cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0101554.10fu
title: SH0101554.10FU

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: 10.5517/ccdc.csd.cc2h091w
title: CCDC 2294187: Experimental Crystal Structure Determination

description: Related Article: Yongqi Tian, Junliang Zhang, Xuan Chen, Dengwei Zhang, Zengzhi Liu, Lisheng Li, Ying Xu, Yong-Xin Li|2025|Phytochemistry|243||doi:10.1016/j.phytochem.2025.114721
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: 10.13145/bacdive109839.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109840.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0101555.10fu
title: SH0101555.10FU

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: 10.5517/ccdc.csd.cc2h092x
title: CCDC 2294188: Experimental Crystal Structure Determination

description: Related Article: Yongqi Tian, Junliang Zhang, Xuan Chen, Dengwei Zhang, Zengzhi Liu, Lisheng Li, Ying Xu, Yong-Xin Li|2025|Phytochemistry|243||doi:10.1016/j.phytochem.2025.114721
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.cc2h0950
title: CCDC 2294191: Experimental Crystal Structure Determination

description: Related Article: Yongqi Tian, Junliang Zhang, Xuan Chen, Dengwei Zhang, Zengzhi Liu, Lisheng Li, Ying Xu, Yong-Xin Li|2025|Phytochemistry|243||doi:10.1016/j.phytochem.2025.114721
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.cc2h0961
title: CCDC 2294192: Experimental Crystal Structure Determination

description: Related Article: Yongqi Tian, Junliang Zhang, Xuan Chen, Dengwei Zhang, Zengzhi Liu, Lisheng Li, Ying Xu, Yong-Xin Li|2025|Phytochemistry|243||doi:10.1016/j.phytochem.2025.114721
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: 10.13145/bacdive109840.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109841.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0101556.10fu
title: SH0101556.10FU

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: 10.13145/bacdive109841.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109842.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0101557.10fu
title: SH0101557.10FU

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: 10.13145/bacdive109842.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0101558.10fu
title: SH0101558.10FU

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: 10.13145/bacdive109843.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109843.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0101559.10fu
title: SH0101559.10FU

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.nmfjpy
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Emberiza cia Linnaeus, 1767",
 "Year 2013-2022"
 ]
}

 The dataset includes 45 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000407-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15125770
title: Consumer Preferences on  Activity Adaptation in  Demand-Side Response Survey  2023

description: Demand Side response (DSR) consists of a series of externally-driven control strategies aimed at adapting consumer end-use load to specific grid requirements (Pallonetto et al., 2020). The objectives of DSR include reducing the peak load, reshaping the load profile and maintaining the energy supply-demand balance. To achieve these objectives, energy price signals are a prevalent tool and are usually represented by various types of electricity tariffs, including Time-of-use (ToU) and dynamic Time-of-use (dToU). ToU tariffs have been used around the world and two famous examples in the UK, the Economy 7 and Economy 10 tariffs, are offered by several energy providers, e.g., British Gas and Green Energy UK. In the residential sector, the underlying belief is that consumers with ToU or dToU tariffs will reschedule indoor activities from hours with higher rates to hours with lower rates to save energy expenses.

In this context, consumers’ responses to price signals greatly influence the efficiency of DSR but have not been fully studied. Most literature focused on designing optimization models assumes that consumers are always rational and economic agents, exhibiting optimal behaviours (Good, 2019). In addition, the optimal behaviours are usually designed by researchers from the standpoint of the grid, the society or the community based on aggregated monetary savings and the flexible range of activity start times. However, individual choices and many other influential factors in consumers’ adaptation of activity schedules are neglected, such as the seasons, working days, price levels, original time of activity, the heterogeneity of individuals/households and participants’ attitudes toward energy-saving, all of which may cause biased design and assessment of DSR (Good, 2019). Therefore, a stated preference survey, DSR-SP, was designed to collect consumers’ choice of adapting activities in hypothetical situations when electricity prices change in DSR. The results were used to build choice models and study the influential factors of these adaptation behaviours. The findings are used to estimate consumers’ real reactions to price signals in DSR and guide the design of time-of-use electricity tariffs.

The DSR-SP survey collects four categories of data: (a) current activity schedules and tariffs; (b) the choices of adapting indoor activities in hypothetical situations; (c) attitudes toward energy conservation; and (d) socio-demographics.

The current document outlines the survey design, stated preference alternatives and attribute levels as well as the structure and relationship between data files. Furthermore, the appendices contain a comprehensive description of the coding schemes used when processing the data (Appendix 1) and the Participant Information Sheet (Appendix 2). The sample questionnaire is provided as a separate document.
DOI: 10.5281/zenodo.15125771
title: Consumer Preferences on  Activity Adaptation in  Demand-Side Response Survey  2023

description: Demand Side response (DSR) consists of a series of externally-driven control strategies aimed at adapting consumer end-use load to specific grid requirements (Pallonetto et al., 2020). The objectives of DSR include reducing the peak load, reshaping the load profile and maintaining the energy supply-demand balance. To achieve these objectives, energy price signals are a prevalent tool and are usually represented by various types of electricity tariffs, including Time-of-use (ToU) and dynamic Time-of-use (dToU). ToU tariffs have been used around the world and two famous examples in the UK, the Economy 7 and Economy 10 tariffs, are offered by several energy providers, e.g., British Gas and Green Energy UK. In the residential sector, the underlying belief is that consumers with ToU or dToU tariffs will reschedule indoor activities from hours with higher rates to hours with lower rates to save energy expenses.

In this context, consumers’ responses to price signals greatly influence the efficiency of DSR but have not been fully studied. Most literature focused on designing optimization models assumes that consumers are always rational and economic agents, exhibiting optimal behaviours (Good, 2019). In addition, the optimal behaviours are usually designed by researchers from the standpoint of the grid, the society or the community based on aggregated monetary savings and the flexible range of activity start times. However, individual choices and many other influential factors in consumers’ adaptation of activity schedules are neglected, such as the seasons, working days, price levels, original time of activity, the heterogeneity of individuals/households and participants’ attitudes toward energy-saving, all of which may cause biased design and assessment of DSR (Good, 2019). Therefore, a stated preference survey, DSR-SP, was designed to collect consumers’ choice of adapting activities in hypothetical situations when electricity prices change in DSR. The results were used to build choice models and study the influential factors of these adaptation behaviours. The findings are used to estimate consumers’ real reactions to price signals in DSR and guide the design of time-of-use electricity tariffs.

The DSR-SP survey collects four categories of data: (a) current activity schedules and tariffs; (b) the choices of adapting indoor activities in hypothetical situations; (c) attitudes toward energy conservation; and (d) socio-demographics.

The current document outlines the survey design, stated preference alternatives and attribute levels as well as the structure and relationship between data files. Furthermore, the appendices contain a comprehensive description of the coding schemes used when processing the data (Appendix 1) and the Participant Information Sheet (Appendix 2). The sample questionnaire is provided as a separate document.
DOI: 10.15468/dl.7fu7nz
title: Occurrence Download

description: A dataset containing 249 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pantholops hodgsonii (Abel, 1826)"
 ]
}

 The dataset includes 249 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000408-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pbkjc
title: Occurrence Download

description: A dataset containing 598012 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Bhutan"
 ]
}

 The dataset includes 598012 records from 308 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000391-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15126466
title: YER RESURSLARIDAN SAMARALI FOYDALANISHDA INVESTITSIYALARNI JAB QILISH
DOI: 10.5281/zenodo.15126467
title: YER RESURSLARIDAN SAMARALI FOYDALANISHDA INVESTITSIYALARNI JAB QILISH
DOI: 10.15468/dl.56ecfv
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Andorra",
 "TaxonKey is Bombus Latreille, 1802"
 ]
}

 The dataset includes 178 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000410-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zry2nq
title: Occurrence Download

description: A dataset containing 680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lonchorhina aurita Tomes, 1863"
 ]
}

 The dataset includes 680 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000409-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usa2d4
title: Occurrence Download

description: A dataset containing 65172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinus sylvestris L."
 ]
}

 The dataset includes 65172 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000402-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13837605
title: The dynamics of leadership and success in software development teams

description: This repository contains the code and the necessary data used for the analyses in the paper "The dynamics of leadership and success in software development teams".

https://arxiv.org/abs/2404.18833
DOI: 10.5281/zenodo.13837606
title: The dynamics of leadership and success in software development teams

description: This repository contains the code and the necessary data used for the analyses in the paper "The dynamics of leadership and success in software development teams".

https://arxiv.org/abs/2404.18833
DOI: 10.6084/m9.figshare.28716161
title: Dataset and Code: Community-wide genotyping of <i>Batrachochytrium dendrobatidis</i> in Ecuadorian forests

description: Real-time PCR and SNP genotyping assays were used to determine <i>Bd</i> prevalence and the lineage infecting amphibians in three distinct ecoregions of Ecuador. <i>Bd</i> prevalence was 32% and only Bd-GPL was detected among 464 hosts tested.
DOI: 10.15468/dl.swwcmz
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "OccurrenceStatus is Present",
 "StateProvince is KOMI Republic",
 "TaxonKey is Paeonia anomala L."
 ]
}

 The dataset includes 145 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000413-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71795/htp1-w689
title: Digitizing Early Farming Cultures Thesaurus
title: DEFC Thesaurus