cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc9f5mh
title: CCDC 280786: Experimental Crystal Structure Determination

description: Related Article: J.Cugny, H.W.Schmalle, T.Fox, O.Blacque, M.Alfonso, H.Berke|2006|Eur.J.Inorg.Chem.|2006|540|doi:10.1002/ejic.200500721
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/cc9f5nj
title: CCDC 280787: Experimental Crystal Structure Determination

description: Related Article: J.Cugny, H.W.Schmalle, T.Fox, O.Blacque, M.Alfonso, H.Berke|2006|Eur.J.Inorg.Chem.|2006|540|doi:10.1002/ejic.200500721
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/cc9f5pk
title: CCDC 280788: Experimental Crystal Structure Determination

description: Related Article: J.Cugny, H.W.Schmalle, T.Fox, O.Blacque, M.Alfonso, H.Berke|2006|Eur.J.Inorg.Chem.|2006|540|doi:10.1002/ejic.200500721
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/cc996vm
title: CCDC 276980: Experimental Crystal Structure Determination

description: Related Article: A.Goswami, Yong Nie, T.Oeser, W.Siebert|2006|Eur.J.Inorg.Chem.|2006|566|doi:10.1002/ejic.200500787
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: 10.13140/rg.2.2.26009.21600
title: Dataset for Chapter 6 of Modeling the Habitat and Spread of the Eastern Fox Squirrel and its Impacts on the Western Gray Squirrel in California, Western Gray Squirrel in United States, Modern Data
DOI: 10.13140/rg.2.2.21080.90880
title: Brief text of lecture in NUMGRID 2016 conference
DOI: 10.13140/rg.2.2.11722.36806
title: Ralstonia pickettii strain MRL-AN2 16S ribosomal RNA gene, partial sequence.
DOI: 10.15468/dl.7jwmqd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cynosurus coloratus",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019205-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2255551624
title: Test tensile machine on sample stage for MA6894

description: Mounting test
DOI: 10.34965/i60507
title: 20199083
DOI: 10.7910/dvn/a75u8r
title: Replication Files: Silencing the Rails: A Study of the Noise-Safety Trade-off in Railway Quiet Zones

description: Railway quiet zones substitute train horns for alternative safety measures at railway crossings to mitigate noise pollution. This paper examines the trade-off between safety and noise mitigation by using a quasi-experimental research design to estimate the impact of quiet zone establishment on railway accidents and property values. I find that quiet zones are associated with a 1.27 times higher annual accident rate at railway crossings, which significantly increase fatalities and injuries, while property values near railway crossings increase by 11.07% following quiet zone establishment. A welfare analysis suggests that the housing price capitalization of reduced noise pollution exceeds the safety costs.
DOI: 10.15468/dl.b79tus
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008471-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mz3nil
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041801-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2urjn2
title: Occurrence Download

description: A dataset containing 930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gopherus agassizii (Cooper, 1861)"
 ]
}

 The dataset includes 930 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261520-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fstnk4
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041689-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j0ajtp
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008489-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aakqun
title: Occurrence Download

description: A dataset containing 360 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carijoa riisei (Duchassaing & Michelotti, 1860)"
 ]
}

 The dataset includes 360 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261531-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wx23h6
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053771-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucfq57
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008503-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hn9sx
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041687-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dlcxwn
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008528-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uar65f
title: Occurrence Download

description: A dataset containing 129061268 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-13.18359 -46.75781,131.30859 -46.75781,131.30859 39.375,-13.18359 39.375,-13.18359 -46.75781))"
 ]
}

 The dataset includes 129061268 records from 9089 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275930-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1413139.10fu
title: SH1413139.10FU

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/sh1413142.10fu
title: SH1413142.10FU

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/sh1413147.10fu
title: SH1413147.10FU

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/sh1413150.10fu
title: SH1413150.10FU

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/sh1413152.10fu
title: SH1413152.10FU

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/sh1413156.10fu
title: SH1413156.10FU

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/sh1413158.10fu
title: SH1413158.10FU

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/sh1413159.10fu
title: SH1413159.10FU

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: 10.5255/ukda-sn-9477-1
title: Scottish Election Study, 2024
title: SES 2024

description:   &lt;p&gt;The wider 2021-2025 &lt;span style="font-style: italic;"&gt;Scottish Election Study&lt;/span&gt; (SES) project was carried out as a collaboration between the University of Edinburgh, University of Glasgow, University of Essex, and Royal Holloway, University of London. Professor Ailsa Henderson served as Principal Investigator, with Professors Rob Johns, Christopher Carman, and Christopher Hanretty serving as Co-Investigators. Dr Fraser McMillan and Dr Jac Larner served as Research Associates. The wider 2021-2025 &lt;span style="font-style: italic;"&gt;Scottish Election Study&lt;/span&gt; project, including all survey data collection, is funded by the Economic and Social Research Council. Henderson, McMillan, Larner, Johns and Carman designed the 2024 survey instrument.&lt;/p&gt;&lt;p&gt;The 2024 data were collected as a two-wave panel in collaboration with YouGov. The surveys were fielded as online self-completion questionnaires via quota sampling. &lt;/p&gt;&lt;p&gt;Further information is available on the &lt;a href="https://scottishelections.ac.uk/2024/" target="_blank"&gt;Scottish Election Study website&lt;/a&gt;.&lt;/p&gt;
DOI: 10.15468/dl.f84yrk
title: Occurrence Download

description: A dataset containing 72401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cypripedium calceolus",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 72401 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024646-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7z8e2u
title: Occurrence Download

description: A dataset containing 306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Croatia, Bosnia and Herzegovina, Slovenia, Montenegro)",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco naumanni"
 ]
}

 The dataset includes 306 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024664-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mndf9
title: Occurrence Download

description: A dataset containing 650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Locality is Maisdon-sur-Sèvre",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 650 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024666-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e239928
title: Battery Energy Storage System (BESS) Market: Industry Outlook and Growth Forecast

description: The global Battery Energy Storage System (BESS) Market was valued at USD
44.17 billion in 2024 and is expected to reach USD 52.73 billion by the end of
2025. The market is projected to grow significantly, reaching USD 127.92
billion by 2030, with a compound annual growth rate (CAGR) of 19.39% from 2025
to 2030. Market growth is driven by accelerating renewable energy adoption,
grid modernization, proliferation of electric vehicles (EVs), and expansion of
smart infrastructure.<br><br>For more information visit: https://www.nextmsc.com/report/battery-energy-storage-system-market-ep3622
DOI: 10.15468/dl.fpd3z2
title: Occurrence Download

description: A dataset containing 131886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-8.71023 41.18697,-8.69803 41.14246,-8.6695 41.13804,-8.58602 41.13137,-8.56756 41.13453,-8.55749 41.15159,-8.54826 41.16928,-8.55246 41.19581,-8.56672 41.20654,-8.60449 41.20781,-8.64057 41.20781,-8.67162 41.20086,-8.71023 41.18697))",
 "HasGeospatialIssue is false",
 "Year 2021-2025"
 ]
}

 The dataset includes 131886 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024647-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.