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225 results for “Global database”
Data and code associated to the manuscript: "The Octocoral Trait Database: a global database of trait information for octocoral species"
<p>The ZIP file contains structured data and code to create all figures from the manuscript: “The Octocoral Trait Database: a global database of trait information for octocoral species”.</p> <p>The folder contains the following files:</p> <p>· Code.R – This is the annotated code used to create all figures in R. (v R studio; 2023.06.0+421)</p> <p>· database.csv – This is the first data realase of the octocoral trait database, used to create all figures of the manuscript.</p> <p>· sp_id.csv – This is a file containing the list of accepted octocoral species contained in the database</p> <p>· iqtree.tre – This is a tree object used to create a family-resolved tree of octocorals. It has been downloaded from McFadden et al. 2022. Revisionary systematics of Octocorallia (Cnidaria: Anthozoa) guided by phylogenomics</p> <p>· MEOW – A folder containing regional information from Spalding et al. 2007. Marine Ecoregions of the World: A Bioregionalization of Coastal and Shelf Areas</p> <p>· Provinces_coord.csv: A file containing the coordinates of marine provinces, also derived from Spalding et al. 2007</p>
Material extraction (used) (construction minerals) from Global Material Flows Database
<p>The following data was used in the paper "Schiller & Roscher (2023). Impact of Urbanization on construction material consumption: A global analysis" to calculate material consumption of non-metallic mineral construction materials.</p> <p>This dataset provided data on the extraction of mineral construction materials that are used for further processes. The data represent the extraction of raw materials from the environment by country. They are based on reported data on the one hand and estimated data on the other. The specific assumptions and factors for the estimates can be found in Krausmann et al. (2009). Growth in global material use, GDP and population during the 20th century. Ecological Economics 68(10) 2696-2705. doi: 10.1016/j.ecolecon.2009.05.007.<br> In the MFA methodology, some categories of materials are defined as "unused extraction" because they are not economically used or further processed. For example, unused materials include overburden from mining activities and unused residues from biomass extraction (OECD, 2008). These are not included in presented data.</p> <p>The following materials belong to the group of construction minerals: asphalt, chert and flint, common clay, clay for bricks etc., crushed stone, igneous rock, lava sand, limestone, marl, shell, loam, marble, travertines, sand and gravel, sandstone, slate and turfaceous rock (see Lutter, S., Lieber, M., & Giljum, S. (2016). Global Materialflow database. Material extraction data. Technical Report, Version 2015.1. retrieved February 2018 from www.materialflows.net).<br> The status of the given data is spring 2018 and was downloaded from www.materialflows.net at this time. Due to restructuring of the website, 2018 data is no longer available online. Current data on material extraction and consumption can be found on United Nations Environment Programme, International Resource Panel (IRP). (2023). Global Material Flows Database. https://www.resourcepanel.org/global-material-flows-database.</p>
MFishBT: A global database of biogeochemical tags in migratory fish
<p>Humans have long been fascinated by the mysteries surrounding fish migrations, and addressing these complex behaviors often requires large datasets. Biogeochemical tags, including trace elements and stable isotopes, are the most accessible biomarkers for tracking fish migrations. However, access to standardized biogeochemical tag data is rarely available for migratory fish, which limits our understanding of the evolutionary origins, drivers, timing, and corridors of migration. This precludes the development of conservation strategies and the implementation of management actions. Here, we present MFishBT, a global, open-access database of Migratory Fish’s Biogeochemical Tags. As of April 2023, the MFishBT contains biogeochemical records from 1,305 studies, of which 53% used element-to-calcium (E/Ca) ratios, 34% used isotopic ratios, and 13% used both. The database covers 17,410 field sampling locations (inland 47% vs. marine 53%) around the globe, comprising 490 migratory fish species of four classes, 44 orders/suborders, and 137 families. Seventy-seven trace elements and 11 isotope systems were measured across various fish biological archives, including otoliths, scales, eye lenses, and vertebrae. E/Ca ratios were examined more frequently than isotopic ratios, led by Sr/Ca, Mg/Ca, Ba/Ca, and 87Sr/86Sr, δ13C, and δ18O, respectively. The MFishBT compiles 27,030, 16,222, and 2,481,714 records with biogeochemical data detected in the core, edge, and core-to-edge transects for biological archives of migratory fish, respectively. This is the most globally comprehensive open-access database on biogeochemical tags in migratory fish to date, which can serve a variety of needs in scientific research, conservation, and management. We encourage researchers to add more datasets to this database in the future. This database is released for non-commercial use only. There are no copyright restrictions, and please cite this paper when using these data, or a subset of these data, for publication.</p>
LU3M7TGT: An AI-Powered Global Database of impact craters >=0.5 km on the Moon.
<p>Release of a new global craters catalog (<strong>LU3M7TGT</strong>) with more than 3.7 million craters (>=0.5 km in diameter)</p> <ul> <li><em>File source csv</em></li> <li><em>Header: Longitude, Latitude, Diameter_w, Diameter_h, Confidence, WindowMinLon, WindowMaxLon, WindowMinLat, WindowMaxLat.</em></li> <li><em>The coordinates are absolute in the range of [-180, +180] of Longitude and [-90, +90] of Latitude. All coordinates are expressed in <strong>cylindrical projection system</strong>.</em></li> <li><em>Diameters (km)</em></li> </ul>
Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs
<p>These are DWC text files, fasta files, excel files, and Newick tree files associated with scoring the Platygastroidea BOLD intercontinental and island BIN dataset. They are referenced in the paper, "Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs".</p>
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.