cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25921/xe9d-0049
title: NOAA/WDS Paleoclimatology - Kaiser - Yakutat Alsek Logging Road - PCSI - ITRDB AK137

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Raw Measurements file added 2019-02-08.
DOI: 10.6084/m9.figshare.30366415
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.30366415.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: 10.15468/dl.5hjzrg
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polyplacophora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((70 20,80 20,80 30,70 30,70 20))"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024698-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxjxy9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polyplacophora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((80 20,90 20,90 30,80 30,80 20))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024699-251009101135966/datasets/export for details.
DOI: 10.25921/xesw-aw58
title: NOAA/WDS Paleoclimatology - Kenigsberg - Smithers Ski - ABLA - ITRDB CANA381

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Raw Measurements file added 2019-02-04.
DOI: 10.6084/m9.figshare.30366418
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.30366418.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: 10.25921/xc52-r026
title: NOAA/WDS Paleoclimatology - Voelker - Southeastern Missouri - QUVE - ITRDB MO053

description: Despite experimental evidence showing that elevated CO2 levels increase growth in most plants, the isolation of a signal consistent with anthropogenically caused increases in atmospheric CO2 from the dendrochronological record has shown mixed results. Our extensive sets of tree ring data from the Ozark Mountains in Missouri showed that since 1850, Quercus velutina Lam., Quercus coccinea Muench., and Pinus echinata Mill. trees increased in stem growth coincidently with increases in atmospheric CO2. Those long-term increases in radial growth appear unrelated to historical disturbance levels for the region, to long-term changes in relevant climatic variables, or to productivity of sites sampled for the purpose of creating a time sequence of tree ring growth. It is still unclear what the potential role of nitrogen deposition might have been for tree growth. We cross-dated a large number of increment cores and aligned the ring width data by pith date for accurate age constant assessments of growth over the past 150 years. Thus, we circumvented changes in growth trend associated with differences in physiological functioning during development, as well as the need for statistical detrending that removes an unknown degree of long-term environmental signal, the so called segment length curse that applies to standard dendrochronological investigations. When the positive relationship between CO2 and ring width was examined at different ages, an ontogenetic decline in the rate of growth stimulation was found. Specifically, both the pooled Quercus spp. and P. echinata were characterized by a negative exponential pattern of response over a developmental sequence through age 50. Further knowledge of an intrinsic decline in CO2 sensitivity with tree age or size such as this may be important for increased accuracy in estimating terrestrial carbon stocks across successional landscapes.
description: Cores Stored at:
# Oregon State University
# 
# Data are from randomly located plots centered on the Current River 
# watershed. The second-growth stands sampled were dominated by black 
# oak, scarlet oak and shortleaf pine. NOAA Template Raw Measurements file added 2019-02-08.

Publication DOI: 10.1890/0012-9615(2006)076[0549:HCGEDW]2.0.CO;2
DOI: 10.6084/m9.figshare.30366421
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.30366421.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: 10.25921/x6nq-df62
title: NOAA/WDS Paleoclimatology - Dobry - Seymour Watershed Vancouver Upper - THPL - CANA110, PAGES North America 2K Version

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
DOI: 10.6084/m9.figshare.30366424
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 Brady, Coso and Desert Peak. 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.30366424.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 Brady, Coso and Desert Peak. 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: 10.25921/xs0c-6a85
title: NOAA/WDS Paleoclimatology - Szeicz - Campbell Dolomite Upland - PCGL - CANA138, PAGES North America 2K Version

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
DOI: 10.6084/m9.figshare.30366427
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.30366427.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: 10.25921/xw43-4b51
title: NOAA/WDS Paleoclimatology - Youngblut - Saskatchewan - PIAL - CANA357, PAGES North America 2K Version

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
DOI: 10.25921/xsme-jq38
title: NOAA/WDS Paleoclimatology - Esper - More Ju - PCOB - ITRDB RUSS237

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: forest enclaves within the subarctic tundra; Krummholz
# # # Slope S 5
# # # Formerly MOR NOAA Template Raw Measurements file added 2019-04-08.
DOI: 10.25921/x4sr-pz16
title: NOAA/WDS Paleoclimatology - Bräker - Muehletaler Halde - FASY - ITRDB SWIT367

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: Collection purpose: 
# Thinning
# 
# Cores are stored at: 
# disposed
# 
# Notes: 
# Slope N 50%
# Formerly Zofingen_Buche_n26_1997.fh
# 
# References:
# Schmid, S.; Zingg, A.; Biber, P.; Bugmann, H., (2006): 
# Evaluation of the forest growth model SILVA along an elevational gradient in Switzerland. 
# Eur. J. For. Res. 125: 43-55. NOAA Template Raw Measurements file added 2019-02-05.
DOI: 10.25921/xr20-t362
title: NOAA/WDS Paleoclimatology - Zgraggen - Madouc - FASY - ITRDB SWIT302

description: Tree ring data from the International Tree Ring Data Bank and World Data Center for Paleoclimatology archives.  Most data sets include raw treering measurements (most are annual ring width, with some collections of earlywood or latewood width or wood density), plus chronologies (standardized growth indices for a site compiled from multiple treering samples). Reconstructions of climate variables are included with some of these data sets.  Each data type is stored in a separate data file; the data type is coded into the file name. For details please see: http://www.ncdc.noaa.gov/paleo/treeinfo.htmll
description: NOAA Template Raw Measurements file added 2019-02-05.
DOI: 10.25921/x3ve-ea71
title: NOAA/WDS Paleoclimatology - Fischer - Nordrhein-Westfalen/Eifel dre01 - QUPE - ITRDB GERM173

description: Growth responses to twentieth century climate variability of the three main European tree species Fagus sylvatica, Quercus petraea, and Pinus sylvestris within two temperate low mountain forest sites were analyzed, with particular emphasis on their dependence upon ecological factors and temporal stability in the obtained relationships. While site conditions in Central (~51°N, 9°E, KEL) and West (50.5°N, 6.5°E, EIF) Germany are similar, annual precipitation totals of ~700 mm and ~1,000 mm describe a maritime-continental gradient. Ring-width samples from 228 trees were collected and PCA used to identify common growth patterns. Chronologies were developed and redundancy analysis and simple correlation coefficients calculated to detect twentieth century temperature, precipitation, and drought fingerprints in the tree-ring data. Summer drought is the dominant driver of forest productivity, but regional and species-specific differences indicate more complex influences upon tree growth. F. sylvatica reveals the highest climate sensitivity, whereas Q. petraea is most drought tolerant. Drier growth conditions in KEL result in climate sensitivity of all species, and Q. petraea shifted from non-significant to significant drought sensitivity during recent decades at EIF. Drought sensitivity dynamics of all species vary over time. An increase of drought sensitivity in tree growth was found in the wetter forest area EIF, whereas a decrease occurred in the middle of the last century for all species in the drier KEL region. Species-specific and regional differences in long-term climate sensitivities, as evidenced by temporal variability in drought sensitivity, are potential indicators for a changing climate that effects Central-West German forest growth, but meanwhile hampers a general assessment of these effects.
description: Purpose of Collection:
# climate/growth relationship NOAA Template Raw Measurements file added 2019-02-05.
DOI: 10.25921/xv6d-bh98
title: NOAA/WDS Paleoclimatology - Lara - Estero Las Cuevas - NOPU - ITRDB CHIL025

description: Nothofagus pumilio (Poepp et Endl.) Krasser, is a deciduous tree species that grows in Chile and adjacent Argentina between 36 and 56°S, often forming the Andean tree line. This paper presents the first eight tree-ring chronologies from N. pumilio at its northern range limit in the central Andes of Chile (36-39°S) and the first precipitation reconstruction for this region. Samples were taken from upper tree-line stands (1500-1700 m elevation) in three study areas: Vilches, Laguna del Laja, and Conguillío. Results indicate that, at the northern sites (Vilches and Laguna del Laja), the tree-ring growth of N. pumilio is positively correlated with late-spring and early summer precipitation and that higher temperatures reduce radial growth, probably because of an increase in evapotranspiration and decrease in water availability. At the southern Conguillío study area, radial growth was negatively correlated with late-spring and early summer precipitation. The presence of volcanic activity in this latter study area, which might have masked the climate signal, did not seem to have a significant influence on radial growth. A reconstruction of November-December (summer) precipitation for the period 1837-1996 from N. pumilio tree-ring chronologies accounted for 37% of instrumentally recorded precipitation variance. This is the first precipitation reconstruction from N. pumilio chronologies. Only temperature and snow cover have previously been reconstructed using this species. The reconstruction indicates that the driest and wettest 25-year periods within the past 160 years are 1890-1914 and 1917-1941, respectively.
description: Purpose of Collection:
# Climatology
# 
# Cores are stored at:
# University of Western Ontario NOAA Template Raw Measurements file added 2019-04-29.