cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tb249g
title: Occurrence Download

description: A dataset containing 249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-121.12113329010498 42.49115947046181, -121.13266791426267 42.48927285588909, -121.14348234213911 42.48575587666672, -121.15316024684259 42.48074401859339, -121.16132934002937 42.47443030574658, -121.16767573524378 42.46705781845704, -121.17195600289186 42.458910283614976, -121.17400645483393 42.45030110933025, -121.17374931263319 42.4415612947628, -121.17119554114991 42.43302668674083, -121.16644426231457 42.42502507640072, -121.15967879669614 42.41786363122029, -121.15115950761782 42.41181714100461, -121.1412137395774 42.40711752186178, -121.13022324601579 42.40394497179174, -121.11860958835277 42.402421107447104, -121.10681805678047 42.40260433646194, -121.09530071234785 42.404487636215734, -121.084499178644 42.40799882085801, -121.07482781954005 42.41300328676319, -121.06665792687568 42.41930913524503, -121.06030350882511 42.42667448325094, -121.05600921638975 42.434816690781254, -121.05394087285558 42.44342316076016, -121.05417898048808 42.452163305733144, -121.05671547226211 42.460701228570855, -121.06145385692285 42.46870863348693, -121.06821277692298 42.47587747083283, -121.07673286545435 42.48193182541383, -121.08668665631514 42.486638583843444, -121.09769117466604 42.489816461229374, -121.10932272393998 42.49134302988251, -121.12113329010498 42.49115947046181))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 249 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005582-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q3x749
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-121.11941069000964 42.48184372729354, -121.1309434183163 42.47995734770039, -121.14175612377912 42.476440623115195, -121.15143254590954 42.47142902952014, -121.15960045341689 42.465115580800415, -121.16594600534384 42.457743347114715, -121.17022580430222 42.4495960455955, -121.17227617985854 42.440987075386175, -121.17201935614897 42.43224742781597, -121.16946628542969 42.42371294331735, -121.16471606239026 42.41571140830817, -121.1579519668156 42.408549987402075, -121.14943430930094 42.40250346949967, -121.1394903717102 42.39780377179477, -121.12850183734137 42.39463109531811, -121.11689019262711 42.393107061580054, -121.10510065076417 42.393290084712625, -121.09358519670167 42.395173149985624, -121.08278538169378 42.39868408053124, -121.07311550377462 42.403688282458084, -121.06494679794213 42.40999386719608, -121.05859322669664 42.417358961806386, -121.05429940829835 42.42550093601534, -121.0522311475129 42.43410720171339, -121.05246894306417 42.442847179307954, -121.05500473955512 42.45138497812353, -121.05974207213752 42.45939230716821, -121.06649962348217 42.46656111973983, -121.07501807929754 42.47261550162431, -121.08497003619092 42.47732233840776, -121.09597259000172 42.480500342198795, -121.10760211996389 42.482027080450855, -121.11941069000964 42.48184372729354))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 266 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005583-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17699457
title: Global 1km Resolution Solar Photovoltaic Resource,Technical,and Economic Potential:Raster Datasets,Country-Level Statistics and Google Earth Engine Code

description: DescriptionThis dataset accompanies the study “Global Fine-Scale Assessment of the Technical and Economic Potential of Solar Photovoltaic Power Using Google Earth Engine”, providing comprehensive geospatial data products and code to support replication and further analysis. It includes:





Global 1-km raster layers representing:





Solar resource potential (irradiance-based)




Technical potential, accounting for terrain, land use, slope, and protected area exclusions




Economic potential, defined as grid cells satisfying affordability and infrastructure-access criteria (payback period ≤ 15 years; distance to road/settlement ≤ 50 km)






Country-level summary tables, aggregating PV potential under each scenario (resource, technical, economic) using high-resolution administrative boundaries.




GEE JavaScript code, used to compute expected payback periods from multi-source global inputs including annual benchmark electricity prices, total installation costs, and geospatial constraints. The code also incorporates economic screen criteria and generates the above raster outputs.



All raster files are provided in GeoTIFF format with a 1 km spatial resolution in WGS 84 (EPSG:4326). Country-level statistics are provided in CSV format. The code is available as a GEE script and a downloadable .js file.

These resources allow researchers, planners, and policymakers to replicate our analysis or customize it for regional applications, infrastructure planning, and investment prioritization in support of Sustainable Development Goal 7 and global solar energy deployment strategies.

KeywordsSolar photovoltaic, global assessment, economic potential, Google Earth Engine, geospatial dataset, payback period, energy planning, 1 km resolution
DOI: 10.3334/cdiac/otg.clivar_a06_2010
title: Dissolved inorganic carbon, pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from HESPERIDES in the North Atlantic Ocean and South Atlantic Ocean from 2010-04-05 to 2010-05-16 (NCEI Accession 0109927)

description: This dataset includes discrete sample and profile data collected from HESPERIDES in the North Atlantic Ocean and South Atlantic Ocean from 2010-04-05 to 2010-05-16. These data include CHLOROFLUOROCARBON-11 (CFC-11), CHLOROFLUOROCARBON-12 (CFC-12), DELTA HELIUM-3, DISSOLVED INORGANIC CARBON (DIC), DISSOLVED OXYGEN, HELIUM, HYDROSTATIC PRESSURE, NEON, NITRATE, Potential temperature (theta), SALINITY, TOTAL ALKALINITY (TA), WATER TEMPERATURE, pH, phosphate and silicate. The instruments used to collect these data include Alkalinity titrator, CTD, Coulometer for DIC measurement, bottle and spectrophotometer.

These data were collected by Josep L. Pelegrí of Instituto de Ciencias Del Mar - Barcelona and Aída F. Ríos, Elisa F. Guallart, Fiz F. Pérez, and Noelia M. Fajar of Institute of Marine Research Vigo (IIM) as part of the CLIVAR_A06_2010 dataset. CDIAC associated the following cruise ID(s) with this dataset: CLIVAR_A06_2010

The International CLIVAR Global Ocean Carbon and Repeat Hydrography Program carries out a systematic and global re-occupation of select WOCE/JGOFS hydrographic sections to quantify changes in storage and transport of heat, fresh water, carbon dioxide (CO2), and related parameters.
DOI: 10.15468/dl.7jf2j7
title: Occurrence Download

description: A dataset containing 731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Croatia",
 "TaxonKey is Testudo hermanni",
 "Year 2015-2025"
 ]
}

 The dataset includes 731 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005584-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3334/cdiac/otg.clivar_a21_29he20100208
title: PH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from HESPERIDES in the South Atlantic Ocean from 2010-02-08 to 2010-03-10 (NCEI Accession 0110255)

description: This dataset includes chemical, discrete sample, physical and profile data collected from HESPERIDES in the South Atlantic Ocean from 2010-02-08 to 2010-03-10. These data include DISSOLVED OXYGEN, HYDROSTATIC PRESSURE, NITRATE, NITRITE, SALINITY, TOTAL ALKALINITY (TA), WATER TEMPERATURE, pH, phosphate and silicate. The instruments used to collect these data include Alkalinity titrator, CTD, bottle and spectrophotometer.

These data were collected by Aída F. Ríos and Fiz F. Pérez of Institute of Marine Research Vigo (IIM) as part of the CLIVAR_A21_20HE20100208 dataset. CDIAC associated the following cruise ID(s) with this dataset: CLIVAR_A21_20HE20100208

The International CLIVAR Global Ocean Carbon and Repeat Hydrography Program carries out a systematic and global re-occupation of select WOCE/JGOFS hydrographic sections to quantify changes in storage and transport of heat, fresh water, carbon dioxide (CO2), and related parameters.
DOI: 10.15468/dl.4zcrk8
title: Occurrence Download

description: A dataset containing 344331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Anastomus oscitans"
 ]
}

 The dataset includes 344331 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005539-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17699470
title: Global 1km Resolution Solar Photovoltaic Resource,Technical,and Economic Potential:Raster Datasets,Country-Level Statistics and Google Earth Engine Code

description: DescriptionThis dataset accompanies the study “Global Fine-Scale Assessment of the Technical and Economic Potential of Solar Photovoltaic Power Using Google Earth Engine”, providing comprehensive geospatial data products and code to support replication and further analysis. It includes:





Global 1-km raster layers representing:





Solar resource potential (irradiance-based)




Technical potential, accounting for terrain, land use, slope, and protected area exclusions




Economic potential, defined as grid cells satisfying affordability and infrastructure-access criteria (payback period ≤ 15 years; distance to road/settlement ≤ 50 km)






Country-level summary tables, aggregating PV potential under each scenario (resource, technical, economic) using high-resolution administrative boundaries.




GEE JavaScript code, used to compute expected payback periods from multi-source global inputs including annual benchmark electricity prices, total installation costs, and geospatial constraints. The code also incorporates economic screen criteria and generates the above raster outputs.



All raster files are provided in GeoTIFF format with a 1 km spatial resolution in WGS 84 (EPSG:4326). Country-level statistics are provided in CSV format. The code is available as a GEE script and a downloadable .js file.

These resources allow researchers, planners, and policymakers to replicate our analysis or customize it for regional applications, infrastructure planning, and investment prioritization in support of Sustainable Development Goal 7 and global solar energy deployment strategies.

KeywordsSolar photovoltaic, global assessment, economic potential, Google Earth Engine, geospatial dataset, payback period, energy planning, 1 km resolution
DOI: 10.15468/dl.wehh34
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-121.11941069000964 42.48184372729354, -121.1309434183163 42.47995734770039, -121.14175612377912 42.476440623115195, -121.15143254590954 42.47142902952014, -121.15960045341689 42.465115580800415, -121.16594600534384 42.457743347114715, -121.17022580430222 42.4495960455955, -121.17227617985854 42.440987075386175, -121.17201935614897 42.43224742781597, -121.16946628542969 42.42371294331735, -121.16471606239026 42.41571140830817, -121.1579519668156 42.408549987402075, -121.14943430930094 42.40250346949967, -121.1394903717102 42.39780377179477, -121.12850183734137 42.39463109531811, -121.11689019262711 42.393107061580054, -121.10510065076417 42.393290084712625, -121.09358519670167 42.395173149985624, -121.08278538169378 42.39868408053124, -121.07311550377462 42.403688282458084, -121.06494679794213 42.40999386719608, -121.05859322669664 42.417358961806386, -121.05429940829835 42.42550093601534, -121.0522311475129 42.43410720171339, -121.05246894306417 42.442847179307954, -121.05500473955512 42.45138497812353, -121.05974207213752 42.45939230716821, -121.06649962348217 42.46656111973983, -121.07501807929754 42.47261550162431, -121.08497003619092 42.47732233840776, -121.09597259000172 42.480500342198795, -121.10760211996389 42.482027080450855, -121.11941069000964 42.48184372729354))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 266 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005587-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aat6zk
title: Occurrence Download

description: A dataset containing 665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Varanus komodoensis",
 "Year 2015-2025"
 ]
}

 The dataset includes 665 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005589-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8fxpx
title: Occurrence Download

description: A dataset containing 39664 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-121.94697993211051 42.64617198207392, -121.95851802035081 42.644189902196075, -121.96930933393851 42.64058296277228, -121.97893844818313 42.635490113668745, -121.98703497054888 42.629107495073924, -121.99328782795588 42.621680835164405, -121.99745720989263 42.61349593868276, -121.99938371019745 42.60486764235525, -121.99899432760483 42.596127670915926, -121.99630511366833 42.587611867255426, -121.99142039034354 42.57964729072956, -121.98452859248926 42.572539678704075, -121.97589491756918 42.56656174854983, -121.96585108145516 42.56194278181443, -121.95478258191419 42.55885988102805, -121.94311395744889 42.5574312248186, -121.9312925968123 42.55771157127479, -121.91977170253352 42.559690175554664, -121.90899303946856 42.56329119844204, -121.89937010638101 42.56837659081062, -121.89127235478595 42.57475134769279, -121.88501104490749 42.58217093778637, -121.88082727407271 42.59035063266343, -121.87888263902177 42.59897638749398, -121.87925290186674 42.607716864463264, -121.88192492185684 42.616236143718446, -121.88679699465575 42.624206636776606, -121.89368261133322 42.6313217055345, -121.902317515458 42.6373074974019, -121.9123698040283 42.641933533956575, -121.9234526924705 42.645021636351665, -121.93513945170157 42.6464528340606, -121.94697993211051 42.64617198207392))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 39664 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005588-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3334/cdiac/otg.clivar_ovide_2010
title: PH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from THALASSA in the North Atlantic Ocean from 2010-06-08 to 2010-06-30 (NCEI Accession 0112842)

description: This dataset includes discrete sample and profile data collected from THALASSA in the North Atlantic Ocean from 2010-06-08 to 2010-06-30 and retrieved during cruise CLIVAR_OVIDE_2010. These data include DISSOLVED OXYGEN, HYDROSTATIC PRESSURE, NITRATE, Potential temperature (theta), SALINITY, TOTAL ALKALINITY (TA), WATER TEMPERATURE, pH, phosphate and silicate. The instruments used to collect these data include Alkalinity titrator, CTD, bottle and spectrophotometer.

These data were collected by Herlé Mercier of IFREMER Centre de Brest and Aída F. Ríos and Fiz F. Pérez of Institute of Marine Research Vigo (IIM) as part of the CLIVAR_OVIDE_2010 dataset.

The International CLIVAR Global Ocean Carbon and Repeat Hydrography Program carries out a systematic and global re-occupation of select WOCE/JGOFS hydrographic sections to quantify changes in storage and transport of heat, fresh water, carbon dioxide (CO2), and related parameters.
DOI: 10.3334/cdiac/otg.vos_sko2007
title: Sea surface and atmospheric fCO2 data measured in the Atlantic Ocean during the ship of opportunity (SOOP) Skogafoss cruises in the North Atlantic Ocean from 2007-01-07 to 2007-06-04 (NCEI Accession 0112887)

description: This dataset includes surface underway, chemical, meteorological and physical data collected from ship of opportunity (SOOP) Skogafoss in the North Atlantic Ocean from 2007-01-07 to 2007-06-04. These data include partial pressure (or fugacity) of carbon dioxide - atmosphere, Partial pressure (or fugacity) of carbon dioxide - water, salinity, surface temperature. These data were collected by Denis Pierrot, Kevin F. Sullivan, and Rik Wanninkhof of NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) as part of the VOS_Skogafoss_Lines_2007 dataset. CDIAC associated the following cruise ID(s) with this dataset: SKO701, SKO705, SKO709, SKO713, SKO717 and SKO721
DOI: 10.3334/cdiac/otg.gift_29he20081006
title: pH, alkalinity, temperature, salinity and other variables collected from profile observations using Alkalinity titrator, CTD and other instruments from the HESPERIDES in the North Atlantic Ocean and Strait of Gibraltar from 2008-10-06 to 2008-10-12 (NCEI Accession 0112927)

description: This dataset includes chemical, discrete sample, physical and time series profile data collected from HESPERIDES in the North Atlantic Ocean and Strait of Gibraltar from 2008-10-06 to 2008-10-12. These data include ALKALINITY, DISSOLVED OXYGEN, HYDROSTATIC PRESSURE, NITRATE, Potential temperature (theta), SALINITY, SILICATE, WATER TEMPERATURE and pH. The instruments used to collect these data include Alkalinity titrator, CTD, Spectrophotometer for pH measurement and bottle.

These data were collected by Aída F. Ríos of Institute of Marine Research Vigo (IIM) and Emma Huertas of CSIC as part of the GIFT_29HE20081006 dataset. CDIAC assigned the following cruise ID(s) to this dataset: GIFT_29HE20081006 and P3A2.

The Global CO2 Time-series and Moorings Project involves international groups from 18 countries who have mounted sensors on moored buoys to provide high resolution time-series measurements of atmospheric boundary layer and surface ocean CO2 partial pressure (pCO2). The CO2 Time-series and Moorings Project is coordinated by UNESCO International Ocean Carbon Coordination Project (IOCCP).
DOI: 10.6084/m9.figshare.30499535.v1
title: <b>Institutional dynamics in the digital transformation of state-owned enterprises</b>

description: <b>Institutional Dynamics in the Digital Transformation of State-Owned Enterprises</b>
DOI: 10.15468/dl.7c9tv9
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Living Specimen)",
 "TaxonKey is Kinosternon vogti"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005590-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3334/cdiac/otg.gift_carbogib2005
title: pH, alkalinity, temperature, salinity and other variables collected from time series profile observations using Alkalinity titrator, CTD and other instruments from Al Amir Moulay Abdallah in the North Atlantic Ocean and Strait of Gibraltar from 2005-05-04 to 2007-05-08 (NCEI Accession 0112928)

description: This dataset includes chemical, discrete sample, physical and time series profile data collected from Al Amir Moulay Abdallah in the North Atlantic Ocean and Strait of Gibraltar from 2005-05-04 to 2007-05-08. These data include ALKALINITY, DISSOLVED OXYGEN, HYDROSTATIC PRESSURE, NITRATE, SALINITY, SILICATE, WATER TEMPERATURE and pH. The instruments used to collect these data include Alkalinity titrator, CTD, Spectrophotometer for pH measurement and bottle.

These data were collected by Aída F. Ríos of Institute of Marine Research Vigo (IIM) and Emma Huertas of CSIC as part of the GIFT_CARBOGIB2005 dataset. CDIAC assigned the following cruise ID(s) to this dataset: CARBOGIB3.

The Global CO2 Time-series and Moorings Project involves international groups from 18 countries who have mounted sensors on moored buoys to provide high resolution time-series measurements of atmospheric boundary layer and surface ocean CO2 partial pressure (pCO2). The CO2 Time-series and Moorings Project is coordinated by UNESCO International Ocean Carbon Coordination Project (IOCCP).
DOI: 10.15468/dl.wz46ss
title: Occurrence Download

description: A dataset containing 1665349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Anser albifrons"
 ]
}

 The dataset includes 1665349 records from 723 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005547-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15487967
title: Unprecedented Continental Drying, Shrinking Freshwater Availability, and Increasing Land Contributions to Sea Level Rise

description: The datasets provided in support of the study 'Unprecedented Continental Drying,Shrinking Freshwater Availability, and Increasing Land Contributions to SeaLevel Rise' by Chandanpurkar et al, 2025. Questions regarding these data can be addressed to chandanpurkar@protonmail.com.

The datasets are as follows:1. gic_mask.nc: The mask used to identify JPL mascons that feature signals from mountain glaciers and ice caps. 

2. four_megaregions.shp: The drying mega-regions identified in the study. 

3. high_res_local_trends.nc: The local trends from enhanced-resolution,bias-corrected TWS data for the period 2/2003-4/2024. The units are km3 yr-1. 

4. persistant_local_trends.nc: The results from the sensitivity analysis forpersistence of the local trends to an incrementally increasing duration of GRACErecords, shown in Figure 4a. The units are in percentages. The locations with 0%value have always shown positive trends, and the 100% value represents locationsthat have always shown negative trends to the increasing GRACE record length.The persistent wetting trends are considered for values between 0-5%, whilepersistent drying trends are for values between 95-100%. 

5. ratio_t_ia.nc: The map of local ratios of trend variance to interannual variance,shown in Figure 4b. Values greater than 1 indicate that the long-term trendvariance exceeds interannual variability.