cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/whit-c170-41313
title: Russian dancers for Christmas pageant, Southern California, 1931

description: 4 photographs of Russian dancers dancing, Southern California, 1931. "Subject: Russian dancers for Xmas[sic] pageant, Pecan playground; Client: L[os] A[ngeles] playground dep[artmen]t; Original Print Order: 1 ea[ch]; Size: 8x10, 5x7; Finish: gl[ossy], dull; Re-order: 1#1; Job: 12-12-93; Year: 1931" -- on envelope front. "Operator's Report (Name): Joe; Original Photographs-Size: 3-8x10; Amount: 3.00; Extra Charges: Friedman" -- on envelope back.
DOI: 10.15468/dl.u6ur5b
title: Occurrence Download

description: A dataset containing 3241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sitta pygmaea Vigors, 1839",
 "HasCoordinate is True",
 "Country is United States of America",
 "Year is greater than or equal to 1999",
 "Year is less than or equal to 2001",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False",
 "DecimalLatitude is greater than or equal to 24.5",
 "DecimalLatitude is less than or equal to 49.5",
 "DecimalLongitude is greater than or equal to -125.0",
 "DecimalLongitude is less than or equal to -66.5"
 ]
}

 The dataset includes 3241 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0376591-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-111511
title: Rancho Santa Anita, (Lucky) Baldwin, Los Angeles County, Calif., 1938

description: 18 photographs of Rancho Santa Anita, Los Angeles County, 1938. Negative no. 13 has a sign tacked to a "Log Cabin" with the following text: "In the early 1880s E.J. Baldwin had this log cabin transported from his father's farm in Hamilton Indiana, where he spent his early boyhood, to Rancho Santa Anita." In negatives no. 5 and 13 there is a sign with text reading, "Final Resting Ground of American Derby winners owned by E. J. Baldwin," with a list of horses named Volante, Silver Cloud, Emperor of Norfolk, and Rey el Santa Anita, and the dates they won the race. Below that is written, "No other horse breeder ever owned more than one American derby winner. E. J. Baldwin bred and owned [?]. The Baldwin colors were red and black with the now famous Maltese cross." Next to the sign is a large Maltese cross as a monument.
DOI: 10.25549/whit-c170-41286
title: County Hospital, Newberry Electric Co., Los Angeles, CA, 1931

description: 4 photographs of electric switchgear, Los Angeles, CA, 1931. "Subject: County Hospital; Client: Newberry Electric Co.; Original print order: 1 ea[ch]; Size: 8 1/2x11; Finish: linen; Year: 1931; Job: 12-28-170" -- on envelope front. "Operator's report: Frank; Original photographs: 4; Size: 8 1/2x11 linen; Ounces of flash powder: 2; Amount: 5 00, 1.70" -- on envelope back.
DOI: 10.15468/dl.2psog9
title: Occurrence Download

description: A dataset containing 26032 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nyctalus noctula (Schreber, 1774)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Geometry POLYGON((-12.832031 61.489154,-13.535156 35.116319,0.878906 36.541424,5.976562 38.493159,12.304687 37.244328,16.875 34.539147,28.476562 34.249049,25.839843 39.720713,36.5625 44.915031,38.847656 47.112013,40.78125 48.991756,40.78125 72.138726,9.492187 71.142358,-12.832031 61.489154))",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Machine Observation"
 ]
 },
 "EventDate is greater than or equal to 1950-01-01"
 ]
}

 The dataset includes 26032 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000820-150211104439307/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-111346
title: Fall scenes in Expo. Park, Los Angeles, Calif., 1938

description: 9 photographs of streets, automobiles, and trees shedding their leaves, Los Angeles, California, 1938 November.
DOI: 10.15468/dl.lhtu3w
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nocticolidae",
 "DatasetKey is Lund University Biological Museum - Insect collections Inventory"
 ]
}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000820-150221044754056/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-41534
title: New trucks (white), Southern California, 1933

description: 4 photographs of new trucks, Southern California, 1933. "Subject: New Trucks (white); Client: White Truck Co., Mr. Knapp; Original Print Order: 1 ea[ch]; Size: 8x10; Finish: gl[ossy]; Re-order: 2#4, 5#3; Year: 1933; Job: 5-12-76" -- on envelope front. "Operator's Report Name: Henry; 4 Original Photographs-Size: 8x10; Amount: 7.50" -- on envelope back.
DOI: 10.25549/whit-c170-39647
title: United States Forest Service trucks, Los Angeles, CA, 1932

description: 3 photographs of United States Forest Service trucks, Los Angeles, CA, 1932. "Subject: U[nited] S[tates] Forest Service trucks; Client: Crown Body; Original Print Order: 1 ea[ch]; Size: 8x10; Finish: gl[ossy]; Mount: linen 8", title; Re-order: 2#2, 1 ea[ch] 2, 3, 1 ea[ch]; Year: 1932; Job: 27-18-91" -- on envelope front. "Operator's Report Name: Frank; 3 Original Photographs-Size: 8x10 linen 8"; Amount: 3.30" -- on envelope back.
DOI: 10.15468/dl.kcxnvr
title: Occurrence Download

description: A dataset containing 2533 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Acacia mangium Willd.)"
 ]
}

 The dataset includes 2533 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004969-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12770046
title: DEM and associated kinematic GPS coordinates of September 2009 survey of the salar de Uyuni, Bolivia

description: This dataset consists of two parts:  1) the post-processed kinematic GPS coordinates of a September 2009 survey of a 45 x 54 km region of the salar de Uyuni, Bolivia.  2) a digital elevation model (DEM) of the salar de Uyuni surface derived from those kinematic GPS data.

Details of the survey design are identical to that from an earlier survey in 2002 and can be found in the manuscript, "Topography of the salar de Uyuni, Bolivia from kinematic GPS" (doi: 10.1111/j.1365-246X.2007.03604.x).  The DEM is described in the manuscript "A Terrestrial Validation of ICESat Elevation Measurements and Implications for Gloval Reanalysis" (doi: 10.1109/TGRS.2019.2909739). The DEM was generated from fitting two-dimensional Fourier basis set with parameters: L_x = L_y = 70000 meters, m = n = 10.  This results in a basis set with a nominal resolution of 7 km.
DOI: 10.5281/zenodo.12770045
title: DEM and associated kinematic GPS coordinates of September 2009 survey of the salar de Uyuni, Bolivia

description: This dataset consists of two parts:  1) the post-processed kinematic GPS coordinates of a September 2009 survey of a 45 x 54 km region of the salar de Uyuni, Bolivia.  2) a digital elevation model (DEM) of the salar de Uyuni surface derived from those kinematic GPS data.

Details of the survey design are identical to that from an earlier survey in 2002 and can be found in the manuscript, "Topography of the salar de Uyuni, Bolivia from kinematic GPS" (doi: 10.1111/j.1365-246X.2007.03604.x).  The DEM is described in the manuscript "A Terrestrial Validation of ICESat Elevation Measurements and Implications for Gloval Reanalysis" (doi: 10.1109/TGRS.2019.2909739). The DEM was generated from fitting two-dimensional Fourier basis set with parameters: L_x = L_y = 70000 meters, m = n = 10.  This results in a basis set with a nominal resolution of 7 km.

The attached "salar_de_uyuni_2009_dem" files duplicate Figure 1 from the authors' "A terrestrial validation of ICESat elevation measurements and implications for global reanalyses," whose caption is: 

Landsat image of the salar de Uyuni, showing ICESat tracks 85, 241, 360 and 1320 (red) and the GPS-derived DEM from 2009 (color-coded with respect to mean elevation). The portion of each track plotted in Figure 2 is boxed in black. Total relief on the GPS DEM is less than 1 m over 50 km.
DOI: 10.5281/zenodo.15207901
title: DEM and associated kinematic GPS coordinates of September 2009 survey of the salar de Uyuni, Bolivia

description: This dataset consists of two parts:  1) the post-processed kinematic GPS coordinates of a September 2009 survey of a 45 x 54 km region of the salar de Uyuni, Bolivia.  2) a digital elevation model (DEM) of the salar de Uyuni surface derived from those kinematic GPS data.

Details of the survey design are identical to that from an earlier survey in 2002 and can be found in the manuscript, "Topography of the salar de Uyuni, Bolivia from kinematic GPS" (doi: 10.1111/j.1365-246X.2007.03604.x).  The DEM is described in the manuscript "A Terrestrial Validation of ICESat Elevation Measurements and Implications for Gloval Reanalysis" (doi: 10.1109/TGRS.2019.2909739). The DEM was generated from fitting two-dimensional Fourier basis set with parameters: L_x = L_y = 70000 meters, m = n = 10.  This results in a basis set with a nominal resolution of 7 km.

The attached "salar_de_uyuni_2009_dem" files duplicate Figure 1 from the authors' "A terrestrial validation of ICESat elevation measurements and implications for global reanalyses," whose caption is: 

Landsat image of the salar de Uyuni, showing ICESat tracks 85, 241, 360 and 1320 (red) and the GPS-derived DEM from 2009 (color-coded with respect to mean elevation). The portion of each track plotted in Figure 2 is boxed in black. Total relief on the GPS DEM is less than 1 m over 50 km.
DOI: 10.15468/dl.xnpjjx
title: Occurrence Download

description: A dataset containing 1873595876 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2014-2024"
 ]
}

 The dataset includes 1873595876 records from 37285 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025866-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14591033
title: Data for "Evaluating Global Machine Learning Models for Tropical Cyclone Dynamics and Thermodynamics"

description: This dataset supports the paper "Evaluating Global Machine Learning Models for Tropical Cyclone Dynamics and Thermodynamics" and includes:

Cyclone Track Data



File: TCs_basin_data.xlsx

Description: Includes cyclone track data from observations and model outputs (NCEP, UKMO, GraphCast, PanguWeather, FourCastNet v2, ERA5).


* WMO_WIND is in knots, others are in m/s.
DOI: 10.5281/zenodo.14591032
title: Data for "Evaluating Global Machine Learning Models for Tropical Cyclone Dynamics and Thermodynamics"

description: This dataset supports the paper "Evaluating Global Machine Learning Models for Tropical Cyclone Dynamics and Thermodynamics" and includes:

Cyclone Track Data



File: TCs_basin_data.xlsx

Description: Includes cyclone track data from observations and model outputs (NCEP (GFS), UKMO (UM),IFS, Aurora,GraphCast, PanguWeather, FourCastNet v2, ERA5).


* WMO_WIND is in knots, others are in m/s.
DOI: 10.5281/zenodo.15036304
title: Data for "Evaluating Global Machine Learning Models for Tropical Cyclone Dynamics and Thermodynamics"

description: This dataset supports the paper "Evaluating Global Machine Learning Models for Tropical Cyclone Dynamics and Thermodynamics" and includes:

Cyclone Track Data



File: TCs_basin_data.xlsx

Description: Includes cyclone track data from observations and model outputs (NCEP (GFS), UKMO (UM),IFS, Aurora,GraphCast, PanguWeather, FourCastNet v2, ERA5).


* WMO_WIND is in knots, others are in m/s.
DOI: 10.15468/dl.6yduh4
title: Occurrence Download

description: A dataset containing 67897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Geometry POLYGON((-96.87194 21.6942,-65.82388 21.6942,-65.82388 47.54168,-96.87194 47.54168,-96.87194 21.6942))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acer saccharinum L."
 ]
}

 The dataset includes 67897 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011197-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4hgdp
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (New Zealand)",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Octochaetus multiporus (Beddard, 1885))"
 ]
}

 The dataset includes 68 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011211-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8bz9qd
title: Occurrence Download

description: A dataset containing 2288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chenopodium quinoa Willd."
 ]
}

 The dataset includes 2288 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011212-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unepwh
title: Occurrence Download

description: A dataset containing 15451021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (New Zealand)",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
}

 The dataset includes 15451021 records from 1610 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011199-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/abf-tsf-e3a
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qhc-4j2-ww1
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.srfcjr
title: Occurrence Download

description: A dataset containing 65311 records in GBIF matching the query:

SELECT
 GBIF_EEARGCode(
 10000,
 decimalLatitude,
 decimalLongitude,
 0
 ) AS cellcode,
 COUNT(*) FROM occurrence
WHERE occurrenceStatus = 'PRESENT'
 AND countryCode = 'DE'
 AND hasCoordinate = TRUE
 AND (coordinateUncertaintyInMeters &lt;= 10000 OR coordinateUncertaintyInMeters IS NULL)
 AND speciesKey IS NOT NULL
 AND "year" &gt;= 2000
 AND "year" &gt;= 2000
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND basisofrecord = 'HUMAN_OBSERVATION' OR basisofrecord = 'MACHINE_OBSERVATION' OR basisofrecord = 'OBSERVATION'
GROUP BY cellcode


 The dataset's 65311 records were derived from 3111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004100-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1102708.10fu
title: SH1102708.10FU

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/sh1102710.10fu
title: SH1102710.10FU

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/sh1102712.10fu
title: SH1102712.10FU

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/sh1102714.10fu
title: SH1102714.10FU

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/sh1102715.10fu
title: SH1102715.10FU

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/sh1102718.10fu
title: SH1102718.10FU

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.