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243 results for “information systems”
Information System for Cycling Navigation for Aveiro, Portugal - Database and ArcGIS Graph
<p>This data was collected within the scope of a master's thesis in mechanical engineering from University of Aveiro, Portugal. The goal was to develop a information system for cycling navigation for an urban area of the portuguese city of Aveiro. Therefore, data collection was achieved through an instrumented alluminium bicycle equipped with a 1) GNSS Data Logger, 2) wireless heart rate recorder device and 3) video camera. 120 km were covered to collect 8h of video and about 100000 second by second data points, which were analyzed and organized through an 449 link-map built in ArcGIS. Seven different bikeability indicators were built: travel time, energy expenditure, effort distribution, infrastructure performance, safety, comfort and emissions hotspots of two pollutants (CO2 and NOx).</p> <p>The spreadsheet dataset is divided into three sections:</p> <ol> <li>Final Attributes - all the collected and treated data of each link, both used in the indicators and in another set for system' network analysis;</li> <li>Attributes Statistics - reveals some statistics of the weighted final atrributes achieved, such as mean, standard error, standard deviation, range, confidence level, among others;</li> <li>Link Type Statistics - reveals the distribution of the different link-types along the map and the respective average speeds recorded.</li> </ol> <p>In order to associate the FID numbers with the respective links, the developed ArcGIS graph was also made available. </p>
Data from: Use of web-based species occurrence information systems by academics and government professionals
<p>Web-based information systems designed to increase access to species occurrence data for use in research and natural resource decision-making have become more prevalent over the past few decades. The effectiveness of these systems depends on their usability and extent of use by their intended audiences. We conducted an online survey of academics and government professionals in the United States to compare their species occurrence data needs and their perceptions and use of web-based species occurrence information systems. Our results indicate that although views and perceptions held by academics and government professionals about the importance, usefulness, and ease of use of these information systems tend to be similar, there were differences in their use of species occurrence data and web-based species occurrence information systems. The baseline information obtained in this study will help inform future directions for improvements in species occurrence information systems.</p>
Data from: Spatial and temporal patterns of environmental DNA detection to inform sampling protocols in lentic and lotic systems.
<p>The development of efficient sampling protocols for the capture of environmental DNA (eDNA) could greatly help improve accuracy of occupancy monitoring for species that are difficult to detect. However, the process of developing a protocol in situ is complicated for rare species by the fact that animal locations are often unknown. We tested sampling designs in lake and stream systems to determine the most effective eDNA sampling protocols for two rare species: the Sierra Nevada yellow-legged frog (<i>Rana sierrae</i>) and the foothill yellow-legged frog (<i>R. boylii</i>). We varied water volume, spatial sampling, and seasonal timing in lakes and streams; in lakes we also tested multiple filter types. We found that filtering 2 L versus 1 L increased the odds of detection in streams 5.42X (95% CI: 3.2-9.19X) in our protocol, from a probability of 0.51 to 0.85 per technical replicate. Lake sample volumes were limited by filter clogging and we found no effect of volume or filter type. Sampling later in the season increased the odds of detection in streams by 1.96X for every 30 days (95% CI: 1.3 - 2.97X) but there was no effect for lakes. Spatial autocorrelation of the quantity of yellow-legged frog eDNA captured in streams between 100 and 200 m, indicating that sampling at close intervals is important.</p>
Project Database and Environmental and Circularity Database containing information on Basajaun Façade System Modules
<p><strong><span>1. INTRODUCTION</span></strong></p> <p><strong><span>The Basajaun project aims to build a sustainable joint between rural and urban areas through circular and innovative wood construction value chains. Building façade was one of the innovations developed in Basajaun, which were implemented in digital and real scale demo buildings. The main innovation for the façade includes the implementation of </span></strong><span> <strong>hybrid bio-based polymers and wood over three technological systems that incorporate increased use of wood-based components and a novel bio-composite material: the frame profiles, the insulation equipment, and the seal system.</strong> <strong>This implies the need to verify the reduction of environmental impact, including the calculation of its Embodied Carbon.</strong> </span></p> <p><strong><span><br>2. REPOSITORY</span></strong> </p> <p><strong><span>The Project Database and Environmental and Circularity Database presented here serve as repositories of the specific information related to the Basajaun Façade System's life cycles (A1-A5) employed to assess its cradle-to-practical-completion Embodied Carbon. It can also be used to validate the digital Semantic Framework conceived for the facilitation of Façade Environmental Assessment beneath the project.<br>The Project Database contains datasets with technical information on each façade module analysed. This should be regarded as a complete database for the Basajaun commission job, including (1, 2, and 3) the list of materials, components, and processes related to three different modules (Glazed Vision, Opaque, and Window modules); (4) the façade modules assembly off-site; (5) Information on transporting modules to the construction site; and (6) the construction activities related to Opaque and Window modules.<br>The Environmental and Circularity Database is designed to be unique to the production plant and contains the four datasets. The first dataset (1) provides information on the environmental impact of each possible single material, component, or process related to the façade module's life cycle (e.g., carbon factors). Assembly off-site (2) and logistics (3) consumption and emissions data are stored separately in two different datasets. Finally, the dataset related to construction site options (4) contains data on all working activities related to the façade modules.</span></strong><span> </span></p> <p><strong><span><br>3. INSTALLATION</span></strong></p> <p><strong><span>All datasets are in .csv format with data separated by a ";".</span></strong><span> <strong><br>Private data belonging to third parties or under copyright, which cannot be published, have been replaced with "omitted".</strong></span></p>
Data of "Using current research information systems to investigate data acquisition and data sharing practices of computer scientists"
<p>This study describes a methodology where departmental academic publications are used to analyse the ways in which computer scientists share research data.</p> <p>Without sufficient information about researchers’ data sharing, there is a risk of mismatching FAIR data service efforts with the needs of researchers. This study describes a methodology where departmental academic publications are used to analyse the ways in which computer scientists share research data. The advancement of FAIR data would benefit from novel methodologies that reliably examine data sharing at the level of multidisciplinary research organisations. Studies that use CRIS publication data to elicit insight into researchers’ data sharing may therefore be a valuable addition to the current interview and questionnaire methodologies.</p> <p><strong>Data was collected from the following sources:</strong></p> <p>All journal articles published by researchers in the computer science department of the case study’s university during 2019 were extracted for scrutiny from the current research information system. For these 193 articles, a coding framework was developed to capture the key elements of acquiring and sharing research data. Article DOIs are included in the research data.</p> <p>The scientific journal articles and theirs DOIs are used in this study for the purpose of academic expression.</p> <p>The raw data is compiled into a single CSV file. Rows represent specific articles and columns are the values of the data points described below. Author names and affiliations were not collected and are not included in the data set. </p> <p> </p> <p>The following data points were used in the analysis:</p> <p><strong>Data points</strong></p> <ul> <li><strong>Main study types</strong></li> <li>Literature-based study (e.g. literature reviews, archive studies, studies of social media)</li> <li>yes/no</li> <li>Novel computational methods (e.g. algorithms, simulations, software)</li> <li>yes/no</li> <li>Interaction studies (e.g, interviews, surveys, tasks, ethnography)</li> <li>yes/no</li> <li>Intervention studies (e.g., EEG, MRI, clinical trials)</li> <li>yes/no</li> <li>Measurement studies (e.g. astronomy, weather, acoustics, chemistry)</li> <li>yes/no</li> <li>Life sciences (e.g. “omics”, ecology)</li> <li>yes/no</li> <li><strong>Data acquisition</strong></li> <li>Article presents a data availability statement</li> <li>yes/no</li> <li>Article does not utilise data</li> <li>yes/no</li> <li>Original data was collected</li> <li>yes/no</li> <li>Open data from prior studies were used</li> <li>yes/no</li> <li>Open data from public authorities, companies, universities and associations</li> <li>yes/no</li> <li><strong>Data sharing</strong></li> <li>Article does not use original data</li> <li>yes/no</li> <li>Data of the article is not available for reuse</li> <li>yes/no</li> <li>Article used openly available data</li> <li>yes/no</li> <li>Authors agree to share their data to interested readers</li> <li>yes/no</li> <li>Article shared data (or part of) as supplementary material</li> <li>yes/no</li> <li>Article shared data (or part of) via open deposition</li> <li>yes/no</li> <li>Article deposited code or used open code</li> <li>yes/no</li> </ul>
Description of the Berliner Handreichungen zur Bibliotheks- und Informationswissenschaft & JITA Classification System of Library and Information Science
<p>The two excel files contain data about the collection of the <a href="https://pages.cms.hu-berlin.de/ibi/BHR/">Berliner Handreichungen zur Bibliotheks- und Informationswissenschaft</a> (date of scraping data: March 20, 2021) and the collection of the <a href="http://eprints.rclis.org/view/subjects/"> JITA Classification System of Library and Information Science</a> (date of scraping data: March 20, 2021).</p>
Databases and information systems for research output: digital humanities outlook (DARIAH Bibliographical Data Working Group, September, 30th 2022)
<p>The video recording of the workshop "Databases and information systems for research output: digital humanities outlook" organized by DARIAH Bibliographical Data Working Group.</p>
Project files provided as supporting information to the manuscript "Fast, accurate, and system-specific variable-resolution modelling of proteins"
<p>Project files provided as supporting information to the manuscript "Fast, accurate, and system-specific variable-resolution modelling of proteins".</p> <p>The dataset contains the following files:</p> <p>- RMSD_adk: files containing the root-mean-square deviation computed on the C-alpha atoms/beads in the atomistic and CANVAS simulations of adk (Figure 6).</p> <p>- RMSF_adk: files containing the root-mean-square fluctuations of the C-alpha atoms/beads in the atomistic and CANVAS simulations of adk (Figure 6).</p> <p>- APBS_adk: PQR file of the system and DX file of the surface potential, for both the atomistic and CANVAS systems (Figure 7).</p> <p>- SASA_antibody: files containing the per-residue solvent accessible surface area of the atomistic region of the ake protein, in the atomistic and CANVAS simulations (Figure 8).</p> <p>- RMSF_antibody: files containing the root-mean-square fluctuations of the C-alpha atoms/beads in the atomistic and CANVAS simulations of antibody (Figure 9).</p> <p>- APBS_antibody: PQR file of the system and DX file of the surface potential, for both the atomistic and CANVAS systems (Figure 10).</p> <p>- SASA_antibody: files containing the per-residue solvent accessible surface area of the hinge region of the antibody for each conformational cluster, in the atomistic and CANVAS simulations (Figure 11).</p> <p>- RMSIP_antibody: RMSIP between the essential subspaces computed from the atomistic and CANVAS simulations (Figure S3).</p> <p>- rgyr_antibody: files containing the radii of gyration of the antibody for each conformational cluster, in the atomistic and CANVAS simulations (Figure S4).</p> <p>- ake_AA.mp4: video of the all-atom simulation of adenylate kinase</p> <p>- ake_canvas.mp4: video of the canvas simulation of adenylate kinase</p>
Supporting Information for the Journal Article "Self-Parametrizing System-Focused Atomistic Models"
<p>This dataset contains the supporting information published together with the article "Self-Parametrizing System-Focused Atomistic Models" (<a href="https://doi.org/10.1021/acs.jctc.9b00855"><em>J. Chem. Theory Comput.</em>, <strong>2020</strong>, <em>16</em>, 1646</a>).</p>
data of precipitation cloud system information for April-June 2018-2022 in South China
<p>The three-dimensional structural information of precipitation cloud systems in South China for April-June 2018-2022 is recorded in this data, including the rain cells': id, latitude, longitude, DSD, precipitation contour, radar reflectivity factor, rainstorm top height, melting layer height and so on.</p>
Open Data in German Forest Information Systems: Towards an EU Forest Resilience Monitor (Collection of Forest Resilience Indicators)
<p>This dataset represents the collection of forest indicators for my Master's Thesis in the pioneer master programme at the Universities of Münster, Tallinn (Taltech) and Leuven (KUL), titled "Open Data in German Forest Governance: Towards an EU Forest Resilience Monitor". </p> <p>It contains a classification of inicators sourced from:</p> <ul> <li> <p><span>Nikinmaa, L., Lindner, M., Cantarello, E., Jump, A. S., Seidl, R., Winkel, G., & Muys, B. (2020). Reviewing the use of resilience concepts in forest sciences. <em>Current Forestry Reports, 6</em>, 61-80.</span></p> </li> <li> <p><span>European Commission. (2023a). Proposal for a REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL on a monitoring framework for resilient European forests. <em>Directorate-General for Environment</em>. Lastly retrieved on December 17, 2023 from </span><span><a href="https://ec.europa.eu/transparency/documents-register/detail?ref=COM(2023)728&amp;lang=en&lang=en"><span>https://ec.europa.eu/transparency/documents-register/detail?ref=COM(2023)728&amp;lang=en&lang=en</span></a></span><span>. </span></p> </li> <li> <p><span>European Parliament. (2024, February 27). European Parliament legislative resolution of 27 February 2024 on the proposal for a regulation of the European Parliament and of the Council on nature restoration (COM(2022)0304 – C9-0208/2022 – 2022/0195(COD)). Lastly retrieved on April 26, 2024 from </span><span><a href="https://www.europarl.europa.eu/doceo/document/TA-9-2024-0089_EN.html"><span>https://www.europarl.europa.eu/doceo/document/TA-9-2024-0089_EN.html</span></a></span><span>. </span></p> </li> </ul>
Figure 3 in Developing an advanced information system to support ballast water management
Figure 3. An overall view of all modules of the Ballast Water Information System.
Survey of library information science graduates' readiness to create an information system in the library (using open science as an example)
<p><strong>Survey "Readiness of library information science graduates to create an information system in the library (on the example of open science)"</strong></p> <p>The research is aimed at identifying the degree of readiness of future specialists in the field of library and information science to work in new and relevant areas of library activities related to the development of information infrastructure of open science.</p> <p>The survey consists of 4 thematic blocks and contains 21 questions.</p> <p>The survey was attended by 54 students from 10 Russian universities, studying in the direction of training 51.03.06 "Library and Information Science".</p> <p>The results of this survey will serve as a basis for the development of professional development programmes on various aspects of the functioning of open science for specialists in the field of library and information activity.</p> <p><strong>Опрос «Готовность выпускников направления библиотечная информационная наука к созданию системы информирования в библиотеке (на примере открытой науки)»</strong></p> <p>Исследование направленно на выявление степени готовности будущих специалистов в области библиотечно-информационной деятельности к работе в новых и актуальных направлениях деятельности библиотек, связанных с развитием информационной инфраструктуры открытой науки.</p> <p>Опрос состоит из 4-х тематических блоков и содержит 21 вопрос.</p> <p>В опросе приняли участие 54 студента из 10 российских вузов, обучающихся по направлению подготовки 51.03.06 «Библиотечно-информационная деятельность».</p> <p>Результаты данного опроса послужат основой разработки программ повышения квалификации по различным аспектам функционирования открытой науки для специалистов в области библиотечно-информационной деятельности.</p>
An in-silico analysis of information sharing systems for adaptable resources management: a case study of oyster farmers
<p>Model and data outcomes --> We developed an agent-based models involving oyster farmers sharing information to adapt to an ill-understood virus. Various scenarios of heterogeneity and information sharing (through social networks and centralized information system) are simulated.</p>
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS for DH from 01-Dec-2020 downloads
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p>
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS hierarchy March 31 2020
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p>from Aug 28 2019 downloads, with vernacular names removed
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS hierarchy from 28-Aug-2019 downloads
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p><p></p>https://eol-jira.bibalex.org/browse/DATA-1824
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS hierarchy temp fix
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p>ITIS hierarchy from 25-Feb-2019 downloads, with kingdom column removed.
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS hierarchy from 25-Feb-2019 downloads
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p>
TRAM-804 Integrated Taxonomic Information System (ITIS) Taxonomic Hierarchy: ITIS hierarchy from 28-Jul-2020 downloads
Authoritative taxonomic information on plants, animals, fungi, and microbes of North America and the world. ITIS ia a partnership of U.S., Canadian, and Mexican agencies (ITIS-North America); other organizations; and taxonomic specialists. ITIS is also a partner of Species 2000 and the Global Biodiversity Information Facility (GBIF).<p></p><p></p>https://eol-jira.bibalex.org/browse/TRAM-987
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.