cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pw72fnk85s.1
title: Mapping Resilience Factors Among Educators During War and Crisis

description: 257 teachers during war time filled a questionnaire and answered 3 open questions that were coded into 8 themes each.
The data file includes demographic data with self explanatory variable names and scales and subscales averages of the questionnaire: MSPSS (Social support), Peer Support, PFQ (Psychological Flexibility), MAAS (mindfulness), LOT (optimism), MIL (Multidimensional Existential Meaning Scale), BRS (Brief Resilience Scale ) , PCASS (Perceived Choice and Awareness). In addition the file includes the answers to the open questions: question 1: “What are the main challenges you are currently experiencing – personally and professionally?”; question 2: “How do you cope with these challenges? What gives you strength?”; and question 3: “What do you think should be done to improve teachers' ability to cope with uncertainty and crisis?”, and the codings of the 3 questions into 8 themes each. 
The themes for question 1: 
1.Emotional/Mental Health Challenges
2. Professional Burnout
3. War-Related Stress
4. Economic Pressures
5. Work-Life Balance
6. Educational System Challenges
7. Existential Uncertainty
8. Physical Health Struggles
The themes for question 2: 
1. Family Support
2. Faith and Spirituality
3. Professional Satisfaction
4. Social Support
5. Personal Resilience
6. Self-Care Activities
7. Professional Help
8. Routine and Structure
The themes for question 3: 
1. Emotional Support
2. Professional Development
3. Work Environment Improvement
4. Administrative Support
5. Mental Health Resources
6. Workload Reduction
7. Financial Incentives
8. Community Building
DOI: 10.5281/zenodo.15085227
title: A Spherical-Harmonic Deep Learning Framework for Generic Tree Morphology and Species Identification

description: The representative subset of the dataset used in this study includes point clouds of individual trees from various species, as well as forest landscapes from China. Additional forest tree data can be obtained upon request from the first or corresponding author.
DOI: 10.5281/zenodo.15925952
title: A Spherical-Harmonic Deep Learning Framework for Generic Tree Morphology and Species Identification

description: The representative subset of the dataset used in this study includes point clouds of individual trees from various species, as well as forest landscapes from China. Additional forest tree data can be obtained upon request from the first or corresponding author.
DOI: 10.15468/dl.vbssx5
title: Occurrence Download

description: A dataset containing 7560 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus serotina",
 "HasCoordinate is true",
 "Country is France"
 ]
}

 The dataset includes 7560 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004987-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmzyhi
title: Occurrence Download

description: A dataset containing 3733 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conepatus Gray, 1837"
 ]
}

 The dataset includes 3733 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043533-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w1bumq
title: Occurrence Download

description: A dataset containing 306 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erythroxylum ovalifolium Peyr."
 ]
}

 The dataset includes 306 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019508-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e78ddv
title: Occurrence Download

description: A dataset containing 733 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Machine Observation"
 ]
 },
 "Geometry POLYGON((-65.83008 -60.19616,-16.34766 -60.67318,-15.11719 -42.81152,-13.71094 -12.89749,-31.28906 10.83331,-43.24219 24.84657,-38.32031 36.87962,-25.83984 65.58572,-36.38672 67.54217,-47.63672 67.54217,-68.68652 67.25506,-69.16992 65.54937,-77.21191 64.68032,-78.00293 63.33241,-77.3877 62.20651,-72.68555 59.04055,-70.13672 53.85253,-76.24512 48.95137,-78.83789 41.83683,-82.44141 37.30028,-95.80078 33.57801,-101.77734 27.21556,-98.10791 18.16673,-94.81201 17.28771,-90.06592 14.96601,-87.60498 15.00846,-85.18799 13.94473,-84.35303 10.2933,-82.33154 8.68964,-81.10107 8.47237,-80.52979 8.6462,-79.29932 9.25394,-78.46436 8.9936,-77.03613 7.4932,-69.60937 2.1089,-50.97656 -14.26438,-68.99414 -40.5138,-72.1582 -51.01375,-68.4668 -54.41893,-65.83008 -60.19616))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Luidia lawrencei Hopkins & Knott, 2010"
 ]
}

 The dataset includes 733 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187868-200613084148143/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.cc2cmtzt
title: CCDC 2193807: Experimental Crystal Structure Determination

description: Related Article: Fen Long, Kai Jiang, Weiwei Song, Wenkun Luo, Biaolin Yin|2024|Org.Lett.|26|1083|doi:10.1021/acs.orglett.3c04345
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.cc2cmv0w
title: CCDC 2193808: Experimental Crystal Structure Determination

description: Related Article: Fen Long, Kai Jiang, Weiwei Song, Wenkun Luo, Biaolin Yin|2024|Org.Lett.|26|1083|doi:10.1021/acs.orglett.3c04345
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.cc2cmv73
title: CCDC 2193815: Experimental Crystal Structure Determination

description: Related Article: Fen Long, Kai Jiang, Weiwei Song, Wenkun Luo, Biaolin Yin|2024|Org.Lett.|26|1083|doi:10.1021/acs.orglett.3c04345
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.hbfdhl
title: Occurrence Download

description: A dataset containing 248 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centropus rectunguis Strickland, 1847"
 ]
}

 The dataset includes 248 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019508-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpqn7r
title: Occurrence Download

description: A dataset listing the 271373 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is The New York Botanical Garden Herbarium (NY)"
 ]
}

 The dataset's 271373 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0153906-200613084148143/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.cc2dbrfy
title: CCDC 2214870: Experimental Crystal Structure Determination

description: Related Article: Lijie Lv, Jia Zheng, Yijie Xiao, Dan Ni, Zhangshun Luo, Yunyun Gao, Yue Wei, Yi He, Shenyou Nie|2024|Org.Lett.|26|4212|doi:10.1021/acs.orglett.4c01050
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.cc2dbrgz
title: CCDC 2214871: Experimental Crystal Structure Determination

description: Related Article: Lijie Lv, Jia Zheng, Yijie Xiao, Dan Ni, Zhangshun Luo, Yunyun Gao, Yue Wei, Yi He, Shenyou Nie|2024|Org.Lett.|26|4212|doi:10.1021/acs.orglett.4c01050
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.usbbul
title: Occurrence Download

description: A dataset containing 741857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Dactylis glomerata L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 741857 records from 955 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019509-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnkwhp
title: Occurrence Download

description: A dataset containing 1262 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vanilla planifolia Andrews"
 ]
}

 The dataset includes 1262 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001501-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sj9y3f
title: Occurrence Download

description: A dataset containing 9268 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ornithorhynchus anatinus (Shaw, 1799)"
 ]
}

 The dataset includes 9268 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019510-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usmvez
title: Occurrence Download

description: A dataset containing 15029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Emberiza aureola Pallas, 1773"
 ]
}

 The dataset includes 15029 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048793-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zadmj4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.02050399278204 -41.81897984971378,-74.01182119667195 -41.81897984971378,-74.01182119667195 -41.81029705360368,-74.02050399278204 -41.81029705360368,-74.02050399278204 -41.81897984971378))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lontra felina (Molina, 1782)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187892-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93tuq6
title: Occurrence Download

description: A dataset containing 2809 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Sacciolepis indica (L.) Chase"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2809 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019510-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvfzxm
title: Occurrence Download

description: A dataset containing 184019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "Year 1999-2021"
 ]
}

 The dataset includes 184019 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187886-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1131231.10fu
title: SH1131231.10FU

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/sh1131232.10fu
title: SH1131232.10FU

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/sh1131233.10fu
title: SH1131233.10FU

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/sh1131234.10fu
title: SH1131234.10FU

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/sh1131235.10fu
title: SH1131235.10FU

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/sh1131237.10fu
title: SH1131237.10FU

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/sh1131238.10fu
title: SH1131238.10FU

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/sh1131239.10fu
title: SH1131239.10FU

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/sh1131240.10fu
title: SH1131240.10FU

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.