AndreaBozzo/ceres-open-data-index huggingface dataset:
Sensitivity of Coastal Environments and Wildlife to Spilled Oil: Hudson River: FISH (Fish Polygons)

This data set contains sensitive biological resource data for marine, estuarine, anadromous, and freshwater fish species in the Hudson River.  Vector polygons in this data set represent fish distribution, concentration areas, and spawning areas. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for the Hudson River.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2006, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, fish, hudson river, national ocean service, noaa, office of response and restoration, oil spill planning, sensitivity maps, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Sensitivity of Coastal Environments and Wildlife to Spilled Oil: Northern California: SOCECON (Socioeconomic Resource Points and Lines)

This data set contains the following human-use resource data for Northern California: access areas, airports, aquaculture sites, beaches, boat ramps, Coast Guard areas, commercial/recreational fishing areas, essential habitats, historical sites, hoists, marinas, staging areas, subsistence areas, wash overs, and water intakes.  Vector points and lines in this data set represent the human-use locations.  Location-specific type and source information is stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.  This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Northern California.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.  See also the MGT (Management Area Polygons) data layer, part of the larger Northern California ESI database, for additional human-use information.

Tags: 2008, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, human use resources, national ocean service, noaa, northern california, office of response and restoration, oil spill planning, sensitivity maps, socioeconomic resources, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Guam and the Northern Mariana Islands ESI: M_MAMMAL (Marine Mammal Polygons)

This data set contains sensitive biological resource data for dolphins in Guam and the Northern Mariana Islands.  Vector polygons in this data set represent marine mammal concentration areas. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Guam and the Northern Mariana Islands.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2005, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, guam and the northern mariana islands, marine mammal, national ocean service, noaa, office of response and restoration, oil spill planning, sensitivity maps, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
U.S. Virgin Islands and British Virgin Islands ESI: SHELFBND (Shelf Boundary)

This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. This data set contains data representing the shelf boundary (the seaward extent of the shelf edge reef).

Tags: 2000, british virgin islands, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, national ocean service, noaa, office of response and restoration, oil spill planning, sensitivity maps, shelf boundary, u.s. department of commerce, us virgin islands, virgin islands (u.s. and british)
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Maryland ESI: INDEX (Index Polygons)

This data set contains vector polygons representing the boundaries of all hardcopy cartographic products produced as part of the Environmental Sensitivity Index (ESI) for Maryland.  This data set comprises a portion of the ESI data for Maryland.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2007, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, maryland, national ocean service, noaa, office of response and restoration, oil spill planning, sensitivity maps, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
U.S. Virgin Islands and British Virgin Islands ESI: BENTHIC (Benthic Marine Habitats)

This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. This data set contains sensitive biological resource data for benthic marine habitats.

Tags: 2000, algae, benthic, british virgin islands, coastal resources, coastal zone management, coral, doc/noaa/nos/orr, environmental monitoring, esi, hardbottom, national ocean service, noaa, office of response and restoration, oil spill planning, sensitivity maps, submersed aquatic vegetation (sav), u.s. department of commerce, us virgin islands, virgin islands (u.s. and british)
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Rhode Island, Connecticut, New York, and New Jersey ESI: SOCECON (Socioeconomic Resource Points and Lines)

This data set contains human-use resource data for bridges, state borders, airports, aquaculture sites, beaches, boat ramps, commercial fishing sites, Coast Guard, ferries, historical sites, marinas, water intakes, and wash over sites in Rhode Island, Connecticut, New York, and New Jersey.  Vector points in this data set represent human-use site locations.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Rhode Island, Connecticut, New York, and New Jersey. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the MGT (Management Area Polygons) data layer, part of the larger Rhode Island, Connecticut, New York, and New Jersey ESI database, for additional human-use information.

Tags: 2001, and ny-nj metropolitan area, coastal resources, coastal zone management, connecticut, doc/noaa/nos/orr, environmental monitoring, esi, national ocean service, new jersey, new york, noaa, office of response and restoration, oil spill planning, rhode island, sensitivity maps, socioeconomic, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
North Slope, Alaska ESI: HABITATS (Habitat Polygons)

This data set contains sensitive biological resource data for benthic marine habitats for the North Slope of Alaska.  Vector polygons in this data set represent benthic marine habitat distribution. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for North Slope, Alaska.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2005, alaska, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, habitats, national ocean service, noaa, north slope, office of response and restoration, oil spill planning, sensitivity maps, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Bristol Bay, Alaska Subarea ESI: ESI (Environmental Sensitivity Index Shoreline Types - Lines and Polygons)

This data set contains vector lines and polygons representing the shoreline and coastal habitats of the Bristol Bay Subarea, classified according to the Environmental Sensitivity Index (ESI) classification system. The Subarea includes marine and coastal areas of Bristol Bay and part of the southern Alaska Peninsula. (This area extends from directly south of Goodnews Bay to slightly north of Port Seniavan along the Bristol Bay side of the Alaska Peninsula, as well as the Pacific Ocean side of the Alaska Peninsula from Cape Providence to Kupreanof Peninsula.) This data set comprises a portion of the ESI for the Bristol Bay Subarea. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2004, alaska, bristol bay, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, national ocean service, noaa, office of response and restoration, oil spill planning, sensitivity maps, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Western Alaska ESI: BIRDS (Bird Polygons)

This data set contains sensitive biological resource data for wading birds, shorebirds, waterfowl, raptors, diving birds, seabirds, passerine birds, and gulls and terns in Western Alaska. Vector polygons in this data set represent locations of bird nesting, migratory staging, molting, and wintering sites. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Western Alaska. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the NESTS (Nest Points) data layer, part of the larger Western Alaska ESI database, for additional bird information.

Tags: 2003, alaska, bird, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, national ocean service, noaa, office of response and restoration, oil spill planning, sensitivity maps, u.s. department of commerce, western alaska, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Louisiana ESI: FISH (Fish Polygons)

This data set contains sensitive biological resource data for freshwater (inland) fish species in coastal Louisiana. Vector polygons represent water-bodies and other fish habitats with similar species composition and relative abundance in various inland rivers, lakes, and, in some cases, adjacent wetlands. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Louisiana.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2003, coastal resources, coastal zone management, doc/noaa/nos/orr, environmental monitoring, esi, fish, louisiana, national ocean service, noaa, office of response and restoration, oil spill planning, sensitivity maps, u.s. department of commerce, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
U.S. Virgin Islands and British Virgin Islands ESI: INVERT (Invertebrate Polygons)

This data set comprises the Environmental Sensitivity Index (ESI) data for the Virgin Islands. ESI data characterize estuarine environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. This data set contains sensitive biological resource polygonal data for invertebrates.

Tags: 2000, bivalve, british virgin islands, cephalopod, coastal resources, coastal zone management, crab, doc/noaa/nos/orr, environmental monitoring, esi, gastropod, invertebrate, lobster, national ocean service, noaa, office of response and restoration, oil spill planning, sensitivity maps, shellfish, shrimp, u.s. department of commerce, us virgin islands, virgin islands (u.s. and british)
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
TRIPRS -

The Traffic Records Improvement Program Reporting System (TRIPRS) contains detailed information on all projects contained in the strategic plans submitted by the states and U.S.Territories for the NHTSA Section 408 grant application. Recently, it has been adopted by FMCSA, FHWA, and the US-DOT TRCC as a tool to track all safety data improvement funds given to states. Reporting tool supported by NCSA. NATIONAL DRIVER REGISTER & TRAFFIC RECORDS (NVS-422). Link to Traffic Records resources.

Tags: applications, highway, hsp, plans, safety
Organization: Department of Transportation
State Traffic Safety Information

The State Traffic Safety Information (STSI) portal is part of the larger Fatality Analysis Reporting System (FARS) Encyclopedia. STSI provides state-by-state traffic safety profiles, including: crash data, lives saved/savable, legislation, economic costs, grant funding, alcohol related crash data, performance measures, and geographic maps of crash data.

Tags: crash, data, fatality, geospatial, human, person, roadway, safety, vehicle
Organization: Department of Transportation
Eyes on the Solar System

Eyes on the Solar System is a software package developed by NASA Jet Propulsion Laboratory and the California Institute of Technology using data provided by NASA's Navigation and Ancillary Information Facility (NAIR). Eyes on the Solar System is a 3-D environment full of real NASA mission data. Explore the cosmos from your computer. Hop on an asteroid. Fly with NASA's Voyager spacecraft. See the entire solar system moving in real time. It's up to you. You control space and time. Before choosing any of the modules below, this visualization tool requires a quick one-time download and install. Once downloaded, run the file to install. To download, see the attachment here.

Tags: 3d, eoss, jpl, mission-data, nair, rcs
Organization: National Aeronautics and Space Administration
Algea Raceway

Experiments were conducted on 3 small raceways in which spirulina was inoculated. The growth and, ultimately, decline of the algae biomass was recorded along with several environmental parameters. Experiments were conducted by the Exobiology group at NASA Ames.

Data Set Citation: Brad Bebout, Leslie Profert-Bebout, Erich Fleming, Angela Detweiler, and Kai Goebel "Algae Raceway Data Set", NASA Prognostics Data Repository, NASA Ames Research Center, Moffett Field, CA

Tags: nasa
Organization: National Aeronautics and Space Administration
Fatigue Crack Growth in Aluminum Lap Joint

Fatigue experiments were conducted on aluminum lap-joint specimens, and lamb wave signals were recorded for each specimen at several time points (i.e., defined as number of cycles in fatigue testing). Signals from piezo actuator-receiver sensor pairs were reported and it was observed that these signals were directly related to the crack lengths developed during fatigue testing. Optical measurements of surface crack lengths are also provided as the ground truth. The data set is split in training and validation to facilitate the application of data-driven methods. 

This data set was generated at Arizona State University by Prof. Yongming Liu, Dr. Tishun Peng, and their collaborators. The data set was used for the Prognostics Health Management (PHM) Data Challenge for the 2019 Conference on Prognostics and Health Management. Other than the data set authors, the following individuals helped put together the 2019 PHM data challenge and make the data set publicly available: Matteo Corbetta and Portia Banerjee (KBR, Inc, NASA Ames), Kurt Doughty (Collins Aerospace), Kai Goebel (PARC), and Scott Clements (Lockheed Martin).

Data Set Citation: 
Peng T, He J, Xiang Y, Liu Y, Saxena A, Celaya J, Goebel K. Probabilistic fatigue damage prognosis of lap joint using Bayesian updating. Journal of Intelligent Material Systems and Structures. 2015 May;26(8):965-79.

Publication Citation: 
He J, Guan X, Peng T, Liu Y, Saxena A, Celaya J, Goebel K. A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using Lamb waves. Smart Materials and Structures. 2013 Sep 4;22(10):105007.

Tags: degradation, ivhm, phm, prognostics, structures
Organization: National Aeronautics and Space Administration
New York State Snowmobile Trail System

The New York State Office of Parks, Recreation and Historic Preservation (OPRHP) oversees more than 250 state parks, historic sites, recreational trails, golf courses, boat launches and more,  encompassing nearly 350,000 acres, that are visited by 74 million people annually.  These facilities contribute to the economic vitality and quality of life of local communities and directly support New York’s tourism industry.  Parks also provide a place for families and children to be active and exercise, promoting healthy lifestyles.  The agency is responsible for the operation and stewardship of the state park system as well as advancing a statewide parks, historic preservation, and open space mission.  

This dataset includes GIS coordinates for approximately 10,000 miles of funded snowmobile trails in New York State.

Tags: snowmobile, state-parks, trails, winter-recreation
Organization: State of New York
Meteorites Cp(T)

07/19/2021
Version 1

Specific Heat Capacity Measurements of Selected Meteorites for Planetary Surface Temperature Modeling

Sylvain Piqueux 1, Tuan H. Vu 1, Jonathan Bapst 1, Laurence A.J. Garvie 2, Mathieu Choukroun 1, Christopher S. Edwards 3

1 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California
2 Center for Meteorite Studies, Arizona State University, Tempe, Arizona
3 Department of Astronomy and Planetary Sciences, Northern Arizona University, Flagstaff, Arizona

Journal of Geophysical Research

Contact: sylvain.piqueux@jpl.caltech.edu

This document describes data files presented with "Specific Heat Capacity Measurements of Selected Meteorites for Planetary Surface Temperature Modeling". The paper reports specific capacity measurements in Joule per kilogram per Kelvin, in contrast with the laboratory data files (Joule per gram per Kelvin, second column in each data file) kept in their original form. Temperatures (first column in each data file) are given in Kelvin.

Data.zip contains three folders:

/Appendix_1/: two data files used to generate the plots presented in Appendix. Data in Diamond_DeSorbo1953_Table2.txt originates from DeSorbo, W. (1953), Specific Heat of Diamond at Low Temperatures, Journal of Chemical Physics, 21(5), 876-880, doi:10.1063/1.1699050. Data in Diamond.txt has been acquired as part of this work.

/Data/: 29 data files generated for this work for 28 meteorites. Allende is associated with two distinct files, Allende_CV3_Powder.txt for data acquired with a particulated sample, and Allende_CV3_Slab.txt for data acquired with a slab (see Figure 1 and related text in the paper).

/Data_Ambient/: four data files for samples kept under ambient conditions (see Table 2, Figure 2, and related text in the paper).

Tags: meteorites, specific-heat-capacity, thermal-modeling
Organization: National Aeronautics and Space Administration
CMAPSS Jet Engine Simulated Data

Data sets consists of multiple multivariate time series. Each data set is further divided into training and test subsets. Each time series is from a different engine i.e., the data can be considered to be from a fleet of engines of the same type. Each engine starts with different degrees of initial wear and manufacturing variation which is unknown to the user. This wear and variation is considered normal, i.e., it is not considered a fault condition. There are three operational settings that have a substantial effect on engine performance. These settings are also included in the data. The data is contaminated with sensor noise.

The engine is operating normally at the start of each time series, and develops a fault at some point during the series. In the training set, the fault grows in magnitude until system failure. In the test set, the time series ends some time prior to system failure. The objective of the competition is to predict the number of remaining operational cycles before failure in the test set, i.e., the number of operational cycles after the last cycle that the engine will continue to operate. Also provided a vector of true Remaining Useful Life (RUL) values for the test data.

The data are provided as a zip-compressed text file with 26 columns of numbers, separated by spaces. Each row is a snapshot of data taken during a single operational cycle, each column is a different variable. The columns correspond to:
1)            unit number
2)            time, in cycles
3)            operational setting 1
4)            operational setting 2
5)            operational setting 3
6)            sensor measurement  1
7)            sensor measurement  2
...
26)          sensor measurement  26
 
Data Set: FD001
Train trjectories: 100
Test trajectories: 100
Conditions: ONE (Sea Level)
Fault Modes: ONE (HPC Degradation)
 
Data Set: FD002
Train trjectories: 260
Test trajectories: 259
Conditions: SIX
Fault Modes: ONE (HPC Degradation)

Data Set: FD003
Train trjectories: 100
Test trajectories: 100
Conditions: ONE (Sea Level)
Fault Modes: TWO (HPC Degradation, Fan Degradation)

Data Set: FD004
Train trjectories: 248
Test trajectories: 249
Conditions: SIX
Fault Modes: TWO (HPC Degradation, Fan Degradation)

Reference: A. Saxena, K. Goebel, D. Simon, and N. Eklund, ‘Damage Propagation Modeling for Aircraft Engine Run-to-Failure Simulation’, in the Proceedings of the 1st International Conference on Prognostics and Health Management (PHM08), Denver CO, Oct 2008.

Tags: degradation, fan-degradation, ivhm, phm, prognostics
Organization: National Aeronautics and Space Administration