cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12554599
title: Dataset: Cross Country Healthcare, Inc. (CCRN) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.15468/dl.xaymma
title: Occurrence Download

description: A dataset containing 26263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is Vermont",
 "TaxonKey is Lepidoptera",
 "Year 2023-2024"
 ]
}

 The dataset includes 26263 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000824-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12554602
title: Dataset: Carbon Collective Short Duration Green Bond ETF (CCSB) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12554603
title: Dataset: Carbon Collective Short Duration Green Bond ETF (CCSB) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.25574/01434
title: Chandra X-ray Observatory ObsId 01434

description: ACIS CHIP RESPONSE TO A CONTINUUM SOURCE
DOI: 10.25574/01435
title: Chandra X-ray Observatory ObsId 01435

description: ACIS CHIP RESPONSE TO CAS A, JAN. 99
DOI: 10.5281/zenodo.12554604
title: Dataset: Consensus Cloud Solutions, Inc. (CCSI) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12554605
title: Dataset: Consensus Cloud Solutions, Inc. (CCSI) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.25574/01436
title: Chandra X-ray Observatory ObsId 01436

description: ACIS CHIP RESPONSE TO CAS A, JAN. 99
DOI: 10.25574/01438
title: Chandra X-ray Observatory ObsId 01438

description: ACIS CHIP RESPONSE TO CAS A, JAN. 99
DOI: 10.25574/01439
title: Chandra X-ray Observatory ObsId 01439

description: ACIS CHIP RESPONSE TO CAS A, JAN. 99
DOI: 10.5281/zenodo.12554606
title: Dataset: Carbon Collective Climate Solutions U.S. Equity ETF (CCSO) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12554607
title: Dataset: Carbon Collective Climate Solutions U.S. Equity ETF (CCSO) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.25574/01440
title: Chandra X-ray Observatory ObsId 01440

description: ACIS CHIP RESPONSE TO CAS A, JAN. 99
DOI: 10.15468/dl.sn9d5h
title: Occurrence Download

description: A dataset containing 3939 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sargocentron spiniferum (Forsskål, 1775)"
 ]
}

 The dataset includes 3939 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000826-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/01442
title: Chandra X-ray Observatory ObsId 01442

description: ACIS CHIP RESPONSE TO A CONTINUUM SOURCE
DOI: 10.25574/01443
title: Chandra X-ray Observatory ObsId 01443

description: ACIS CHIP RESPONSE TO A CONTINUUM SOURCE
DOI: 10.5281/zenodo.12554608
title: Dataset: CCSC Technology International Holdings Limited (CCTG) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12554609
title: Dataset: CCSC Technology International Holdings Limited (CCTG) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.25574/01446
title: Chandra X-ray Observatory ObsId 01446

description: ACIS CHIP RESPONSE TO CAS A, JAN. 99
DOI: 10.25574/01468
title: Chandra X-ray Observatory ObsId 01468
DOI: 10.25574/01469
title: Chandra X-ray Observatory ObsId 01469
DOI: 10.25574/01470
title: Chandra X-ray Observatory ObsId 01470
DOI: 10.5281/zenodo.12554610
title: Dataset: Cactus Acquisition Corp. 1 Limited (CCTS) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12554611
title: Dataset: Cactus Acquisition Corp. 1 Limited (CCTS) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.25574/01471
title: Chandra X-ray Observatory ObsId 01471
DOI: 10.25574/01472
title: Chandra X-ray Observatory ObsId 01472
DOI: 10.25574/01473
title: Chandra X-ray Observatory ObsId 01473
DOI: 10.5281/zenodo.12554612
title: Dataset: Cactus Acquisition Corp. 1 Limited (CCTSU) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12554613
title: Dataset: Cactus Acquisition Corp. 1 Limited (CCTSU) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.25574/01474
title: Chandra X-ray Observatory ObsId 01474
DOI: 10.25574/01475
title: Chandra X-ray Observatory ObsId 01475
DOI: 10.25574/01477
title: Chandra X-ray Observatory ObsId 01477

description: OFF-AXIS PSF USING 2RE J1032+532
DOI: 10.25574/01479
title: Chandra X-ray Observatory ObsId 01479
DOI: 10.5281/zenodo.12554614
title: Dataset: Cactus Acquisition Corp. 1 Limited (CCTSW) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12554615
title: Dataset: Cactus Acquisition Corp. 1 Limited (CCTSW) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12554616
title: Dataset: Compass Digital Acquisition Corp. (CDAQ) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.5281/zenodo.12554617
title: Dataset: Compass Digital Acquisition Corp. (CDAQ) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
DOI: 10.15468/dl.res982
title: Occurrence Download

description: A dataset containing 11924068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11924068 records from 2210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000727-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3n58zz
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acalypha boliviensis Müll.Arg."
 ]
}

 The dataset includes 62 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295328-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9mrfq
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Achillea brachyphylla Boiss. & Hausskn."
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296566-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ruhrjz
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Penstemon wislizenii (A.Gray) Straw"
 ]
}

 The dataset includes 191 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068990-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgdzts
title: Occurrence Download

description: A dataset containing 280 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia moorcroftiana Wall. ex Benth."
 ]
}

 The dataset includes 280 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110110-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s587zu
title: Occurrence Download

description: A dataset containing 666479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Upupa epops Linnaeus, 1758)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 666479 records from 1240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295212-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bgsx7
title: Occurrence Download

description: A dataset containing 2077 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Picumnus dorbignyanus Lafresnaye, 1845, Picumnus dorbygnianus BirdLife International, 2004, Picumnus dorbygnianus Lafresnaye, 1845, Picumnus dorbygnianus Sibley & Monroe, 1990, Picumnus dorbygnianus Stotz et al., 1996)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2077 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296562-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eajp6u
title: Occurrence Download

description: A dataset containing 453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trachycarpus fortunei (Hook.) H.Wendl."
 ]
}

 The dataset includes 453 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295331-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nsysq
title: Occurrence Download

description: A dataset containing 7 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.basisofrecord = 'HUMAN_OBSERVATION'
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND (occurrence.taxonkey = 3870406 OR occurrence.acceptedtaxonkey = 3870406 OR occurrence.kingdomkey = 3870406 OR occurrence.phylumkey = 3870406 OR occurrence.classkey = 3870406 OR occurrence.orderkey = 3870406 OR occurrence.familykey = 3870406 OR occurrence.genuskey = 3870406 OR occurrence.specieskey = 3870406)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 7 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007142-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1381112.10fu
title: SH1381112.10FU

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/sh1381113.10fu
title: SH1381113.10FU

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/sh1381114.10fu
title: SH1381114.10FU

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/sh1381116.10fu
title: SH1381116.10FU

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/sh1381117.10fu
title: SH1381117.10FU

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/sh1381122.10fu
title: SH1381122.10FU

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.