cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/drt-r17-7fg
title: Bunodophoron melanocarpum (Sw.) Wedin

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ve5-etj-be6
title: Bunodophoron melanocarpum (Sw.) Wedin

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/6mn-ady-cfy
title: Puccinia impressa Syd.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/c93-vdr-876
title: Puccinia imitans P. Syd. & Syd.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/y9v-b8r-53x
title: Puccinia imitans P. Syd. & Syd.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/c89-0af-b56
title: Puccinia hyoscyami Magnus

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/v7a-amx-d4h
title: Puccinia hyoscyami Magnus

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/896-pse-5fg
title: Puccinia huallagensis Henn.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ktn-0fj-hhb
title: Dicranolepis pyramidalis Gilg

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/4b8-5mj-0jk
title: Puccinia hieronymi Henn.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/567-wb5-xfb
title: Puccinia hieronymi Henn.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5k7-f5l-kxs
title: Puccinia globosipes Peck

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/96t-njw-zm6
title: Puccinia globosipes Peck

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/685-s2d-znt
title: Bunodophoron melanocarpum (Sw.) Wedin

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/c57-zcw-w8b
title: Meniscium arborescens Humb. & Bonpl. ex Willd.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wkc-chx-8e3
title: Bunodophoron melanocarpum (Sw.) Wedin

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zs8-psm-wm1
title: Bunodophoron melanocarpum (Sw.) Wedin

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.yvgavc
title: Occurrence Download

description: A dataset containing 379019 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lysimachia arvensis (L.) U.Manns & Anderb."
 ]
}

 The dataset includes 379019 records from 2909 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112425-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ky28za
title: Occurrence Download

description: A dataset containing 3737 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carex ornithopoda ornithopodioides"
 ]
}

 The dataset includes 3737 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001120-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0163673.10fu
title: SH0163673.10FU

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/sh0163674.10fu
title: SH0163674.10FU

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/sh0163675.10fu
title: SH0163675.10FU

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/sh0163676.10fu
title: SH0163676.10FU

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/sh0163677.10fu
title: SH0163677.10FU

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/sh0163678.10fu
title: SH0163678.10FU

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/sh0163679.10fu
title: SH0163679.10FU

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/sh0163680.10fu
title: SH0163680.10FU

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: 10.15468/dl.vk53rw
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Geometry POLYGON((135.37038 36.6635,129.27705 34.99905,127.58365 32.65434,130.18888 30.54121,137.30983 33.58064,135.37038 36.6635))",
 "TaxonKey is Astilbe japonica"
 ]
}

 The dataset includes 212 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001915-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88w7b8
title: Occurrence Download

description: A dataset containing 4828754 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 37.42857426825602
 AND decimallatitude &lt;= 41.89415215079384
 AND decimallongitude &gt;= -77.9229717807129
 AND decimallongitude &lt;= -69.0769461528656
 AND GBIF_Within('POLYGON ((-69.076946 37.428574, -69.076946 41.894152, -77.922972 41.894152, -77.922972 37.428574, -69.076946 37.428574))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 4828754 records were derived from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001909-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.37157
title: Herpes simplex virus type 1 (HSV-1); reactivation; single-cell RNA-seq; autophagy; trigeminal ganglion (TG); tree shrew; ICP0
title: 单细胞转录组分析揭示树鼩与小鼠三叉神经节中HSV-1潜伏再激活的分子和细胞过程差异

description: This dataset comprises bulk transcriptome and single-cell transcriptome data from HSV-1–infected trigeminal ganglia (TG) of C57BL/6J mice and tree shrews. Bulk RNA-seq includes 48 samples in total (24 per species) across post-infection time points 0, 3, 5, 7, 10, 14, 28, and 58 days post infection (dpi), with three biological replicates per time point. Single-cell data were generated from tree shrew and mouse TG: tree shrew samples were sequenced on the 10x Genomics platform and include mock and spontaneous reactivation (latency) conditions; mouse samples were sequenced on the BD Rhapsody platform with Sample_Tag multiplexing and include mock (mock, mock24h), lytic infection (lytic), latent infection (latency), reactivation (reactivation), and heat-shock–induced reactivation (heatshock12h, heatshock24h, heatshock36h). The dataset provides raw sequencing data and gene-expression matrices aligned to the respective reference genomes. Sample and data details are given in seq_information.xlsx.
description: This dataset comprises bulk transcriptome and single-cell transcriptome data from HSV-1–infected trigeminal ganglia (TG) of C57BL/6J mice and tree shrews. Bulk RNA-seq includes 48 samples in total (24 per species) across post-infection time points 0, 3, 5, 7, 10, 14, 28, and 58 days post infection (dpi), with three biological replicates per time point. Single-cell data were generated from tree shrew and mouse TG: tree shrew samples were sequenced on the 10x Genomics platform and include mock and spontaneous reactivation (latency) conditions; mouse samples were sequenced on the BD Rhapsody platform with Sample_Tag multiplexing and include mock (mock, mock24h), lytic infection (lytic), latent infection (latency), reactivation (reactivation), and heat-shock–induced reactivation (heatshock12h, heatshock24h, heatshock36h). The dataset provides raw sequencing data and gene-expression matrices aligned to the respective reference genomes. Sample and data details are given in seq_information.xlsx.
DOI: 10.3886/e245006
title: Neo-Medieval Conflicts Data 2024 - FSQCA - Merged Data FSI and UCDP Data

description: The data presented includes merged dataset from the Fragile State Index and 30 cases from the UCDP Armed conflict dataset for the year 2024. Also included are the results of an FSQCA analysis of neo-medieval conflict, and a readme explaining the methodological and thresholds used in the analysis for the article entitled <br>"Between State-Disintegrating and State-Building Wars: Determining the Conditions of “Neo-medieval” Conflicts and Building Theoretical-Empirical Bridges" <br>
DOI: 10.3886/e245006v1
title: Neo-Medieval Conflicts Data 2024 - FSQCA - Merged Data FSI and UCDP Data

description: The data presented includes merged dataset from the Fragile State Index and 30 cases from the UCDP Armed conflict dataset for the year 2024. Also included are the results of an FSQCA analysis of neo-medieval conflict, and a readme explaining the methodological and thresholds used in the analysis for the article entitled <br>"Between State-Disintegrating and State-Building Wars: Determining the Conditions of “Neo-medieval” Conflicts and Building Theoretical-Empirical Bridges" <br>
DOI: 10.15468/dl.dytpbp
title: Occurrence Download

description: A dataset containing 2273848 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((19.97408 -34.03617, 21.60755 -33.91706, 21.62145 -33.91459, 22.42157 -33.76347, 22.47901 -33.75132, 23.57659 -33.51587, 23.60292 -33.47762, 23.60592 -33.46754, 23.60501 -33.46222, 23.60499 -33.46212, 23.59681 -33.45199, 23.57524 -33.42565, 15.91757 -26.55324, 15.08009 -26.40228, 15.07727 -26.67681, 15.08197 -26.71047, 15.08856 -26.73156, 15.09254 -26.74428, 15.17979 -26.99699, 15.29395 -27.31786, 15.29848 -27.32831, 15.31926 -27.36859, 15.54543 -27.7544, 18.3133 -32.33308, 18.42632 -32.5144, 19.37997 -33.92744, 19.381 -33.928, 19.55767 -33.97892, 19.97408 -34.03617))"
 ]
}

 The dataset includes 2273848 records from 640 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001883-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5vkv2
title: Occurrence Download

description: A dataset containing 28891 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strix nebulosa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is 2002,2025"
 ]
}

 The dataset includes 28891 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001917-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14778641
title: Egypt Gold Prices | Daily Updated
DOI: 10.15468/dl.sbtz54
title: Occurrence Download

description: A dataset containing 2302761 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 37.42857426825602
 AND decimallatitude &lt;= 41.89415215079384
 AND decimallongitude &gt;= -11.98814950472506
 AND decimallongitude &lt;= -5.756412179405467
 AND GBIF_Within('POLYGON ((-5.756412 37.428574, -5.756412 41.894152, -11.988150 41.894152, -11.988150 37.428574, -5.756412 37.428574))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 2302761 records were derived from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001918-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7431010
title: SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events

description: SUTD-TrafficQA is a dataset that takes the form of Video QA based on 10,080 in-the-wild videos and annotated 62,535 QA pairs, for benchmarking the cognitive capability of causal inference and event understanding models in complex traffic scenarios. Specifically, the dataset proposes 6 challenging reasoning tasks corresponding to various traffic scenarios, so as to evaluate the reasoning capability over different kinds of complex yet practical traffic events.
DOI: 10.5281/zenodo.7431011
title: SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events

description: SUTD-TrafficQA is a dataset that takes the form of Video QA based on 10,080 in-the-wild videos and annotated 62,535 QA pairs, for benchmarking the cognitive capability of causal inference and event understanding models in complex traffic scenarios. Specifically, the dataset proposes 6 challenging reasoning tasks corresponding to various traffic scenarios, so as to evaluate the reasoning capability over different kinds of complex yet practical traffic events.
DOI: 10.15468/dl.3u68uc
title: Occurrence Download

description: A dataset containing 81908 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Dataset of occurrence and incidence of pine processionary moth in Andalusia (South Spain)"
 ]
}

 The dataset includes 81908 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001921-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.