cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pcjmj2
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "StateProvince is one of (Arequipa, Ica Department, Apurimac, Ayacucho, Puno, Moquegua)",
 "TaxonKey is Tyto alba (Scopoli, 1769)",
 "Year 2001-2024"
 ]
}

 The dataset includes 119 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017066-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z49xvj
title: Occurrence Download

description: A dataset containing 119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "StateProvince is one of (Arequipa, Ica Department, Apurimac, Ayacucho, Puno, Moquegua)",
 "TaxonKey is Muscisaxicola cinereus Philippi & Landbeck, 1864",
 "Year 2001-2024"
 ]
}

 The dataset includes 119 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017067-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5w8p4y
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Botswana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera leo (Linnaeus, 1758)",
 "Year 2008-2010"
 ]
}

 The dataset includes 37 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017070-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7t9qnu
title: Occurrence Download

description: A dataset containing 14700 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is cdef28b1-db4e-4c58-aa71-3c5238c2d0b5"
 ]
}

 The dataset includes 14700 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017069-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngve23
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "StateProvince is one of (Arequipa, Ica Department, Apurimac, Ayacucho, Puno, Moquegua)",
 "TaxonKey is Bolborhynchus orbygnesius (Souance, 1856)",
 "Year 2001-2024"
 ]
}

 The dataset includes 56 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017072-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvtqnw
title: Occurrence Download

description: A dataset containing 8153 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arnoglossus laterna (Walbaum, 1792)"
 ]
}

 The dataset includes 8153 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017071-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tfgjnh
title: Occurrence Download

description: A dataset containing 2325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Betula pendula Roth)",
 "Country is Ukraine"
 ]
}

 The dataset includes 2325 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017074-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vyb2w
title: Occurrence Download

description: A dataset containing 261593 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "StateProvince is one of (Arequipa, Ica Department, Apurimac, Ayacucho, Puno, Moquegua)",
 "Year 2001-2024"
 ]
}

 The dataset includes 261593 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017061-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zcxt4
title: Occurrence Download

description: A dataset containing 649 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arnoglossus thori Kyle, 1913"
 ]
}

 The dataset includes 649 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017076-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7h8g2m
title: Occurrence Download

description: A dataset containing 83801 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canis latrans Say, 1823"
 ]
}

 The dataset includes 83801 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017075-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9utkyq
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.73662 6.05654,-73.73505 6.02848,-73.71311 6.02283,-73.70057 6.03374,-73.69841 6.04952,-73.71409 6.05654,-73.73662 6.05654))",
 "TaxonKey is Aves",
 "Year 2014-2024"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017077-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbpxgw
title: Occurrence Download

description: A dataset containing 2325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Betula pendula Roth)",
 "Country is Ukraine"
 ]
}

 The dataset includes 2325 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017078-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/cjk5-gf33
title: WRIVA Public Data

description: The IARPA WRIVA program aims to develop software systems that can create photorealistic, navigable 3D site models using a highly limited corpus of imagery, to include ground level imagery, surveillance height imagery, airborne altitude imagery, and satellite imagery. Additionally, where imagery lacks metadata indicating geolocation, information about camera parameters, or is corrupted by artifacts, WRIVA seeks to detect and correct these factors to incorporate the imagery in site-modelling and other downstream image processing and analysis algorithms. The Johns Hopkins University Applied Physics Laboratory and the MIT Lincoln Laboratory have collected, calibrated, and curated data to support the WRIVA program. IARPA is making some of this data publicly available to enable reproducible public research.
DOI: 10.22003/xfel.eu-data-008276-00
title: R&D Methodology delivery for Very Hard X-ray Talbot
DOI: 10.22003/xfel.eu-data-008656-00
title: Imprint studies of the FEL focus with bendable mirrors
DOI: 10.3886/icpsr24070.v3
title: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 1998
title: Version 3

description: These data contain records of criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 1998. These data can be linked to the primary analysis file using the unique identifier variable SEQ_NUM. It is estimated that over 90 percent of felony defendants in the federal criminal justice system are sentenced pursuant to the SRA of 1984. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. The Standardized Research Data File consists of variables from the Monitoring Department's database, which is limited to those defendants whose records have been furnished to the USSC by United States district courts and United States magistrates, as well as variables created by the OPA specifically for research purposes. The data include variables from the Judgement and Conviction (J and C) order submitted by the court, background and guideline information collected from the Presentencing Report (PSR), and the report on sentencing hearing in the Statement of Reasons (SOR). These data contain detailed information such as the guideline base offense level, offense level adjustments, criminal history, departure status, statement of reasons given for departure, and basic demographic information. These data are the primary analysis file and include only statute, guideline computation, and adjustment variables for the most serious offense of conviction. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: 
DS1: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 1998
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 1998.
DOI: 10.60503/d3/9uv5hb
title: Thomson/Refinitiv

description: Refinitiv, an LSEG (London Stock Exchange Group) business, is powering participants across the global financial marketplace by providing information, insights, and technology that enable customers to execute critical investing, trading and risk decisions with confidence. See notes for data available in Refinitiv. Please view WRDS data terms of service prior to use. To learn more about WRDS at UC Berkeley, visit the Wharton Research Data Services library guide. Visit Wharton Research Data Services to create a login and use the data.
DOI: 10.15468/dl.we5q3t
title: Occurrence Download

description: A dataset containing 38913 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Megaptera novaeangliae (Borowski, 1781)",
 "HasCoordinate is True",
 "Year is 2023"
 ]
}

 The dataset includes 38913 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017082-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4w3sbt
title: Occurrence Download

description: A dataset listing the 4005911 species recorded in GBIF matching the query:
{ }

 The dataset's 4005911 records were derived from 68929 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017065-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4naqej
title: Occurrence Download

description: A dataset containing 607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "StateProvince is one of (Arequipa, Ica Department, Apurimac, Ayacucho, Puno)",
 "TaxonKey is one of (Anthus peruvianus Nicholson, 1878, Leptasthenura aegithaloides (Kittlitz, 1830))",
 "Year 2001-2024"
 ]
}

 The dataset includes 607 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017083-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.feypax
title: Occurrence Download

description: A dataset containing 507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "StateProvince is one of (Arequipa, Ica Department, Apurimac, Ayacucho, Puno, Moquegua)",
 "TaxonKey is one of (Glaucidium peruanum C.König, 1991, Tyto alba (Scopoli, 1769))",
 "Year 2001-2024"
 ]
}

 The dataset includes 507 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017084-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xgpqa8
title: Occurrence Download

description: A dataset containing 548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "StateProvince is one of (Arequipa, Ica Department, Apurimac, Ayacucho, Puno)",
 "TaxonKey is Anthus peruvianus Nicholson, 1878",
 "Year 2001-2024"
 ]
}

 The dataset includes 548 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017085-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wt5us
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "StateProvince is one of (Arequipa, Ica Department, Apurimac, Ayacucho, Puno, Moquegua)",
 "TaxonKey is Glaucidium peruanum C.König, 1991",
 "Year 2001-2024"
 ]
}

 The dataset includes 388 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017086-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0190041.10fu
title: SH0190041.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190042.10fu
title: SH0190042.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190043.10fu
title: SH0190043.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190044.10fu
title: SH0190044.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190045.10fu
title: SH0190045.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190046.10fu
title: SH0190046.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190047.10fu
title: SH0190047.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190048.10fu
title: SH0190048.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0190049.10fu
title: SH0190049.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.