cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1210988.10fu
title: SH1210988.10FU

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/sh1210990.10fu
title: SH1210990.10FU

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: 10.3886/e243218
title: AH Provisional COVID-19 Deaths Counts by Health Service Area

description: Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by health service area. Health service area is determined by the decedent's county of residence.
description: (Downloaded 1/10/2026)
DOI: 10.15156/bio/sh1210991.10fu
title: SH1210991.10FU

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: 10.3886/e243218v1
title: AH Provisional COVID-19 Deaths Counts by Health Service Area

description: Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by health service area. Health service area is determined by the decedent's county of residence.
description: (Downloaded 1/10/2026)
DOI: 10.15156/bio/sh1210992.10fu
title: SH1210992.10FU

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/sh1210993.10fu
title: SH1210993.10FU

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/sh1210995.10fu
title: SH1210995.10FU

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/sh1210997.10fu
title: SH1210997.10FU

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/sh1210998.10fu
title: SH1210998.10FU

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/sh1210999.10fu
title: SH1210999.10FU

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/sh1211000.10fu
title: SH1211000.10FU

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.p9j885
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Vachellia guanacastensis"
 ]
}

 The dataset includes 27 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062857-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18474519
title: DTC tags

description: This is dataset from Time to Digital converter
DOI: 10.5281/zenodo.18474520
title: DTC tags

description: This is dataset from Time to Digital converter
DOI: 10.5281/zenodo.18474552
title: THE CHEMICAL BASIS OF CANCER DEVELOPMENT AND CHEMOTHERAPY DESIGN

description: Cancer is a complex disease driven by chemical and molecular alterations in cellular systems. Changes in DNA structure, protein function, and biochemical signaling pathways lead to uncontrolled cell proliferation and tumor formation. Understanding the chemical basis of cancer development is essential for designing effective chemotherapeutic agents. This article examines the chemical mechanisms underlying cancer progression and discusses how these mechanisms guide the design of chemotherapy drugs. The study highlights the importance of chemical principles in identifying drug targets, developing anticancer agents, and improving therapeutic outcomes in oncology.
DOI: 10.5281/zenodo.18474553
title: THE CHEMICAL BASIS OF CANCER DEVELOPMENT AND CHEMOTHERAPY DESIGN

description: Cancer is a complex disease driven by chemical and molecular alterations in cellular systems. Changes in DNA structure, protein function, and biochemical signaling pathways lead to uncontrolled cell proliferation and tumor formation. Understanding the chemical basis of cancer development is essential for designing effective chemotherapeutic agents. This article examines the chemical mechanisms underlying cancer progression and discusses how these mechanisms guide the design of chemotherapy drugs. The study highlights the importance of chemical principles in identifying drug targets, developing anticancer agents, and improving therapeutic outcomes in oncology.
DOI: 10.25934/pr00012596.0
title: Available datapackage for study 'Ethno-epidemiology of Hepatitis C (HCV), HIV and Overdose associated with Drug Markets and Drug Tourism'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.18461573
title: Transcranial direct current stimulation (tDCS) as an additional treatment to cognitive behavior group therapy in adults with tobacco dependence – a double-blind, randomized, sham-controlled pilot trial

description: Data from a double-blind, randomized, sham-controlled pilot trial investigating transcranial direct current stimulation (tDCS) as an adjunct to cognitive behavioral therapy (CBT) for smoking cessation. Conducted in Germany (2012-2013), the study randomized 54 adults with tobacco dependence to active (2 mA, 30 min, left DLPFC) or sham tDCS over 7 weekly sessions combined with group CBT. The dataset includes 49 participants (modified ITT population) with baseline characteristics, smoking status at multiple timepoints (baseline through 6-month follow-up), exhaled CO levels, cigarettes per day, craving scores (QSU-brief), and blinding integrity data.

smoke_tdcs_data.csv: Anonymized participant-level datasmoke_tdcs_codebook.csv: Variable descriptiontDCS_smoking_analysis.R: R analysis script
DOI: 10.5281/zenodo.18461572
title: Transcranial direct current stimulation (tDCS) as an additional treatment to cognitive behavior group therapy in adults with tobacco dependence – a double-blind, randomized, sham-controlled pilot trial

description: Data from a double-blind, randomized, sham-controlled pilot trial investigating transcranial direct current stimulation (tDCS) as an adjunct to cognitive behavioral therapy (CBT) for smoking cessation. Conducted in Germany (2012-2013), the study randomized 54 adults with tobacco dependence to active (2 mA, 30 min, left DLPFC) or sham tDCS over 7 weekly sessions combined with group CBT. The dataset includes 49 participants (modified ITT population) with baseline characteristics, smoking status at multiple timepoints (baseline through 6-month follow-up), exhaled CO levels, cigarettes per day, craving scores (QSU-brief), and blinding integrity data.

smoke_tdcs_data.csv: Anonymized participant-level datasmoke_tdcs_codebook.csv: Variable descriptiontDCS_smoking_analysis.R: R analysis script
DOI: 10.15468/dl.2msqe6
title: Occurrence Download

description: A dataset containing 100812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Ploceus cucullatus"
 ]
}

 The dataset includes 100812 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010285-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/7exc-yj68
title: Data from Elliptical Galaxies

description: HST Data for N4472, N4636, N5044,N5813, N5846
DOI: 10.15468/dl.9mdfp8
title: Occurrence Download

description: A dataset containing 1141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrena andrenoides"
 ]
}

 The dataset includes 1141 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010319-260129131611470/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.cc2hbwsj
title: CCDC 2304378: Experimental Crystal Structure Determination

description: Related Article: A. N. Lukoyanov, G. V. Markin, G. Yu. Zhigulin S. Yu. Ketkov, M. A. Lopatin, E. V. Baranov, V. A. Kuropatov, A. A. Belikov|2023|Zh.Obshch.Khim.|93|S649|doi:10.1134/S107036322316003X
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.cc2hbwtk
title: CCDC 2304379: Experimental Crystal Structure Determination

description: Related Article: A. N. Lukoyanov, G. V. Markin, G. Yu. Zhigulin S. Yu. Ketkov, M. A. Lopatin, E. V. Baranov, V. A. Kuropatov, A. A. Belikov|2023|Zh.Obshch.Khim.|93|S649|doi:10.1134/S107036322316003X
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.cc2hbwvl
title: CCDC 2304380: Experimental Crystal Structure Determination

description: Related Article: A. N. Lukoyanov, G. V. Markin, G. Yu. Zhigulin S. Yu. Ketkov, M. A. Lopatin, E. V. Baranov, V. A. Kuropatov, A. A. Belikov|2023|Zh.Obshch.Khim.|93|S649|doi:10.1134/S107036322316003X
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.cc2hk87l
title: CCDC 2310499: Experimental Crystal Structure Determination

description: Related Article: Mirna Mandarić, Edi Topić, Dominique Agustin, Jana Pisk, Višnja Vrdoljak|2024|Int.J.Mol.Sci.|25|1503|doi:10.3390/ijms25031503
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.cc2hk88m
title: CCDC 2310500: Experimental Crystal Structure Determination

description: Related Article: Mirna Mandarić, Edi Topić, Dominique Agustin, Jana Pisk, Višnja Vrdoljak|2024|Int.J.Mol.Sci.|25|1503|doi:10.3390/ijms25031503
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.cc2hk89n
title: CCDC 2310501: Experimental Crystal Structure Determination

description: Related Article: Mirna Mandarić, Edi Topić, Dominique Agustin, Jana Pisk, Višnja Vrdoljak|2024|Int.J.Mol.Sci.|25|1503|doi:10.3390/ijms25031503
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.cc2hk8bp
title: CCDC 2310502: Experimental Crystal Structure Determination

description: Related Article: Mirna Mandarić, Edi Topić, Dominique Agustin, Jana Pisk, Višnja Vrdoljak|2024|Int.J.Mol.Sci.|25|1503|doi:10.3390/ijms25031503
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.cc2hk8cq
title: CCDC 2310503: Experimental Crystal Structure Determination

description: Related Article: Mirna Mandarić, Edi Topić, Dominique Agustin, Jana Pisk, Višnja Vrdoljak|2024|Int.J.Mol.Sci.|25|1503|doi:10.3390/ijms25031503
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.cc2hk8dr
title: CCDC 2310504: Experimental Crystal Structure Determination

description: Related Article: Mirna Mandarić, Edi Topić, Dominique Agustin, Jana Pisk, Višnja Vrdoljak|2024|Int.J.Mol.Sci.|25|1503|doi:10.3390/ijms25031503
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.