cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16928327
title: Hydrodynamic Modeling and Fish Behavior Analysis for Reducing Entrainment Risk at Dam Intakes

description: Academic Description of the Dataset1. OverviewThe 'DATA.xlsx' dataset comprises eight sheets, each sheet focuses on distinct parameters relevant to the research.2. Sheet - by - Sheet Summary'measured and simulated': 419 rows, 6 columns. Compares measured and simulated values of velocity and turbulent kinetic energy, with spatial coordinates.'Entrainment rate': 46 rows, 6 columns. Deals with entrainment rates for different particle sizes and flow velocities in categorical format.'Trace': 2343 rows, 40 columns. Tracks movement, likely centroid positions under various conditions.'Speed': 2344 rows, 20 columns. Records speed data for different flow velocities.Other sheets: 'acceleration', 'Tail_Angle', 'Tail_Amplitude', 'Frequency' record respective movement - related parameters.3. Data SourcesCombines physical experiment (measured) and computer simulation (simulated) data, with use of established models.4. ApplicationsUseful for small hydropower research, engineering design, and model validation.

Academic Description of the Hydropower Station Dataset1. OverviewThis dataset integrates data from over 900 hydropower stations nationwide, with 946 records and 30 columns. It's crucial for real - time hydropower monitoring and related research.2. Key DataLocation: plant_lat and plant_lon offer geographical coordinates.Identity: Each station has an ID and name.Technical Details: capacity_m shows installed capacity; year gives relevant time info; river indicates its water source.3. SourcesData comes from reliable places like WRI and the UNFCCC's CDM database, ensuring credibility.4. ApplicationsSupports real - time monitoring, aids academic research on hydropower trends, and helps policymakers plan energy strategies.
DOI: 10.5281/zenodo.16928328
title: Hydrodynamic Modeling and Fish Behavior Analysis for Reducing Entrainment Risk at Dam Intakes

description: Academic Description of the Dataset1. OverviewThe 'DATA.xlsx' dataset comprises eight sheets, each sheet focuses on distinct parameters relevant to the research.2. Sheet - by - Sheet Summary'measured and simulated': 419 rows, 6 columns. Compares measured and simulated values of velocity and turbulent kinetic energy, with spatial coordinates.'Entrainment rate': 46 rows, 6 columns. Deals with entrainment rates for different particle sizes and flow velocities in categorical format.'Trace': 2343 rows, 40 columns. Tracks movement, likely centroid positions under various conditions.'Speed': 2344 rows, 20 columns. Records speed data for different flow velocities.Other sheets: 'acceleration', 'Tail_Angle', 'Tail_Amplitude', 'Frequency' record respective movement - related parameters.3. Data SourcesCombines physical experiment (measured) and computer simulation (simulated) data, with use of established models.4. ApplicationsUseful for small hydropower research, engineering design, and model validation.

Academic Description of the Hydropower Station Dataset1. OverviewThis dataset integrates data from over 900 hydropower stations nationwide, with 946 records and 30 columns. It's crucial for real - time hydropower monitoring and related research.2. Key DataLocation: plant_lat and plant_lon offer geographical coordinates.Identity: Each station has an ID and name.Technical Details: capacity_m shows installed capacity; year gives relevant time info; river indicates its water source.3. SourcesData comes from reliable places like WRI and the UNFCCC's CDM database, ensuring credibility.4. ApplicationsSupports real - time monitoring, aids academic research on hydropower trends, and helps policymakers plan energy strategies.
DOI: 10.15468/dl.mu8hhg
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ondatra zibethicus",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 135 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032448-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwh9sz
title: Occurrence Download

description: A dataset containing 3192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Drosophila suzukii",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3192 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032447-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhyscq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Drosophila suzukii",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032449-250811113504898/datasets/export for details.
DOI: 10.7910/dvn/mpkdxe
title: Mouse digit AAV gene delivery into fibroblasts regulates regenerative outcome

description: Raw data for "Mouse digit AAV gene delivery into fibroblasts regulates regenerative outcome"
DOI: 10.5281/zenodo.16921101
title: dataset and codes for the submission of  "A Study of AI-driven Knowledge Distillation for Efficient Geospatial Modeling"

description: This zip file includes all codes and data for the journal submission.

Basic Descriptive Statistics of Boston Housing Dataset

 

Mean and Standard Error of all Variables

 






Variables



Mean



Std. Error





CRIM



3.61187



0.3955





ZN



11.21  



1.0609





INDUS     



11.08



0.3100





CHAS



0.0699



0.0115





NOX      



0.5547



0.0051





RM



6.285



0.0312





AGE



68.52



1.2700





DIS



3.795



0.0936





RAD      



9.549



0.3870





TAX      



408.2  



7.4923





PTRATIO   



18.46



0.09624





B  



356.67  



4.0585





LSTAT     



12.715



0.3245





MEDV



22.53



0.4088





 

 

Basic Descriptive Statistics of Rustbelt States Dataset

Mean and Standard Error of all Variables

 






Variables



Mean



Std. Error





ALWAYS



4.484305e-12



0.03866





Housi_Unit  



5.979074e-12



0.03866





Education      



2.989537e-12



0.03866





Income



-2.989537e-12



0.03866





elect_ults  



5.979072e-12



0.03866





cases



-2.989539e-12



0.03866





deaths   



6.726457e-11



0.03866





Urate



1.345291e-11



0.03866
DOI: 10.5281/zenodo.16921102
title: dataset and codes for the submission of  "A Study of AI-driven Knowledge Distillation for Efficient Geospatial Modeling"

description: This zip file includes all codes and data for the journal submission.

Basic Descriptive Statistics of Boston Housing Dataset

 

Mean and Standard Error of all Variables

 






Variables



Mean



Std. Error





CRIM



3.61187



0.3955





ZN



11.21  



1.0609





INDUS     



11.08



0.3100





CHAS



0.0699



0.0115





NOX      



0.5547



0.0051





RM



6.285



0.0312





AGE



68.52



1.2700





DIS



3.795



0.0936





RAD      



9.549



0.3870





TAX      



408.2  



7.4923





PTRATIO   



18.46



0.09624





B  



356.67  



4.0585





LSTAT     



12.715



0.3245





MEDV



22.53



0.4088





 

 

Basic Descriptive Statistics of Rustbelt States Dataset

Mean and Standard Error of all Variables

 






Variables



Mean



Std. Error





ALWAYS



4.484305e-12



0.03866





Housi_Unit  



5.979074e-12



0.03866





Education      



2.989537e-12



0.03866





Income



-2.989537e-12



0.03866





elect_ults  



5.979072e-12



0.03866





cases



-2.989539e-12



0.03866





deaths   



6.726457e-11



0.03866





Urate



1.345291e-11



0.03866
DOI: 10.15468/dl.fz28ga
title: Occurrence Download

description: A dataset containing 4866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ondatra zibethicus",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4866 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032450-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mn6nry
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Hatikka.fi observations",
 "Country is Croatia"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032451-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfphbn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Xeno-canto - Chiroptera sounds from around the world",
 "Country is Croatia"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032453-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16897524
title: Data for "Severe water crisis in southern Spain under expanding irrigated agriculture: A multidimensional drought analysis"

description: Time series and spatial data behind the figures and analysis in:  Junquera, V., Hormaza, J.I., Rubenstein, D.I., Levin, S.A., Vadillo Pérez, I., and Jiménez Gavilán, P. (2025). "Severe water crisis in southern Spain under expanding irrigated agriculture: A multidimensional drought analysis", Proceedings of the National Academies of Sciences, 10.1073/pnas.2508055122.1 

Specifically, we include original data (quality checked and formatted), used in Fig. 1B-F and Figures 2-4 in the manuscript and Figure S5 in the SI, as well as calculated SPI values (Figure 2).

We do not include calculated trendlines (stl) (Figs. S1, S4, S6) or calculated SPI values for the expanded precipitation series (Figure S2 bottom). We do not include data for Fig. 1A as these data are accessible online and not used in the analysis.
DOI: 10.5281/zenodo.16928346
title: Data for "Severe water crisis in southern Spain under expanding irrigated agriculture: A multidimensional drought analysis"

description: Time series and spatial data behind the figures and analysis in:  Junquera, V., Hormaza, J.I., Rubenstein, D.I., Levin, S.A., Vadillo Pérez, I., and Jiménez Gavilán, P. (2025). "Severe water crisis in southern Spain under expanding irrigated agriculture: A multidimensional drought analysis", Proceedings of the National Academies of Sciences, 10.1073/pnas.2508055122.1 

Specifically, we include original data (quality checked and formatted), used in Fig. 1B-F and Figures 2-4 in the manuscript and Figure S5 in the SI, as well as calculated SPI values (Figure 2).

We do not include calculated trendlines (stl) (Figs. S1, S4, S6) or calculated SPI values for the expanded precipitation series (Figure S2 bottom). We do not include data for Fig. 1A as these data are accessible online and not used in the analysis.
DOI: 10.5281/zenodo.16538734
title: Eaton Fire Ash Mapping and Analysis: Field Spectroscopy

description: Dataset Contents

This dataset was created to better understand the devastating Eaton Fire of January 2025. The fire contaminated a large area across Altadena, Pasadena, and Sierra Madre California with hazardous ash and soot. To improve both the response and recovery to this event, members of the NASA Jet Propulsion Laboratory, California Institute of Technology, the University of California, Los Angeles, and the California Institute of Technology collected and analyzed ash samples taken in and near the Eaton Fire burn scar.

This dataset includes handheld spectroscopy measurements for 87 ash samples as well as documentation, metadata, and code examples.

An interactive version of these spectra is available online: https://ecosis.org/package/eaton-fire-ash-mapping-and-analysis--field-spectroscopy

Funding Acknowledgements

This research was funded by multiple organizations. Part of the research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004). The Caltech contribution was funded by Caltech’s Division of Geological and Planetary Sciences. A portion of this field spectroscopy work was supported by the NASA FireSense program.
DOI: 10.5281/zenodo.16538735
title: Eaton Fire Ash Mapping and Analysis: Field Spectroscopy

description: Dataset Contents

This dataset was created to better understand the devastating Eaton Fire of January 2025. The fire contaminated a large area across Altadena, Pasadena, and Sierra Madre California with hazardous ash and soot. To improve both the response and recovery to this event, members of the NASA Jet Propulsion Laboratory, California Institute of Technology, the University of California, Los Angeles, and the California Institute of Technology collected and analyzed ash samples taken in and near the Eaton Fire burn scar.

This dataset includes handheld spectroscopy measurements for 87 ash samples as well as documentation, metadata, and code examples.

An interactive version of these spectra is available online: https://ecosis.org/package/eaton-fire-ash-mapping-and-analysis--field-spectroscopy

Funding Acknowledgements

This research was funded by multiple organizations. Part of the research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004). The Caltech contribution was funded by Caltech’s Division of Geological and Planetary Sciences. A portion of this field spectroscopy work was supported by the NASA FireSense program.
DOI: 10.15468/dl.94hhna
title: Occurrence Download

description: A dataset containing 753010 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is INBO collaborator Occurrences of plants recorded in waarnemingen.be in Flanders, Belgium"
 ]
}

 The dataset includes 753010 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032435-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16924626
title: General Relativistic Extension of the Exponential Radius Law Near the Eddington Limit

description: This work introduces a surface-based photogravitational framework that unifies radiation and gravity through the parameter Φ = L/(M g), evaluated near the Eddington limit. By relying exclusively on observable surface quantities, the method avoids dependence on interior stellar models while remaining compatible with stellar evolution codes such as MESA. The framework incorporates opacity effects (including OPAL tables), relativistic corrections, and dynamical processes such as mass loss and winds.

 

The principal outcome is a modified exponential law for stellar radius evolution, applicable to compact stars in near-Eddington regimes. As Φ approaches its boundary value in strong-field domains, the framework indicates deeper connections with horizon thermodynamics and suggests a potential conceptual bridge to quantum gravity. It thereby provides both a practical diagnostic for stellar structure and a unifying theoretical perspective spanning classical and relativistic regimes.
DOI: 10.5281/zenodo.16924625
title: General Relativistic Extension of the Exponential Radius Law Near the Eddington Limit

description: This work introduces a surface-based photogravitational framework that unifies radiation and gravity through the parameter Φ = L/(M g), evaluated near the Eddington limit. By relying exclusively on observable surface quantities, the method avoids dependence on interior stellar models while remaining compatible with stellar evolution codes such as MESA. The framework incorporates opacity effects (including OPAL tables), relativistic corrections, and dynamical processes such as mass loss and winds.

 

The principal outcome is a modified exponential law for stellar radius evolution, applicable to compact stars in near-Eddington regimes. As Φ approaches its boundary value in strong-field domains, the framework indicates deeper connections with horizon thermodynamics and suggests a potential conceptual bridge to quantum gravity. It thereby provides both a practical diagnostic for stellar structure and a unifying theoretical perspective spanning classical and relativistic regimes.
DOI: 10.15468/dl.5rgh8n
title: Occurrence Download

description: A dataset containing 38853 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Invasive species - American bullfrog (Lithobates catesbeianus) in Flanders, Belgium (post 2018)"
 ]
}

 The dataset includes 38853 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032456-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ay3wg7
title: Occurrence Download

description: A dataset containing 652 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anchoa mitchilli",
 "Year 2015-2025"
 ]
}

 The dataset includes 652 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032457-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afwsy3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NHMO DNA Bank Vascular plants collection",
 "Country is Croatia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032454-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yumvax
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ondatra zibethicus",
 "Country is Serbia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 53 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032459-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jw5zcy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Polistes dominula",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032460-250811113504898/datasets/export for details.
DOI: 10.15468/dl.2hxb7c
title: Occurrence Download

description: A dataset containing 43957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leucophaeus modestus"
 ]
}

 The dataset includes 43957 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032452-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkerjn
title: Occurrence Download

description: A dataset containing 678090 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crocidura russula, Alnus incana, Epilobium brunnescens, Rubus spectabilis, Hydroides heterocera, Hydroides homoceros, Hydroides minax, Terebella ehrenbergi, Batocera rufomaculata, Xystrocera globosa, Apis florea, Spodoptera littoralis, Alpheus edwardsii, Alpheus inopinatus, Alpheus rapacida, Metapenaeus stebbingi, Heterosaccus dollfusi, Atherinomorus lacunosus, Herklotsichthys punctatus, Etrumeus sadina, Aphanius dispar, Liza carinata, Callionymus filamentosus, Lagocephalus suezensis, Sillago sihama, Streptopelia senegalensis, Lamprotornis superbus, Agapornis roseicollis, Acridotheres burmannicus, Nandayus nenday, Aquilonastra burtoni, Tetrancistrum polymorphum, Tetrancistrum strophosolenus, Tetrancistrum suezicum, Chama pacifica, Monilicaecum ventricosum, Cyperus odoratus, Atriplex holocarpa, Acacia salicina, Acacia victoriae, Acacia sclerosperma, Barbronia weberi, Piscicola geometra, Erigone autumnalis, Aceria tristriata, Reticulitermes urbis, Daphnia parvula, Moina affinis, Apate monachus, Anoplophora chinensis)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 678090 records from 1302 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032401-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fs62wd
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Invertebrate Zoology Division, Yale Peabody Museum",
 "Country is Croatia"
 ]
}

 The dataset includes 61 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032462-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ubbk7
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ondatra zibethicus",
 "Country is Slovenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032464-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thk2ht
title: Occurrence Download

description: A dataset containing 2166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Birda - Global Observation Dataset",
 "Country is Croatia"
 ]
}

 The dataset includes 2166 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032461-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5d2t77
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is MVZ Mammal Collection (Arctos)",
 "Country is Croatia"
 ]
}

 The dataset includes 53 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032463-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16928429
title: RS PRISMA ULTRASONIDO CEREALES PSEUDOCEREALES
DOI: 10.5281/zenodo.16928430
title: RS PRISMA ULTRASONIDO CEREALES PSEUDOCEREALES