cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4wfuy2
title: Occurrence Download

description: A dataset containing 84379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Farfantepenaeus aztecus (Ives, 1891))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 84379 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010141-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsfweh
title: Occurrence Download

description: A dataset containing 7569 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Enallagma boreale Selys, 1875"
 ]
}

 The dataset includes 7569 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010161-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qx8s3y
title: Occurrence Download

description: A dataset containing 13165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Egretta garzetta (Linnaeus, 1766))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is one of (China, Chinese Taipei)",
 "Geometry POLYGON((118 27,123 27,123 31.25,118 31.25,118 27))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13165 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010162-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzkj3m
title: Occurrence Download

description: A dataset containing 1861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptomyzus ribis (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1861 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010163-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28582940
title: Survey Responses

description: Our research introduces the Power Outage – Risk integrated Social Vulnerability Index (PO-RSVI) to assess the social vulnerability of small residential communities to prolonged power outages, incorporating dimensions of outage susceptibility, coping capacity, and accessibility, while exploring its relationship with willingness to pay for emergency power supplies.
DOI: 10.15468/dl.p85959
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chelicorophium robustum (G.O.Sars, 1895))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 331 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010164-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jxmrv
title: CCDC 2351218: Experimental Crystal Structure Determination

description: Related Article: Bin Qing, Zhuang Yang, Zhenwei Wu, Zichun Zhang, Yuqiao Zhou, Xinlong Yan, Yangbin Liu, Xiaoming Feng|2025|J.Am.Chem.Soc.|147|7729|doi:10.1021/jacs.4c17425
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.cc2k9502
title: CCDC 2362293: Experimental Crystal Structure Determination

description: Related Article: Xue-Bin Yan, Rui Zhao, Yu-Hang Miao, Meng-Meng Liu, Guang-Jian Mei|2025|Org.Lett.|27|2146|doi:10.1021/acs.orglett.5c00198
description: Related Article: rui zhao|2024|CSD Communication|||
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.cc2kfkf0
title: CCDC 2366522: Experimental Crystal Structure Determination

description: Related Article: Yumei  Wang|2024|CSD Communication|||
description: Related Article: Yu Zhong, Yuanhao He, Yanfei Hu, Xingming Yan, Ruyi Zhang, Jumei Yi, Fen Zhao, Baomin Fan|2025|Org.Lett.|27|2180|doi:10.1021/acs.orglett.5c00206
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.cc2lm9dy
title: CCDC 2401830: Experimental Crystal Structure Determination

description: Related Article: Xia Wu, Ming Cui, Kun Wu, Jun Guo, Tianyu Liu, Dongyi Liu, Zekun Li, Puxin Weng, Ri-Qin Xia, Xiao Xiong, Yong-Liang Huang, Dan Li, Jian He|2025|J.Am.Chem.Soc.|147|8350|doi:10.1021/jacs.4c16021
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: 10.15468/dl.qghty7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chelicorophium sowinskyi (Martynov, 1924))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010165-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2avxt
title: Occurrence Download

description: A dataset containing 127524 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sympetrum danae (Sulzer, 1776)"
 ]
}

 The dataset includes 127524 records from 468 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010148-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/jnezcj
title: FIG 2B - Single-cell RNA-seq FASTQ files - Control Mouse Lung

description: Control mouse lung samples were collected from GFP-Tie2 transgenic mice. Endothelial cells were isolated based on Tie2-driven GFP expression and subjected to single-cell RNA sequencing. The dataset contains raw FASTQ files that can be used to replicate the study and enable downstream transcriptomic analyses. (Fig2b)
DOI: 10.15468/dl.45yx5k
title: Occurrence Download

description: A dataset containing 1337517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Charadriiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 -30,150 -30,150 0,120 0,120 -30))"
 ]
}

 The dataset includes 1337517 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059442-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2k02j6
title: CCDC 2353567: Experimental Crystal Structure Determination

description: Related Article: Cale B. Gaster, Daniel E. Felton, Teagan F. M. Sweet, Allen G. Oliver, Arianna Latuda, Jada Rogers, Peter C. Burns|2024|Inorg.Chem.|63|17502|doi:10.1021/acs.inorgchem.4c01903
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: 10.60603/d37p4r
title: L2 Voter History and Demographic Dataset

description: The L2 Voter and Demographic data is current as of May 31 2022. The data includes demographic and voter history tables for all 50 states and the District of Columbia. The dataset is built from publicly available government records about voter registration and election participation. These records indicate whether a person voted in an election or not, but they do not record whom that person voted for. Voter registration and election participation data are augmented by demographic information from outside data sources.
description: To create this file, L2 processes registered voter data on an ongoing basis for all 50 states and the District of Columbia, with refreshes of the underlying state voter data typically at least every six months and refreshes of telephone numbers and National Change of Address processing approximately every 30 to 60 days. These data are standardized and enhanced with propriety commercial data and modeling codes and consist of approximately 185,000,000 records nationwide.
description: For each state, there are two main tables: demographic and voter history. The demographic and voter tables can be joined on the 'LALVOTERID' variable. One can also use the 'LALVOTERID' variable to link the L2 Voter and Demographic data with the L2 Commercial data.



The 'LALVOTERID' variable can also be used to validate the state. For example, let's look at the 'LALVOTERID' *LALCA123456789*. The characters in the fourth and fifth positions of this identifier are 'CA' (California). The second way to validate the state is by using the RESIDENCE\_ADDRESSES\_STATE, which should have a value of 'CA' (California).



The date appended to each table name represents when the data was last updated.







The demographic files use 691 consistent variables. For more information about these variables, see ***2021-11-03-L2-Voter-Demographic-File-Layout.xlsx***.



The voter history files have different variables depending on the state. The ***2022-05-31-L2-Voter-Data-Dictionaries.tar.gz ***file expands into a folder with .csv data dictionaries for each state's demographic and voter files. While the demographic file data dictionaries should complement the 2021-11-03-L2-Voter-Demographic-File-Layout.xlsx file, the voter file data dictionaries will be unique to each state.







**JOINED TABLES: **

Additionally, each state has a "COMPLETE-VM1" table which has demographics and vote history from multiple years stacked on top of each other. There is an additional column in these tables called "L2-filename" which has the L2 filename from which the data were drawn, and within this file name is the date of the voter file snapshot.
DOI: 10.15468/dl.rv6639
title: Occurrence Download

description: A dataset containing 856 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Passiflora mollissima (Kunth) L.H.Bailey"
 ]
}

 The dataset includes 856 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021092-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1100354.10fu
title: SH1100354.10FU

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/sh1100355.10fu
title: SH1100355.10FU

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/sh1100356.10fu
title: SH1100356.10FU

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/sh1100360.10fu
title: SH1100360.10FU

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/sh1100361.10fu
title: SH1100361.10FU

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/sh1100362.10fu
title: SH1100362.10FU

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/sh1100364.10fu
title: SH1100364.10FU

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/sh1100365.10fu
title: SH1100365.10FU

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/sh1100368.10fu
title: SH1100368.10FU

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/sh1100369.10fu
title: SH1100369.10FU

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.