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Dataset results
11 results for “metadata records”
Ethnic and Migrant Minorities (EMM) Survey Registry: All metadata records
<p>The <a href="https://ethmigsurveydatahub.eu/emmregistry/">Ethnic and Migrant Minorities (EMM) Survey Registry</a> is a free online tool that allows users to search for and learn about existing quantitative surveys undertaken with EMM (sub)populations conducted in 34 European countries, from 2000 onwards, through compiled survey-level metadata.</p> <p>The first version was produced by a team led by CEE (Sciences Po, CNRS) and jointly funded through the COST Action 16111 – ETHMIGSURVEYDATA (a network of more than 200 European researchers active in the ethnic and migration studies field), the Horizon 2020 infrastructure project SSHOC (within Task 9.2 on Ethnic and Migration Studies, within Work Package 9 on Data Communities) and the project FAIRETHMIGQUANT (an Open Science project funded by the French Agence Nationale de la Recherche, ANR).</p> <p>This specific record includes the metadata for 2,120 survey records as .dta, .sav and .csv files published on the Registry, as of 31.07.2025.</p>
Datasets from Approximate equality of character strings and its application to record linkage in metadata of scientific publications thesis
<p>The datasets were produced in my thesis project. The thesis (in Czech language) explores the application of approximate string matching in scientific publication record linkage process. An introduction to record matching along with five commonly used metrics for string distance (Levenshtein, Jaro, Jaro-Winkler, Cosine distances and Jaccard coefficient) are provided. These metrics are applied on publication metadata from V3S current research information system of the Czech Technical University in Prague. Based on the findings, optimal thresholds in the F1, F2 and F3-measures are determined for each metric.</p> <p>Thesis citation:<br> DOBIÁŠOVSKÝ, Jan. <em>Approximate equality of character strings and its application to record linkage in metadata of scientific publications</em> [online]. Praha, 2020 [cit. 2020-05-04]. Masters thesis. Charles University. Faculty of Arts. Institute of Information Studies and Librarianship.</p> <p> </p>
Zenodo Public Metadata Records until 17 January 2017
<p>This dataset contains metadata of all publicly available records on Zenodo (n=142,117 data records), downloaded on 17 January 2017. The data was retrieved via the Zenodo OAI-PMH interface using the R package oai (Chamberlain & Bojanowski, 2016).</p> <p>The data is provided in two formats:</p> <ol> <li>The original XML in the format OAI DataCite v3, see <em> zenodo-all-metadata-records_oai-datacite3_2017-01-17.xml</em></li> <li>Converted to a tab-separated file, see <em>zenodo-all-metadata-records_2017-01-17.tsv</em></li> </ol>
Adult germ free and specific pathogen free plethysmography recordings and metadata
<p>Included in this dataset are the original LabChart recordings used to study the effects of gut dysbiosis (germ-free vs. specific pathogen-free) on respiratory and metabolic outcomes in adult mice. Also included are settings files for running SASSI in Breathe Easy and the metadata file associated with these recordings. STAGG settings files are not included as they differ by figure, but they are available upon request to the corresponding author.</p>
Neonate germ free and specific pathogen free plethysmography recordings and metadata files
<p>This repository contains recordings of neonate mice during our autoresuscitation assay. Also included is a metadata sheet with additional information about the mice and settings to be used with out accompanying software for analysis.</p>
Zenodo Open Metadata snapshot - Training dataset for records and communities classifier building
<p>This dataset contains Zenodo's published open access records and communities metadata, including entries marked by the Zenodo staff as spam and deleted.</p> <p>The datasets are gzipped compressed JSON-lines files, where each line is a JSON object representation of a Zenodo record or community.</p> <p><strong>Records dataset</strong></p> <p>Filename:<strong> </strong>zenodo_open_metadata_{ date of export }.jsonl.gz</p> <p>Each object contains the terms: <em>part_of, thesis, description, doi, meeting, imprint, references, recid, alternate_identifiers, resource_type, journal, related_identifiers, title, subjects, notes, creators, communities, access_right, keywords, contributors, publication_date</em></p> <p>which correspond to the fields with the same name available in Zenodo's record JSON Schema at <a href="https://zenodo.org/schemas/records/record-v1.0.0.json">https://zenodo.org/schemas/records/record-v1.0.0.json</a>.</p> <p>In addition, some terms have been altered:</p> <ul> <li>The term <strong>files</strong> contains a list of dictionaries containing <strong>filetype</strong>, <strong>size,</strong> and <strong>filename </strong>only.</li> <li>The term <strong>license</strong> contains a short Zenodo ID of the license (e.g. "cc-by").</li> </ul> <p><strong>Communities dataset</strong></p> <p>Filename:<strong> </strong>zenodo_community_metadata_{ date of export }.jsonl.gz</p> <p>Each object contains the terms: <em>id, title, description, curation_policy, page </em></p> <p>which correspond to the fields with the same name available in Zenodo's community creation form.</p> <p><strong>Notes for all datasets</strong></p> <p>For each object the term <strong>spam</strong> contains a boolean value, determining whether a given record/community was marked as spam content by Zenodo staff.</p> <p>Some values for the top-level terms, which were missing in the metadata may contain a <strong>null</strong> value.</p> <p>A smaller uncompressed random sample of 200 JSON lines is also included for each dataset to test and get familiar with the format without having to download the entire dataset.</p>
Kadamba records metadata (version 1.0)
<p>Kadamba records metadata (version 1.0)</p>
Zenodo metadata JSON records as of 2019-09-16
<p>This preliminary dataset contains the <code>application/vnd.zenodo.v1+json</code> JSON records of <a href="http://zenodo.org/">Zenodo</a> deposits as retrieved on 2019-09-16.</p> <p><strong>Files</strong></p> <ul> <li><code>zenodo-records-json-2019-09-16.tar.xz</code> <em>Zenodo JSON records</em><br> XZ-compressed tar archive of individual JSON records as retrieved from Zenodo. Filenames reflects record, e.g. <code>1310621.json</code> was retrieved from <a href="https://zenodo.org/api/records/1310621">https://zenodo.org/api/records/1310621</a> using content-negotiation for <code>application/vnd.zenodo.v1+json</code></li> <li><code>zenodo-records-json-2019-09-16-filtered.jsonseq.xz</code> <em>Concatinated Zenodo JSON records</em><br> XZ-compressed <a href="https://tools.ietf.org/html/rfc7464">RFC7464</a> JSON Sequence stream, readable by <a href="https://stedolan.github.io/jq/manual/v1.5/">jq</a>. Concatination of Zenodo JSON records. Order not significant.</li> <li><code>zenodo-records.sh</code> <em>Retrieve Zenodo JSON records</em><br> A retrospectively created Bash shell script that shows the commands used to retrieve JSON files and concationate to jsonseq.</li> <li><code>ro-crate-metadata.jsonld</code> <em><a href="https://w3id.org/ro/crate/0.2">RO-Crate 0.2</a> structured metadata</em></li> <li><code>ro-crate-preview.html</code> <em>Browser rendering of RO-Crate structured metadata</em></li> <li><code>README.md</code> <em>This dataset description</em></li> </ul> <p><strong>License</strong></p> <p>This dataset is provided under the license <a href="https://www.apache.org/licenses/LICENSE-2.0">Apache License, version 2.0</a>:</p> <p>Copyright 2019 The University of Manchester</p> <p>Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at</p> <pre><code>http://www.apache.org/licenses/LICENSE-2.0 </code></pre> <p>Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.</p> <p><strong>CC0 for Zenodo metadata</strong></p> <p>The <a href="https://about.zenodo.org/terms/">Zenodo metadata</a> in <code>zenodo-records-json-2019-09-16.tar.xz</code> is reused under the terms of <a href="https://creativecommons.org/publicdomain/zero/1.0/">https://creativecommons.org/publicdomain/zero/1.0/</a></p> <p><strong>Reproducibility</strong></p> <p>To retrieve the Zenodo JSON it was deemed necessary to use the <a href="https://github.com/zenodo/zenodo/issues/1426#issuecomment-369171411">undocumented</a> parts of <a href="https://developers.zenodo.org/">Zenodo API</a>.</p> <p>From the <a href="https://github.com/zenodo/zenodo/blob/deploy-qa-2019-09-19-0735/zenodo/config.py#L814">Zenodo source code</a> it was identified that the REST template <code>https://zenodo.org/api/records/{pid_value}</code> could be used with <code>pid_value</code> as the numeric part from the OAI-PMH identifier, e.g. for <code>oai:zenodo.org:1310621</code> the Zenodo JSON can be retrieved at <a href="https://zenodo.org/api/records/1310621">https://zenodo.org/api/records/1310621</a>.</p> <p>The JSON API supports content negotiation, the content-types supported as of 2019-09-20 include:</p> <ul> <li><code>application/vnd.zenodo.v1+json</code> giving the Zenodo record in Zenodo's <a href="https://github.com/zenodo/zenodo/blob/deploy-qa-2019-09-19-0735/zenodo/modules/records/serializers/schemas/json.py#L267">internal JSON schema</a> (v1)</li> <li><code>application/ld+json</code> giving <a href="https://www.w3.org/TR/2014/REC-json-ld-20140116/">JSON-LD</a> Linked Data using the <a href="http://schema.org/">http://schema.org/</a> vocabulary</li> <li><code>application/x-datacite-v41+xml</code> giving <a href="https://doi.org/10.5438/0012">DataCite v4 XML</a></li> <li><code>application/marcxml+xml</code> giving <a href="http://www.loc.gov/standards/marcxml/">MARC</a> 21 XML</li> </ul> <p>Using these (currently) undocumented parts of the Zenodo API thus avoids the need for HTML scraping while also giving individual complete records that are suitable to redistribute as records in a filtered dataset.</p> <p>This preliminary exploration will be adapted into the reproducible CWL workflow, for now included as a Bash script <code>zenodo-records.sh</code></p> <p>Execution time was about 3 days from a server at the University of Manchester network on a single 1 GBps network link. The script does:</p> <ul> <li>Retrieve each of the first 3.5 million Zenodo records<br> as Zenodo JSON by iterating over possible numeric IDs (the maximum ID <code>3450000</code> was estimated from <a href="https://zenodo.org/">"Recent uploads"</a>)</li> <li>Filter list to exclude records that are not found, moved or deleted. The presence of the key <code>conceptrecid</code> is used as marker.</li> <li>Use <a href="https://stedolan.github.io/jq/manual/v1.5/">jq</a> to ensure the JSON is on a single line</li> <li>Join the JSON files using the ASCII Record Separator (RS, <code>0x1e</code>) to make a <code>application/json-seq</code> <a href="https://doi.org/10.17487/RFC7464">JSON text sequence</a> stream</li> <li>Save the JSON stream as a single compressed file using <code>xz</code></li> </ul>
test files: Test2 of REP records and metadata
For testing of harvesting code<p></p>
Plasma-MDS and DCAT metadata records for INPTDAT nodes 43 and 98
<p>This dataset contains the the JSON representation of Plasma-MDS version 0.9.1 as well as archival copies of the Plasma-MDS and DCAT metadata records for the datasets "Correlation of helicality and rotation frequency of filaments in the ntAPPJ" (node 43) and "Non-thermal plasma in contact with water: The origin of species" (node98) published in INPTDAT at https://www.inptdat.de.</p>
Supporting Metadata - Data recorded over Calcutta and Siliguri
<p>This data contains supporting metadata for a research article.</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.