cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ducela
title: Occurrence Download

description: A dataset containing 1173 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Cheilanthes Sw.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1173 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023785-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gukjtb
title: Occurrence Download

description: A dataset listing the 66 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Chronicle of Nature - Phenology of Plants of State Nature Reserve Kivach",
 "Geometry POLYGON((21.41502 57.96601,46.58498 57.96601,46.58498 68.03399,21.41502 68.03399,21.41502 57.96601))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 66 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202961-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.80fkp9
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calibrachoa elegans (Miers) Stehmann & Semir"
 ]
}

 The dataset includes 177 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023786-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j95czy
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lemur catta Linnaeus, 1758"
 ]
}

 The dataset includes 253 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0165026-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0a05me
title: Occurrence Download

description: A dataset containing 2369 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthribus E.L.Geoffroy, 1762"
 ]
}

 The dataset includes 2369 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023786-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cs6bwk
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces griseorubiginosus_A"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013628-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsychu
title: Occurrence Download

description: A dataset containing 137629 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "Geometry POLYGON((9.5 44.2, 12.1 44.2, 12.1 45.7, 9.5 45.7, 9.5 44.2))",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than 300",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 137629 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002279-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/daaflf
title: Flora de las Reservas Distritales de Humedal de Bogotá, D.C.

description: Los programas de monitoreo de biodiversidad en las áreas de reserva Distrital evalúan el estado de la biodiversidad, al establecer la distribución y abundancia de las especies presentes y relacionarla con patrones especiales, temporales y con posibles tensionantes asociados. Los resultados obtenidos de los programas de monitoreo consolidan la línea base del territorio, establecen instrumentos y plataformas de difusión de información, orientan técnicamente las intervenciones, priorizan acciones de recuperación de los ecosistemas, de conservación de especies focales y de control de especies invasoras.
description: El monitoreo de la flora hace parte fundamental para estudiar la composición florística actual del territorio, de modo que se pueda a mediano y largo plazo evaluar y conocer los cambios que se dan a lo largo del tiempo en la vegetación y componentes asociados, como consecuencia de factores conocidos.
description: En este recurso, el Grupo de Monitoreo de la Biodiversidad de la Secretaría Distrital de Ambiente (SDA) adscrito a la Subdirección de Ecosistemas y Ruralidad, presenta un consolidado de los registros biológicos de flora, producto del monitoreo de biodiversidad realizado a las Reservas Distritales de Humedal (RDH) durante los años 2016, 2017, 2021, 2022 y 2023. En total, se tiene un registro 405 especies vegetales presentes en 15 RDH declaradas en el Distrito Capital.
DOI: 10.15468/dl.jzqhmy
title: Occurrence Download

description: A dataset containing 55397763 records in GBIF matching the query:
SELECT catalognumber, scientificname, publishingorgkey, institutioncode, datasetkey, gbifid, decimallatitude, decimallongitude, 
 recordedby, identifiedby, eventdate, kingdomkey, phylumkey, classkey, orderkey, familykey, genuskey, subgenuskey, specieskey
 FROM occurrence WHERE
 phylumkey = 44 AND classkey &lt;&gt; 212 
 AND taxonomicstatus = 'ACCEPTED' //newly added 12Feb2025
 AND hascoordinate = 1
 AND hasgeospatialissues = 0
 AND specieskey IS NOT NULL
 AND occurrencestatus = 'PRESENT'
 -- AND (
 -- basisofrecord = 'HUMAN_OBSERVATION'
 -- OR basisofrecord = 'MACHINE_OBSERVATION'
 -- OR basisofrecord = 'OCCURRENCE'
 -- OR basisofrecord = 'LIVING_SPECIMEN'
 -- OR basisofrecord = 'MATERIAL_SAMPLE'
 -- )
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND datasetkey NOT IN ('040c5662-da76-4782-a48e-cdea1892d14c') 

 The dataset's 55397763 records were derived from 19187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002276-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e221121
title: Data and Code for: Electric Vehicles and the Energy Transition: Unintended Consequences of Time-Of-Use Pricing

description: The growth of electric vehicles (EVs) raises new challenges for electricity systems. We implement a field experiment to assess the effect of time-of-use (TOU) pricing and managed charging on EV charging behavior. We find that while TOU pricing is effective at shifting EV charging into off-peak hours, it unintentionally induces new and larger "shadow peaks" of simultaneous charging. These shadow peaks lead to greater exceedance of local capacity constraints and advance the need for distribution network upgrades. In contrast, centrally managed charging solves the coordination problem, reducing transformer capacity requirements, and is well-tolerated by consumers in our setting.
description: Response Rates: 202 electric vehicles (EVs) signed up for the program. The program was run through Optiwatt's App. The app automatically tracked EV charging, both at home and away.
description: In July 2023, after several months of monitoring charging behavior, we randomized EV owners into three groups: (i) Control (62 EVs), (ii) TOU (70 EVs), and (iii) Managed (70 EVs).
description: Electric vehicle owners in Alberta Canada, FortisAlberta territory. Smallest Geographic Unit: Vehicle-level data in Alberta Canada
description: other;
DOI: 10.3886/e221121v1
title: Data and Code for: Electric Vehicles and the Energy Transition: Unintended Consequences of Time-Of-Use Pricing

description: The growth of electric vehicles (EVs) raises new challenges for electricity systems. We implement a field experiment to assess the effect of time-of-use (TOU) pricing and managed charging on EV charging behavior. We find that while TOU pricing is effective at shifting EV charging into off-peak hours, it unintentionally induces new and larger "shadow peaks" of simultaneous charging. These shadow peaks lead to greater exceedance of local capacity constraints and advance the need for distribution network upgrades. In contrast, centrally managed charging solves the coordination problem, reducing transformer capacity requirements, and is well-tolerated by consumers in our setting.
description: Response Rates: 202 electric vehicles (EVs) signed up for the program. The program was run through Optiwatt's App. The app automatically tracked EV charging, both at home and away.
description: In July 2023, after several months of monitoring charging behavior, we randomized EV owners into three groups: (i) Control (62 EVs), (ii) TOU (70 EVs), and (iii) Managed (70 EVs).
description: Electric vehicle owners in Alberta Canada, FortisAlberta territory. Smallest Geographic Unit: Vehicle-level data in Alberta Canada
description: other;
DOI: 10.5517/ccdc.csd.cc2kj6v5
title: CCDC 2369077: Experimental Crystal Structure Determination

description: Related Article: Yong-Kang Zhu, Ao Liu, Gengxin Wu, Lang Yuan, Yuan-Hang Jin, Meng-Hao Li, Xin Wang, Ying-Wei Yang
|2025|Angew.Chem.,Int.Ed.|64|e202513299|doi:10.1002/anie.202513299
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.cc2kj57j
title: CCDC 2369027: Experimental Crystal Structure Determination

description: Related Article: Mikhail Yu. Moskalik, Valentina S. Myasnikova, Vera V. Astakhova, Tatyana N. Borodina, Sergey V. Zinchenko, Bagrat A. Shainyan|2025|New J.Chem.|||doi:10.1039/D5NJ02510A
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.cc2kj58k
title: CCDC 2369028: Experimental Crystal Structure Determination

description: Related Article: Mikhail Yu. Moskalik, Valentina S. Myasnikova, Vera V. Astakhova, Tatyana N. Borodina, Sergey V. Zinchenko, Bagrat A. Shainyan|2025|New J.Chem.|||doi:10.1039/D5NJ02510A
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.cc2kj59l
title: CCDC 2369029: Experimental Crystal Structure Determination

description: Related Article: Mikhail Yu. Moskalik, Valentina S. Myasnikova, Vera V. Astakhova, Tatyana N. Borodina, Sergey V. Zinchenko, Bagrat A. Shainyan|2025|New J.Chem.|||doi:10.1039/D5NJ02510A
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.cc2lt86x
title: CCDC 2407559: Experimental Crystal Structure Determination

description: Related Article: Sarra Soudani, Sibel Demir Kanmazalp, Mücahit Özdemir, Bahattin Yalçın, Jin-Xiao Mi, Cherif Ben Nasr|2025|J.Mol.Struct.|1338|142263|doi:10.1016/j.molstruc.2025.142263
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.cc2lt87y
title: CCDC 2407560: Experimental Crystal Structure Determination

description: Related Article: Sarra Soudani, Sibel Demir Kanmazalp, Mücahit Özdemir, Bahattin Yalçın, Jin-Xiao Mi, Cherif Ben Nasr|2025|J.Mol.Struct.|1338|142263|doi:10.1016/j.molstruc.2025.142263
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.cc2lv6xl
title: CCDC 2408480: Experimental Crystal Structure Determination

description: Related Article: Xu-Lang Chen, Zi-You Zheng, Zhao-Yi Cheng, Cai-Yue Zhao, Yang Gao, Tian Wang, Chunyang Zheng, Jia-Qi Liang, Xin Zhang, Ai-Jiao Guan, Xiaohuan Huang, Han-Yuan Gong|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c03613
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.cc2ly0rb
title: CCDC 2411172: Experimental Crystal Structure Determination

description: Related Article: Yishou Wang, Yucai Mu, Xin Han, Jichao Xiao, Genping Huang, Fen Wang, Xiao-Xi Li, Xingwei Li|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c15479
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: 10.15156/bio/sh1166191.10fu
title: SH1166191.10FU

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/sh1166192.10fu
title: SH1166192.10FU

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/sh1166193.10fu
title: SH1166193.10FU

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/sh1166194.10fu
title: SH1166194.10FU

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/sh1166196.10fu
title: SH1166196.10FU

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/sh1166198.10fu
title: SH1166198.10FU

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/sh1166199.10fu
title: SH1166199.10FU

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/sh1166200.10fu
title: SH1166200.10FU

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.