cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.g7zagn
title: Occurrence Download

description: A dataset containing 1507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ARG, CHL, PRY, URY, FLK, BRA.21_1, BRA.16_1, BRA.24_1)",
 "TaxonKey is Phacelia Juss."
 ]
}

 The dataset includes 1507 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041522-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvx4uh
title: Occurrence Download

description: A dataset containing 11655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachemys scripta scripta)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 11655 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041523-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13119089
title: U-Pb-Th SHRIMP & LA-ICP-MS complementary data of "The bimodal Fii-A2-type and calc-alkaline volcanic sequence of the Aljustrel brownfield region, Iberian Pyrite Belt, SW Iberian Massif"

description: U-Pb-Th complementary  data of  "The bimodal Fii-A2-type and calc-alkaline volcanic sequence of the Aljustrel brownfield region, Iberian Pyrite Belt, SW Iberian Massif" https://doi.org/10.1016/j.chemer.2023.126049
DOI: 10.15468/dl.fxbg5j
title: Occurrence Download

description: A dataset containing 2024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachemys scripta troostii (Holbrook, 1836))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 2024 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041524-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2hv6e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachemys stejnegeri malonei (Barbour & Carr, 1938))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041525-240626123714530/datasets/export for details.
DOI: 10.15468/dl.jpvaea
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachemys stejnegeri stejnegeri)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 47 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041526-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h56exe
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (BOLD:ABV3227)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 79 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041527-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5287/ora-j0opvajo4
title: Photographs of archaeological cereal grains associated with: Hald et al. Farming during turbulent times: Agriculture, food crops, and manuring practices in Bronze Age to Viking Age Denmark. Journal of Archaeological Science: Reports

description: Photographs showing the internal and external morphology of archaeological barley grains from Denmark whose carbon and nitrogen isotope values are reported in Hald et al. Farming during turbulent times: Agriculture, food crops, and manuring practices in Bronze Age to Viking Age Denmark. Journal of Archaeological Science: Reports
DOI: 10.15468/dl.fur5n5
title: Occurrence Download

description: A dataset containing 2027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-118.95242 36.78815,-120.77963 43.20755,-124.32218 43.26189,-124.39676 39.88769,-119.74372 33.64885,-114.88283 32.50556,-116.67369 35.95931,-118.95242 36.78815))",
 "HasGeospatialIssue is false",
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)",
 "Year 2022-2024"
 ]
}

 The dataset includes 2027 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041528-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgnu7u
title: Occurrence Download

description: A dataset containing 227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachypithecus auratus (É.Geoffroy Saint-Hilaire, 1812))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 227 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041529-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dq8w9s
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachypteris picta decostigma (Fabricius, 1787))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 121 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041530-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26397538
title: Periodic cooking: the perfect egg

description: Egg cooks are challenged by the two-phase structure: albumen and yolk require two cooking temperatures. Separation or a compromise temperature to the detriment of food safety or taste preference are the options. We have discovered that it is possible to cook albumen and yolk at two temperatures without separation by using periodic boundary conditions in the energy transport problem. Sometimes science can surpass the art of master chefs.
DOI: 10.6084/m9.figshare.26397538.v1
title: Periodic cooking: the perfect egg

description: Egg cooks are challenged by the two-phase structure: albumen and yolk require two cooking temperatures. Separation or a compromise temperature to the detriment of food safety or taste preference are the options. We have discovered that it is possible to cook albumen and yolk at two temperatures without separation by using periodic boundary conditions in the energy transport problem. Sometimes science can surpass the art of master chefs.
DOI: 10.15468/dl.cect8n
title: Occurrence Download

description: A dataset containing 213931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Geometry POLYGON((-100 23.5,180 23.5,180 90,-100 90,-100 23.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate invalid, Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names , Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, ccurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution, Zero coordinate, Coordinate out of range)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Bombus impatiens Cresson, 1863, Bombus griseocollis (De Geer, 1773))",
 "Year 1000-2023"
 ]
}

 The dataset includes 213931 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041518-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13124280
title: Data for Coastal Fog and Low Clouds Provide Intertidal Organisms Refugia During Summer Heat

description: This repository contains data and code relevant to the paperCoastal Fog and Low Clouds Provide Intertidal Organisms Refugia During Summer Heatby Jessica Lundquist, Autumn Nguyen, Steven Pestana, and Eli Schwatcontact person: Jessica Lundquist, University of Washington, jdlund@uw.edusubmitted to Geophysical Research LettersJuly 29, 2024

Files are as follows:

Paper files (note, these are submitted files, and may be modified in the final published version):Lundquist_GRL_Manuscript_July29.pdf        Manuscript file, main text and figures, submitted July 29, 2024Lundquist_GRL_SuppInfo_July_29.pdf        Supplemental Information file, submitted July 29, 2024

Movie files of timelapse photographs from each of the sites:timeLapseCattlePoint_July_Oct_2022.mp4        Images from Cattle Point site, facing Lopez IslandtimeLapseFHL_facingShaw_July_2022.mp4        Images from Friday Harbor Laboratory (FHL) site, facing Shaw IslandtimeLapseFHL_facingShaw_July_Nov_2022.mp4    Images from Friday Harbor Laboratory (FHL) site, facing Shaw IslandtimeLapseMtDallas_view_2022.mp4            Images from Mt. Dallas site, looking towards the coast, with FHL toward the left of the image, and Cattle Point towards the right of the image.

Temperature data files:SJI_Tdata_site1.nc                 Temperature and relative humidity data from Hobo datalogger at Friday Harbor Laboratories Weather station locationSJI_Tdata_site2.nc                 Temperature and relative humidity data from Hobo datalogger at Mt. Dallas location                SJI_Tdata_site3.nc                 Temperature and relative humidity data from Hobo datalogger at Cattle Point locationSJI_Tdata_site4.nc                Temperature and relative humidity data from Friday Harbor Laboratories Weather Station    FHairportdata.txt                    Raw data from Friday Harbor airport weather station.

Reanalysis data files:SJI_strongInv2022.txt                File of dates used to select days of strong inversion to assess anomalies500mbHtanomalies.205.175.106.80.157.13.39.23.nc        500hPa height anomaly data for Fig 2e mapTanomaly850mbyycompos.205.175.106.80.157.13.47.49.nc    850hPa temperature anomaly data for Fig 2f map

Matlab files for plotting figures in paper(note that Matlab software is not required to read these files)TRH2.mat                    Temperature and relative humidity data from in situ locations for 2022Tides2021_23.mat                Friday Harbor tide hight dataGOESclouds.mat                    Cloud height data for the locations with surface observationsFHairportdata.mat                Temperature data from the Friday Harbor airportLundquist_GRL_FLCC_figurecode.m            Matlab code for using the datafiles above to make all of the figures in the paper
DOI: 10.5281/zenodo.13124281
title: Data for Coastal Fog and Low Clouds Provide Intertidal Organisms Refugia During Summer Heat

description: This repository contains data and code relevant to the paperCoastal Fog and Low Clouds Provide Intertidal Organisms Refugia During Summer Heatby Jessica Lundquist, Autumn Nguyen, Steven Pestana, and Eli Schwatcontact person: Jessica Lundquist, University of Washington, jdlund@uw.edusubmitted to Geophysical Research LettersJuly 29, 2024

Files are as follows:

Paper files (note, these are submitted files, and may be modified in the final published version):Lundquist_GRL_Manuscript_July29.pdf        Manuscript file, main text and figures, submitted July 29, 2024Lundquist_GRL_SuppInfo_July_29.pdf        Supplemental Information file, submitted July 29, 2024

Movie files of timelapse photographs from each of the sites:timeLapseCattlePoint_July_Oct_2022.mp4        Images from Cattle Point site, facing Lopez IslandtimeLapseFHL_facingShaw_July_2022.mp4        Images from Friday Harbor Laboratory (FHL) site, facing Shaw IslandtimeLapseFHL_facingShaw_July_Nov_2022.mp4    Images from Friday Harbor Laboratory (FHL) site, facing Shaw IslandtimeLapseMtDallas_view_2022.mp4            Images from Mt. Dallas site, looking towards the coast, with FHL toward the left of the image, and Cattle Point towards the right of the image.

Temperature data files:SJI_Tdata_site1.nc                 Temperature and relative humidity data from Hobo datalogger at Friday Harbor Laboratories Weather station locationSJI_Tdata_site2.nc                 Temperature and relative humidity data from Hobo datalogger at Mt. Dallas location                SJI_Tdata_site3.nc                 Temperature and relative humidity data from Hobo datalogger at Cattle Point locationSJI_Tdata_site4.nc                Temperature and relative humidity data from Friday Harbor Laboratories Weather Station    FHairportdata.txt                    Raw data from Friday Harbor airport weather station.

Reanalysis data files:SJI_strongInv2022.txt                File of dates used to select days of strong inversion to assess anomalies500mbHtanomalies.205.175.106.80.157.13.39.23.nc        500hPa height anomaly data for Fig 2e mapTanomaly850mbyycompos.205.175.106.80.157.13.47.49.nc    850hPa temperature anomaly data for Fig 2f map

Matlab files for plotting figures in paper(note that Matlab software is not required to read these files)TRH2.mat                    Temperature and relative humidity data from in situ locations for 2022Tides2021_23.mat                Friday Harbor tide hight dataGOESclouds.mat                    Cloud height data for the locations with surface observationsFHairportdata.mat                Temperature data from the Friday Harbor airportLundquist_GRL_FLCC_figurecode.m            Matlab code for using the datafiles above to make all of the figures in the paper
DOI: 10.15468/dl.5m32ct
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachysalambria curvirostris (Stimpson, 1860))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 233 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041531-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evcabv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Harvard University Herbaria: All Records",
 "TaxonKey is Aquilegia viridiflora Pall."
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041532-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13124721
title: Wallops SuperDARN data in netCDF format (2024-May)

description: 2024-May Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.
The RST is available here: https://github.com/SuperDARN/rst
The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.
Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)
Recommended form of acknowledgement for the use of SuperDARN data:
'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.13124723
title: Wallops SuperDARN data in netCDF format (2024-May)

description: 2024-May Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.
The RST is available here: https://github.com/SuperDARN/rst
The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.
Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)
Recommended form of acknowledgement for the use of SuperDARN data:
'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.f9d6a5
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Marinarozelotes barbatus (L.Koch, 1866))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 182 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041533-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2drzp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Harvard University Herbaria: All Records",
 "TaxonKey is Aquilegia olympica Boiss."
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041534-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13125287
title: Wallops SuperDARN data in netCDF format (2024-Jun)

description: 2024-Jun Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.
The RST is available here: https://github.com/SuperDARN/rst
The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.
Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)
Recommended form of acknowledgement for the use of SuperDARN data:
'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'