Tjoa. "A Survey on Environmental Open Data in Austria". In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.777.

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Phillips, William, Rick Moyers e Lori T. Lay. "Improved FTIR open-path remote sensing data reduction technique". In Optical Sensing for Environmental and Process Monitoring, a cura di Orman A. Simpson. SPIE, 1995. http://dx.doi.org/10.1117/12.210811.

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"Semantic Approach to WMO Codes". In Special Session on Management of Open Environmental Observation Data. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004843404090414.

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"Conception and Implementation of an OGC-compliant Sensor Observation Service for a Standardized Access to Raster Data". In Special Session on Management of Open Environmental Observation Data. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004868904210427.

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"A (Near) Real-time Validation and Standardization System Tested for MAMBO1 Meteo-marine Fixed Station". In Special Session on Management of Open Environmental Observation Data. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004848504150420.

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"Guidelines and Challenges Towards the Implementation of Intelligent Sensing Techniques in a Water Quality Prediction Application". In Special Session on Management of Open Environmental Observation Data. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004902104280431.

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Hsu, Hsieh-Chih, e Chen-Yu Pan. "Data-Driven Control of Mechanical Ventilation Using Open Data Environmental Factors". In 2023 9th International Conference on Applied System Innovation (ICASI). IEEE, 2023. http://dx.doi.org/10.1109/icasi57738.2023.10179512.

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Rapporti di organizzazioni sul tema "Open environmental data":

Chaudhary, Aashish. OPEN SOURCE SCALABLE DATA SERVICES AND DATA FUSION FOR BIOLOGICAL AND ENVIRONMENTAL SCIENCES. Office of Scientific and Technical Information (OSTI), marzo 2020. http://dx.doi.org/10.2172/1602442.

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Tomasko, Maria S. Evaluating open-path FTIR spectrometer data using different quantification methods, libraries, and background spectra obtained under varying environmental conditions. Office of Scientific and Technical Information (OSTI), gennaio 1995. http://dx.doi.org/10.2172/587725.

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Slone, Scott, Marissa Torres, Alexander Stott, Ethan Thomas e Robert Ibey. CRREL Environmental Wind Tunnel upgrades and the Snowstorm Library. Engineer Research and Development Center (U.S.), gennaio 2024. http://dx.doi.org/10.21079/11681/48077.

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Abstract (sommario):

Environmental wind tunnels are ideal for basic research and applied physical modeling of atmospheric conditions and turbulent wind flow. The Cold Regions Research and Engineering Laboratory's own Environmental Wind Tunnel (EWT)—an open-circuit suction wind tunnel—has been historically used for snowdrift modeling. Recently the EWT has gone through several upgrades, namely the three-axis chassis motors, variable frequency drive, and probe and data acquisition systems. The upgraded wind tunnel was used to simulate various snowstorm conditions to produce a library of images for training machine learning models. Various objects and backgrounds were tested in snowy test conditions and no-snow control conditions, producing a total of 1.4 million training images. This training library can lead to improved machine learning models for image-cleanup and noise-reduction purposes for Army operations in snowy environments.

Hudson Vitale, Cynthia, e Judy Ruttenberg. Investments in Open: Association of Research Libraries US University Member Expenditures on Services, Collections, Staff, and Infrastructure in Support of Open Scholarship. Association of Research Libraries, novembre 2022. http://dx.doi.org/10.29242/report.investmentsinopen2022.

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Open access (OA) and the broad sharing of research outputs has been empirically shown to accelerate scientific progress and benefit society and individuals at scale through improved health outcomes, socioeconomic mobility, and environmental well-being, to name a few. Academic research libraries, for their part, have made significant investments in opening up research and scholarship—particularly research conducted on their campuses and made available through journal subscriptions. Yet these investments are difficult to collect given their distribution across many budget lines, the lack of standardized reporting categories, and inconsistent data collection practices. In May–June 2022 the Association of Research Libraries (ARL) undertook a survey of its US-based academic research libraries to better understand OA expenses. This report presents the survey results.

Coulson, Saskia, Melanie Woods, Drew Hemment e Michelle Scott. Report and Assessment of Impact and Policy Outcomes Using Community Level Indicators: H2020 Making Sense Report. University of Dundee, 2017. http://dx.doi.org/10.20933/100001192.

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Making Sense is a European Commission H2020 funded project which aims at supporting participatory sensing initiatives that address environmental challenges in areas such as noise and air pollution. The development of Making Sense was informed by previous research on a crowdfunded open source platform for environmental sensing, SmartCitizen.me, developed at the Fab Lab Barcelona. Insights from this research identified several deterrents for a wider uptake of participatory sensing initiatives due to social and technical matters. For example, the participants struggled with the lack of social interactions, a lack of consensus and shared purpose amongst the group, and a limited understanding of the relevance the data had in their daily lives (Balestrini et al., 2014; Balestrini et al., 2015). As such, Making Sense seeks to explore if open source hardware, open source software and and open design can be used to enhance data literacy and maker practices in participatory sensing. Further to this, Making Sense tests methodologies aimed at empowering individuals and communities through developing a greater understanding of their environments and by supporting a culture of grassroot initiatives for action and change. To do this, Making Sense identified a need to underpin sensing with community building activities and develop strategies to inform and enable those participating in data collection with appropriate tools and skills. As Fetterman, Kaftarian and Wanderman (1996) state, citizens are empowered when they understand evaluation and connect it in a way that it has relevance to their lives. Therefore, this report examines the role that these activities have in participatory sensing. Specifically, we discuss the opportunities and challenges in using the concept of Community Level Indicators (CLIs), which are measurable and objective sources of information gathered to complement sensor data. We describe how CLIs are used to develop a more indepth understanding of the environmental problem at hand, and to record, monitor and evaluate the progress of change during initiatives. We propose that CLIs provide one way to move participatory sensing beyond a primarily technological practice and towards a social and environmental practice. This is achieved through an increased focus in the participants’ interests and concerns, and with an emphasis on collective problem solving and action. We position our claims against the following four challenge areas in participatory sensing: 1) generating and communicating information and understanding (c.f. Loreto, 2017), 2) analysing and finding relevance in data (c.f. Becker et al., 2013), 3) building community around participatory sensing (c.f. Fraser et al., 2005), and 4) achieving or monitoring change and impact (c.f. Cheadle et al., 2000). We discuss how the use of CLIs can tend to these challenges. Furthermore, we report and assess six ways in which CLIs can address these challenges and thereby support participatory sensing initiatives: i. Accountability ii. Community assessment iii. Short-term evaluation iv. Long-term evaluation v. Policy change vi. Capability The report then returns to the challenge areas and reflects on the learnings and recommendations that are gleaned from three Making Sense case studies. Afterwhich, there is an exposition of approaches and tools developed by Making Sense for the purposes of advancing participatory sensing in this way. Lastly, the authors speak to some of the policy outcomes that have been realised as a result of this research.

Boyle, Maxwell. Terrestrial vegetation monitoring at Cape Lookout National Seashore: 2022 data summary. National Park Service, 2024. http://dx.doi.org/10.36967/2303636.

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Parks within the Southeast Coast Network (SECN) host a diverse assemblage of plants and terrestrial vegetation communities. Vegetation communities are dynamic entities whose species composition, abundance, distribution, and structure are influenced by environmental factors and impacted over time by natural and anthropogenic disturbances. Determining trends in vegetation communities over time and identifying plant stressors is vital to understanding the ecological health of terrestrial ecosystems within SECN parks. Like most barrier islands along the southeastern coast, the vegetation communities along Cape Lookout National Seashore range from open beach and foredune grasslands on the ocean-facing side to tidal marshes on the sound-facing side. Between is a mixture of interdune swales, backdunes, and enclosed wetlands. Open upland vegetation is found on foredunes and occasional backdunes within the seashore. Cape Lookout National Seashore ecosystems are subjected to high frequencies of storm-, wind-, tide-, and wave-driven processes. Historic and current vegetation composition and structure are largely a result of these highly dynamic processes. Current vegetation patterns and processes across the Outer Banks are impacted and will continue to be impacted by rising sea-levels. Vegetation communities are vulnerable to overwash, which moves sand from the island?s ocean-side to the sound-side, brought on by more frequent and higher intensity storms. In 2019, Hurricane Dorian produced significant storm surge from the sound-side that overwashed the island and deposited sand into the ocean. Sand was scoured out from over 54 major cuts in the island, creating current ponds that are in various stages of succession. 2022 marked the first year of conducting this monitoring effort at Cape Lookout National Seashore. Forty-nine vegetation plots were established throughout the park in May and June. Data collected in each plot included species richness across multiple spatial scales, species-specific cover and constancy, species-specific woody stem seedling/sapling counts and adult tree diameter at breast height (DBH), overall tree health, landform, soil, observed disturbance, and woody biomass estimates. Data were stratified across four dominant broadly defined habitats within four park subunits: North Core Banks, South Core Banks, Cape Lookout, and Shackleford Banks. Broadly defined habitats monitored included: Open Upland Vegetation, Upland Forests and Shrublands, Nontidal Wetland Vegetation and Tidal Wetlands. One hundred and eighty-six vascular plant taxa were detected during this monitoring effort, including 11 taxa not detected in previous lists. Human-caused disturbances (e.g., historical plowing, shifting fire regimes, and altered hydrology) affecting plant communities within other SECN parks were not observed within these plots during this survey effort. Stunted plant growth was observed on several plots of Shackleford Banks and is likely caused by feral horse grazing. It is unclear from these data if grazing has impacted overall vegetation diversity and structure patterns across the island.

O'Neill, H. B., S. A. Wolfe e C. Duchesne. Ground ice map of Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330294.

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This Open File presents national-scale mapping of ground ice conditions in Canada. The mapping depicts a first-order estimate of the combined volumetric percentage of excess ice in the top 5 m of permafrost from segregated, wedge, and relict ice. The estimates for the three ice types are based on modelling by O'Neill et al. (2019) (https://doi.org/10.5194/tc-13-753-2019), and informed by available published values of ground ice content and expert knowledge. The mapping offers an improved depiction of ground ice in Canada at a broad scale, incorporating current knowledge on the associations between geological and environmental conditions and ground ice type and abundance. It provides a foundation for hypothesis testing related to broad-scale controls on ground ice formation, preservation, and melt. Additional compilation of quantitative field data on ground ice and improvements to national-scale surficial geology mapping will allow further assessment and refinement of the representation of ground ice in Canada. Continued research will focus on improving the lateral and vertical representation of ground ice required for incorporation into Earth system models and decision-making. Spatial data files of the mapping are available as downloads with this Open File.

Lasko, Kristofer, e Sean Griffin. Monitoring Ecological Restoration with Imagery Tools (MERIT) : Python-based decision support tools integrated into ArcGIS for satellite and UAS image processing, analysis, and classification. Engineer Research and Development Center (U.S.), aprile 2021. http://dx.doi.org/10.21079/11681/40262.

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Monitoring the impacts of ecosystem restoration strategies requires both short-term and long-term land surface monitoring. The combined use of unmanned aerial systems (UAS) and satellite imagery enable effective landscape and natural resource management. However, processing, analyzing, and creating derivative imagery products can be time consuming, manually intensive, and cost prohibitive. In order to provide fast, accurate, and standardized UAS and satellite imagery processing, we have developed a suite of easy-to-use tools integrated into the graphical user interface (GUI) of ArcMap and ArcGIS Pro as well as open-source solutions using NodeOpenDroneMap. We built the Monitoring Ecological Restoration with Imagery Tools (MERIT) using Python and leveraging third-party libraries and open-source software capabilities typically unavailable within ArcGIS. MERIT will save US Army Corps of Engineers (USACE) districts significant time in data acquisition, processing, and analysis by allowing a user to move from image acquisition and preprocessing to a final output for decision-making with one application. Although we designed MERIT for use in wetlands research, many tools have regional or global relevancy for a variety of environmental monitoring initiatives.

Sayeh, Watheq, Imad Al-Qadi e Ramez Hajj. Utilizing Reclaimed Asphalt Pavement in Preservation Treatments. Illinois Center for Transportation, ottobre 2023. http://dx.doi.org/10.36501/0197-9191/23-022.

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The use of reclaimed asphalt pavement (RAP) has economic and environmental impacts. This report investigates the prospective use of RAP in preservation treatments (mainly chip sealing and microsurfacing) in Illinois. A review of the current state of knowledge and practice was conducted. The economic and logistic feasibility of using RAP in preservation treatments in Illinois were investigated. Data were collected on RAP availability in the state followed by a survey distributed to district engineers and highway construction contractors. The survey asked about the availability of RAP, its viability in preservation treatments, and the readiness for its application. A unit price analysis was conducted to assess the financial viability of using RAP compared to virgin aggregate. The results suggested there was an excess of good quality and fractionated RAP, and contractors are open to using RAP in various applications. Considering contract unit prices in Illinois, no significant difference would be expected when RAP is used in place of virgin aggregate. Hence, using RAP in preservation treatments would probably make preservation treatments more viable. Economic and environmental analyses demonstrated that using RAP in preservation treatments would reduce the impact on the environment by reducing energy, global warming potential, and greenhouse gases while providing cost savings. A simple decision tool was developed to provide guidance on using RAP in preservation treatments.

Lease e Jones. PR-266-12213-R01 Minimizing Gas Compressor Lubricating Oil Consumption. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), marzo 2013. http://dx.doi.org/10.55274/r0010085.

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One of the main sources of fouling in pipelines is related to the use of lubrication (and possibly over-lubrication) in reciprocating compressors. In addition to the obvious cost of lubricants, there are also many hidden costs associated with reciprocating compressor lubrication. Some of these hidden costs include disposal of collected oil, gas storage field contamination, scrubber cleaning, and loss of general pipeline efficiency. Minimizing reciprocating gas compressor lubrication oil consumption can address these costs while at the same time reducing the negative environmental impact associated with reciprocating compressor over-lubrication. One approach to minimize reciprocating compressor lubrication oil consumption is to use non-lubricated reciprocating compressor trim (e.g. filled PTFE composites). This report provides an in-depth evaluation of a wear test program performed on a variety of filled PTFE materials in air and a natural gas environment. This evaluation included comparison of this data to results provided in the open literature. One specific reference used as a comparison performed a comprehensive wear testing program on filled PTFE materials in a variety of gases (including methane) for a variety of dew points. Parameters evaluated in this study included the effect of dew point ranging from +0� C to -100� C, and the effect of various gas environment, including air, methane, propane, ethylene, and nitrogen.