cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/v6h1ub
title: Replication Data for: "The Curious Case of the Migrating Seat: Understanding the Role of Senate Norms in Confirming Judges on the U.S. Courts of Appeals" (Political Research Quarterly)

description: R code and data to replicate analyses in "The Curious Case of the Migrating Seat: Understanding the Role of Senate Norms in Confirming Judges on the U.S. Courts of Appeals"

The confirmation of lower federal court judges heavily depends on senatorial courtesy and the blue slip. Prior work largely ignores state representation---a norm whereby each judgeship on the U.S. Courts of Appeals is assigned to a particular state in the Circuit. Given this norm, senators expect that the president will nominate someone from the same state as the departing circuit judge. However, presidents fail to follow this norm nearly a quarter of the time. This research analyzes how ignoring state representation increases the level of conflict over a nominee. Our results reveal that (a) the probability of a nominee's Senate confirmation and (b) the efficiency with which the Senate takes final action both decrease as the ideological distance between the previous home state senators and the president grows. Additionally, if the new home state senators reveal public opposition to a nomination, the likelihood of rejection and time to final action increase.

 (forthcoming in Political Research Quarterly).
DOI: 10.15468/dl.d3ec5x
title: Occurrence Download

description: A dataset containing 2364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sanguinaria canadensis",
 "Year 1899-2002"
 ]
}

 The dataset includes 2364 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030770-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wgmp2
title: Occurrence Download

description: A dataset containing 503714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sciurus carolinensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 503714 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030738-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bywsqq
title: Occurrence Download

description: A dataset containing 28629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dicentra cucullaria",
 "Year 1899-2025"
 ]
}

 The dataset includes 28629 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030769-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hcu9u
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andira inermis",
 "Country is Chad",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030771-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmsk2r
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andira inermis",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030772-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6w8px
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andira inermis",
 "Country is Singapore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 118 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030773-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jww34
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pellorneum nigrocapitatum",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 294 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030774-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/25123
title: Chandra X-ray Observatory ObsId 25123

description: Young Massive Stars and Cores in the Trifid Nebula Center
DOI: 10.5517/ccdc.csd.cc2ng45g
title: CCDC 2456445: Experimental Crystal Structure Determination

description: Related Article: Jin-Xia Yang, Xi Liang, Mei-Hua Xiong, Xiao-Qian Lin, Xin Zhang, Qi-Pu Lin, Yuan-Gen Yao|2026|J.Mol.Struct.|1349|143961|doi:10.1016/j.molstruc.2025.143961
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ng46h
title: CCDC 2456446: Experimental Crystal Structure Determination

description: Related Article: Jin-Xia Yang, Xi Liang, Mei-Hua Xiong, Xiao-Qian Lin, Xin Zhang, Qi-Pu Lin, Yuan-Gen Yao|2026|J.Mol.Struct.|1349|143961|doi:10.1016/j.molstruc.2025.143961
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25574/25796
title: Chandra X-ray Observatory ObsId 25796

description: Young Massive Stars and Cores in the Trifid Nebula Center
DOI: 10.5517/ccdc.csd.cc2nqmqr
title: CCDC 2464615: Experimental Crystal Structure Determination

description: Related Article: Yu-Jing Zhu, Yu-Ming Cui, Ning-Hao Wang, Jing Sun, Xue-Song Wu, Xingqi Han, Xinlong Wang, Zhong-Min Su|2025|Inorg.Chem.|64|19113|doi:10.1021/acs.inorgchem.5c03641
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nqn8b
title: CCDC 2464632: Experimental Crystal Structure Determination

description: Related Article: Yu-Jing Zhu, Yu-Ming Cui, Ning-Hao Wang, Jing Sun, Xue-Song Wu, Xingqi Han, Xinlong Wang, Zhong-Min Su|2025|Inorg.Chem.|64|19113|doi:10.1021/acs.inorgchem.5c03641
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25574/25799
title: Chandra X-ray Observatory ObsId 25799

description: Young Massive Stars and Cores in the Trifid Nebula Center
DOI: 10.25574/26078
title: Chandra X-ray Observatory ObsId 26078

description: Measure the FeK edge Structure in GX 340+0
DOI: 10.25574/26107
title: Chandra X-ray Observatory ObsId 26107

description: Measure the FeK edge Structure in GX 340+0
DOI: 10.15468/dl.j9dym7
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Navicula pygmaea",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030776-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbx8e7
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation)",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Passiflora complanata"
 ]
}

 The dataset includes 69 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030775-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/27420
title: Chandra X-ray Observatory ObsId 27420

description: Investigating the plasma properties of Big Dipper, 4U 1624-490
DOI: 10.15468/dl.pqv6vd
title: Occurrence Download

description: A dataset containing 634000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fragaria vesca",
 "BasisOfRecord is one of (Specimen, Human Observation, Occurrence evidence, Material sample, Living Specimen)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 634000 records from 2464 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030698-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e234263
title: mHealth data file

description: mHealth platform service review text and numerical ratings
DOI: 10.15468/dl.6wf7n8
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "OccurrenceStatus is Present",
 "TaxonKey is Thylamys pallidior (Thomas, 1902)"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069440-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e234263v1
title: mHealth data file

description: mHealth platform service review text and numerical ratings
DOI: 10.15468/dl.rvq8t3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.650227 -32.899241, 148.650227 -32.91047, 148.638998 -32.91047, 148.638998 -32.912716, 148.643489 -32.912716, 148.643489 -32.917208, 148.650227 -32.917208, 148.650227 -32.919454, 148.652472 -32.919454, 148.652472 -32.917208, 148.656964 -32.917208, 148.656964 -32.905979, 148.652472 -32.905979, 148.652472 -32.899241, 148.650227 -32.899241))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067903-240626123714530/datasets/export for details.
DOI: 10.15156/bio/sh0190411.10fu
title: SH0190411.10FU

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/sh0190412.10fu
title: SH0190412.10FU

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/sh0190413.10fu
title: SH0190413.10FU

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/sh0190414.10fu
title: SH0190414.10FU

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/sh0190415.10fu
title: SH0190415.10FU

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/sh0190416.10fu
title: SH0190416.10FU

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/sh0190417.10fu
title: SH0190417.10FU

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/sh0190418.10fu
title: SH0190418.10FU

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/sh0190419.10fu
title: SH0190419.10FU

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/sh0190420.10fu
title: SH0190420.10FU

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.