cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p999py84
title: U.S. Geological Survey Sea Floor Stress and Sediment Mobility Database

description: The U.S. Geological Survey Sea Floor Stress and Sediment Mobility Database contains estimates of wave-current bottom stress and sediment mobility for the U.S. Atlantic and Gulf Coast continental shelf regions. This USGS database provides information to address issues in coastal and offshore areas where the degree and/or frequency of sediment mobility are important, such as characterization of sea floor ecosystems and evaluation of areas prior to development.

The estimates contained in the database are designed to spatially and seasonally resolve the general characteristics of wave-current bottom shear stress over the U.S. continental shelf, and to estimate sea floor mobility by comparing the modeled stress to critical shear stress thresholds for initiation of sediment movement at sites where grain size data are available. All stress values are given in Pascals (Pa). The methodology for creating the estimates of bottom stress and sediment mobility contained in this database may be found in Dalyander and others (2012).

The database is organized by region. Select the region of interest from the table to access files showing previews of results, metadata, and sea floor stress and mobility statistics in Arc polygon and point shapefile format.
DOI: 10.25346/s6collfi/ioxhz9
title: msXV_028r_MMSI+overhead+W365G58_33_F.tif
DOI: 10.25346/s6collfi/l3pr5i
title: msXV_028r_MMSI+overhead+W365B47_37_F.tif
DOI: 10.25346/s6collfi/jeujnf
title: msXV_028r_MMSI+overhead+TX940IR_26_F.tif
DOI: 10.15468/dl.6xqnrv
title: Occurrence Download

description: A dataset containing 5881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is United States of America",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations)",
 "Geometry POLYGON((-79.05901 42.58421,-77.75926 42.58421,-77.75926 43.40946,-79.05901 43.40946,-79.05901 42.58421))",
 "OccurrenceStatus is Present",
 "TaxonKey is Circus hudsonius",
 "Year 2015-2025"
 ]
}

 The dataset includes 5881 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006519-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6collfi/onrxvp
title: msXV_028r_MMSI+overhead+TX735IR_25_F.tif
DOI: 10.25346/s6collfi/epvspr
title: msXV_028r_MMSI+overhead+TX630RD_24_F.tif
DOI: 10.25346/s6collfi/8o1ncs
title: msXV_028r_MMSI+overhead+TX1050R_28_F.tif
DOI: 10.25346/s6collfi/oirmow
title: msXV_028r_MMSI+overhead+TX1050R_27_F.tif
DOI: 10.25346/s6collfi/zihkj2
title: msXV_028r_MMSI+overhead+RR940IR_23_F.tif
DOI: 10.3886/e231595
title: Replication data for: New Evidence on Information Disclosure through Restaurant Hygiene Grading

description: The case of restaurant hygiene grading occupies a central role in information disclosure scholarship. Comparing Los Angeles, which enacted grading in 1998, with California from 1995–1999, Jin and Leslie (2003) found that grading reduced foodborne illness hospitalizations by 20 percent. Expanding hospitalization data and collecting new data on mandatorily reported illnesses, we show that this finding does not hold up under improvements to the original data and methodology. The largest salmonella outbreak in state history hit Southern California before Los Angeles implemented grading. Placebo tests detect the same treatment effects for Southern California counties, none of which changed restaurant grading.
DOI: 10.3886/e231595v1
title: Replication data for: New Evidence on Information Disclosure through Restaurant Hygiene Grading

description: The case of restaurant hygiene grading occupies a central role in information disclosure scholarship. Comparing Los Angeles, which enacted grading in 1998, with California from 1995–1999, Jin and Leslie (2003) found that grading reduced foodborne illness hospitalizations by 20 percent. Expanding hospitalization data and collecting new data on mandatorily reported illnesses, we show that this finding does not hold up under improvements to the original data and methodology. The largest salmonella outbreak in state history hit Southern California before Los Angeles implemented grading. Placebo tests detect the same treatment effects for Southern California counties, none of which changed restaurant grading.
DOI: 10.15468/dl.vdt26z
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Acacia caven (Molina) Molina",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 200 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010604-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15656364
title: Training data of PBCNet2.0

description: Our paper:Advancing Ligand Binding Affinity Prediction with Cartesian Tensor-Based Deep Learning (Under Review)

PBCNet2.0_training_BindingDB.zip contains all data extracted from BindingDB.

training_data_xxx.csv (.rar) serves as the training dataset for PBCNet2.0.Please note: Some data extracted from BindingDB were excluded from PBCNet2.0's training.
DOI: 10.5281/zenodo.18299525
title: Training data of PBCNet2.0

description: Our paper:Advancing Ligand Binding Affinity Prediction with Cartesian Tensor-Based Deep Learning (Under Review)

PBCNet2.0_training_BindingDB.zip contains all data extracted from BindingDB.

training_data_xxx.csv (.rar) serves as the training dataset for PBCNet2.0.Please note: Some data extracted from BindingDB were excluded from PBCNet2.0's training.
DOI: 10.5281/zenodo.18277415
title: Global CMIP6-based datasets of vegetation-responsive and feedback-deflated potential evapotranspiration (PETveg and WETveg)

description: This dataset provides global gridded estimates of vegetation-responsive potential evapotranspiration (PETveg) and its feedback-deflated counterpart (WETveg), derived consistently from 12 Earth System Models (ESMs) participating in CMIP6. PETveg is computed using a physically and physiologically based two-source Penman–Monteith formulation that explicitly accounts for evolving leaf area index (LAI), atmospheric CO2 concentration, and vapor pressure deficit (VPD) through dynamic aerodynamic and surface resistance terms. WETveg is subsequently obtained by applying the Complementary Evaporation Principle (CEP) to PETveg, reconstructing the atmospheric state over a saturated surface to remove land–atmosphere feedback amplification while retaining identical radiative forcing. The dataset spans the historical period (1850–2014) and four future Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) for 2015–2100. All variables are provided as monthly accumulations scaled to daily rates [mm d-1] on a common 1°×1° regular latitude–longitude grid in NetCDF format, with ocean grid cells masked. These datasets offer internally consistent yet physically distinct representations of atmospheric evaporative demand, enabling transparent evaluation of PET formulation uncertainty in hydrological, ecological, and climate-impact studies.
DOI: 10.5281/zenodo.18277416
title: Global CMIP6-based datasets of vegetation-responsive and feedback-deflated potential evapotranspiration (PETveg and WETveg)

description: This dataset provides global gridded estimates of vegetation-responsive potential evapotranspiration (PETveg) and its feedback-deflated counterpart (WETveg), derived consistently from 12 Earth System Models (ESMs) participating in CMIP6. PETveg is computed using a physically and physiologically based two-source Penman–Monteith formulation that explicitly accounts for evolving leaf area index (LAI), atmospheric CO2 concentration, and vapor pressure deficit (VPD) through dynamic aerodynamic and surface resistance terms. WETveg is subsequently obtained by applying the Complementary Evaporation Principle (CEP) to PETveg, reconstructing the atmospheric state over a saturated surface to remove land–atmosphere feedback amplification while retaining identical radiative forcing. The dataset spans the historical period (1850–2014) and four future Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) for 2015–2100. All variables are provided as monthly accumulations scaled to daily rates [mm d-1] on a common 1°×1° regular latitude–longitude grid in NetCDF format, with ocean grid cells masked. These datasets offer internally consistent yet physically distinct representations of atmospheric evaporative demand, enabling transparent evaluation of PET formulation uncertainty in hydrological, ecological, and climate-impact studies.
DOI: 10.15468/dl.zwhpgw
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.74028199999999 24.419009, 88.66316399999999 24.413432, 88.587964 24.39684, 88.516553 24.369645, 88.45070200000001 24.332524, 88.392042 24.286398, 88.34202000000001 24.232412, 88.30186399999999 24.171905, 88.272555 24.106374, 88.25479900000001 24.037439, 88.249015 23.966801, 88.25532699999999 23.896201, 88.273561 23.827375, 88.30324899999999 23.762015, 88.343647 23.701723, 88.393753 23.647977, 88.45232900000001 23.60209, 88.517937 23.565184, 88.58897 23.53816, 88.66369299999999 23.521677, 88.74028199999999 23.516138, 88.81687100000001 23.521677, 88.891594 23.53816, 88.962627 23.565184, 89.028235 23.60209, 89.086811 23.647977, 89.136917 23.701723, 89.17731499999999 23.762015, 89.207003 23.827375, 89.22523700000001 23.896201, 89.231549 23.966801, 89.225765 24.037439, 89.208009 24.106374, 89.17870000000001 24.171905, 89.138544 24.232412, 89.088522 24.286398, 89.02986199999999 24.332524, 88.964011 24.369645, 88.8926 24.39684, 88.81740000000001 24.413432, 88.74028199999999 24.419009))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004508-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58132/th8qxr
title: Room-temperature synthesis of ultrasmall redox-responsive nanogels for tumor-microenvironment-triggered drug release and in vivo tumor growth suppression

description: This study focuses on the easy and fast synthesis of exceptionally small nanogels. To the best of our knowledge, this is the first report of redox-degradable, multi-stimuli-responsive nanogels with a uniform diameter below 30 nm prepared entirely at room temperature without surfactants or organic solvents. pH- and thermo-responsive and degradable nanogels, with uniform diameters below 30 nm (TEM), were produced entirely at room temperature without surfactants or organic solvents, through a semi-batch radical polymerization of N-isopropylacrylamide (NIPA) with cross-linking achieved using the redox-sensitive linker N,N′-diacryloyl-L-cystine disodium salt (DACS), synthesized in our laboratory. Notably, these nanogels exhibited multifunctional attributes. The incorporation of COO- from DACS provided pH sensitivity, stability, and the capacity to bind the anticancer drug Epirubicin (EPB). Microscopy analysis confirmed that the nanogels degraded, especially in environments simulating cancer cells with high glutathione concentrations, which act as a reductor for -S-S- bridges. EPB release profiles indicated minimal release at pH 7.4, while the highest release occurred at pH 5.0 with cGSH = 40 mM, conditions typical of most cancer cells. The nanogel exhibited relatively high drug loading capacity (approx. 33%). As drug carriers, the EPB loaded nanogels exhibited high toxicity against cancer cells and low toxicity against healthy cells. In vivo analyses revealed variable but overall suppressive effects of the EPB loaded nanogel formulation on tumor growth, accompanied by areas of necrosis and fibrotic tissue remodeling. Our strategy opens a simple and green route toward next-generation stimuli-responsive nanogels for cancer chemotherapy.
DOI: 10.5281/zenodo.18334895
title: Data associated with the article "Ground Ice and Organic Matter Controls on Permafrost Stability in Ice-Rich Peatlands"
DOI: 10.5281/zenodo.18334894
title: Data associated with the article "Ground Ice and Organic Matter Controls on Permafrost Stability in Ice-Rich Peatlands"
DOI: 10.15468/dl.v9dhhw
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Theileria",
 "Year 2015-2022"
 ]
}

 The dataset includes 300 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004510-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brc2f4
title: Occurrence Download

description: A dataset containing 2482253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Grus canadensis"
 ]
}

 The dataset includes 2482253 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004482-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rsy2p
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.74028199999999 24.419009, 88.66316399999999 24.413432, 88.587964 24.39684, 88.516553 24.369645, 88.45070200000001 24.332524, 88.392042 24.286398, 88.34202000000001 24.232412, 88.30186399999999 24.171905, 88.272555 24.106374, 88.25479900000001 24.037439, 88.249015 23.966801, 88.25532699999999 23.896201, 88.273561 23.827375, 88.30324899999999 23.762015, 88.343647 23.701723, 88.393753 23.647977, 88.45232900000001 23.60209, 88.517937 23.565184, 88.58897 23.53816, 88.66369299999999 23.521677, 88.74028199999999 23.516138, 88.81687100000001 23.521677, 88.891594 23.53816, 88.962627 23.565184, 89.028235 23.60209, 89.086811 23.647977, 89.136917 23.701723, 89.17731499999999 23.762015, 89.207003 23.827375, 89.22523700000001 23.896201, 89.231549 23.966801, 89.225765 24.037439, 89.208009 24.106374, 89.17870000000001 24.171905, 89.138544 24.232412, 89.088522 24.286398, 89.02986199999999 24.332524, 88.964011 24.369645, 88.8926 24.39684, 88.81740000000001 24.413432, 88.74028199999999 24.419009))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004511-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14578392
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.25919/tm42-bg40
title: Spatially interpolated meteorological datasets for the Pilbara region of north-western Australia

description: This dataset has been produced using observation data from 48 weather stations located in the Pilbara region of north-western Australia. Weather stations maintained by both the Bureau of Meteorology and Rio Tinto were included in data surface production. Data has been interpolated at 0.01° resolution across this area for the purposes of open water evaporation modelling. The dataset spans the 10-year period between 1 July 2013 to 30 June 2023. The key parameters in the dataset are average daily vapour pressure, average daily wind speed at 2m height and average daily air temperature. The dataset also includes 0.01° resolution estimates of solar radiation which have been derived by resampling the 0.05-degree resolution Scientific Information for Land Owners (SILO) database (Jeffrey et al., 2001). Resampling to 0.01° resolution was undertaken using nearest neighbour resampling.
DOI: 10.6084/m9.figshare.30939814
title: Exploring experiential learning opportunities in pharmacogenomics for pharmacy education

description: Precision medicine is the future of healthcare, and pharmacists are well-positioned to play a key role in pharmacogenomics (PGx). Experiential learning offers valuable opportunities to gain hands-on experience in clinical PGx practices. This study aimed to explore experiential learning opportunities in PGx for pharmacy education. Four PGx clinics in the United States of America, which provide PGx services, were observed to assess the potential for experiential learning. Qualitative data were collected through observations of PGx clinic consultations and semi-structured interviews with four pharmacists, one at each site. This approach provided insight into the practice-based learning opportunities in PGx clinics to explore experiential learning. Multiple experiential learning opportunities were identified, including activities to develop knowledge and skills; conduct research; collaborate with an interprofessional team; create patient education resources; provide patient and healthcare education; provide comprehensive care; develop evidence-based medicine skills, including the use of PGx resources; address ethical, legal, and social implications of PGx, and leadership. Pharmacogenomics clinics offer valuable experiential learning opportunities for pharmacy education. Collaboration between healthcare and higher education institutions is essential to create these opportunities, ensuring the development of pharmacists who are prepared to meet future healthcare needs.
DOI: 10.6084/m9.figshare.30939814.v1
title: Exploring experiential learning opportunities in pharmacogenomics for pharmacy education

description: Precision medicine is the future of healthcare, and pharmacists are well-positioned to play a key role in pharmacogenomics (PGx). Experiential learning offers valuable opportunities to gain hands-on experience in clinical PGx practices. This study aimed to explore experiential learning opportunities in PGx for pharmacy education. Four PGx clinics in the United States of America, which provide PGx services, were observed to assess the potential for experiential learning. Qualitative data were collected through observations of PGx clinic consultations and semi-structured interviews with four pharmacists, one at each site. This approach provided insight into the practice-based learning opportunities in PGx clinics to explore experiential learning. Multiple experiential learning opportunities were identified, including activities to develop knowledge and skills; conduct research; collaborate with an interprofessional team; create patient education resources; provide patient and healthcare education; provide comprehensive care; develop evidence-based medicine skills, including the use of PGx resources; address ethical, legal, and social implications of PGx, and leadership. Pharmacogenomics clinics offer valuable experiential learning opportunities for pharmacy education. Collaboration between healthcare and higher education institutions is essential to create these opportunities, ensuring the development of pharmacists who are prepared to meet future healthcare needs.
DOI: 10.15468/dl.452za6
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.76409 24.420142, 88.686971 24.414565, 88.611771 24.397973, 88.540359 24.370778, 88.474507 24.333657, 88.415847 24.287531, 88.365824 24.233545, 88.325669 24.173038, 88.296359 24.107507, 88.27860200000001 24.038572, 88.272819 23.967934, 88.27913100000001 23.897334, 88.297365 23.828508, 88.32705300000001 23.763148, 88.367452 23.702856, 88.417558 23.64911, 88.476135 23.603223, 88.541743 23.566317, 88.61277699999999 23.539293, 88.6875 23.52281, 88.76409 23.517271, 88.84068000000001 23.52281, 88.915403 23.539293, 88.986437 23.566317, 89.05204500000001 23.603223, 89.11062200000001 23.64911, 89.16072800000001 23.702856, 89.201127 23.763148, 89.23081500000001 23.828508, 89.249049 23.897334, 89.25536099999999 23.967934, 89.249578 24.038572, 89.231821 24.107507, 89.202511 24.173038, 89.162356 24.233545, 89.11233300000001 24.287531, 89.053673 24.333657, 88.987821 24.370778, 88.916409 24.397973, 88.84120900000001 24.414565, 88.76409 24.420142))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004514-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ne53h
title: Occurrence Download

description: A dataset containing 13859258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China"
 ]
}

 The dataset includes 13859258 records from 7464 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004406-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wukj3
title: Occurrence Download

description: A dataset containing 30870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Platymiscium Vogel"
 ]
}

 The dataset includes 30870 records from 348 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013706-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.