cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7803/202.11.1.1.10
title: BIBB-Übergangsstudie 2011 (SUF)
title: BIBB Transition Survey 2011 (SUF)

description: Hauptdatensätze
description: Studie zu Bildungswegen und Berufsbiographien von jungen Erwachsenen der Geburtsjahrgänge 1987 bis 1993 im Jahr 2011. Die Forschungsdaten bestehen aus einem Querschnitt- und einen Ereignisdatensatz.
description: Telephone interview: CATI
description: alle Jugendlichen und jungen Erwachsenen der Geburtsjahrgänge 1987 bis 1993, die zum Befragungszeitpunkt ihren Wohnsitz in Deutschland hatten
description: ADM-Auswahlgrundlage Mobilfunk
DOI: 10.7803/202.11.1.5.10
title: BIBB-Übergangsstudie 2011 (SV)
title: BIBB Transition Survey 2011 (SV)

description: Nebendatensatz: Sondervariablen
description: Studie zu Bildungswegen und Berufsbiographien von jungen Erwachsenen der Geburtsjahrgänge 1987 bis 1993 im Jahr 2011. Die Forschungsdaten bestehen aus einem Querschnitt- und einen Ereignisdatensatz.
description: Telephone interview: CATI
description: alle Jugendlichen und jungen Erwachsenen der Geburtsjahrgänge 1987 bis 1993, die zum Befragungszeitpunkt ihren Wohnsitz in Deutschland hatten
description: ADM-Auswahlgrundlage Mobilfunk
DOI: 10.60600/yu/clawet/tincyj
title: 1105.wav

description: :unav
DOI: 10.60600/yu/clawet/oapxtj
title: 1315.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/n7ggas
title: 1521.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/hzick3
title: 1282.wav

description: :unav
DOI: 10.6084/m9.figshare.26073796
title: Macrobrachium_rosenbergii_genome

description: Here we constructed a high-quality reference genome for <i>M. rosenbergii</i> by using Nanopore, Illumina, and high-throughput chromosome conformation capture (Hi-C) technologies. The final genome size is 3.18 Gb, with the scaffold N50 and contig N50 of 62.73 Mb and 8.92 Mb, respectively. Approximately 98.6% of assembled sequence were anchored into 59 pseudo-chromosomes. Benchmarking Universal Single-Copy Orthologs (BUSCO) benchmark of genome assembly reached 94.5%. Repetitive sequences comprise 43.77% of the assembled genome, and 17,436 protein-coding genes were annotated. The high-quality genome of<i> M. rosenbergii</i> will empower molecular breeding efforts and provide invaluable resources for comparative genomic analysis of decapod species.
DOI: 10.60600/yu/clawet/m35bvc
title: 1286.TextGrid

description: :unav
DOI: 10.15468/dl.sm7763
title: Occurrence Download

description: A dataset containing 136465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Colchicum autumnale L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 136465 records from 823 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092033-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwcy39
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinopterygii",
 "Year is 2021"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007338-250426092105405/datasets/export for details.
DOI: 10.15468/dl.hkc34e
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Escontria Rose"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007337-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15307240
title: Spatial Patterns of Sandy Beaches in China and Risk Analysis of Human Infrastructure Squeeze Based on Multi-Source Data and Ensemble Learning

description: Sandy beaches provide essential ecological and economic services, but their functions are increasingly threatened by human activities. Analyzing the spatial distribution of China's sandy beaches and the impacts of human activities offers valuable insights for coastal resource management and ecological protection. However, remote sensing technologies face challenges such as limited data sources and tidal influences, which affect recognition accuracy. Therefore, integrating multi-source remote sensing data and reducing the impact of tidal fluctuations to improve recognition accuracy remains a key challenge. This study proposes an innovative approach utilizing multi-source data and an ensemble learning model to identify sandy beaches in China (2016–2023). By integrating Sentinel-1/2 satellite data, terrain data, and nighttime light data, along with spectral, terrain, texture, and polarization features, sandy beaches were identified across multiple years, and the results were consolidated into a single-year dataset to analyze spatial patterns and risks from human infrastructure squeeze. (1) High-precision classification identified 2984 sandy beaches in China, covering a total area of 260.70 km². Guangdong had the largest number, area, and perimeter, while Shanghai had the widest sandy beaches. (2) In Fujian, Guangdong, and Taiwan, the identified sandy beaches covered 149.68 km², with perimeters of 5155.91 km and widths of 49.50 m, 32.83 m, and 50.70 m, respectively. These results were significantly better than those from reference datasets. (3) From 1990 to 2023, the area at risk from human infrastructure squeeze increased from 109.95 km² to 245.58 km², a rise of 135.63 km², with the most significant increase occurring between 1990 and 2000. Guangdong and Fujian showed growth rates of 1.05 km²/year and 0.73 km²/year, respectively. This study provides an up-to-date dataset on China's sandy beaches. It assesses their spatial patterns and human impact risks, contributing to research and policy for the sustainable development of coastal zones.
DOI: 10.15468/dl.chzumv
title: Occurrence Download

description: A dataset containing 1684942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oestodes tenuicollis (Randall, 1838), Dianthidium subparvum Swenk, 1914, Chrysops geminatus Wiedemann, 1828, Scelolyperus varipes (LeConte, 1857), Ischnus inquisitorius (Muller, 1776), Minoa murinata (Scopoli, 1763), Lygistopterus sanguineus (Linnaeus, 1758), Anageshna primordialis Dyar, 1906, Philanthus sanbornii Cresson, 1865, Nysius caledoniae Distant, 1920, Luperaltica nigripalpis (J.L.LeConte, 1859), Sapygina decemguttata (Jurine, 1807), Geron calvus Loew, 1863, Echinocerus floralis (Pallas, 1773), Pyrausta pseuderosnealis Munroe, 1976, Phasia campbelli (Miller, 1923), Odontomyia chloris (Walker, 1849), Leioproctus fulvescens (Smith, 1876), Nomada erigeronis Robertson, 1897, Dilophus nigrostigma, Aedes albopictus (Skuse, 1894), Chrysanthrax cypris (Meigen, 1820), Paranotoreas brephosata Walker, 1862, Collops tricolor (Say, 1823), Melanostoma fasciatum (Macquart, 1850), Nausigaster unimaculata Townsend, 1897, Idaea ochrata (Scopoli, 1763), Psilota decessum (Hutton, 1901), Trichodes apivorus Germar, 1824, Tharsalea editha, Typocerus acuticauda Casey, 1913, Occidryas colon (Edwards, 1881), Odontopus calceatus Say & T., 1831, Coenonympha california inornata, Tharsalea epixanthe, Chalcosyrphus piger (Fabricius, 1794), Trachysida mutabilis (Newman, 1841), Phasia aurulans Meigen, 1824, Hedychrum violaceum, Emesis wrighti (Holland, 1930), Chrysis ignita Linnaeus, 1761, Tharsalea rubidus (Behr, 1866), Cidnopus pilosus (Leske, 1785), Macrosiagon cruentum (Germar, 1824), Achillea millefolium L., Lasioglossum mataroa Donovan, 2007, Allograpta atkinsoni (Miller, 1921), Aotearomyia brevipalpis (Kröber, 1931), Agapostemon angelicus Cockerell, 1924, Hylaeus personatellus (Cockerell, 1915))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1684942 records from 5265 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016364-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1373568.10fu
title: SH1373568.10FU

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/sh1373570.10fu
title: SH1373570.10FU

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/sh1373573.10fu
title: SH1373573.10FU

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/sh1373574.10fu
title: SH1373574.10FU

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/sh1373575.10fu
title: SH1373575.10FU

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/sh1373576.10fu
title: SH1373576.10FU

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/sh1373577.10fu
title: SH1373577.10FU

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/sh1373578.10fu
title: SH1373578.10FU

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/sh1373579.10fu
title: SH1373579.10FU

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/cczsqk0
title: CCDC 917493: Experimental Crystal Structure Determination

description: Related Article: Jian Cao,Xian Huang,Luling Wu|2013|Chem.Commun.|49|7747|doi:10.1039/C3CC43640C
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/cczsqv9
title: CCDC 917502: Experimental Crystal Structure Determination

description: Related Article: Hao Xu, Jian-Ping Qu, Saihu Liao, Hu Xiong, Yong Tang|2013|Angew.Chem.,Int.Ed.|52|4004|doi:10.1002/anie.201300032
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/cczssbv
title: CCDC 917548: Experimental Crystal Structure Determination

description: Related Article: Hao Xu, Jian-Ping Qu, Saihu Liao, Hu Xiong, Yong Tang|2013|Angew.Chem.,Int.Ed.|52|4004|doi:10.1002/anie.201300032
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/cczsqwb
title: CCDC 917503: Experimental Crystal Structure Determination

description: Related Article: Hao Xu, Jian-Ping Qu, Saihu Liao, Hu Xiong, Yong Tang|2013|Angew.Chem.,Int.Ed.|52|4004|doi:10.1002/anie.201300032
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/cczss3m
title: CCDC 917541: Experimental Crystal Structure Determination

description: Related Article: Mohammad Hakimi, Zahra Mardani and Keyvan Moeini|2013|Orient.J.Chem.|29|181|doi:10.13005/ojc/290131
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/cczsrbt
title: CCDC 917517: Experimental Crystal Structure Determination

description: Related Article: Juan Jin, Fu-Quan Bai, Ming-Jun Jia, Yan-Ning Wang, Hong-Li Jia, Jie-Hui Yu, Ji-Qing Xu|2013|Dalton Trans.|42|8771|doi:10.1039/C3DT50411E
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/cczsrcv
title: CCDC 917518: Experimental Crystal Structure Determination

description: Related Article: Juan Jin, Fu-Quan Bai, Ming-Jun Jia, Yan-Ning Wang, Hong-Li Jia, Jie-Hui Yu, Ji-Qing Xu|2013|Dalton Trans.|42|8771|doi:10.1039/C3DT50411E
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/cczsr8r
title: CCDC 917515: Experimental Crystal Structure Determination

description: Related Article: Juan Jin, Fu-Quan Bai, Ming-Jun Jia, Yan-Ning Wang, Hong-Li Jia, Jie-Hui Yu, Ji-Qing Xu|2013|Dalton Trans.|42|8771|doi:10.1039/C3DT50411E
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/cczsr9s
title: CCDC 917516: Experimental Crystal Structure Determination

description: Related Article: Juan Jin, Fu-Quan Bai, Ming-Jun Jia, Yan-Ning Wang, Hong-Li Jia, Jie-Hui Yu, Ji-Qing Xu|2013|Dalton Trans.|42|8771|doi:10.1039/C3DT50411E
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.