cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2lty4j
title: CCDC 2408208: Experimental Crystal Structure Determination

description: Related Article: Hui‐Ping Zhang, Qian Yi, Xin‐Yu Guan, Rui‐Rong Dai, Jie Pang, Qing Zhong, Shaozao Tan, Dong Luo, Yan Yan Li, Mo Xie, Xiao‐Ping Zhou, Dan Li|2025|Angew.Chem.,Int.Ed.|64|e202507349|doi:10.1002/anie.202507349
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.cc2lty5k
title: CCDC 2408209: Experimental Crystal Structure Determination

description: Related Article: Hui‐Ping Zhang, Qian Yi, Xin‐Yu Guan, Rui‐Rong Dai, Jie Pang, Qing Zhong, Shaozao Tan, Dong Luo, Yan Yan Li, Mo Xie, Xiao‐Ping Zhou, Dan Li|2025|Angew.Chem.,Int.Ed.|64|e202507349|doi:10.1002/anie.202507349
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.cc2lty6l
title: CCDC 2408210: Experimental Crystal Structure Determination

description: Related Article: Hui‐Ping Zhang, Qian Yi, Xin‐Yu Guan, Rui‐Rong Dai, Jie Pang, Qing Zhong, Shaozao Tan, Dong Luo, Yan Yan Li, Mo Xie, Xiao‐Ping Zhou, Dan Li|2025|Angew.Chem.,Int.Ed.|64|e202507349|doi:10.1002/anie.202507349
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.cc2lty9p
title: CCDC 2408213: Experimental Crystal Structure Determination

description: Related Article: Hui‐Ping Zhang, Qian Yi, Xin‐Yu Guan, Rui‐Rong Dai, Jie Pang, Qing Zhong, Shaozao Tan, Dong Luo, Yan Yan Li, Mo Xie, Xiao‐Ping Zhou, Dan Li|2025|Angew.Chem.,Int.Ed.|64|e202507349|doi:10.1002/anie.202507349
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.cc2ltybq
title: CCDC 2408214: Experimental Crystal Structure Determination

description: Related Article: Wei Li, Yu Chen, Ruyi Yuan, Xuhao Jia, Yingming Yao, Li Zhang|2025|Angew.Chem.,Int.Ed.|64||doi:10.1002/anie.202500315
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.cc2llfh4
title: CCDC 2400996: Experimental Crystal Structure Determination

description: Related Article: Roman Rusnac, Olga Garbuz, Dorin Istrati, Victor Kravtsov, Elena Melnic, Victor Tsapcov, Donald Poirier, Aurelian Gulea|2024|Molecules|29|6002|doi:10.3390/molecules29246002
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.fuzt8b
title: Occurrence Download

description: A dataset containing 2043 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aphis glycines"
 ]
}

 The dataset includes 2043 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000642-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhhbzu
title: Occurrence Download

description: A dataset containing 4626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((119.77079 30.04498,120.43113 30.04535,120.42989 30.5084,119.77079 30.51195,119.77079 30.04498))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Turdus mandarinus",
 "Year 2020-2025"
 ]
}

 The dataset includes 4626 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000643-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ececaz
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Prunus domestica"
 ]
}

 The dataset includes 91 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000645-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scrxbd
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Caragana kirghisorum"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000646-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wckrd
title: Occurrence Download

description: A dataset containing 9239 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acheilognathus yamatsutae"
 ]
}

 The dataset includes 9239 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000647-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9k7xz5
title: Occurrence Download

description: A dataset containing 3742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((119.77079 30.04498,120.43113 30.04535,120.42989 30.5084,119.77079 30.51195,119.77079 30.04498))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anas zonorhyncha",
 "Year 2020-2025"
 ]
}

 The dataset includes 3742 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000648-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rybkp5
title: Occurrence Download

description: A dataset containing 2117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acheilognathus koreensis"
 ]
}

 The dataset includes 2117 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000650-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7jdq2
title: Occurrence Download

description: A dataset containing 5599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((119.77079 30.04498,120.43113 30.04535,120.42989 30.5084,119.77079 30.51195,119.77079 30.04498))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pycnonotus sinensis",
 "Year 2020-2025"
 ]
}

 The dataset includes 5599 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000651-251025141854904/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/13504762
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.a432uu
title: Occurrence Download

description: A dataset containing 11539 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trachycarpus fortunei"
 ]
}

 The dataset includes 11539 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000652-251025141854904/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.cc2lv1gz
title: CCDC 2408311: Experimental Crystal Structure Determination

description: Related Article: Suman Mandal, Jagannath Chowdhury, Ankika Bhakat, Keka Sarkar, Analava Bera, Arunima Biswas, David B. Cordes, Alexandra M.Z. Slawin, Nitis Chandra Saha|2025|J.Mol.Struct.|1347|143313|doi:10.1016/j.molstruc.2025.143313
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.cc2lv1fy
title: CCDC 2408310: Experimental Crystal Structure Determination

description: Related Article: Zhuoyuan Li, Chuanjun Zhou, Kaiyang Kuang, Jiahao Liu, Shuang Chen, Shan Jin, Manzhou Zhu|2025|Chem.Asian J.|20|e202401819|doi:10.1002/asia.202401819
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.qt6wmm
title: Occurrence Download

description: A dataset containing 263151 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.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2020 AND occurrence."year" &lt;= 2020)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 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 263151 records were derived from 9460 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000644-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1089340.10fu
title: SH1089340.10FU

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/sh1089343.10fu
title: SH1089343.10FU

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/sh1089344.10fu
title: SH1089344.10FU

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/sh1089346.10fu
title: SH1089346.10FU

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: 10.5281/zenodo.18206285
title: Extended Low-Dose Apixaban in the Long-Term Management of Cancer-Associated Venous Thromboembolism: A Comprehensive Analysis of Efficacy, Safety, and Clinical Implications

description: Abstract


Cancer-associated venous thromboembolism (VTE) represents a significant clinical challenge

due to its high incidence and recurrence risk. Apixaban, a direct oral anticoagulant (DOAC), has

emerged as a promising option for both acute and extended treatment phases. This article

evaluates the efficacy and safety of extended low-dose apixaban (2.5 mg twice daily) for the

long-term management of cancer-associated VTE, drawing on clinical trials, observational

studies, and mechanistic insights. We discuss dosing strategies, patient selection criteria,

bleeding risks, and the role of imaging in monitoring outcomes. The findings suggest that low-

dose apixaban offers a favorable balance of efficacy and safety, reducing recurrent VTE while

minimizing major bleeding events in cancer patients. Recommendations for clinical practice and

future research are provided.

Keywords: Cancer-associated VTE, apixaban, low-dose anticoagulation, extended therapy,

bleeding risk, imaging.
DOI: 10.5281/zenodo.18206286
title: Extended Low-Dose Apixaban in the Long-Term Management of Cancer-Associated Venous Thromboembolism: A Comprehensive Analysis of Efficacy, Safety, and Clinical Implications

description: Abstract


Cancer-associated venous thromboembolism (VTE) represents a significant clinical challenge

due to its high incidence and recurrence risk. Apixaban, a direct oral anticoagulant (DOAC), has

emerged as a promising option for both acute and extended treatment phases. This article

evaluates the efficacy and safety of extended low-dose apixaban (2.5 mg twice daily) for the

long-term management of cancer-associated VTE, drawing on clinical trials, observational

studies, and mechanistic insights. We discuss dosing strategies, patient selection criteria,

bleeding risks, and the role of imaging in monitoring outcomes. The findings suggest that low-

dose apixaban offers a favorable balance of efficacy and safety, reducing recurrent VTE while

minimizing major bleeding events in cancer patients. Recommendations for clinical practice and

future research are provided.

Keywords: Cancer-associated VTE, apixaban, low-dose anticoagulation, extended therapy,

bleeding risk, imaging.
DOI: 10.15156/bio/sh1089347.10fu
title: SH1089347.10FU

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/sh1089350.10fu
title: SH1089350.10FU

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/sh1089352.10fu
title: SH1089352.10FU

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.