AndreaBozzo/ceres-open-data-index huggingface dataset:
Detections of burros from helicopter aerial surveys in the southwestern US, 2016-2018

Feral burros (Equus asinus) and horses (E. ferus caballus) inhabiting public land in the western United States are intended to be managed at population levels established to promote a thriving, natural ecological balance. Like many large ungulate populations, management agencies employ aerial surveys to obtain estimates of horse and burro population sizes. Double-observer sightability (MDS) models perform well for estimating feral horse abundances, yet the effectiveness of these models for use in burro populations is less understood and may be different due to the smaller size, stoic behavior, and cryptic pelage of burros. These models help minimize detection bias, yet bias can be further reduced with models that account for unmodeled variation, or residual heterogeneity, in detection probability. In populations containing radio-marked individuals, residual heterogeneity can be estimated with MDS models by including an additional capture history corresponding to detections of marked individuals because these detections provide information on groups missed by both observers. One approach to estimate residual heterogeneity is including a covariate in detection models that estimates the difference in detection probability between marked and unmarked groups. Such a difference relies on many marked groups having no probability of detection; but this may not be realized in all populations, and therefore may underestimate residual heterogeneity. Another approach is to use information from detections missed by both observers to account for the characteristics that make groups more or less likely to be detected, or “recaptured”, by the second observer. This dataset contains burro detections from aerial surveys conducted between 2016-2018 in 3 burro populations that were used to develop MDS models applicable for feral burros in the southwestern United States. 
We also include an R script that will help users set up and run 4 types of MDS models: a standard MDS model without radio-telemetry, an MDS model with telemetry that assumes no residual heterogeneity is present; a MDS model with radio-telemetry that estimates residual heterogeneity by the difference in detection between marked and unmarked groups, and an MDS model that accounts for residual heterogeneity through recapture probability.

Tags: abundance-estimation, aerial-survey, arizona, biota, burro, california, detection-probability, double-observer, fort-irwin-national-training-center, helicopter, lake-pleasant-herd-management-area, residual-heterogeneity, sightability, sinbad-herd-management-area, usgs-6154cf51d34e0df5fb9dbcc1, usgs-ema-low-mr-rangeland, usgs-ema-low-sb-smc-wild-horses, utah
Organization: Department of the Interior
2013 3 ft Digital Elevation Model of Clarksburg, Maryland

This is a 3 ft resolution digital elevation model derived from light detection and ranging (lidar). Lidar was collected in 2013 and coverage includes a portion of Clarksburg, Maryland, focused around the Clarksburg Special Protection Area (CSPA).

Tags: clarksburg, clarksburg-special-protection-area, dem, digital-elevation-models, elevation, land-use-change, lidar, maryland, montgomery-county, topography, usgs-6155aee0d34e0df5fb9e6c5d
Organization: Department of the Interior
Spreadsheet of fitted historical precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from CORDEX downscaled climate dataset (DDF_CORDEX_historical.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. 
      A Microsoft Excel workbook is provided which tabulates fitted historical precipitation depths derived from the Coordinated Regional Downscaling Experiment (CORDEX) dataset at model grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The historical extreme precipitation depths are fitted to extreme precipitation data using a constrained maximum likelihood approach and tabulated by duration (1, 3, and 7 days) and return period (5, 10, 25, 50, 100, and 200 years).

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-615720f4d34e0df5fb9f829d
Organization: Department of the Interior
Spreadsheet of fitted historical precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from LOCA downscaled climate dataset (DDF_LOCA_historical.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. 
      A Microsoft Excel workbook is provided which tabulates fitted historical precipitation depths derived from the Localized Constructed Analogues (LOCA) dataset at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The historical extreme precipitation depths are fitted to extreme precipitation data using a constrained maximum likelihood approach and tabulated by duration (1, 3, and 7 days) and return period (5, 10, 25, 50, 100, and 200 years).

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-6157221fd34e0df5fb9f82a3
Organization: Department of the Interior
Spreadsheet of fitted projected future precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from MACA downscaled climate dataset (DDF_MACA_future.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. 
      A Microsoft Excel workbook is provided which tabulates fitted projected future precipitation depths derived from the Multivariate Adaptive Constructed Analogs (MACA) dataset at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The projected future extreme precipitation depths are fitted to extreme precipitation data using a constrained maximum likelihood approach and tabulated by duration (1, 3, and 7 days) and return period (5, 10, 25, 50, 100, and 200 years).

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-615722ced34e0df5fb9f82a7
Organization: Department of the Interior
Spreadsheet of fitted historical precipitation depths at 170 NOAA Atlas 14 stations in central and south Florida derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) downscaled climate dataset (DDF_JupiterWRF_historical.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period.  
A Microsoft Excel workbook is provided which tabulates fitted historical precipitation depths derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The historical extreme precipitation depths are fitted to extreme precipitation data using a maximum likelihood approach and tabulated by duration (1 day) and return period (5, 10, 25, 50, 100, and 200 years).

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-6157231fd34e0df5fb9f82aa
Organization: Department of the Interior
Spreadsheet of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from the Coordinated Regional Downscaling Experiment (CORDEX) downscaled climate dataset (CF_CORDEX_future_to_historical.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. 
      A Microsoft Excel workbook is provided which tabulates change factors derived from the Coordinated Regional Downscaling Experiment (CORDEX) dataset at model grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data using a constrained maximum likelihood approach. The change factors are tabulated by duration (1, 3, and 7 days) and return period (5, 10, 25, 50, 100, and 200 years).

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-61572403d34e0df5fb9f82af
Organization: Department of the Interior
Spreadsheet of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from the Localized Constructed Analogues (LOCA) downscaled climate dataset (CF_LOCA_future_to_historical.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. 
      A Microsoft Excel workbook is provided which tabulates change factors derived from the Localized Constructed Analogues (LOCA) dataset at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical precipitation depths fitted to extreme precipitation data using a constrained maximum likelihood approach. The change factors are tabulated by duration (1, 3, and 7 days) and return period (5, 10, 25, 50, 100, and 200 years).

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-61572461d34e0df5fb9f82b2
Organization: Department of the Interior
Spreadsheet of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from the Multivariate Adaptive Constructed Analogs (MACA) downscaled climate dataset (CF_MACA_future_to_historical.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. 
      A Microsoft Excel workbook is provided which tabulates change factors derived from the Multivariate Adaptive Constructed Analogs (MACA) dataset at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical precipitation depths fitted to extreme precipitation data using a constrained maximum likelihood approach. The change factors are tabulated by duration (1, 3, and 7 days) and return period (5, 10, 25, 50, 100, and 200 years).

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-615724ecd34e0df5fb9f82b6
Organization: Department of the Interior
Spreadsheet of quantiles of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from various downscaled climate datasets considering all models and all future emission scenarios evaluated (CFquantiles_future_to_historical_allmodels_allRCPs.xlsx).

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. 
      A Microsoft Excel workbook is provided which tabulates quantiles of change factors derived from various downscaled climate datasets at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida considering all the models and all the future emission scenarios evaluated as part of this project. The change factors were computed as the ratio of projected future to historical precipitation depths fitted to extreme precipitation data using a constrained maximum likelihood approach (CML) for Coordinated Regional Climate Downscaling Experiment (CORDEX), Localized Constructed Analogs) (LOCA) and Multivariate Adaptive Constructed Analogs (MACA) datasets, and a traditional maximum likelihood (ML) approach for the JupiterWRF (Weather Research and Forecasting Model) dataset. The quantiles of change factors are tabulated by duration (1, 3, and 7 days) and return period (5, 10, 25, 50, 100, and 200 years) for percentiles (non-exceedance probabilities) of 5, 16, 50, 84, and 95 percent considering all available models within each dataset and all the future emission scenarios evaluated. The emission scenarios evaluated include representative concentration pathways RCP4.5 and RCP8.5 from the Coupled Model Intercomparison Project Phase 5 (CMIP5) for the downscaled climate datasets CORDEX, LOCA, and MACA. The emission scenarios evaluated for the JupiterWRF downscaled dataset include RCP8.5 from CMIP5, and shared socioeconomic pathways SSP2-4.5 and SSP5-8.5 from the Coupled Model Intercomparison Project Phase 6 (CMIP6). Only daily durations are evaluated for JupiterWRF.

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-6157260cd34e0df5fb9f82c0
Organization: Department of the Interior
Spreadsheet of quantiles of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from various downscaled climate datasets considering all models, and the RCP4.5 and SSP2-4.5 future emission scenarios (CFquantiles_future_to_historical_all_models_RCP4.5.xlsx).

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. 
      A Microsoft Excel workbook is provided which tabulates quantiles of change factors derived from various downscaled climate datasets at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida considering all the models and the RCP4.5 and SSP2-4.5 future emission scenarios. The change factors were computed as the ratio of projected future to historical precipitation depths fitted to extreme precipitation data using a constrained maximum likelihood approach (CML) for Coordinated Regional Climate Downscaling Experiment (CORDEX), Localized Constructed Analogs) (LOCA) and Multivariate Adaptive Constructed Analogs (MACA) datasets, and a traditional maximum likelihood (ML) approach for the JupiterWRF (Weather Research and Forecasting Model) dataset. The quantiles of change factors are tabulated by duration (1, 3, and 7 days) and return period (5, 10, 25, 50, 100, and 200 years) for percentiles (non-exceedance probabilities) of 5, 16, 50, 84, and 95 percent considering all available models within each dataset and the representative concentration pathway RCP4.5 and shared socioeconomic pathway SSP2-4.5 future emission scenarios. RCP4.5 belongs to the Coupled Model Intercomparison Project Phase 5 (CMIP5) and is available for the downscaled climate datasets CORDEX, LOCA, and MACA. SSP2-4.5 belongs to the Couple Model Intercomparison Phase 6 (CMIP6) and is available only for JupiterWRF. Only daily durations are evaluated for JupiterWRF.

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-61572674d34e0df5fb9f82d1
Organization: Department of the Interior
Spreadsheet of quantiles of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from various downscaled climate datasets considering all models, and the RCP8.5 and SSP5-8.5 future emission scenarios (CFquantiles_future_to_historical_all_models_RCP8.5.xlsx).

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period. 
      A Microsoft Excel workbook is provided which tabulates quantiles of change factors derived from various downscaled climate datasets at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida considering all the models and the RCP8.5 and SSP5-8.5 future emission scenarios. The change factors were computed as the ratio of projected future to historical precipitation depths fitted to extreme precipitation data using a constrained maximum likelihood approach (CML) for Coordinated Regional Climate Downscaling Experiment (CORDEX), Localized Constructed Analogs) (LOCA) and Multivariate Adaptive Constructed Analogs (MACA) datasets, and a traditional maximum likelihood (ML) approach for the JupiterWRF (Weather Research and Forecasting Model) dataset. The quantiles of change factors are tabulated by duration (1, 3, and 7 days) and return period (5, 10, 25, 50, 100, and 200 years) for percentiles (non-exceedance probabilities) of 5, 16, 50, 84, and 95 percent considering all available models within each dataset and the representative concentration pathway RCP8.5 and shared socioeconomic pathway SSP5-8.5 future emission scenarios. RCP8.5 belongs to the Coupled Model Intercomparison Project Phase 5 (CMIP5) and is available for the downscaled climate datasets CORDEX, LOCA, MACA, and JupiterWRF. SSP5-8.5 belongs to the Couple Model Intercomparison Phase 6 (CMIP6) and is available only for JupiterWRF. Only daily durations are evaluated for JupiterWRF.

Tags: climatologymeteorologyatmosphere, depth-duration-frequency, extremes, florida, precipitation-atmospheric, precipitation-extremes, south-florida, south-florida-water-management-district, southern-florida, usgs-615726b5d34e0df5fb9f82d5
Organization: Department of the Interior