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150
datasets available to search
ShareScore release 0.9.0
Dataset results
150 results for “collection database”
[OBSOLETE] OCTOPUS Database v.2.2: The CRN Denudation XXL (large basins) collection [2024]
<p><strong>Database of published cosmogenic Be-10 and Al-26 concentrations from modern river sediment and basin-averaged denudation rates inferred from these data.</strong> Ancillary spatial data includes: sample site location (point), basin outline (polygon). The vector spatial data uses the WGS84/Pseudo-Mercator (EPSG: 3857) projected coordinate reference system.</p>
Collected weakness description retrieved from the CWE database.
<p>Meta data of 464 weaknesses introduced in the requirements, architecture and design, and policy phases retrieved from the CWE database.</p>
WageIndicator Collective Agreements Database Dataset - BARCOVID update
<p>This dataset is part of the wider BARCOVID project, which studies the impact of the COVID-19 pandemic on collective bargaining in Europe. This file is an updated version for a selected number of countries of the WageIndicator Collective Agreements Database (Ceccon and Medas, 2022). The database, maintained by the WageIndicator Foundation (WIF), offers a comprehensive collection of annotated CBAs from around the globe. As of April 2023, it contains 2300+ CBAs in 27 different languages, originating from 67 countries. The database provides a unique opportunity to closely examine and compare agreements across countries, industries, and bargaining levelsFor the BARCOVID project, the CBA Database was expanded with new agreements for several countries. These agreements are (often) renewals of agreements that were already in the database, allowing, before-after comparisons during the COVID19 pandemic. The dataset contains information Austria, Czech Republic, Estonia, France, Hungary, Italy, Netherlands, Poland, Slovakia, Spain and Turkey.</p> <p>For more detailed information on the coding scheme and variables used in the annotation process, the WageIndicator Collective Agreements Database Codebook (Ceccon and Medas, 2022) can be consulted as a reference - see related identifiers. </p>
Regional databases demonstrate macroecological patterns less clearly than systematically collected field data
Open the record for dataset details and reuse information.
Daiber Collection Database of Arabic Manuscripts.
<p><a href="http://ricasdb.ioc.u-tokyo.ac.jp/daiber/db_index_eng.html">Daiber Collection Database of Arabic Manuscripts in the Institute of Oriental Culture, University of Tokyo</a>. </p>
H2020 project CLAIM collected database
<p>Data collected from various sources during CLAIM project. Datasets (13 *.csv files) from Mediterranean Sea and Baltic Sea: micro- and macro-plastic, beach litter, seabed litter, CLAIM filtering device etc.</p>
[OBSOLETE] OCTOPUS Database v.2: The SahulArch TL collection
<p>Database of published thermoluminescence (TL) ages for archaeological records from Sahul. Sample locations were obfuscated within a radius of 25 km and spatial data includes sample locations as circular polygons. The data uses the WGS84/Pseudo-Mercator (EPSG: 3857) projected coordinate reference system. Sample metadata is comprehensive and includes bibliographic, contextual, and sample preparation and measurement related information.</p>
[OBSOLETE] OCTOPUS Database v.2: The SahulArch Radiocarbon collection
<p>Database of published radiocarbon ages for archaeological records from Sahul. Sample locations were obfuscated within a radius of 25 km and spatial data includes sample locations as circular polygons. The data uses the WGS84/Pseudo-Mercator (EPSG: 3857) projected coordinate reference system. Sample metadata is comprehensive and includes bibliographic, contextual, and sample preparation and measurement related information.</p>
[OBSOLETE] OCTOPUS Database v.2: The SahulArch OSL collection
<p>Database of published optically stimulated luminescence (OSL) ages for archaeological records from Sahul. Sample locations were obfuscated within a radius of 25 km and spatial data includes sample locations as circular polygons. The data uses the WGS84/Pseudo-Mercator (EPSG: 3857) projected coordinate reference system. Sample metadata is comprehensive and includes bibliographic, contextual, and sample preparation and measurement related information.</p>
FIGURE 78 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 78. Holotype of Mesonauta egregius ICN-MHN 1686 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 77 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 77. Holotype of Cichlasoma microlepis ICN-MHN 95 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 75 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 75. Paratype of Opistognathus fenmutis ICN-MHN 2486 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 74 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 74. Holotype of Halichoeres malpelo ICN-MHN 1784 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 73 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 73. Holotype of Lepidonectes bimaculatus ICN-MHN 1788 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 71 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 71. Paratype of Rivulus stellifer ICN-MHN 700 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 70 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 70. Paratype of Rivulus pacificus ICN-MHN 4151 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 72 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 72. Holotype of Axoclinus rubinoffi ICN-MHN1786 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 76 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 76. Holotype of Biotoecus dicentrarchus ICN-MHN 1400 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 68 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 68. Paratype of Cirrhitichthys coraiicola ICN-MHN 1083 (scale bar = 1 cm). Photo by Jorge García Melo.
FIGURE 69 in Historical review, catalog of type specimens and online database of the ichthyology collection of the Instituto de Ciencias Naturales of the Universidad Nacional de Colombia (ICN-MHN)
FIGURE 69. Paratype of Pterolebias hoignei ICN-MHN 701 (scale bar = 1 cm). Photo by Jorge García Melo.
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
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DANDI Archive for NWB datasets
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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.