diff --git a/datasets/critical_habitats/raster_ingest.json b/datasets/critical_habitats/raster_ingest.json index 24298060..499c5a82 100644 --- a/datasets/critical_habitats/raster_ingest.json +++ b/datasets/critical_habitats/raster_ingest.json @@ -1,8 +1,9 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/critical_habitats/2023", + "path": "/geo-datasets/data/rasters/critical_habitats", + "is_global": true, "type": "raster", "file_extension": ".tif", - "file_mask": "None", + "file_mask": "YYYY/critical_habitats.tif", "name": "critical_habitats_v2", "title": "Global Critical Habitats Screening - Version 2.0", "description": "The International Finance Corporation's (IFC's) Performance Standard 6 (PS6) is one of the most influential biodiversity standards of current time, particularly within large-scale infrastructure and the extractive sector. Within PS6, biodiversity significance is articulated through the concept of 'Critical Habitat,' a definition developed by the IFC and detailed through criteria aligned with those that support internationally accepted biodiversity designations. Critical Habitat criteria identify habitats of significant importance to threatened, endemic, congregatory and migratory species, threatened or unique ecosystems, and key evolutionary processes. PS6 requires projects to achieve net gains in the biodiversity values for which Critical Habitat is identified.", diff --git a/datasets/cru_ts/ingest/yearly_pre_raster_ingest.json b/datasets/cru_ts/ingest/yearly_pre_raster_ingest.json index cfbc449a..714b0d4b 100644 --- a/datasets/cru_ts/ingest/yearly_pre_raster_ingest.json +++ b/datasets/cru_ts/ingest/yearly_pre_raster_ingest.json @@ -1,29 +1,30 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/cru_ts/cru_ts_4.07/yearly/pre/mean", + "path": "/geo-datasets/data/rasters/cru_ts/cru_ts_4.07/yearly/pre/mean", + "is_global": true, "type": "raster", "file_extension": ".tif", "file_mask": "cru.pre.YYYY.tif", "name": "cru_ts_407_pre_yearly_mean", "title": "Yearly Mean Precipitation - CRU TS (v4.07)", "description": "Yearly mean precipitation from Climate Research Unit (CRU) in millimeters. Version 4.07", - "details": "Created by aggregating (mean) monthly precipitation data from CRU TS", + "details": "Created by aggregating (mean) monthly precipitation data from CRU TS", "version": "4.07", "options": { - "resolution": 0.5, - "extract_types": ["max", "mean", "min"], - "extract_types_info" : { - "max" : "maximum precipitation value per unit of analysis", - "mean" : "average precipitation value per unit of analysis", - "min" : "minimum precipitation value per unit of analysis" - }, - "factor": 1, - "variable_description": "precipitation in millimeters" + "resolution": 0.5, + "extract_types": ["max", "mean", "min"], + "extract_types_info" : { + "max" : "maximum precipitation value per unit of analysis", + "mean" : "average precipitation value per unit of analysis", + "min" : "minimum precipitation value per unit of analysis" + }, + "factor": 1, + "variable_description": "precipitation in millimeters" }, "extras": { - "citation": "Harris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3", - "sources_web": "https://crudata.uea.ac.uk/cru/data/hrg/", - "sources_name": "Climate Research Unit", - "tags": ["cru", "precipitation", "environment", "yearly"] + "citation": "Harris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3", + "sources_web": "https://crudata.uea.ac.uk/cru/data/hrg/", + "sources_name": "Climate Research Unit", + "tags": ["cru", "precipitation", "environment", "yearly"] }, "active": 1 -} +} \ No newline at end of file diff --git a/datasets/cru_ts/ingest/yearly_tmp_raster_ingest.json b/datasets/cru_ts/ingest/yearly_tmp_raster_ingest.json index 3edb1b42..f90a685a 100644 --- a/datasets/cru_ts/ingest/yearly_tmp_raster_ingest.json +++ b/datasets/cru_ts/ingest/yearly_tmp_raster_ingest.json @@ -1,29 +1,30 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/cru_ts/cru_ts_4.07/yearly/tmp/mean", + "path": "/geo-datasets/data/rasters/cru_ts/cru_ts_4.07/yearly/tmp/mean", + "is_global": true, "type": "raster", "file_extension": ".tif", "file_mask": "cru.tmp.YYYY.tif", "name": "cru_ts_407_tmp_yearly_mean", "title": "Yearly Mean Temperature - CRU TS (v4.07)", "description": "Yearly mean temperature from Climate Research Unit (CRU) in degrees Celsius. Version 4.07", - "details": "Created by aggregating (mean) monthly mean daily temperature data from CRU TS", + "details": "Created by aggregating (mean) monthly mean daily temperature data from CRU TS", "version": "4.07", "options": { - "resolution": 0.5, - "extract_types": ["max", "mean", "min"], - "extract_types_info" : { - "max" : "maximum temperature value per unit of analysis", - "mean" : "average temperature value per unit of analysis", - "min" : "minimum temperature value per unit of analysis" - }, - "factor": 1, - "variable_description": "degrees Celsius" + "resolution": 0.5, + "extract_types": ["max", "mean", "min"], + "extract_types_info" : { + "max" : "maximum temperature value per unit of analysis", + "mean" : "average temperature value per unit of analysis", + "min" : "minimum temperature value per unit of analysis" + }, + "factor": 1, + "variable_description": "degrees Celsius" }, "extras": { - "citation": "Harris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3", - "sources_web": "https://crudata.uea.ac.uk/cru/data/hrg/", - "sources_name": "Climate Research Unit", - "tags": ["cru", "temperature", "environment", "yearly"] + "citation": "Harris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3", + "sources_web": "https://crudata.uea.ac.uk/cru/data/hrg/", + "sources_name": "Climate Research Unit", + "tags": ["cru", "temperature", "environment", "yearly"] }, "active": 1 } diff --git a/datasets/distance_to_country_border/raster_ingest.json b/datasets/distance_to_country_border/raster_ingest.json index 9aaa27af..1649e5a6 100644 --- a/datasets/distance_to_country_border/raster_ingest.json +++ b/datasets/distance_to_country_border/raster_ingest.json @@ -1,9 +1,10 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/distance_to/geoBoundaries_borders", + "path": "/geo-datasets/data/rasters/distance_to_country_borders/geoboundaries_borders_distance.tif", + "is_global": true, "type": "raster", "file_extension": ".tif", - "file_mask": "None", - "name": "dist_to_geoBoundaries_borders", + "file_mask": null, + "name": "dist_to_geoboundaries_borders", "title": "Distance to Country Borders (geoBoundaries)", "description": "Distance to country borders, measured in meters. Derived using geoBoundaries ADM0 (Country) boundaries.", "details": "", diff --git a/datasets/esa_landcover/raster_ingest.json b/datasets/esa_landcover/raster_ingest.json index 07672aa7..18fcb0a1 100644 --- a/datasets/esa_landcover/raster_ingest.json +++ b/datasets/esa_landcover/raster_ingest.json @@ -1,5 +1,6 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/esa_landcover", + "path": "/geo-datasets/data/rasters/esa_landcover", + "is_global": true, "type": "raster", "file_extension": ".tif", "file_mask": "esa_lc_YYYY.tif", diff --git a/datasets/gpm/monthly_raster_ingest.json b/datasets/gpm/monthly_raster_ingest.json index fbefff1b..cc51bf17 100644 --- a/datasets/gpm/monthly_raster_ingest.json +++ b/datasets/gpm/monthly_raster_ingest.json @@ -1,29 +1,30 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/gpm/v07b/monthly", + "path": "/geo-datasets/data/rasters/gpm/v07b/monthly", + "is_global": true, "type": "raster", "file_extension": ".tif", "file_mask": "gpm_precipitation_YYYY_MM.tif", "name": "gpm_precipitation_v07b_monthly", "title": "Monthly IMERG (GPM) precipitation (v07B)", "description": "Monthly IMERG GPM (v07B) precipitation - research version", - "details": "Created by extracting monthly IMERG V07B GPM data", + "details": "Created by extracting monthly IMERG V07B GPM data", "version": "v07B", "options": { - "resolution": 0.1, - "extract_types": ["max", "mean", "min"], - "extract_types_info" : { - "max" : "maximum precipitation value per unit of analysis", - "mean" : "average precipitation value per unit of analysis", - "min" : "minimum precipitation value per unit of analysis" - }, - "factor": 1, - "variable_description": "0.001 millimeters per hour" + "resolution": 0.1, + "extract_types": ["max", "mean", "min"], + "extract_types_info" : { + "max" : "maximum precipitation value per unit of analysis", + "mean" : "average precipitation value per unit of analysis", + "min" : "minimum precipitation value per unit of analysis" + }, + "factor": 1, + "variable_description": "0.001 millimeters per hour" }, "extras": { - "citation": "G. Huffman, D. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, P. Xie, 2014: Integrated Multi-satellitE Retrievals for GPM (IMERG), V07B. NASA's Precipitation Processing Center, accessed 27 June, 2024, arthurhouftps.pps.eosdis.nasa.gov", - "sources_web": "https://gpm.nasa.gov/data/directory", - "sources_name": "NASA Goddard Space Flight Center", - "tags": ["nasa","precipitation", "gpm","environment", "monthly"] + "citation": "G. Huffman, D. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, P. Xie, 2014: Integrated Multi-satellitE Retrievals for GPM (IMERG), V07B. NASA's Precipitation Processing Center, accessed 27 June, 2024, arthurhouftps.pps.eosdis.nasa.gov", + "sources_web": "https://gpm.nasa.gov/data/directory", + "sources_name": "NASA Goddard Space Flight Center", + "tags": ["nasa","precipitation", "gpm","environment", "monthly"] }, "active": 1 -} +} \ No newline at end of file diff --git a/datasets/gpm/yearly_raster_ingest.json b/datasets/gpm/yearly_raster_ingest.json index 0cec5e3a..241e26f3 100644 --- a/datasets/gpm/yearly_raster_ingest.json +++ b/datasets/gpm/yearly_raster_ingest.json @@ -1,29 +1,30 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/gpm/v07b/yearly/mean", + "path": "/geo-datasets/data/rasters/gpm/v07b/yearly/mean", + "is_global": true, "type": "raster", "file_extension": ".tif", "file_mask": "gpm_precipitation_YYYY.tif", "name": "gpm_precipitation_v07b_yearly_mean", "title": "Yearly IMERG (GPM) precipitation (v07B)", "description": "Yearly IMERG GPM (v07B) precipitation - Created by aggregating (mean) the monthly GPM precipitation", - "details": "Created by aggregatubg monthly IMERG V07B GPM data", + "details": "Created by aggregatubg monthly IMERG V07B GPM data", "version": "v07B", "options": { - "resolution": 0.1, - "extract_types": ["max", "mean", "min"], - "extract_types_info" : { - "max" : "maximum precipitation value per unit of analysis", - "mean" : "average precipitation value per unit of analysis", - "min" : "minimum precipitation value per unit of analysis" - }, - "factor": 1, - "variable_description": "0.001 millimeters per hour" + "resolution": 0.1, + "extract_types": ["max", "mean", "min"], + "extract_types_info" : { + "max" : "maximum precipitation value per unit of analysis", + "mean" : "average precipitation value per unit of analysis", + "min" : "minimum precipitation value per unit of analysis" + }, + "factor": 1, + "variable_description": "0.001 millimeters per hour" }, "extras": { - "citation": "G. Huffman, D. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, P. Xie, 2014: Integrated Multi-satellitE Retrievals for GPM (IMERG), V07B. NASA's Precipitation Processing Center, accessed 27 June, 2024, arthurhouftps.pps.eosdis.nasa.gov", - "sources_web": "https://gpm.nasa.gov/data/directory", - "sources_name": "NASA Goddard Space Flight Center", - "tags": ["nasa","precipitation", "gpm","environment", "yearly"] + "citation": "G. Huffman, D. Bolvin, D. Braithwaite, K. Hsu, R. Joyce, P. Xie, 2014: Integrated Multi-satellitE Retrievals for GPM (IMERG), V07B. NASA's Precipitation Processing Center, accessed 27 June, 2024, arthurhouftps.pps.eosdis.nasa.gov", + "sources_web": "https://gpm.nasa.gov/data/directory", + "sources_name": "NASA Goddard Space Flight Center", + "tags": ["nasa","precipitation", "gpm","environment", "yearly"] }, "active": 1 -} +} \ No newline at end of file diff --git a/datasets/malaria_atlas_project/ingest.json b/datasets/malaria_atlas_project/ingest.json index b296932e..604c69aa 100644 --- a/datasets/malaria_atlas_project/ingest.json +++ b/datasets/malaria_atlas_project/ingest.json @@ -1,31 +1,32 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/malaria_atlas_project/pf_incidence_rate/", + "path": "/geo-datasets/data/rasters/malaria_atlas_project/pf_incidence_rate/", + "is_global": true, "type": "raster", "file_extension": ".tif", "file_mask": "Global_Pf_Incidence_Rate_YYYY.tif", "name": "map_pf_incidence_rate", - "title": "Malaria Atlas Project - Malaria (Pf) Incidence Rate", - "description": "Number of newly diagnosed Malaria (Plasmodium falciparum) cases per 1,000 population, in a given year", - "details": "", + "title": "Malaria Atlas Project - Malaria (Pf) Incidence Rate", + "description": "Number of newly diagnosed Malaria (Plasmodium falciparum) cases per 1,000 population, in a given year", + "details": "", "version": 202206, "options": { - "resolution": 0.041666667, - "extract_types": ["mean", "min", "max", "count"], - "extract_types_info" : { - "max" : "maximum value measured within each unit of analysis", - "mean" : "average value measured within each unit of analysis", - "min" : "minimum value measured within each unit of analysis", - "count" : "total count of pixels per unit of analysis" - }, - "factor": 1, - "variable_description": "rate per 1,000 people", + "resolution": 0.041666667, + "extract_types": ["mean", "min", "max", "count"], + "extract_types_info" : { + "max" : "maximum value measured within each unit of analysis", + "mean" : "average value measured within each unit of analysis", + "min" : "minimum value measured within each unit of analysis", + "count" : "total count of pixels per unit of analysis" + }, + "factor": 1, + "variable_description": "rate per 1,000 people", "pixel_check": false }, "extras": { - "citation": "Hay, S.I. and Snow, R.W., 2006. The Malaria Atlas Project: developing global maps of malaria risk. PLoS medicine, 3(12), p.e473.", - "sources_web": "https://data.malariaatlas.org/", - "sources_name": "Malaria Atlas Project", - "tags": ["malaria", "health", "welfare"] + "citation": "Hay, S.I. and Snow, R.W., 2006. The Malaria Atlas Project: developing global maps of malaria risk. PLoS medicine, 3(12), p.e473.", + "sources_web": "https://data.malariaatlas.org/", + "sources_name": "Malaria Atlas Project", + "tags": ["malaria", "health", "welfare"] }, "active": 1 -} +} \ No newline at end of file diff --git a/datasets/modis_lst/ingest/061/yearly_night_ingest.json b/datasets/modis_lst/ingest/061/yearly_night_ingest.json index 37300f64..d81d59ac 100644 --- a/datasets/modis_lst/ingest/061/yearly_night_ingest.json +++ b/datasets/modis_lst/ingest/061/yearly_night_ingest.json @@ -1,29 +1,30 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/MODIS/terra/MOLT/MOD11C3.061/yearly/night/mean", + "path": "/geo-datasets/data/rasters/MODIS/terra/MOLT/MOD11C3.061/yearly/night/mean", + "is_global": true, "type": "raster", "file_extension": ".tif", "file_mask": "modis_lst_night_cmg_YYYY.tif", "name": "modis_lst_mod11c3_061_night_annual_mean", "title": "Annual nighttime land surface temperature - MODIS v6.1", "description": "Annual nighttime land surface temperature in Kelvins. Created by aggregating (mean) month data from MOD11C3.061 CMG LST product", - "details": "Production of the previous version (V6) Terra MODIS Land Surface Temperature and Emissivity (LST&E) data products was discontinued on November 15, 2022, due to significant loss of data retrieval following the Constellation Exit Maneuvers.", + "details": "Production of the previous version (V6) Terra MODIS Land Surface Temperature and Emissivity (LST&E) data products was discontinued on November 15, 2022, due to significant loss of data retrieval following the Constellation Exit Maneuvers.", "version": "MOD11C3.061", "options": { - "resolution": 0.05, - "extract_types": ["max", "mean", "min"], - "extract_types_info" : { - "max" : "maximum land surface temperature value per unit of analysis", - "mean" : "average land surface temperature value per unit of analysis", - "min" : "minimum land surface temperature value per unit of analysis" - }, - "factor": 1, - "variable_description": "temperature in Kelvins" + "resolution": 0.05, + "extract_types": ["max", "mean", "min"], + "extract_types_info" : { + "max" : "maximum land surface temperature value per unit of analysis", + "mean" : "average land surface temperature value per unit of analysis", + "min" : "minimum land surface temperature value per unit of analysis" + }, + "factor": 1, + "variable_description": "temperature in Kelvins" }, "extras": { - "citation": "Wan, Z., Hook, S., Hulley, G. (2015). MOD11C3 MODIS/Terra Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG V061 [Data set]. NASA EOSDIS LP DAAC. doi: 10.5067/MODIS/MOD11C3.061", - "sources_web": "https://lpdaac.usgs.gov/products/mod11c3v061/", - "sources_name": "Land Processes Distributed Active Archive Center", - "tags": ["nasa","earthdata", "modis", "lst", "land surface temperature", "environment", "yearly"] + "citation": "Wan, Z., Hook, S., Hulley, G. (2015). MOD11C3 MODIS/Terra Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG V061 [Data set]. NASA EOSDIS LP DAAC. doi: 10.5067/MODIS/MOD11C3.061", + "sources_web": "https://lpdaac.usgs.gov/products/mod11c3v061/", + "sources_name": "Land Processes Distributed Active Archive Center", + "tags": ["nasa","earthdata", "modis", "lst", "land surface temperature", "environment", "yearly"] }, "active": 1 -} +} \ No newline at end of file diff --git a/datasets/oco2/ingest/monthly_xco2_raster_ingest.json b/datasets/oco2/ingest/monthly_xco2_raster_ingest.json index c45250ea..24d40c24 100644 --- a/datasets/oco2/ingest/monthly_xco2_raster_ingest.json +++ b/datasets/oco2/ingest/monthly_xco2_raster_ingest.json @@ -1,5 +1,6 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/gesdisc/OCO2_L2_Lite_FP.11.1r/xco2/month_interp", + "path": "/geo-datasets/data/rasters/gesdisc/OCO2_L2_Lite_FP.11.1r/xco2/month_interp", + "is_global": true, "type": "raster", "file_extension": ".tif", "file_mask": "xco2_YYYYMM.tif", diff --git a/datasets/oco2/ingest/yearly_xco2_raster_ingest.json b/datasets/oco2/ingest/yearly_xco2_raster_ingest.json index 6b47ccdb..e3d814b8 100644 --- a/datasets/oco2/ingest/yearly_xco2_raster_ingest.json +++ b/datasets/oco2/ingest/yearly_xco2_raster_ingest.json @@ -1,5 +1,6 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/gesdisc/OCO2_L2_Lite_FP.11.1r/xco2/year_interp", + "path": "/geo-datasets/data/rasters/gesdisc/OCO2_L2_Lite_FP.11.1r/xco2/year_interp", + "is_global": true, "type": "raster", "file_extension": ".tif", "file_mask": "xco2_YYYY.tif", diff --git a/datasets/plad/raster_ingest.json b/datasets/plad/raster_ingest.json index 2a1bc990..1b4b968a 100644 --- a/datasets/plad/raster_ingest.json +++ b/datasets/plad/raster_ingest.json @@ -1,27 +1,28 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/plad/v70", + "path": "/geo-datasets/data/rasters/plad/v70", + "is_global": true, "type": "raster", "file_extension": ".tif", "file_mask": "leader_birthplace_data_YYYY.tif", "name": "plad_v70_leader_birthplace", "title": "Presence of a political leader's birthplace (ADM1/ADM2 use only)", "description": "The Political Leaders Affiliation Database (PLAD) contains information on the birthplaces of the effective leaders of 177 countries around the world in the 1989-2023 period. Birthplace coordinates with precision at the ADM2 level or finer were rasterized to support aggregation in GeoQuery at the ADM2 (or coarser) units.", - "details": "Note: more than one birthplace may exist in a given year during transition years. However, the data is only binary, indicating the presence of birthplace of any leader during the given year.", + "details": "Note: more than one birthplace may exist in a given year during transition years. However, the data is only binary, indicating the presence of birthplace of any leader during the given year.", "version": "7.0", "options": { - "resolution": 0.05, - "extract_types": ["max"], - "extract_types_info" : { - "max" : "presence of a leader birthplace in unit of analysis" - }, - "factor": 1, - "variable_description": "binary indicating presence of a leader's birthplace" + "resolution": 0.05, + "extract_types": ["max"], + "extract_types_info" : { + "max" : "presence of a leader birthplace in unit of analysis" + }, + "factor": 1, + "variable_description": "binary indicating presence of a leader's birthplace" }, "extras": { - "citation": "Bomprezzi, Pietro; Dreher, Axel; Fuchs, Andreas; Hailer, Teresa; Kammerlander, Andreas; Kaplan, Lennart; Marchesi, Silvia; Masi, Tania; Robert, Charlotte; Unfried, Kerstin, 2020, The Political Leaders Affiliation Database (PLAD), https://doi.org/10.7910/DVN/YUS575, Harvard Dataverse, V7", - "sources_web": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/YUS575", - "sources_name": "The Political Leaders Affiliation Database (PLAD)", - "tags": ["political", "leaders", "affiliation", "birthplace", "influence", "yearly"] + "citation": "Bomprezzi, Pietro; Dreher, Axel; Fuchs, Andreas; Hailer, Teresa; Kammerlander, Andreas; Kaplan, Lennart; Marchesi, Silvia; Masi, Tania; Robert, Charlotte; Unfried, Kerstin, 2020, The Political Leaders Affiliation Database (PLAD), https://doi.org/10.7910/DVN/YUS575, Harvard Dataverse, V7", + "sources_web": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/YUS575", + "sources_name": "The Political Leaders Affiliation Database (PLAD)", + "tags": ["political", "leaders", "affiliation", "birthplace", "influence", "yearly"] }, "active": 1 } diff --git a/datasets/pm25/monthly_raster_ingest.json b/datasets/pm25/monthly_raster_ingest.json index 61bf087e..de9d663f 100644 --- a/datasets/pm25/monthly_raster_ingest.json +++ b/datasets/pm25/monthly_raster_ingest.json @@ -1,29 +1,30 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/pm25/V5GL04/Global/Monthly", + "path": "/geo-datasets/data/rasters/pm25/V5GL04/Global/Monthly", + "is_global": true, "type": "raster", "file_extension": ".tif", "file_mask": "V5GL04.HybridPM25.Global.200504-YYYYMM.tif ", - "name": "surface_pm25_monthly_V5GL04", + "name": "surface_pm25_monthly_v5gl04", "title": "Monthly Surface PM2.5 Estimates (V5.GL.04)", "description": "Estimates of ground-level fine particulate matter (PM2.5) for 1998-2022 produced by combining Aerosol Optical Depth (AOD) retrievals from the NASA MODIS, MISR, and SeaWIFS instruments with the GEOS-Chem chemical transport model, and subsequently calibrating to global ground-based observations using a Geographically Weighted Regression (GWR).", - "details": "", + "details": "", "version": "V5.GL.04", "options": { - "resolution": 0.01, - "extract_types": ["max", "mean", "min"], - "extract_types_info" : { - "max" : "maximum PM2.5 value per unit of analysis", - "mean" : "average PM2.5 value per unit of analysis", - "min" : "minimum PM2.5 value per unit of analysis" - }, - "factor": 1, - "variable_description": "PM2.5 in micrograms per meter cubed" + "resolution": 0.01, + "extract_types": ["max", "mean", "min"], + "extract_types_info" : { + "max" : "maximum PM2.5 value per unit of analysis", + "mean" : "average PM2.5 value per unit of analysis", + "min" : "minimum PM2.5 value per unit of analysis" + }, + "factor": 1, + "variable_description": "PM2.5 in micrograms per meter cubed" }, "extras": { - "citation": "Aaron van Donkelaar, Melanie S. Hammer, Liam Bindle, Michael Brauer, Jeffery R. Brook, Michael J. Garay, N. Christina Hsu, Olga V. Kalashnikova, Ralph A. Kahn, Colin Lee, Robert C. Levy, Alexei Lyapustin, Andrew M. Sayer and Randall V. Martin (2021). Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty Environmental Science & Technology, 2021, doi:10.1021/acs.est.1c05309", - "sources_web": "https://sites.wustl.edu/acag/datasets/surface-pm2-5/#V5.GL.04", - "sources_name": "Washington University in St. Louis - Atmospheric Composition Analysis Group", - "tags": ["air quality", "pollution", "pm25", "environment", "monthly"] + "citation": "Aaron van Donkelaar, Melanie S. Hammer, Liam Bindle, Michael Brauer, Jeffery R. Brook, Michael J. Garay, N. Christina Hsu, Olga V. Kalashnikova, Ralph A. Kahn, Colin Lee, Robert C. Levy, Alexei Lyapustin, Andrew M. Sayer and Randall V. Martin (2021). Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty Environmental Science & Technology, 2021, doi:10.1021/acs.est.1c05309", + "sources_web": "https://sites.wustl.edu/acag/datasets/surface-pm2-5/#V5.GL.04", + "sources_name": "Washington University in St. Louis - Atmospheric Composition Analysis Group", + "tags": ["air quality", "pollution", "pm25", "environment", "monthly"] }, "active": 1 -} +} \ No newline at end of file diff --git a/datasets/pm25/yearly_raster_ingest.json b/datasets/pm25/yearly_raster_ingest.json index 8b3f88c6..99186935 100644 --- a/datasets/pm25/yearly_raster_ingest.json +++ b/datasets/pm25/yearly_raster_ingest.json @@ -1,29 +1,30 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/pm25/V5GL04/Global/Annual", + "path": "/geo-datasets/data/rasters/pm25/V5GL04/Global/Annual", + "is_global": true, "type": "raster", "file_extension": ".tif", "file_mask": "V5GL04.HybridPM25.Global.201001-YYYY12.tif", - "name": "surface_pm25_annual_V5GL04", + "name": "surface_pm25_annual_v5gl04", "title": "Annual Surface PM2.5 Estimates (V5.GL.04)", "description": "Yearly average of monthly estimates of ground-level fine particulate matter (PM2.5) for 1998-2022 produced by combining Aerosol Optical Depth (AOD) retrievals from the NASA MODIS, MISR, and SeaWIFS instruments with the GEOS-Chem chemical transport model, and subsequently calibrating to global ground-based observations using a Geographically Weighted Regression (GWR).", - "details": "", + "details": "", "version": "V5.GL.04", "options": { - "resolution": 0.01, - "extract_types": ["max", "mean", "min"], - "extract_types_info" : { - "max" : "maximum PM2.5 value per unit of analysis", - "mean" : "average PM2.5 value per unit of analysis", - "min" : "minimum PM2.5 value per unit of analysis" - }, - "factor": 1, - "variable_description": "PM2.5 in micrograms per meter cubed" + "resolution": 0.01, + "extract_types": ["max", "mean", "min"], + "extract_types_info" : { + "max" : "maximum PM2.5 value per unit of analysis", + "mean" : "average PM2.5 value per unit of analysis", + "min" : "minimum PM2.5 value per unit of analysis" + }, + "factor": 1, + "variable_description": "PM2.5 in micrograms per meter cubed" }, "extras": { - "citation": "Aaron van Donkelaar, Melanie S. Hammer, Liam Bindle, Michael Brauer, Jeffery R. Brook, Michael J. Garay, N. Christina Hsu, Olga V. Kalashnikova, Ralph A. Kahn, Colin Lee, Robert C. Levy, Alexei Lyapustin, Andrew M. Sayer and Randall V. Martin (2021). Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty Environmental Science & Technology, 2021, doi:10.1021/acs.est.1c05309", - "sources_web": "https://sites.wustl.edu/acag/datasets/surface-pm2-5/#V5.GL.04", - "sources_name": "Washington University in St. Louis - Atmospheric Composition Analysis Group", - "tags": ["air quality", "pollution", "pm25", "environment", "yearly"] + "citation": "Aaron van Donkelaar, Melanie S. Hammer, Liam Bindle, Michael Brauer, Jeffery R. Brook, Michael J. Garay, N. Christina Hsu, Olga V. Kalashnikova, Ralph A. Kahn, Colin Lee, Robert C. Levy, Alexei Lyapustin, Andrew M. Sayer and Randall V. Martin (2021). Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty Environmental Science & Technology, 2021, doi:10.1021/acs.est.1c05309", + "sources_web": "https://sites.wustl.edu/acag/datasets/surface-pm2-5/#V5.GL.04", + "sources_name": "Washington University in St. Louis - Atmospheric Composition Analysis Group", + "tags": ["air quality", "pollution", "pm25", "environment", "yearly"] }, "active": 1 -} +} \ No newline at end of file diff --git a/datasets/viirs_ntl/ingest/annual_v21_avg_masked_raster_ingest.json b/datasets/viirs_ntl/ingest/annual_v21_avg_masked_raster_ingest.json index 9d59d2d0..b76e4365 100644 --- a/datasets/viirs_ntl/ingest/annual_v21_avg_masked_raster_ingest.json +++ b/datasets/viirs_ntl/ingest/annual_v21_avg_masked_raster_ingest.json @@ -1,31 +1,32 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/viirs/eogdata/annual/v21/avg_masked", + "path": "/geo-datasets/data/rasters/eogdata/viirs_ntl/annual/v21/averaged_masked", + "is_global": true, "type": "raster", "file_extension": ".tif", - "file_mask": "viirs_ntl_annual_YYYY_avg_masked.tif", + "file_mask": "YYYY.tif", "name": "viirs_ntl_annual_v21_avg_masked", - "title": "Annual VIIRS Nighttime Lights v2.1 - Average Value", - "description": "Annual VIIRS nighttime lights product Version 2.1. Average value with background pixels masked. Please use in combination with VIIRS Nighttime Light Cloud Free Coverage product to confirm sufficient cloud free measurements are available within your boundary features.", - "details": "", - "version": 21, + "title": "Annual VIIRS Nighttime Lights v2.1 - Average Value", + "description": "Annual VIIRS nighttime lights product Version 2.1. Average value with background pixels masked. Please use in combination with VIIRS Nighttime Light Cloud Free Coverage product to confirm sufficient cloud free measurements are available within your boundary features.", + "details": "", + "version": 22, "options": { - "resolution": 0.0041666667, - "extract_types": ["max", "mean", "min", "sum", "count"], - "extract_types_info" : { - "max" : "maximum value measured within each unit of analysis", - "mean" : "average value measured within each unit of analysis", - "min" : "minimum value measured within each unit of analysis", - "sum": "sum of values measured within each unit of analysis", - "count" : "total count of pixels per unit of analysis" - }, - "factor": 1, - "variable_description": "Radiance (nW cm^-2 sr^-1)" + "resolution": 0.0041666667, + "extract_types": ["max", "mean", "min", "sum", "count"], + "extract_types_info" : { + "max" : "maximum value measured within each unit of analysis", + "mean" : "average value measured within each unit of analysis", + "min" : "minimum value measured within each unit of analysis", + "sum": "sum of values measured within each unit of analysis", + "count" : "total count of pixels per unit of analysis" + }, + "factor": 1, + "variable_description": "Radiance (nW cm^-2 sr^-1)" }, "extras": { - "citation": "C. D. Elvidge, M. Zhizhin, T. Ghosh, F-C. Hsu, Annual time series of global VIIRS nighttime lights derived from monthly averages: 2012 to 2019, Remote Sensing", - "sources_web": "https://eogdata.mines.edu/products/vnl/", - "sources_name": "Earth Observation Group - VIIRS Nighttime Lights", - "tags": ["nighttimelights", "viirs", "economics", "welfare"] + "citation": "C. D. Elvidge, M. Zhizhin, T. Ghosh, F-C. Hsu, Annual time series of global VIIRS nighttime lights derived from monthly averages: 2012 to 2019, Remote Sensing", + "sources_web": "https://eogdata.mines.edu/products/vnl/", + "sources_name": "Earth Observation Group - VIIRS Nighttime Lights", + "tags": ["nighttimelights", "viirs", "economics", "welfare"] }, "active": 1 } diff --git a/datasets/wdpa/wdpa_iucn_raster_ingest.json b/datasets/wdpa/wdpa_iucn_raster_ingest.json index 230ca2f3..bc91c82f 100644 --- a/datasets/wdpa/wdpa_iucn_raster_ingest.json +++ b/datasets/wdpa/wdpa_iucn_raster_ingest.json @@ -1,8 +1,9 @@ { - "base": "/sciclone/aiddata10/REU/geo/data/rasters/wdpa/Jun2024/iucn_cat", + "path": "/geo-datasets/data/rasters/wdpa", + "is_global": true, "type": "raster", "file_extension": ".tif", - "file_mask": "None", + "file_mask": "JunYYYY/iucn_cat/wdpa_iucn_cat.tif", "name": "wdpa_iucn_cat_202406", "title": "Protected Areas (IUCN Categories) - June 2024", "description": "The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas. Dataset downloaded June 2024. This is a categorical raster indicating the IUCN category (or relevant information when no category exists) of the protected area covering each pixel. ", @@ -39,4 +40,4 @@ } }, "active": 1 -} +} \ No newline at end of file