cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kepa2x
title: Occurrence Download

description: A dataset containing 4132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.61186 -0.95175,-77.77503 -0.8756,-77.9926 -0.91186,-78.05062 -1.10767,-78.13402 -1.25634,-78.43498 -1.0569,-78.67068 -0.99164,-78.71419 -1.15118,-78.81935 -1.46303,-78.73958 -1.62258,-78.46762 -1.69147,-78.05062 -1.71686,-77.7569 -1.52105,-77.61911 -1.20558,-77.61186 -0.95175))",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 4132 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015097-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8g6979
title: Occurrence Download

description: A dataset containing 140887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eurytetranychus buxi (Garman, 1935), Monarthropalpus flavus (Schrank, 1776), Puccinia buxi Sowerby, Cylindrocladium buxicola Henricot, Hyponectria buxi (Alb. & Schwein.) Sacc., Pseudonectria rousseliana (Mont.) Wollenw., Chaetopsina fulva Rambelli, Diplodia buxi Fr., Actinocladium rhodosporum Ehrenb., Melanopsammella inaequalis (Grove) Höhn., Blennoria buxi Fr., Gibberella buxi (Fuckel) G.Winter, Microthyrium macrosporum (Sacc.) Höhn., Mycosphaerella buxicola (DC.) Tomilin, Microthyrium ciliatum var. hederae J.P.Ellis, Pachnocybe albida (Fr.) Berk., Sporidesmiella parva (M.B.Ellis) P.M.Kirk, Rosellinia buxi Fabre, Brachysporium britannicum S.Hughes, Marasmius buxi Fr., Peniophora boidinii D.A.Reid, Pluteus podospileus Sacc. & Cub., Peniophora proxima Bres., Polyporus tuberaster (Jacq. ex Pers.) Fr., Phlebiella pseudotsugae (Burt) K.H.Larss. & Hjortstam, Stypella crystallina (D.A.Reid) P.Roberts, Stypella legonii P.Roberts, Guignardia miribelii Aa, Sporidesmium altum (Preuss) M.B.Ellis, Nectria desmazieri De Not. & Becc., Kirschsteiniothelia aethiops (Sacc.) D.Hawksw., Hyphodontia rimosissima (Peck) Gilb., Dothiorella candollei (Berk. & Broome) Petr., Phomopsis stictica (Berk. & Broome) Traverso, Sporidesmium adscendens Baerkeley, Hymenochaete corrugata (Fr.) Lév., Suttoniella arnaudii Hoyo & Gómez-Bolea, Eriophyes canestrinii (Nalepa, 1891), Andrena marginata Fabricius, 1776, Nectopsyche tavara (Ross, 1944), Sinotaia aeruginosa (Reeve, 1863), Planorbarius corneus (Linnaeus, 1758), Phoebis philea (Linnaeus, 1763), Phoebis argante argante, Nomia ellioti Smith, 1875, Euploea core core, Pareronia ceylanica (Felder & Felder, 1865), Papilio liomedon Moore, 1874, Abaeis nicippe (Cramer, 1779), Phoebis sennae (Linnaeus, 1758))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 140887 records from 947 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015101-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62dvut
title: Occurrence Download

description: A dataset containing 29550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Momotus mexicanus Swainson, 1827"
 ]
}

 The dataset includes 29550 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015102-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00001.01456
title: Multi-hazard and multi-source spatio-temporal datasets in the upper reaches of the Yellow River from 2015 to 2024
title: 2015-2024年黄河上游崩滑流灾害多源时空数据集

description: This article selects some counties and cities in Qinghai Province as the research area, and collects remote sensing image data (including Sentinel-1, Sentinel-2, Landsat-5, Landsat-7, Landsat-8, Landsat-9, and digital elevation images) of typical landslide events from 2015 to 2024 (such as the landslide event in Siluxiao Village, Laga Town, Maqin County, Qinghai Province on August 30, 2017, and the debris flow event at Mahetan Hydropower Station in Guinan County, Qinghai Province on July 10, 2016), the disaster situation of the affected area, the specific location of the disaster, the social development status, and the land use type map in the research area. By integrating the above multi-source information and extracting remote sensing image metadata, a list of remote sensing image metadata and a list of basic information of geological disasters caused by landslides in the upper reaches of the Yellow River from 2015 to 2024 were obtained, both presented in the form of tables. At the same time, a disaster scatter map was generated by integrating multi-source information such as image metadata, disaster situation, and disaster location 
description: This article selects some counties and cities in Qinghai Province as the research area, and collects remote sensing image data (including Sentinel-1, Sentinel-2, Landsat-5, Landsat-7, Landsat-8, Landsat-9, and digital elevation images) of typical landslide events from 2015 to 2024 (such as the landslide event in Siluxiao Village, Laga Town, Maqin County, Qinghai Province on August 30, 2017, and the debris flow event at Mahetan Hydropower Station in Guinan County, Qinghai Province on July 10, 2016), the disaster situation of the affected area, the specific location of the disaster, the social development status, and the land use type map in the research area. By integrating the above multi-source information and extracting remote sensing image metadata, a list of remote sensing image metadata and a list of basic information of geological disasters caused by landslides in the upper reaches of the Yellow River from 2015 to 2024 were obtained, both presented in the form of tables. At the same time, a disaster scatter map was generated by integrating multi-source information such as image metadata, disaster situation, and disaster location
DOI: 10.15468/dl.hhdc9r
title: Occurrence Download

description: A dataset containing 1818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus Latreille, 1802",
 "Year 2000-2025"
 ]
}

 The dataset includes 1818 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015103-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5245u
title: Occurrence Download

description: A dataset containing 5837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spodoptera frugiperda J.E.Smith, 1797",
 "Year 1992-2022"
 ]
}

 The dataset includes 5837 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015104-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tfsf9
title: Occurrence Download

description: A dataset containing 35480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Papilio polymnestor Cramer, 1775, Megachile disjuncta (Fabricius, 1781), Megachile bicolor (Fabricius, 1781), Meloidogyne enterolobii Yang & Eisenback, 1983, Melanacanthus margineguttatus Distant, 1911, Creontiades pacificus (Stal, 1859), Clavaspis herculeana (Doane & Hadden, 1909), Pseudaletis clymenus Druce, Cyclyrius mandersi (Druce, 1907), Metacanthus pulchellus Dallas, 1852, Catochrysops panormus (Felder, 1860), Euchrysops malathana (Boisduval, 1833), Urbanus dorantes (Stoll, 1790), Heterodera cajani Koshy, 1967, Uresiphita polygonalis (Denis & Schiffermüller), 1775, Antheua simplex Walker, 1855, Phodoryctis caerulea (Meyrick, 1912), Mononychellus planki (McGregor, 1950), Digama hearseyana Moore, 1859, Anarsia omoptila Meyrick, 1918, Dichomeris exallacta (Meyrick, 1923), Comibaena integranota Hampson, 1893, Prasinocyma pictifimbria Warren, 1904, Suana concolor (Walker, 1855), Thosea aperiens (Walker, 1865), Bracharoa quadripunctata Wallengren, 1875, Orvasca subnotata Walker, 1865, Etiella behrii (Zeller, 1848), Lamprosema niphealis Walker, 1859, Nudaurelia gueinzii Staudinger, 1872, Aegerina silvai (Köhler, 1953), Synanthedon orientalis Heppner & Duckworth, 1981, Matsumuraeses melanaula (Meyrick, 1916), Euproctis dewitzi Grünberg, 1907, Ancylostomia stercorea Zeller, 1848, Tautoneura prima Dworakowska, 1979, Distantasca faciata Dworakowska, 1972, Tautoneura ficaria Dworakowska, 1984, Distantasca tna (Dworakowska, 1980), Qadria cajanae (Ahmed, 1971), Caloptilia soyella (van Deventer, 1904), Matsumurasca obliqua (Caldwell, 1952), Antillormenis contaminata (Uhler, 1895), Matsumurasca insularis (Oman, 1936), Hebata kerri (Singh-Pruthi, 1940), Hebata motti (Singh-Pruthi, 1940), Hortensia similis (Walker, 1851), Opogona omoscopa (Meyrick, 1893), Stauropus alternus Walker, 1855, Adoxophyes privatana (Walker, 1863))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35480 records from 276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015108-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10403498
title: GlobalHighPM2.5 (2017)

description: Here is the first big data-derived gapless (spatial coverage = 100%) daily, monthy, and annual 1 km (i.e., D1K, M1K, and Y1K) global PM2.5 dataset over land for the year 2017. This dataset yields a high quality with a cross-validation coefficient of determination (CV-R2) of 0.91 and an root-mean-square error (RMSE) of 9.20 μg/m3 on the daily basis.

If you use the GlobalHighPM2.5 dataset for related scientific research, please cite the below-listed corresponding reference (Wei et al., NC, 2023):





Wei, J., Li, Z., Lyapustin, A., Wang, J., Dubovik, O., Schwartz, J., Sun, L., Li, C., Liu, S., and Zhu, T. First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact. Nature Communications, 2023, 14, 8349. https://doi.org/10.1038/s41467-023-43862-3



More air quality datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html
DOI: 10.15468/dl.8wuapu
title: Occurrence Download

description: A dataset containing 1206203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-03-27",
 "EventDate is less than or equal to 2025-04-26",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 1206203 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015109-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9v7yc
title: Occurrence Download

description: A dataset containing 560424 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oryza sativa L."
 ]
}

 The dataset includes 560424 records from 530 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015105-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1259329.10fu
title: SH1259329.10FU

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/sh1259333.10fu
title: SH1259333.10FU

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/sh1259335.10fu
title: SH1259335.10FU

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/sh1259337.10fu
title: SH1259337.10FU

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/sh1259338.10fu
title: SH1259338.10FU

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/sh1259340.10fu
title: SH1259340.10FU

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/sh1259343.10fu
title: SH1259343.10FU

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/sh1259344.10fu
title: SH1259344.10FU

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/sh1259346.10fu
title: SH1259346.10FU

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/sh1259347.10fu
title: SH1259347.10FU

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.