Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
8,537
datasets available to search
ShareScore release 0.9.0
Dataset results
8,537 results for “Openness”
Raw data behavior in olfactory tubing maze and open field
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The benefit of augmenting open data with clinical data-warehouse EHR for forecasting SARS-CoV-2 hospitalizations in Bordeaux area, France
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k-mer matrix Aegilops tauschii diversity panel (Open wild wheat consortium phase II) Part 1/3
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Data from: Open-top Bessel beam two-photon light sheet microscopy for three-dimensional pathology
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Supporting data and software for: Low-temperature open-air synthesis of PVP-coated NaYF4:Yb,Er,Mn upconversion nanoparticles with strong red emission
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Phenotypic characterization of southeastern United States open-pollinated maize landraces
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Data from: An open spatial capture–recapture model for estimating density, movement, and population dynamics from line-transect surveys
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Monitoring animal populations with cameras using open, multistate, N-mixture models
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Population genomics of the wild wheat Aegilops tauschii (Open wild wheat consortium phase II)
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k-mer matrix Aegilops tauschii diversity panel (Open wild wheat consortium phase) Part 3/3
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k-mer matrix Aegilops tauschii diversity panel (Open wild wheat consortium phase II) Part 2/3
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Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis
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Open Lowland Environmental Monitoring Station, Black Rock Forest, NY, raw hourly data
Black Rock Forest maintains the Open Lowland real-time weather station at 129 Continental Rd, Cornwall, NY. The system was designed to measure air temperature (average, maximum, minimum), relative humidity (average, maximum, minimum), average vapor pressure, dew point temperature, photosynthetically active solar radiation, net global solar radiation, mean horizontal wind speed, mean wind direction, standard deviation of wind direction, maximum wind speed, precipitation amount, barometric pressure (average, maximum, minimum), and average soil temperature at two depths. Other sensors are used to measure snow depth, CO2 concentration, and albedo. Data are collected from the Open Lowland Station using a CR1000. Most instruments have a sample interval of 1 minute. The program records averages, minimum or maximum of those 1-minute readings every hour. Rainfall is totals for the 1 hour period.
SOils DAta Harmonization database (SoDaH): an open-source synthesis of soil data from research networks
This SOils DAta Harmonization (SoDaH) database is designed to bring together soil carbon data from diverse research networks into a harmonized dataset that can be used for synthesis activities and model development. The research network sources for SoDaH span different biomes and climates, encompass multiple ecosystem types, and have collected data across a range of spatial, temporal, and depth gradients. The rich data sets assembled in SoDaH consist of observations from monitoring efforts and long-term ecological experiments. The SoDaH database also incorporates related environmental covariate data pertaining to climate, vegetation, soil chemistry, and soil physical properties. The data are harmonized and aggregated using open-source code that enables a scripted, repeatable approach for soil data synthesis.
SGS-LTER CO2 Elevation Study: Assimilation vs. intercellular CO2 response curves on Open Top Chamber species on the Central Plains Experimental Range, Nunn, Colorado, USA 1997 - 2001
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82454. Single leaf gas exchange (CO2 & H2O) was measured several times per season on important grass species in the shortgrass steppe open-top-chamber experiment. Cuvette CO2 levels were varied to investigate physiological adaptations to elevated CO2. C3 grass displayed photosynthetic acclimation, while C4 grass did not. Leaf water-use-efficiency was improved under ECO2. Absolute assimilation rates were more dependent on soil and plant water status than on CO2. This research was conducted at the Central Plains Experimental Range, near Nunn, CO; lat.40degrees 40 minutes N; long. 104 degrees 45 minutes W in the shortgrass steppe region of NE Colorado, USA and as a collaboration between SGS-LTER and USDA-ARS researchers.
SGS-LTER CO2 Elevation Study: Leaf carbon isotope, nitrogen, carbon and Ci/Ca means from the SGS Open Top Chamber experiment on the Central Plains Experimental Range, Nunn, Colorado, USA 1997 - 2001
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82454. Carbon isotopes of elevated and ambient OTC plants were measured for use in isotope labeling and plant water-use-efficiency measures. Leaf N and C are associated parameters were also measured. This research was conducted at the Central Plains Experimental Range, near Nunn, CO; lat.40degrees 40 minutes N; long. 104 degrees 45 minutes W in the shortgrass steppe region of NE Colorado, USA and as a collaboration between SGS-LTER and USDA-ARS researchers.
SGS-LTER CO2 Elevation Study: Amount of seedlings germinated from surface soil of Open Top Chamber plots on the Central Plains Experimental Range, Nunn, Colorado, USA 1997 - 2001
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82454. At the end of the Open Top Chamber study, surface soil was removed from each of the 9 plots, and placed in flats in a greenhouse; mist irrigated frequently, and germinated seedlings were identified by species, to get an idea of the available seed bank after 5 years. There was a great amount of variability; overall there was an increase in seeds in the chambered plots. This research was conducted at the Central Plains Experimental Range, near Nunn, CO; lat.40degrees 40 minutes N; long. 104 degrees 45 minutes W in the shortgrass steppe region of NE Colorado, USA and as a collaboration between SGS-LTER and USDA-ARS researchers.
SGS-LTER CO2 Elevation Study: Stipa comata basal size and plant density per Open Top Chamber plot on the Central Plains Experimental Range, Nunn, Colorado, USA 1997 - 2001
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82454. At the end of the Open Top Chamber experiment the number and basal size of Stipa comata plants in ambient and elevated (720ppm) chambered and unchambered plots was measured. There was a greater number of small plants and seedlings in the elevated CO2 plots. This research was conducted at the Central Plains Experimental Range, near Nunn, CO; lat.40degrees 40 minutes N; long. 104 degrees 45 minutes W in the shortgrass steppe region of NE Colorado, USA and as a collaboration between SGS-LTER and USDA-ARS researchers.
JRC Open Power Plants Database (JRC-PPDB-OPEN)
<p>In 2017 the Joint Research Centre developed a Power Plant Database for energy systems modelling (JRC-PPDB) in order to support the unit activities in energy systems modelling and knowledge management.</p> <p>As demand for open data is increasingly sought after, an open version (JRC-PPDB-OPEN), based on exclusively open data was designed. The JRC-PPDB-OPEN is primarily based on a collection of all the information published by ENTSO-E<a href="#_ftn1">[1]</a> on the European power plants at unit level. This information was extended, improved, and where possible corrected using information contained in open datasets published by WRI Powerwatch<a href="#_ftn2">[2]</a>, Global energy observatory<a href="#_ftn3">[3]</a>, FRESNA<a href="#_ftn4">[4]</a> and the EEA<a href="#_ftn5">[5]</a>.</p> <p>The JRC-PPDB-OPEN database is a first attempt towards a more detailed and coherent, albeit still incomplete, dataset of European power plants. Further work to expand and improve the information contained therein is called for. To this extend, and in order to facilitate the future involvement of third parties in such efforts, the associations between records in the different datasets (linkage) are included.</p> <p> </p> <p><a href="#_ftnref1">[1]</a> <a href="https://transparency.entsoe.eu/">https://transparency.entsoe.eu/</a></p> <p><a href="#_ftnref2">[2]</a> <a href="http://datasets.wri.org/dataset/globalpowerplantdatabase">http://datasets.wri.org/dataset/globalpowerplantdatabase</a></p> <p><a href="#_ftnref3">[3]</a> <a href="http://globalenergyobservatory.org/">http://globalenergyobservatory.org/</a></p> <p><a href="#_ftnref4">[4]</a> <a href="https://github.com/FRESNA/powerplantmatching">https://github.com/FRESNA/powerplantmatching</a></p> <p><a href="#_ftnref5">[5]</a> <a href="https://prtr.eea.europa.eu/#/home">https://prtr.eea.europa.eu/#/home</a></p>
Open access publishers: the DOAJ Seal profile
<p>The DOAJ database was created in 2003 and includes almost 14,000 peer-reviewed open access journals covering all knowledge areas, published in 130 countries. There is a selective process to be followed to assure the quality of the titles. DOAJ is maintained by Infrastructure Services for Open Access (IS4OA) and its funding is derived from donations (40% from publishers and 60% from the public sector). DOAJ introduced a quality distinction, called the DOAJ Seal, to identify the most prominent journals. There are 1354 journals (around 10% of the total) that have been awarded the Seal.</p> <p>The search strategy involved using the Seal option, then ranking the journals to identify the biggest publishers, the number of journals and the number of articles. We have extracted the following indicators from DOAJ: publisher, title, ISSN, country, number of articles, knowledge area (according to the DOAJ classification), value of article processing charges in USD, time for publication in weeks, and year of indexing in DOAJ.</p>
ScienceDex guides
Understand access before you commit
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.