cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30084007.v1
title: GIS datasets: A data-driven approach to understanding the relations between geothermal exploration parameters: insights from Coso, Brady and Desert Peak, USA

description: GIS datasets that were used in the study. The GIS data can be opened in either QGIS or ArcGIS. The files are separated into the folders 'CGF' and 'BGF-DPGF'. The root folders contain the research areas (ROI) and locations. 
The 'Indicator mineral' folder contains the initial Mineral Mapping raster of the five target minerals (Alu., Chd., Hem., Kln., and Opl.), which were converted to the point data of Two-Class Mineral Maps (including a Non-Prediction dataset for areas without mapped minerals). The folder also includes normalized Mineral Density Maps.
The 'Fault' folder contains the initial Fault Traces, Fault Distance Maps, and normalized Fault Density Maps.
The 'LST' folder contains normalized Multiclass Temperature Maps, and the Two-class Temperature Maps that include both converted point data of high temperature (HT) areas and low temperature (LT) areas.
DOI: 10.6084/m9.figshare.30084010
title: Figures S11 to S17: A data-driven approach to understanding the relations between geothermal exploration parameters: insights from Coso, Brady and Desert Peak, USA

description: Figure S11. Colocation of faults and neighbouring indicator minerals at CGF. 
Figure S12. Colocation of faults and neighbouring indicator minerals at BGF. 
Figure S13. Colocation of faults and neighbouring indicator minerals at DPGF.
Figure S14. Colocation maps of faults and neighbouring high temperatures.
Figure S15. Colocation of high temperatures and neighbouring indicator minerals at CGF. 
Figure S16. Colocation of high temperatures and neighbouring indicator minerals at BGF. 
Figure S17. Colocation of high temperatures and neighbouring indicator minerals at DPGF.
DOI: 10.6084/m9.figshare.30084010.v1
title: Figures S11 to S17: A data-driven approach to understanding the relations between geothermal exploration parameters: insights from Coso, Brady and Desert Peak, USA

description: Figure S11. Colocation of faults and neighbouring indicator minerals at CGF. 
Figure S12. Colocation of faults and neighbouring indicator minerals at BGF. 
Figure S13. Colocation of faults and neighbouring indicator minerals at DPGF.
Figure S14. Colocation maps of faults and neighbouring high temperatures.
Figure S15. Colocation of high temperatures and neighbouring indicator minerals at CGF. 
Figure S16. Colocation of high temperatures and neighbouring indicator minerals at BGF. 
Figure S17. Colocation of high temperatures and neighbouring indicator minerals at DPGF.
DOI: 10.6084/m9.figshare.30084013
title: Figures S1 to S10: A data-driven approach to understanding the relations between geothermal exploration parameters: insights from Coso, Brady and Desert Peak, USA

description: Figure S1. Illustration of indicator mineral map datasets.
Figure S2. Illustration of fault map datasets.
Figure S3. Fault system at CGF.
Figure S4. Fault system at BGF and DPGF.
Figure S5. Illustration of LST datasets.
Figure S6. Histograms and CDF plots of Two-Class Mineral Maps versus Fault Distance Maps.
Figure S7. Histograms and CDF plots of Two-Class Mineral Maps versus Fault Density Maps.
Figure S8. Histograms and CDF plots of Two-class Temperature Maps versus fault datasets. The top two rows correspond to Fault Distance Maps, while the bottom two rows correspond to Fault Density Maps.
Figure S9. Histograms and CDF plots of Two-Class Mineral Maps versus Multiclass Temperature Map.
Figure S10. The multiple comparisons of ANOVA. The plots show the mean estimates (circles) and 95% confidence intervals (bars) for each group of SGP. Red symbols highlight groups with Significant Differences from the control group (blue). Grey symbols indicate groups with Insignificant Differences where confidence intervals overlap with the control group.
DOI: 10.6084/m9.figshare.30084013.v1
title: Figures S1 to S10: A data-driven approach to understanding the relations between geothermal exploration parameters: insights from Coso, Brady and Desert Peak, USA

description: Figure S1. Illustration of indicator mineral map datasets.
Figure S2. Illustration of fault map datasets.
Figure S3. Fault system at CGF.
Figure S4. Fault system at BGF and DPGF.
Figure S5. Illustration of LST datasets.
Figure S6. Histograms and CDF plots of Two-Class Mineral Maps versus Fault Distance Maps.
Figure S7. Histograms and CDF plots of Two-Class Mineral Maps versus Fault Density Maps.
Figure S8. Histograms and CDF plots of Two-class Temperature Maps versus fault datasets. The top two rows correspond to Fault Distance Maps, while the bottom two rows correspond to Fault Density Maps.
Figure S9. Histograms and CDF plots of Two-Class Mineral Maps versus Multiclass Temperature Map.
Figure S10. The multiple comparisons of ANOVA. The plots show the mean estimates (circles) and 95% confidence intervals (bars) for each group of SGP. Red symbols highlight groups with Significant Differences from the control group (blue). Grey symbols indicate groups with Insignificant Differences where confidence intervals overlap with the control group.
DOI: 10.6084/m9.figshare.30084016
title: GIS datasets from the colocation analyses: A data-driven approach to understanding the relations between geothermal exploration parameters: insights from Coso, Brady and Desert Peak, USA

description: GIS datasets from the colocation analyses. The GIS data could be open in either QGIS or ArcGIS. The files were separated into the folders of CGF and BGF, and DPGF. In addition to the abbreviations of mineral, the abbreviations of FM, FT, and TM in the file name refer to: FM, colocation of faults and neighbouring indicator minerals; FT, colocation maps of faults and neighbouring high temperature; TM, colocation of high temperatures and neighbouring indicator minerals.
DOI: 10.6084/m9.figshare.30084016.v1
title: GIS datasets from the colocation analyses: A data-driven approach to understanding the relations between geothermal exploration parameters: insights from Coso, Brady and Desert Peak, USA

description: GIS datasets from the colocation analyses. The GIS data could be open in either QGIS or ArcGIS. The files were separated into the folders of CGF and BGF, and DPGF. In addition to the abbreviations of mineral, the abbreviations of FM, FT, and TM in the file name refer to: FM, colocation of faults and neighbouring indicator minerals; FT, colocation maps of faults and neighbouring high temperature; TM, colocation of high temperatures and neighbouring indicator minerals.
DOI: 10.6084/m9.figshare.30084019
title: Tables S1 to S5: A data-driven approach to understanding the relations between geothermal exploration parameters: insights from Coso, Brady and Desert Peak, USA

description: Table S1. The K–S test result. The null hypothesis was rejected in most cases, showing that the distributions of datasets are primarily different.
Table S2. The p-values of the coefficients and intercepts from the linear regression models of Fault Density Maps fit by Mineral Density Maps.
Table S3. The p-values of the coefficients and intercepts from the linear regression models of Multiclass Temperature Maps fit by Fault Density Map and Mineral Density Maps.
Table S4. The AIC values from the regression models of Fault Density Maps fit by Mineral Density Maps.
Table S5. The AIC values from the regression models of Multiclass Temperature Maps fit by Fault Density Map and Mineral Density Maps.
DOI: 10.6084/m9.figshare.30084019.v1
title: Tables S1 to S5: A data-driven approach to understanding the relations between geothermal exploration parameters: insights from Coso, Brady and Desert Peak, USA

description: Table S1. The K–S test result. The null hypothesis was rejected in most cases, showing that the distributions of datasets are primarily different.
Table S2. The p-values of the coefficients and intercepts from the linear regression models of Fault Density Maps fit by Mineral Density Maps.
Table S3. The p-values of the coefficients and intercepts from the linear regression models of Multiclass Temperature Maps fit by Fault Density Map and Mineral Density Maps.
Table S4. The AIC values from the regression models of Fault Density Maps fit by Mineral Density Maps.
Table S5. The AIC values from the regression models of Multiclass Temperature Maps fit by Fault Density Map and Mineral Density Maps.
DOI: 10.5281/zenodo.16926373
title: Data_Earlier reproductive phenology of restored grasslands

description: Dataset of intraspecific and interspecific variation in the timing of reproductive phenology (flowering, seed ripening, or seed dispersal) of 16 plant species on restored and semi-natural meadows. 

Data was collected on 47 restored and 17 ancient, semi-natural floodplain meadows in the Upper Rhine Valley, Germany, scattered in an area approximately 1x3.5 km (49° 51’N, 8° 24’E) during 17 days between May 27 and June 12, 2020. 

For R-Code of corresponding data analyses see: https://doi.org/10.5281/zenodo.17035443

 




Locality
Numeric meadow ID


Restored
"s" = semi-natural meadow, "r" = restored meadow


Species
Observed plant species


Phenology
The day of the data collection period on wich the respective "PhenologyEvent" of each species was observed for the first time


PhenologyEvent
The specific phenological stage that was recorded for each species. 


PhenRank
Phenology rank that represents a semiquantitative gradient from early (rank 1) to late development (rank 12) of the 16 species. When the same phenology event was observed for two species, we assigned them the same phenology rank.
DOI: 10.5281/zenodo.16927200
title: Data_Earlier reproductive phenology of restored grasslands

description: Dataset of intraspecific and interspecific variation in the timing of reproductive phenology (flowering, seed ripening, or seed dispersal) of 16 plant species on restored and semi-natural meadows. 

Data was collected on 47 restored and 17 ancient, semi-natural floodplain meadows in the Upper Rhine Valley, Germany, scattered in an area approximately 1x3.5 km (49° 51’N, 8° 24’E) during 17 days between May 27 and June 12, 2020. 

For R-Code of corresponding data analyses see: https://doi.org/10.5281/zenodo.17035443

 




Locality
Numeric meadow ID


Restored
"s" = semi-natural meadow, "r" = restored meadow


Species
Observed plant species


Phenology
The day of the data collection period on wich the respective "PhenologyEvent" of each species was observed for the first time


PhenologyEvent
The specific phenological stage that was recorded for each species. 


PhenRank
Phenology rank that represents a semiquantitative gradient from early (rank 1) to late development (rank 12) of the 16 species. When the same phenology event was observed for two species, we assigned them the same phenology rank.
DOI: 10.15468/dl.7vgwtu
title: Occurrence Download

description: A dataset containing 886181 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deschampsia cespitosa"
 ]
}

 The dataset includes 886181 records from 1801 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044820-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xv5ym7
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tilia oliveri Szyszyl."
 ]
}

 The dataset includes 145 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004234-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ltncd6
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Faramea pedicellaris Müll.Arg."
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000487-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdn7pe
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psammolestes tertius Lent & Jurberg, 1966",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 128 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025915-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wuahe
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum deflexicarpum C.Y.Wu & S.C.Huang"
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004222-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ug5ynr
title: Occurrence Download

description: A dataset containing 4556978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1980-2023"
 ]
}

 The dataset includes 4556978 records from 2380 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056452-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mqhwx
title: Occurrence Download

description: A dataset containing 63688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Valeriana dioica L."
 ]
}

 The dataset includes 63688 records from 341 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075573-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-31754
title: Correspondence book No. 4 of Pentecostal Missionary Union [PMU], 1921-1923

description: [description english/roman)] Pentecostal Missionary Union [PMU] Correspondence book No. 4 including 2012 pages of PMU outgoing correspondence; 50 pages of subject index.
DOI: 10.15468/dl.6btszg
title: Occurrence Download

description: A dataset containing 4382 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Continent is North America",
 "Continent is South America"
 ]
 },
 "TaxonKey is Tecoma stans (L.) Juss. ex Kunth"
 ]
}

 The dataset includes 4382 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0335517-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vae29c
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylorhiza venusta (M.E.Jones) A.Heller"
 ]
}

 The dataset includes 425 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202276-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmpnhv
title: Occurrence Download

description: A dataset containing 516654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ralstonia solanacearum, Ralstonia solanacearum, Ralstonia solanacearum, Ralstonia solanacearum, Ralstonia solanacearum (Smith, 1896), Ralstonia solanacearum species complex bacterium KE101, Ralstonia solanacearum species complex bacterium KE056, Ralstonia solanacearum species complex bacterium RW470, Ralstonia solanacearum species complex bacterium KE449, Ralstonia solanacearum species complex bacterium KE100, Ralstonia solanacearum Safni et al., 2014, Ralstonia solanacearum species complex bacterium KE055, Ralstonia solanacearum species complex bacterium ZIM076, Ralstonia solanacearum species complex bacterium KE711, Ralstonia solanacearum (Smith) Yabuuchi et al., Ralstonia solanacearum (Smith, 1896) Yabuuchi & al., 1996, Ralstonia solanacearum (Smith, 1896) Yabuuchi & al., 1996, Ralstonia solanacearum (Smith, 1896) Yabuuchi et al., 1996, Ralstonia solanacearum (Smith, 1896) Yabuuchi et al., 1996, Ralstonia solanacearum (Smith, 1896) Yabuuchi et al., 1996, Ralstonia solanacearum (Smith, 1896) Yabuuchi et al., 1996, Ralstonia solanacearum (Smith, 1896) Yabuuchi et al., 1995, Ralstonia solanacearum (Smith, 1896) Yabuuchi et al., 1996, Ralstonia solanacearum (Smith, 1896) Yabuuchi et al., 1996, Ralstonia solanacearum (Smith, 1896) Yabuuchi et al., 1996, Ralstonia solanacearum (Smith, 1896) Yabuuchi et al., 1996, Ralstonia syzygii (Roberts et al., 1990) Vaneechoutte et al., 2004, Ralstonia pseudosolanacearum Safni et al., 2014, Bacillus amyloliquefaciens Priest et al., 1987, Cupriavidus metallidurans (Goris et al., 2001) Vandamme & Coenye, 2004, Ralstonia pseudosolanacearum Safni et al., 2014, Anthurium clarinervium Matuda, Chaetomium cupreum L.M Ames, 1949, Solanum dulcamara L. 1753, Solanum dulcamara L., Solanum tuberosum L., Banana, Burkholderia solanacearum (Smith, 1896) Yabuuchi et al., 1993, Pseudomonas solanacearum (Smith, 1896) Smith, 1914, Pseudomonas solanacearum (Smith, 1896) Smith, 1914, Burkholderia solanacearum (Smith, 1896) Yabuuchi et al., 1993, Burkholderia solanacearum (Smith, 1896) Yabuuchi et al., 1993, Pseudomonas solanacearum (Smith, 1896) Smith, 1914, Pseudomonas solanacearum (Smith, 1896) Smith, 1914, Pseudomonas solanacearum (Smith, 1896) Smith, 1914, Burkholderia solanacearum (Smith, 1896) Yabuuchi et al., 1993)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 516654 records from 2484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202261-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m784ch
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anemia tabascana Carv.-Hern., E.E.Cord. & T.Krömer"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143890-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfgv4p
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Endotropis alnifolia (L'Hér.) Hauenschild",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 91 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0166416-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtr8f4
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grewia helicterifolia Wall."
 ]
}

 The dataset includes 56 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014243-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdbb0o
title: Occurrence Download

description: A dataset containing 2472 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liodessus Guignot, 1939"
 ]
}

 The dataset includes 2472 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026116-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whcqk7
title: Occurrence Download

description: A dataset containing 1681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amelanchier alnifolia (Nutt.) Nutt.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Continent is North America"
 ]
}

 The dataset includes 1681 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0166424-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3dpm8
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Haworthia magnifica Poelln."
 ]
}

 The dataset includes 64 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014244-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4w1dz
title: Occurrence Download

description: A dataset containing 539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Koelreuteria paniculata Laxm.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 539 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026116-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3q47v
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Planktic foraminifera abundance of Hole 23-226"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215672-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eh5pyq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium varangerense (Elfstr.) Elfstr."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021270-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nvt8w
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dryopteris arguta (Kaulf.) Watt",
 "Year 1996-2000"
 ]
}

 The dataset includes 127 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0152181-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.