cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/ieda/111320
title: Clumped Isotope Calibration Data from Garcia de Real et al. 2016, reprocessed as part of a community calibration effort

description: Clumped isotope calibration data from 14 published studies were compiled and reprocessed from the base level (raw voltages or small delta values) using updated IUPAC parameters defining the composition of international standards (VPDB, VSMOW) and 17O fractionation, updated theoretical equilibrium values, and newly calculated acid digestion fractionation (AFF) corrections. This EarthChem dataset archives all reprocessed data originally from Garcia de Real et al. (2016, GCA), presented in the synthesis publication.
description: S.V. Petersen, W.F. Defliese, C. Saenger, M. Daëron, K.W. Huntington, C.M. John, J.R. Kelson, S.M. Bernasconi, A.S. Coleman, T. Kluge, G.A. Olack, A.J. Schauer, D. Bajnai, M. Bonifacie, S.F.M. Breitenbach, J. Fiebig, A.B. Fernandez, G.A. Henkes, D. Hodell, A. Katz, S. Kele, K.C. Lohmann, B.H. Passey, M.Y. Peral, D.A. Petrizzo, B.E. Rosenheim, A. Tripati, R. Venturelli, E.D. Young, and I.Z. Winkelstern, (2019), "Effects of Improved 17O Correction on Inter-Laboratory Agreement in Clumped Isotope Calibrations, Estimates of Mineral-Specific Offsets, and Temperature Dependence of Acid Digestion Fractionation." Geochemistry, Geophysics, Geosystems.
DOI: 10.1594/ieda/111319
title: Clumped Isotope Calibration Data from Kluge et al. 2015, reprocessed as part of a community calibration effort

description: Clumped isotope calibration data from 14 published studies were compiled and reprocessed from the base level (raw voltages or small delta values) using updated IUPAC parameters defining the composition of international standards (VPDB, VSMOW) and 17O fractionation, updated theoretical equilibrium values, and newly calculated acid digestion fractionation (AFF) corrections. This EarthChem dataset archives all reprocessed data originally from Kluge et al. (GCA, 2015), presented in the synthesis publication.
description: S.V. Petersen, W.F. Defliese, C. Saenger, M. Daëron, K.W. Huntington, C.M. John, J.R. Kelson, S.M. Bernasconi, A.S. Coleman, T. Kluge, G.A. Olack, A.J. Schauer, D. Bajnai, M. Bonifacie, S.F.M. Breitenbach, J. Fiebig, A.B. Fernandez, G.A. Henkes, D. Hodell, A. Katz, S. Kele, K.C. Lohmann, B.H. Passey, M.Y. Peral, D.A. Petrizzo, B.E. Rosenheim, A. Tripati, R. Venturelli, E.D. Young, and I.Z. Winkelstern, (2019), "Effects of Improved 17O Correction on Inter-Laboratory Agreement in Clumped Isotope Calibrations, Estimates of Mineral-Specific Offsets, and Temperature Dependence of Acid Digestion Fractionation." Geochemistry, Geophysics, Geosystems.
DOI: 10.1594/ieda/111318
title: Clumped Isotope Calibration Data from Defliese et al. 2015, reprocessed as part of a community calibration effort

description: Clumped isotope calibration data from 14 published studies were compiled and reprocessed from the base level (raw voltages or small delta values) using updated IUPAC parameters defining the composition of international standards (VPDB, VSMOW) and 17O fractionation, updated theoretical equilibrium values, and newly calculated acid digestion fractionation (AFF) corrections. This EarthChem dataset archives all reprocessed data originally from Defliese et al. (ChemGeo, 2015), presented in the synthesis publication.
description: S.V. Petersen, W.F. Defliese, C. Saenger, M. Daëron, K.W. Huntington, C.M. John, J.R. Kelson, S.M. Bernasconi, A.S. Coleman, T. Kluge, G.A. Olack, A.J. Schauer, D. Bajnai, M. Bonifacie, S.F.M. Breitenbach, J. Fiebig, A.B. Fernandez, G.A. Henkes, D. Hodell, A. Katz, S. Kele, K.C. Lohmann, B.H. Passey, M.Y. Peral, D.A. Petrizzo, B.E. Rosenheim, A. Tripati, R. Venturelli, E.D. Young, and I.Z. Winkelstern, (2019), "Effects of Improved 17O Correction on Inter-Laboratory Agreement in Clumped Isotope Calibrations, Estimates of Mineral-Specific Offsets, and Temperature Dependence of Acid Digestion Fractionation." Geochemistry, Geophysics, Geosystems.
DOI: 10.1594/ieda/111317
title: Clumped Isotope Calibration Data from Winkelstern et al. 2016, reprocessed as part of a community calibration effort

description: Clumped isotope calibration data from 14 published studies were compiled and reprocessed from the base level (raw voltages or small delta values) using updated IUPAC parameters defining the composition of international standards (VPDB, VSMOW) and 17O fractionation, updated theoretical equilibrium values, and newly calculated acid digestion fractionation (AFF) corrections. This EarthChem dataset archives all reprocessed data originally from Winkelstern et al. (ChemGeo, 2016), presented in the synthesis publication.
description: S.V. Petersen, W.F. Defliese, C. Saenger, M. Daëron, K.W. Huntington, C.M. John, J.R. Kelson, S.M. Bernasconi, A.S. Coleman, T. Kluge, G.A. Olack, A.J. Schauer, D. Bajnai, M. Bonifacie, S.F.M. Breitenbach, J. Fiebig, A.B. Fernandez, G.A. Henkes, D. Hodell, A. Katz, S. Kele, K.C. Lohmann, B.H. Passey, M.Y. Peral, D.A. Petrizzo, B.E. Rosenheim, A. Tripati, R. Venturelli, E.D. Young, and I.Z. Winkelstern, (2019), "Effects of Improved 17O Correction on Inter-Laboratory Agreement in Clumped Isotope Calibrations, Estimates of Mineral-Specific Offsets, and Temperature Dependence of Acid Digestion Fractionation." Geochemistry, Geophysics, Geosystems.
DOI: 10.1594/ieda/111315
title: Gakkel Ridge plagioclase and olivine mineral and melt inclusion analyses

description: The depth of crystallisation within mid-ocean ridge magma plumbing systems can be constrained using the volatile content of melt inclusions. Here the volatile-, trace- and major-element compositions of both olivine- and plagioclase-hosted melt inclusions from the Gakkel Ridge (Arctic Ocean) are presented. Host mineral major elements are also presented and were used to undertake melt inclusion post-entrapment crystallisation corrections.
description: Bennett, E., Jenner, F., Millet, A-B., Cashman, K., Lissenberg, C., 2019, Deep roots for mid-ocean ridge volcanoes revealed by plagioclase-hosted melt inclusions, Nature, 572 (235-239)
DOI: 10.1594/ieda/111309
title: EarthChem Data-To-Go: Geochemical Data for Mantle Xenoliths, version February 2019

description: This dataset contains major oxides, trace element, and isotope compositional data of all Mantle Xenolith samples in PetDB (https://search.earthchem.org/) including reference information and metadata such as analytical method and expedition information. This data was obtained in February, 2019 using the search term:Rock Class = peridotite, eclogite, dunite, websterite, wehrlite, lherzolite, harzburgite, pyroxenite.
DOI: 10.1594/ieda/111310
title: Melt inclusions and host olivine of Archean komatiites

description: Major, trace elements, H2O contents and hydrogen isotopes composition of melt inclusions and compositions of host olivine phenocrysts from komatiites of Barberton (3.3 Gyr), Belingwe (2.7 Gyr) and Abitibi (2.7 Gyr) greenstone belts. Using hydrogen isotopes, we show that the mantle sources of these melts contained excess H2O which implies that a deep mantle hydrated reservoir has been present in the Earth's interior at least since the Paleoarchean. The reconstructed initial hydrogen isotope composition of komatiites is significantly more depleted in deuterium than all surface reservoirs as well as typical mantle but resembles that in dehydrated subducted slabs. Together with a significant excess of chlorine and a temporal trend of Pb/Ce in the mantle sources of komatiites, these results argue that lithosphere recycling into the deep mantle, arguably via subduction, started before 3.3 Gyr.
description: Sobolev, A.V., Asafov, E.V., Gurenko, A.A. Arndt, N.T., Batanova, V.G., Portnyagin, M.V., Garbe-Schönberg, D., Wilson, A.H., Byerly, G.R. (2019). Deep hydrous mantle reservoir provides evidence for crustal recycling before 3.3 Gyr ago. Nature. Asafov, E. V., Sobolev, A. V., Gurenko, A. A., Arndt, N. T., Batanova, V. G., Portnyagin, M. V., Garbe-Schonberg, D. & Krasheninnikov, S. P. (2018). Belingwe komatiites (2.7 Ga) originate from a plume with moderate water content, as inferred from inclusions in olivine. Chemical Geology 478, 39-59. Sobolev, A. V., Asafov, E. V., Gurenko, A. A., Arndt, N. T., Batanova, V. G., Portnyagin, M. V., Garbe-Schonberg, D. & Krasheninnikov, S. P. (2016). Komatiites reveal a hydrous Archaean deep-mantle reservoir. Nature 531, 628-632.
DOI: 10.5281/zenodo.10458723
title: Ecosystem services in Slottsskogen Sweden
DOI: 10.1594/ieda/111292
title: Space-time and correlation diagrams, ages, and zircon Hf and O and U-Pb isotopic data from Southern Lhasa, Tibet

description: This dataset contains generalised space–time diagrams showing the sedimentary covers and magmatic history in the Lhasa Block as well as four correlation diagrams of elements. It also presents five tables of geochemical data including trace elements, zircon Hf-O isotope and U-Pb isotope (measured by SIMS and LA-ICPMS). It also includes trace element composition of reference materials and published Hf isotope composition in southern Lhasa.
DOI: 10.1594/ieda/111293
title: Susquehanna Shale Hills Critical Zone Observatory - Cole Farm groundwater surface water chemistry 2018

description: A series of seven wells were drilled to depths of ~2 m (shallow) and ~4.5 m (deep) within and along the tree lines of a forested area in central Cole Farm. This forest is located between two agriculturally active fields on steep slopes. Wells were drilled in pairs, each pair consisting of one deep and one shallow well. A single shallow well was drilled within the interior of the forest (CFW10), and the rest were drilled along the tree lines. Nine surface water sampling sites were established, 6 of which sampled along a rivulet that flowed through the central forest. One surface site (CFUSpring) sampled the source of a perennial spring, and another (SCCF) sampled a tributary called Shaver’s Creek. All samples were analyzed for anions and cations using ion chromatography methods.
description: Forgeng, Michael, (2018), "Surface and Shallow Subsurface Nutrient Transport in an Agriculturally Active Central Pennsylvania Landscape", Bachelor of Science, Geosciences, The Pennsylvania State University, 44.
DOI: 10.5281/zenodo.10458722
title: Ecosystem services in Slottsskogen, Sweden

description: Ecosystem servises in Slottsskogen.
DOI: 10.5281/zenodo.10478867
title: Ecosystem services in Slottsskogen, Sweden

description: Ecosystem servises in Slottsskogen.
DOI: 10.1594/ieda/111281
title: Susquehanna Shale Hills Critical Zone Observatory - Cole Farm Geochemistry

description: This dataset includes major and trace element analyses (ICP-AES) and mineral composition (XRD) of samples collected from soil pits dug along a catena at Cole Farm in the Susquehanna Shale Hills Critical Zone Observatory in Huntingdon County, PA.
description: Carpenter, Nathan, (2018), "The effect of cultivation on soil chemistry in the Shale Hills Critical Zone Observatory", Senior Thesis, Bachelor of Science, The Pennsylvania State University, 72.
DOI: 10.15468/dl.5gre26
title: Occurrence Download

description: A dataset containing 383582 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abies Mill."
 ]
}

 The dataset includes 383582 records from 1609 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080668-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmdapr
title: Occurrence Download

description: A dataset containing 1756 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Laricobius nigrinus Fender, 1945",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1756 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080703-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.575hxw
title: Occurrence Download

description: A dataset containing 542 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Contacyphon punctipennis (Sharp, 1872)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 542 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080704-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgqmhx
title: Occurrence Download

description: A dataset containing 1036 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Polydesmus coriaceus Porat, 1870",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1036 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080705-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.7891097
title: gVCF_HG03103

description: 1000 Genomes gVCF mapped to hs37d5 for HG03103. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891100
title: gVCF_NA18912

description: 1000 Genomes gVCF mapped to hs37d5 for NA18912. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891115.v1
title: gVCF_HG03105

description: 1000 Genomes gVCF mapped to hs37d5 for HG03105. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891085
title: gVCF_HG01489

description: 1000 Genomes gVCF mapped to hs37d5 for HG01489. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891088
title: gVCF_HG01491

description: 1000 Genomes gVCF mapped to hs37d5 for HG01491. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891094
title: gVCF_HG01492

description: 1000 Genomes gVCF mapped to hs37d5 for HG01492. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891097.v1
title: gVCF_HG03103

description: 1000 Genomes gVCF mapped to hs37d5 for HG03103. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891100.v1
title: gVCF_NA18912

description: 1000 Genomes gVCF mapped to hs37d5 for NA18912. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891082
title: rawdata_ohba_et_al.xlsx

description: Raw data of trophic position concerning giant water bug in rice fields.
DOI: 10.6084/m9.figshare.7891088.v1
title: gVCF_HG01491

description: 1000 Genomes gVCF mapped to hs37d5 for HG01491. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891094.v1
title: gVCF_HG01492

description: 1000 Genomes gVCF mapped to hs37d5 for HG01492. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891082.v1
title: rawdata_ohba_et_al.xlsx

description: Raw data of trophic position concerning giant water bug in rice fields.
DOI: 10.6084/m9.figshare.7891085.v1
title: gVCF_HG01489

description: 1000 Genomes gVCF mapped to hs37d5 for HG01489. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891067
title: gVCF_NA18910

description: 1000 Genomes gVCF mapped to hs37d5 for NA18910. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891070
title: gVCF_HG03100

description: 1000 Genomes gVCF mapped to hs37d5 for HG03100. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891079
title: gVCF_HG01488

description: 1000 Genomes gVCF mapped to hs37d5 for HG01488. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891061
title: gVCF_NA18909

description: 1000 Genomes gVCF mapped to hs37d5 for NA18909. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891067.v1
title: gVCF_NA18910

description: 1000 Genomes gVCF mapped to hs37d5 for NA18910. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891079.v1
title: gVCF_HG01488

description: 1000 Genomes gVCF mapped to hs37d5 for HG01488. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891061.v1
title: gVCF_NA18909

description: 1000 Genomes gVCF mapped to hs37d5 for NA18909. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891070.v1
title: gVCF_HG03100

description: 1000 Genomes gVCF mapped to hs37d5 for HG03100. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891049
title: gVCF_NA18908

description: 1000 Genomes gVCF mapped to hs37d5 for NA18908. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891043
title: gVCF_NA18907

description: 1000 Genomes gVCF mapped to hs37d5 for NA18907. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891046
title: gVCF_HG01486

description: 1000 Genomes gVCF mapped to hs37d5 for HG01486. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891049.v1
title: gVCF_NA18908

description: 1000 Genomes gVCF mapped to hs37d5 for NA18908. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891040
title: gVCF_HG03099

description: 1000 Genomes gVCF mapped to hs37d5 for HG03099. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891043.v1
title: gVCF_NA18907

description: 1000 Genomes gVCF mapped to hs37d5 for NA18907. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891004
title: gVCF_HG01479

description: 1000 Genomes gVCF mapped to hs37d5 for HG01479. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891034
title: Input 29 b 1

description: data for 1 sample
DOI: 10.6084/m9.figshare.7891037
title: gVCF_HG01485

description: 1000 Genomes gVCF mapped to hs37d5 for HG01485. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891040.v1
title: gVCF_HG03099

description: 1000 Genomes gVCF mapped to hs37d5 for HG03099. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7890998
title: gVCF_NA18881

description: 1000 Genomes gVCF mapped to hs37d5 for NA18881. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891001
title: gVCF_HG01474

description: 1000 Genomes gVCF mapped to hs37d5 for HG01474. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891034.v1
title: Input 29 b 1

description: data for 1 sample
DOI: 10.6084/m9.figshare.7890995
title: gVCF_HG01468

description: 1000 Genomes gVCF mapped to hs37d5 for HG01468. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7890998.v1
title: gVCF_NA18881

description: 1000 Genomes gVCF mapped to hs37d5 for NA18881. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891001.v1
title: gVCF_HG01474

description: 1000 Genomes gVCF mapped to hs37d5 for HG01474. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7891004.v1
title: gVCF_HG01479

description: 1000 Genomes gVCF mapped to hs37d5 for HG01479. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7890983
title: gVCF_NA18879

description: 1000 Genomes gVCF mapped to hs37d5 for NA18879. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7890989
title: gVCF_HG01465

description: 1000 Genomes gVCF mapped to hs37d5 for HG01465. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7890995.v1
title: gVCF_HG01468

description: 1000 Genomes gVCF mapped to hs37d5 for HG01468. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7890980
title: Spatial Data and Python Code for 13 Development Potential Indices (part 02)

description: Second of four zipfiles providing all data and Python code necessary to replicate any of the 13 development potential indexes (DPIs) described within Oakleaf et al. (2019), “Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors”. A README.pdf guides users on setting up environment necessary to use data and run Python code. To run Python code with accompanying spatial data, 64 GBs of disk space is required. Additionally ArcPY, a python module associated with ESRI’s ArcGIS Desktop, and an accompanying Spatial Analyst extension license are required to run Python code. All code was created by J.R. Oakleaf during 2018 and is licensed under Creative Commons Attribution-NonCommercial 4.0 International License http://creativecommons.org/licenses/by-nc/4.0/.
DOI: 10.6084/m9.figshare.7890983.v1
title: gVCF_NA18879

description: 1000 Genomes gVCF mapped to hs37d5 for NA18879. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7890986
title: gVCF_HG03097

description: 1000 Genomes gVCF mapped to hs37d5 for HG03097. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7890989.v1
title: gVCF_HG01465

description: 1000 Genomes gVCF mapped to hs37d5 for HG01465. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7890974
title: gVCF_NA18878

description: 1000 Genomes gVCF mapped to hs37d5 for NA18878. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7890977
title: gVCF_HG03096

description: 1000 Genomes gVCF mapped to hs37d5 for HG03096. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7890980.v1
title: Spatial Data and Python Code for 13 Development Potential Indices (part 02)

description: Second of four zipfiles providing all data and Python code necessary to replicate any of the 13 development potential indexes (DPIs) described within Oakleaf et al. (2019), “Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors”. A README.pdf guides users on setting up environment necessary to use data and run Python code. To run Python code with accompanying spatial data, 64 GBs of disk space is required. Additionally ArcPY, a python module associated with ESRI’s ArcGIS Desktop, and an accompanying Spatial Analyst extension license are required to run Python code. All code was created by J.R. Oakleaf during 2018 and is licensed under Creative Commons Attribution-NonCommercial 4.0 International License http://creativecommons.org/licenses/by-nc/4.0/.
DOI: 10.6084/m9.figshare.7890986.v1
title: gVCF_HG03097

description: 1000 Genomes gVCF mapped to hs37d5 for HG03097. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7890962
title: gVCF_HG01464

description: 1000 Genomes gVCF mapped to hs37d5 for HG01464. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307