cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7151093
title: Unconventional Gas Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for unconventional gas development. These data are derived from the weighted summary of five criteria maps: 1) resource yield potential in barrels of oil equivalent identified by prospective areas of technically recoverable unconventional gas, 2) distance from existing oil and gas development, 3) distance to major roads, 4) electricity accessibility, and 5) distance to railways or ports. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151096
title: Wind Power Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for locating utility-scaled wind farms. These data are derived from the weighted summary of seven criteria maps: 1) resource yield potential in annual megawatt hours calculated using wind speeds and air density, 2) distance to electrical grid, 3) distance to railways or ports, 4) distance to major roads, 5) landcover, 6) inverse population density, and 7) distance to urban areas. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.7284/104480
title: INS (Inertial Navigation System) data collected during research cruise WS1114 using a Applanix POS/MV-320 V2 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7151093.v1
title: Unconventional Gas Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for unconventional gas development. These data are derived from the weighted summary of five criteria maps: 1) resource yield potential in barrels of oil equivalent identified by prospective areas of technically recoverable unconventional gas, 2) distance from existing oil and gas development, 3) distance to major roads, 4) electricity accessibility, and 5) distance to railways or ports. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151087
title: Hydropower Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution adjacent to rivers for locating a utility-scaled hydropower facility via impoundment (i.e. hydropower dams), diversion, or instream facilities. These data are derived from the weighted summary of six criteria maps: 1) resource yield potential in annual megawatt hours calculated using global river flow and head values, 2) inverse population density, 3) distanced to the electrical grid, 4) distance to major roads, 5) distance to railways or ports, and 6) distance to urban areas. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151090
title: Non-metallic Mining Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for non-metallic mining (e.g. sand and gravel mining). These data are derived from the weighted summary of four criteria maps: 1) proxy yield values based on deposit size and numbers, 2) distance to demand centers, 3) distance to major roads, and 4) distance to railways or ports. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.7284/104474
title: Radiometer data collected during research cruise WS1114 using a Eppley PSP instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7151090.v1
title: Non-metallic Mining Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for non-metallic mining (e.g. sand and gravel mining). These data are derived from the weighted summary of four criteria maps: 1) proxy yield values based on deposit size and numbers, 2) distance to demand centers, 3) distance to major roads, and 4) distance to railways or ports. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151084
title: Photovoltaic Solar Power (PV) Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for locating utility-scaled PV solar farms. These data are derived from the weighted summary of six criteria maps: 1) resource yield potential in annual megawatt hours calculated using average annual global horizontal irradiation (GHI) values, 2) distance to electrical grid, 3) distance to major roads, 4) landcover, 5) distance to urban areas, and 6) distance to railways or ports. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151084.v1
title: Photovoltaic Solar Power (PV) Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for locating utility-scaled PV solar farms. These data are derived from the weighted summary of six criteria maps: 1) resource yield potential in annual megawatt hours calculated using average annual global horizontal irradiation (GHI) values, 2) distance to electrical grid, 3) distance to major roads, 4) landcover, 5) distance to urban areas, and 6) distance to railways or ports. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151078
title: Conventional Gas Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for conventional gas development. These data are derived from the weighted summary of five criteria maps: 1) resource yield potential in barrels of oil equivalent identified by assessment units of technically recoverable conventional gas, 2) distance from existing oil and gas development, 3) electricity accessibility, 4) distance to major roads, and 5) distance to railways or ports. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151081
title: Metallic Mining Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for metallic mining (e.g. gold, silver, copper). These data are derived from the weighted summary of four criteria maps: 1) proxy yield values based on deposit size and numbers, 2) distance to demand centers, 3) distance to major roads, and 4) distance to railways or ports. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.7284/104475
title: Radiometer data collected during research cruise WS1114 using a Eppley TUV instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7151078.v1
title: Conventional Gas Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for conventional gas development. These data are derived from the weighted summary of five criteria maps: 1) resource yield potential in barrels of oil equivalent identified by assessment units of technically recoverable conventional gas, 2) distance from existing oil and gas development, 3) electricity accessibility, 4) distance to major roads, and 5) distance to railways or ports. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151081.v1
title: Metallic Mining Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for metallic mining (e.g. gold, silver, copper). These data are derived from the weighted summary of four criteria maps: 1) proxy yield values based on deposit size and numbers, 2) distance to demand centers, 3) distance to major roads, and 4) distance to railways or ports. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151075
title: Coal Mining Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for coal mining. These data are derived from the weighted summary of six criteria maps: 1) resource yield potential in tons of coal associated with coal basins, 2) active coal mining density, 3) distance to railways or ports, 4) distance to major roads, 5) electricity accessibility, and 6) distance to coal power plants. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.7284/104479
title: Radiometer data collected during research cruise WS1114 using a Eppley PIR instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7151072
title: Conventional Oil Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for conventional oil development. These data are derived from the weighted summary of five criteria maps: 1) resource yield potential in barrels of oil equivalent identified by assessment units of technically recoverable conventional oil, 2) distance from existing oil and gas development, 3) electricity accessibility, 4) distance to major roads, and 5) distance to railways or ports. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151072.v1
title: Conventional Oil Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for conventional oil development. These data are derived from the weighted summary of five criteria maps: 1) resource yield potential in barrels of oil equivalent identified by assessment units of technically recoverable conventional oil, 2) distance from existing oil and gas development, 3) electricity accessibility, 4) distance to major roads, and 5) distance to railways or ports. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151075.v1
title: Coal Mining Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for coal mining. These data are derived from the weighted summary of six criteria maps: 1) resource yield potential in tons of coal associated with coal basins, 2) active coal mining density, 3) distance to railways or ports, 4) distance to major roads, 5) electricity accessibility, and 6) distance to coal power plants. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151066
title: Biofuels Expansion Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for biofuels crop expansion. These data are derived from the weighted summary of three criteria maps: 1) mean potential yield in gallons of gasoline equivalent (GGEs) for five biofuel crops (i.e. maize, oil palm, rapeseed, sugarcane, and soybean), 2) market accessibility, and 3) land supply elasticity. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151069
title: Crop Expansion Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for crop expansion. These data are derived from the weighted summary of three criteria maps: 1) mean potential yield in tons/km2 of ten crops (i.e. barley, cassava, maize, oil palm, rapeseed, rice, sugarcane, sorghum, soybean, and wheat), 2) market accessibility, and 3) land supply elasticity. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.7284/104478
title: Rain Gauge data collected during research cruise WS1114 using a OSI ORG-815 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7151069.v1
title: Crop Expansion Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for crop expansion. These data are derived from the weighted summary of three criteria maps: 1) mean potential yield in tons/km2 of ten crops (i.e. barley, cassava, maize, oil palm, rapeseed, rice, sugarcane, sorghum, soybean, and wheat), 2) market accessibility, and 3) land supply elasticity. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.6084/m9.figshare.7151057
title: Appendix II Questionnaire.pdf

description: Questionnaire used to assess the knowledge, attitudes, and beliefs of adults on epilepsy in Erute South County, Lira District, Uganda. Developed from the a standardized self-administered questionnaire (Attitudes towards personswith Epilepsy “ATPE”)
DOI: 10.6084/m9.figshare.7151066.v1
title: Biofuels Expansion Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for biofuels crop expansion. These data are derived from the weighted summary of three criteria maps: 1) mean potential yield in gallons of gasoline equivalent (GGEs) for five biofuel crops (i.e. maize, oil palm, rapeseed, sugarcane, and soybean), 2) market accessibility, and 3) land supply elasticity. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.7284/104476
title: Water Temperature data collected during research cruise WS1114 using a Sea-Bird SBE-38 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7151063
title: Concentrated Solar Power (CSP) Development Potential Index

description: This global dataset continuously ranks from &gt;0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution for locating utility-scaled CSP farms and is derived from the weighted summary of six criteria maps: 1) resource yield potential in annual megawatt hours calculated using average annual direct normal irradiation (DNI) values), 2) distance to electrical grid, 3) distance to major roads, 4) landcover, 5) distance to urban areas, and 6) distance to railways or ports. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.
DOI: 10.7284/104477
title: TSG (Thermosalinograph) data collected during research cruise WS1114 using a Sea-Bird SBE-45 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104481
title: GNSS (Global Navigation Satellite System) data collected during research cruise WS1115 using a Raytheon 300 WAAS instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104482
title: GNSS (Global Navigation Satellite System) data collected during research cruise WS1115 using a Raytheon 320 WAAS instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17608/k6.auckland.7151006
title: Coastal cliff data

description: These data are those used in Perry & Dickson JGR Eathr Surfaces to explore the sample size required to train effective models using machine-learning methods. The data have had their geographic locations removed in order to anonymise them. Data collected during database complication but not include in the analysis have also been removed<br>
DOI: 10.17608/k6.auckland.7151006.v1
title: Coastal cliff data

description: These data are those used in Perry & Dickson JGR Eathr Surfaces to explore the sample size required to train effective models using machine-learning methods. The data have had their geographic locations removed in order to anonymise them. Data collected during database complication but not include in the analysis have also been removed<br>
DOI: 10.7284/104483
title: Gyrocompass data collected during research cruise WS1115 using a SGB Meridian instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104490
title: INS (Inertial Navigation System) data collected during research cruise WS1115 using a Applanix POS/MV-320 V2 instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/104484
title: Radiometer data collected during research cruise WS1115 using a Eppley PSP instrument system onboard the platform RV F.G. Walton Smith

description: Original (unprocessed) data collected during a Field_expedition