cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.69yt5w
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium korshinskyi Zahn"
 ]
}

 The dataset includes 203 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0152124-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8xqqs
title: Occurrence Download

description: A dataset containing 2371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Conocarpus erectus L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2371 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005402-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qa8by4
title: Occurrence Download

description: A dataset containing 1912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Year is 2012",
 "Geometry POLYGON((-115.40753 -9.55635,-37.59247 -9.55635,-37.59247 21.55635,-115.40753 21.55635,-115.40753 -9.55635))",
 "HasCoordinate is true",
 "TaxonKey is Mammalia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1912 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004736-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrbp6y
title: Occurrence Download

description: A dataset listing the 16 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pediomelum tenuiflorum (Pursh) A.N.Egan"
 ]
}

 The dataset's 16 records were derived from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0152113-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.clon1f
title: Occurrence Download

description: A dataset containing 44273 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thamnophis sirtalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 44273 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005402-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnngju
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.49611 19.11598,-103.76419 18.72165,-103.63559 18.8831,-103.41254 19.27343,-103.70979 19.46865,-104.05297 19.43413,-104.49611 19.11598))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mimosa L."
 ]
}

 The dataset includes 220 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021795-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfsw5y
title: Occurrence Download

description: A dataset containing 1512208412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1512208412 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021782-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10957360
title: HST COS FUV Superdarks
title: Hubble Space Telescope Cosmic Origins Spectrograph Far Ultraviolet Superdarks

description: We share custom superdarks that model the different dark states of the Cosmic Origins Spectrograph (COS) FUV detector, onboard the Hubble Space Telescope (HST). The superdarks and their creation methodology are described in the accompanying ACDC (Another COS Dark Correction) software documentation.

Here we present superdarks for each COS/FUV HV (High Voltage) and segment combination. Each combination includes 2-10 superdark states. ACDC determines uses all applicable states to determine a best dark model for each science exposure of interest. Read more on how to use the ACDC software and superdarks.

List of files in cos_fuv_superdarks_segmenta.tar.gz



superdark_FUVA_163_epoch0_binned.asdf

superdark_FUVA_163_epoch1_binned.asdf

superdark_FUVA_163_epoch2_binned.asdf

superdark_FUVA_167_epoch0_binned.asdf

superdark_FUVA_167_epoch1_binned.asdf

superdark_FUVA_167_epoch2_binned.asdf

superdark_FUVA_167_epoch3_binned.asdf

superdark_FUVA_167_epoch4_binned.asdf

superdark_FUVA_167_epoch5_binned.asdf

superdark_FUVA_167_epoch6_binned.asdf

superdark_FUVA_167_epoch7_binned.asdf

superdark_FUVA_167_epoch8_binned.asdf

superdark_FUVA_167_epoch9_binned.asdf

superdark_FUVA_169_epoch0_binned.asdf

superdark_FUVA_169_epoch1_binned.asdf

superdark_FUVA_169_epoch2_binned.asdf

superdark_FUVA_169_epoch3_binned.asdf

superdark_FUVA_169_epoch4_binned.asdf

superdark_FUVA_173_epoch0_binned.asdf

superdark_FUVA_173_epoch1_binned.asdf

superdark_FUVA_173_epoch2_binned.asdf

superdark_FUVA_178_epoch0_binned.asdf

superdark_FUVA_178_epoch2_binned.asdf

superdark_FUVA_178_epoch3_binned.asdf


List of files in cos_fuv_superdarks_segmentb.tar.gz



superdark_FUVB_163_epoch0_binned.asdf

superdark_FUVB_163_epoch1_binned.asdf

superdark_FUVB_163_epoch2_binned.asdf

superdark_FUVB_167_epoch0_binned.asdf

superdark_FUVB_167_epoch1_binned.asdf

superdark_FUVB_167_epoch2_binned.asdf

superdark_FUVB_169_epoch0_binned.asdf

superdark_FUVB_169_epoch1_binned.asdf

superdark_FUVB_169_epoch2_binned.asdf

superdark_FUVB_169_epoch3_binned.asdf

superdark_FUVB_175_epoch0_binned.asdf

superdark_FUVB_175_epoch1_binned.asdf
DOI: 10.5281/zenodo.10957361
title: HST COS FUV Superdarks
title: Hubble Space Telescope Cosmic Origins Spectrograph Far Ultraviolet Superdarks

description: We share custom superdarks that model the different dark states of the Cosmic Origins Spectrograph (COS) FUV detector, onboard the Hubble Space Telescope (HST). The superdarks and their creation methodology are described in the accompanying ACDC (Another COS Dark Correction) software documentation.

Here we present superdarks for each COS/FUV HV (High Voltage) and segment combination. Each combination includes 2-10 superdark states. ACDC determines uses all applicable states to determine a best dark model for each science exposure of interest. Read more on how to use the ACDC software and superdarks.

List of files in cos_fuv_superdarks_segmenta.tar.gz



superdark_FUVA_163_epoch0_binned.asdf

superdark_FUVA_163_epoch1_binned.asdf

superdark_FUVA_163_epoch2_binned.asdf

superdark_FUVA_167_epoch0_binned.asdf

superdark_FUVA_167_epoch1_binned.asdf

superdark_FUVA_167_epoch2_binned.asdf

superdark_FUVA_167_epoch3_binned.asdf

superdark_FUVA_167_epoch4_binned.asdf

superdark_FUVA_167_epoch5_binned.asdf

superdark_FUVA_167_epoch6_binned.asdf

superdark_FUVA_167_epoch7_binned.asdf

superdark_FUVA_167_epoch8_binned.asdf

superdark_FUVA_167_epoch9_binned.asdf

superdark_FUVA_169_epoch0_binned.asdf

superdark_FUVA_169_epoch1_binned.asdf

superdark_FUVA_169_epoch2_binned.asdf

superdark_FUVA_169_epoch3_binned.asdf

superdark_FUVA_169_epoch4_binned.asdf

superdark_FUVA_173_epoch0_binned.asdf

superdark_FUVA_173_epoch1_binned.asdf

superdark_FUVA_173_epoch2_binned.asdf

superdark_FUVA_178_epoch0_binned.asdf

superdark_FUVA_178_epoch2_binned.asdf

superdark_FUVA_178_epoch3_binned.asdf


List of files in cos_fuv_superdarks_segmentb.tar.gz



superdark_FUVB_163_epoch0_binned.asdf

superdark_FUVB_163_epoch1_binned.asdf

superdark_FUVB_163_epoch2_binned.asdf

superdark_FUVB_167_epoch0_binned.asdf

superdark_FUVB_167_epoch1_binned.asdf

superdark_FUVB_167_epoch2_binned.asdf

superdark_FUVB_169_epoch0_binned.asdf

superdark_FUVB_169_epoch1_binned.asdf

superdark_FUVB_169_epoch2_binned.asdf

superdark_FUVB_169_epoch3_binned.asdf

superdark_FUVB_175_epoch0_binned.asdf

superdark_FUVB_175_epoch1_binned.asdf
DOI: 10.34740/kaggle/dsv/8452045
title: Brain Cancer Object Detection Dataset
DOI: 10.15468/dl.df63nw
title: Occurrence Download

description: A dataset containing 1634861 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Paraguay"
 ]
}

 The dataset includes 1634861 records from 1182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021797-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10778129
title: Data from: Rates and drivers of carbon emissions from hydropower reservoirs in the southeastern United States

description: Reservoirs are a significant source of atmospheric carbon (C), but their emission rates vary in space and time. Here, we compared C emissions via diffusion, ebullition, and degassing pathways for six large hydropower reservoirs in the southeastern US that were previously sampled in summer 2012. We revisited the same stations and used a similar methodology to assess which emissions pathways were dominant during the two times. While recent models have suggested that degassing could be a dominant pathway, in these reservoirs, the contribution of degassing to total emissions was low, typically < 5%. Instead, we found that CO2 diffusion was the dominant emissions pathway in 2022. All six reservoirs were CO2 sources in the summer of 2012, but sinks in the summer of 2022. Next, we explored drivers of spatial variation and found relationships associating indicators of greater algal production with lower CO2 but higher CH4 emissions. Finally, to explore drivers of temporal variability, we sampled one reservoir during three drawdown phases (full summer pool, mid-drawdown, and winter pool). Temporal variation in CO2 diffusion rates paired with seasonal productivity patterns, and we found that lower water levels associated with lower hydrostatic pressure and reduced distance for oxidation resulted in the highest CH4 emissions rates. Our results demonstrate that important regional differences are not yet reflected in efforts to produce C emissions estimates for reservoirs globally. Measuring C emissions from multiple pathways and understanding their spatial and temporal responses and variability is vital to reducing uncertainties in global upscaling efforts.
DOI: 10.5281/zenodo.11153656
title: Data from: Rates and drivers of carbon emissions from hydropower reservoirs in the southeastern United States

description: Reservoirs are a significant source of carbon (C) to the atmosphere, but their emission rates vary in space and time. Here, we compared C emissions via diffusion and ebullition pathways at several stations in six large hydropower reservoirs in the southeastern US that were previously sampled in summer 2012. We used similar methodology to compare emissions rates, dominant pathways, and predictors of emissions between the two sampling campaigns. We found that carbon dioxide (CO2) diffusion was the dominant flux pathway during 2012 and 2022, with only three exceptions where methane (CH4) diffusion or CH4 ebullition dominated. However, the direction of the CO2 diffusive flux shifted between 2012 and 2022, where all but three stations across all reservoirs emitted CO2 in summer 2012, but every station sequestered CO2 in summer 2022. Next, we explored drivers of variation and found that indicators of greater algal production were associated with CO2 sequestration (i.e., negative CO2 flux), including surface chlorophyll-a concentration, surface dissolved oxygen saturation, and pH. We also linked CH4 diffusion rates with water temperature as a likely driver of CH4 production. However, we found limited evidence for predictors of CH4 ebullition, likely due to extremely high variability within and across reservoirs, with rates ranging from 0 to 739 mg C m-2 day-1. Additional sampling campaigns outside the summer season highlighted the importance of seasonal phenology in primary production on the direction of CO2 diffusive fluxes, which shifted to positive CO2 fluxes by the end of August as productivity decreased. Our results demonstrate the importance of capturing CO2 sequestration in field and modelling measurements and understanding the seasonal drivers of these estimates when considering upscaling. Measuring C emissions from multiple pathways in reservoirs and understanding their spatiotemporal responses and variability is vital to reducing uncertainties in global upscaling efforts.
DOI: 10.5281/zenodo.11166622
title: Data from: Rates and drivers of carbon emissions from hydropower reservoirs in the southeastern United States

description: Reservoirs are a significant source of carbon (C) to the atmosphere, but their emission rates vary in space and time. We compared C emissions via diffusive and ebullitive pathways at several stations in six large hydropower reservoirs in the southeastern US that were previously sampled in summer 2012. We found that carbon dioxide (CO2) diffusion was the dominant flux pathway during 2012 and 2022, with only three exceptions where methane (CH4) diffusion or CH4 ebullition dominated. CH4 diffusion rates were positively associated with water temperature. However, we found no clear predictors of CH4 ebullition, which had extremely high variability, with rates ranging from 0 to 739 mg C m-2 day-1. For CO2 diffusion, the direction of the flux shifted between 2012 and 2022, where all but three stations across all reservoirs emitted CO2 in summer 2012, but every station sequestered CO2 in summer 2022. Here, indicators of greater algal production were associated with CO2 sequestration, including surface chlorophyll-a concentration, surface dissolved oxygen saturation, and pH. Additional sampling campaigns outside the summer season highlighted the importance of seasonal phenology in primary production on the direction of CO2 diffusive fluxes, which shifted to positive CO2 fluxes by the end of August as productivity decreased. Our results demonstrate the importance of capturing CO2 sequestration in field and modelling measurements and understanding the seasonal drivers of these estimates. Measuring C emissions from multiple pathways in reservoirs and understanding their spatiotemporal responses and variability is vital to reducing uncertainties in global upscaling efforts.
DOI: 10.5281/zenodo.7915526
title: Data from: Rates and drivers of carbon emissions from hydropower reservoirs in the southeastern United States

description: Reservoirs are a significant source of carbon (C) to the atmosphere, but their emission rates vary in space and time. We compared C emissions via diffusive and ebullitive pathways at several stations in six large hydropower reservoirs in the southeastern US that were previously sampled in summer 2012. We found that carbon dioxide (CO2) diffusion was the dominant flux pathway during 2012 and 2022, with only three exceptions where methane (CH4) diffusion or CH4 ebullition dominated. CH4 diffusion rates were positively associated with water temperature. However, we found no clear predictors of CH4 ebullition, which had extremely high variability, with rates ranging from 0 to 739 mg C m-2 day-1. For CO2 diffusion, the direction of the flux shifted between 2012 and 2022, where all but three stations across all reservoirs emitted CO2 in summer 2012, but every station sequestered CO2 in summer 2022. Here, indicators of greater algal production were associated with CO2 sequestration, including surface chlorophyll-a concentration, surface dissolved oxygen saturation, and pH. Additional sampling campaigns outside the summer season highlighted the importance of seasonal phenology in primary production on the direction of CO2 diffusive fluxes, which shifted to positive CO2 fluxes by the end of August as productivity decreased. Our results demonstrate the importance of capturing CO2 sequestration in field and modelling measurements and understanding the seasonal drivers of these estimates. Measuring C emissions from multiple pathways in reservoirs and understanding their spatiotemporal responses and variability is vital to reducing uncertainties in global upscaling efforts.
DOI: 10.15468/dl.adnpcy
title: Occurrence Download

description: A dataset containing 686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((106.60606 8.84124,106.50184 8.71206,106.52834 8.58983,106.66611 8.58284,106.79152 8.62999,106.80035 8.70682,106.74736 8.81506,106.60606 8.84124))",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 686 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021798-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18738/t8/g8jdac/9aclrd
title: Smye_etal2024_Glg-PP_grids_NDB.zip

description: Smye_etal2024_Glg-PP_grids_NDB.zip folder contains Geographic Information System (GIS) shapefiles and Zmap files of the structure, thickness, average matrix porosity, and pore pressure of the Ordovician, Siluro-Devonian and Pennsylvanian injection intervals of the Northern Delaware Basin. These products were generated following the methods described in the manuscript.
DOI: 10.15468/dl.cpxbcv
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((114.43464 -4.24368,116.754 -4.24368,116.754 -1.7952,114.43464 -1.7952,114.43464 -4.24368))",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 204 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021800-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqby2m
title: Occurrence Download

description: A dataset containing 1229544 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zonotrichia capensis (P.L.S.Müller, 1776)"
 ]
}

 The dataset includes 1229544 records from 409 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021799-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzem5p
title: Occurrence Download

description: A dataset containing 350 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anonconotus occidentalis Carron & Wermeille, 2002"
 ]
}

 The dataset includes 350 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048592-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmvesm
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mimosa macedoana Burkart"
 ]
}

 The dataset includes 235 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285890-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhiuit
title: Occurrence Download

description: A dataset containing 2236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paguma larvata (C.E.H.Smith, 1827)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2236 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013496-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wma6k3
title: Occurrence Download

description: A dataset containing 34313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.50308 36.82015,-6.4926 36.09852,-5.40266 35.94127,-4.98921 36.4657,-5.23242 37.32705,-6.27972 37.25202,-6.50308 36.82015))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 34313 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004349-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9y49te
title: Occurrence Download

description: A dataset containing 373730 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptotila verreauxi Bonaparte, 1855"
 ]
}

 The dataset includes 373730 records from 302 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285888-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b0zary
title: Occurrence Download

description: A dataset containing 333427 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megachilidae"
 ]
}

 The dataset includes 333427 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013500-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qrryg
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grammitis nudicarpa Copel."
 ]
}

 The dataset includes 18 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0164675-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9atts
title: Occurrence Download

description: A dataset containing 421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.70082 45.22791,9.48240 45.22791,9.48240 47.87479,3.70082 47.87479,3.70082 45.22791))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tetrao urogallus Linnaeus, 1758",
 "Year 2013-2024"
 ]
}

 The dataset includes 421 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004354-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzrty4
title: Occurrence Download

description: A dataset containing 1626335 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Tanzania, United Republic of"
 ]
}

 The dataset includes 1626335 records from 1087 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0317904-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive18350.20230509.8.1
title: Polyangium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive18351.20230509.8.1
title: Polyangium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.