cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dx73s4
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Placostegus crystallinus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038693-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebnb7x
title: Occurrence Download

description: A dataset listing the 6105 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.8.9_2",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 6105 records were derived from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038676-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/xclbwf
title: PAN-00110342 - coin/coin-related, bezetting, cent

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00110342&lt;/p&gt;
description: Modified: 2025-10-24T08:36:57+02:00
DOI: 10.15468/dl.6ygr9k
title: Occurrence Download

description: A dataset containing 1231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Salvia longispicata"
 ]
}

 The dataset includes 1231 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038695-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3v5ch
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myosorex eisentrauti",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038694-251120083545085/datasets/export for details.
DOI: 10.15468/dl.g2n4ad
title: Occurrence Download

description: A dataset containing 462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Salvia longistyla"
 ]
}

 The dataset includes 462 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038696-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c54j0bb0w
title: MassIVE MSV000100150 - GNPS - Corals Metabolomic Profile to Establish Coral Cell Culture time-series experiment
title: Samples from Pocillopora demicornis were collected by airbrushing, frozen, lyophilized and extracted with methanol-water (4:1). Untargeted LC-MS/MS acquisition was performed on a Vanquish Flex UHPLC system coupled to an Orbitrap Exploris 240 (Thermo Fisher Scientific, Bremen, Germany). Chromatographic separation was performed on a Kinetex 1.7 um 100 A pore size C18 reversed phase UHPLC column 150 x 2.1 mm (Phenomenex, Torrance, CA).
DOI: 10.15468/dl.63z2np
title: Occurrence Download

description: A dataset containing 13641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Cirsium horridulum"
 ]
}

 The dataset includes 13641 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038697-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21949/1404291
title: National Transportation Atlas Database (NTAD): DOT Regions - Federal Motor Carrier Safety Administration (FMCSA) Regions 2020-Present [dataset]
title: DOT Regions - Federal Motor Carrier Safety Administration (FMCSA) Regions 2020-Present [dataset]

description: The DOT Regions - Federal Motor Carrier Safety Administration (FMCSA) Regions 2020-Present dataset is from the Federal Motor Carrier Safety Administration (FMCSA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics’ (BTS's) National Transportation Atlas Database (NTAD). This dataset is displayed as polygons depicting the regions covered by the four FMCSA Service Centers. More information on the FMCSA Service Centers, and territories each covers, can be found at: https://www.fmcsa.dot.gov/mission/field-offices.
description: National Transportation Library (NTL) Curation Note: This dataset has been curated to CoreTrustSeal's curation level "A. Active Preservation". To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2025-11-25. If, in the future, you have trouble accessing this dataset, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
DOI: 10.21949/1403491
title: National Transportation Atlas Database (NTAD): DOT Regions - Federal Highway Administration (FHWA) Divisions 2023-Present [dataset]
title: DOT Regions - Federal Highway Administration (FHWA) Divisions 2023-Present [dataset]

description: The DOT Regions - Federal Highway Administration (FHWA) Divisions 2023-Present dataset is from the Federal Highway Administration (FHWA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics’ (BTS's) National Transportation Atlas Database (NTAD). This dataset depicts the areas covered by the three FHWA Federal Lands Division Offices. Each field division office is focused on the Federal Lands in their regions. More information on the FHWA Federal Lands Highway Division Offices, and territories each covers, can be found at https://highways.dot.gov/about/field-offices.
description: National Transportation Library (NTL) Curation Note: This dataset has been curated to CoreTrustSeal's curation level "A. Active Preservation". To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2025-11-25. If, in the future, you have trouble accessing this dataset, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
DOI: 10.21949/1403481
title: National Transportation Atlas Database (NTAD): DOT Regions - Federal Railroad Administration (FRA) Districts 2022-Present [dataset]
title: DOT Regions - Federal Railroad Administration (FRA) Districts 2022-Present [dataset]

description: The DOT Regions - Federal Railroad Administration (FRA) Districts 2022-Present dataset is from the Federal Railroad Administration (FRA), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics’ (BTS's) National Transportation Atlas Database (NTAD). District boundaries represent geographic divisions of safety disciplines. These are no longer used to represent administrative boundaries.
description: National Transportation Library (NTL) Curation Note: This dataset has been curated to CoreTrustSeal's curation level "A. Active Preservation". To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2025-11-25. If, in the future, you have trouble accessing this dataset, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
DOI: 10.21949/1403476
title: National Transportation Atlas Database (NTAD): DOT Regions - Federal Transit Administration (FTA) Regions 2022-Present [dataset]
title: DOT Regions - Federal Transit Administration (FTA) Regions 2022-Present [dataset]

description: The DOT Regions - Federal Transit Administration (FTA) Regions 2022-Present dataset is from the Federal Transit Administration (FTA), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics’ (BTS's) National Transportation Atlas Database (NTAD). The Federal Transit Administration (FTA) has 10 different regions across the United States. The regions cover all 50 states, the District of Columbia, and territories. Staff within the FTA regions provide support in cities/regions with greater transit activities. All these officials develop and manage grants. FTA also overseas safety measures.
description: National Transportation Library (NTL) Curation Note: This dataset has been curated to CoreTrustSeal's curation level "A. Active Preservation". To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2025-12-01. If, in the future, you have trouble accessing this dataset, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
DOI: 10.21949/1403475
title: National Transportation Atlas Database (NTAD): DOT Regions - Great Lakes St. Lawrence Seaway Development Corporation (GLS) Regions 2023-Present [dataset]
title: Great Lakes St. Lawrence Seaway Development Corporation (GLS) Regions 2023-Present [dataset]

description: The DOT Regions - Great Lakes St. Lawrence Seaway Development Corporation (GLS) Regions 2023-Present dataset is from the Great Lakes St. Lawrence Seaway Development Corporation Policy Headquarters (GLS), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics’ (BTS's) National Transportation Atlas Database (NTAD). The GLS Region layer containing polygon features the coastal frontage of the eight Great Lakes states along the five Great Lakes including along the St Mary’s River, the St Clair River, the Detroit River, and the St Lawrence River. This region is charged with ensuring the safe, secure, and reliable transit movement of vessel traffic daily into and out of the Seaway system as well as supporting trade development at ports and terminals throughout the system. The jurisdiction of GLS operational staff is limited to the two U.S. locks in Massena, New York as well as navigation on the St Lawrence River immediately to the East and West of those locks.  The GLS Trade Development’s direct jurisdiction extends from Massena, New York in the Eastern end of the system to the Minnesota ports of Duluth, Two Harbors, and Silver Bay on Lake Superior to the West and includes all Great Lakes ports/terminals in between.
description: National Transportation Library (NTL) Curation Note: This dataset has been curated to CoreTrustSeal's curation level "A. Active Preservation". To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2025-12-02. If, in the future, you have trouble accessing this dataset, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
DOI: 10.21949/1403471
title: National Transportation Atlas Database (NTAD): DOT Regions - Maritime Administration (MARAD) Gateways 2023-Present [dataset]
title: DOT Regions - Maritime Administration (MARAD) Gateways 2023-Present [dataset]

description: The DOT Regions - Maritime Administration (MARAD) Gateways 2023-Present dataset is from the U.S. Maritime Administration (MARAD), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics’ (BTS's) National Transportation Atlas Database (NTAD). This dataset depicts the geographical boundaries of MARAD's nine Gateway regions. MARAD offices located within each region provide critical marine transportation outreach activities at major U.S. gateway ports located on the West, East, and Gulf coasts, as well as on the inland river system and the Great Lakes. All gateway regions contain one office except the Inland Gateway Region which has two. See https://www.maritime.dot.gov/about-us/gateway-offices/gateway-offices for more information.
description: National Transportation Library (NTL) Curation Note: This dataset has been curated to CoreTrustSeal's curation level "A. Active Preservation". To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2025-12-03. If, in the future, you have trouble accessing this dataset, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
DOI: 10.21949/1403468
title: National Transportation Atlas Database (NTAD): DOT Regions - National Transportation Response and Recovery Program (NTRRP) Regions 2019-Present [dataset]
title: DOT Regions - National Transportation Response and Recovery Program (NTRRP) Regions 2019-Present [dataset]

description: The DOT Regions - National Transportation Response and Recovery Program (NTRRP) Regions 2019-Present dataset is from the Bureau of Transportation Statistics (BTS), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics’ (BTS's) National Transportation Atlas Database (NTAD). The USDOT Regions dataset contains the designated regions for each Operating Administration (OA) within the US Department of Transportation (USDOT). Included in the attribute table for each OA are the region name, region number, and office location, where applicable. There are no regions for the entirety of the USDOT.
description: National Transportation Library (NTL) Curation Note: This dataset has been curated to CoreTrustSeal's curation level "A. Active Preservation". To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2025-12-03. If, in the future, you have trouble accessing this dataset, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
DOI: 10.21949/1403467
title: National Transportation Atlas Database (NTAD): DOT Regions - National Highway Traffic Safety Administration (NHTSA) Regions 2023-Present [dataset]
title: DOT Regions - National Highway Traffic Safety Administration (NHTSA) Regions 2023-Present [dataset]

description: The DOT Regions - National Highway Traffic Safety Administration (NHTSA) Regions 2023-Present dataset is from the National Highway Traffic Safety Administration (NHTSA), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics’ (BTS's) National Transportation Atlas Database (NTAD). This dataset depicts NHTSA's Regional Operations and Program Delivery Office regional boundaries. It identifies which states and territories are associated with each region. NHTSA's regions help States use data to identify their highway safety challenges, evaluate safety programs and activities, and provide technical assistance to State program managers to support the implementation of impactful behavioral highway safety programs.
description: National Transportation Library (NTL) Curation Note: This dataset has been curated to CoreTrustSeal's curation level "A. Active Preservation". To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2025-12-03. If, in the future, you have trouble accessing this dataset, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
DOI: 10.15468/dl.da49pq
title: Occurrence Download

description: A dataset containing 486 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendroctonus terebrans"
 ]
}

 The dataset includes 486 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038699-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztn73t
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "GadmGid is PER.3_1",
 "TaxonKey is Poa"
 ]
}

 The dataset includes 30 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038700-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amty4t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Placostegus langerhansi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038701-251120083545085/datasets/export for details.
DOI: 10.17026/ar/a4mn4c
title: PAN-00165900 - terra sigillata bowl type Drag. 37 (CG)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00165900&lt;/p&gt;
description: Modified: 2025-10-13T14:43:28+02:00
DOI: 10.13140/rg.2.2.31265.06247
title: Laws exist, but silence does not
DOI: 10.15468/dl.shfk3m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myosorex rumpii",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038702-251120083545085/datasets/export for details.
DOI: 10.15468/dl.p945b6
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Cattleya elongata"
 ]
}

 The dataset includes 203 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038703-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azm6rs
title: Occurrence Download

description: A dataset containing 963592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 24.085278",
 "DecimalLatitude is less than or equal to 29.085278",
 "DecimalLongitude is greater than or equal to 120.0",
 "DecimalLongitude is less than or equal to 125.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 963592 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038667-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/c2fz7
title: Bank of Data – Patent Filings by Brazilian Universities: Motivations and Determinants of Co-Ownership, Funding, and Scientific Output (2020–2024)

description: This project provides the consolidated database of patent filings by Brazilian Higher Education Institutions (HEIs) for the period 2020–2024. The dataset includes reconciled institutional identifiers, standardized variables, and consistency-check columns that ensure full traceability across data sources.

In addition to the final consolidated dataset used in the published article, the repository also contains preliminary versions of the data, exploratory analyses, and SPSS outputs that were part of earlier stages of the research but were not included in the final publication. These materials are provided to strengthen methodological transparency and to document the analytical evolution of the study.

The repository includes the Python scripts used for automated extraction of RPI/INPI patent data and for key steps of data processing and filtering. These scripts allow full replication of the collection procedure, enhancing the reproducibility of the research. Intermediate tables generated before the final harmonization stage are also included to support verification of methodological choices.

Together, these resources ensure transparency, auditability, and replicability of the dataset and analytical procedures described in the article.
DOI: 10.17026/ar/fip7ya
title: PAN-00163612 - terra sigillata kom type Drag. 37 (EG)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00163612&lt;/p&gt;
description: Modified: 2025-10-23T09:33:34+02:00
DOI: 10.15468/dl.4x68xy
title: Occurrence Download

description: A dataset containing 1230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Placostegus tridentatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1230 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038704-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gq5r6z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myosorex sclateri",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038705-251120083545085/datasets/export for details.
DOI: 10.15468/dl.yxrym5
title: Occurrence Download

description: A dataset listing the 37019 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Gabon"
 ]
}

 The dataset's 37019 records were derived from 862 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038687-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39ar4q
title: Occurrence Download

description: A dataset containing 8061 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Cotoneaster tomentosus (Aiton) Lindl."
 ]
}

 The dataset includes 8061 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023645-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.