This comprehensive data set from The Meteoritical Society contains information on all of the known meteorite landings. The Fusion Table is collected by Javier de la Torre and we've also provided an XLS file that consists of 34,513 meteorites and includes the following fields:
place
type_of_meteorite
mass_g
fell_found
year
database
coordinate_1
coordinates_2
cartodb_id
created_at
updated_at
year_date
longitude
latitude
geojson

**5/14/13
Please find an updated data set from The Meteoritical Society that includes more recent meteorites. Under NameType, 'valid' is for most meteorites and 'relict' are for objects that were once meteorites but are now highly altered by weathering on Earth.

The POWER Project contains over 380 satellite-derived meteorology and solar energy Analysis Ready Data (ARD) at four temporal levels: hourly, daily, monthly (by year 12 months + annual averages), and climatology. The POWER Data Archive provides data at the native resolution of the source data products. The data is updated nightly to maintain Near Real Time (NRT) availability (2-3 days for meteorological parameters and 5-7 days for solar).

The POWER Project targets three specific user communities: Renewable Energy (RE), Sustainable Buildings (SB), and Agroclimatology (AG). The POWER Projects provides community specific parameters, output formats, naming conventions, and units that are commonly employed by each user community.

The POWER Services Catalog consists of a series of RESTful Application Programming Interfaces (API), geospatial enabled image services, and a web mapping Data Access Viewer (DAV). These three different service offerings support data discovery, access, and distribution to our user base as ARD and as direct application inputs to decision support tools.

World Map

The Global Landslide Catalog (GLC) was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impacts or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The GLC has been compiled since 2007 at NASA Goddard Space Flight Center. This is a unique data set with the ID tag “GLC” in the landslide editor.

This dataset on data.nasa.gov was a one-time export from the Global Landslide Catalog maintained separately. It is current as of March 7, 2016. The original catalog is available here: http://www.arcgis.com/home/webmap/viewer.html?url=https%3A%2F%2Fmaps.nccs.nasa.gov%2Fserver%2Frest%2Fservices%2Fglobal_landslide_catalog%2Fglc_viewer_service%2FFeatureServer&source=sd

To export GLC data, you must agree to the “Terms and Conditions”. We request that anyone using the GLC cite the two sources of this database:

Kirschbaum, D. B., Adler, R., Hong, Y., Hill, S., & Lerner-Lam, A. (2010). A global landslide catalog for hazard applications: method, results, and limitations. Natural Hazards, 52(3), 561–575. doi:10.1007/s11069-009-9401-4. [1]
Kirschbaum, D.B., T. Stanley, Y. Zhou (In press, 2015). Spatial and Temporal Analysis of a Global Landslide Catalog. Geomorphology. doi:10.1016/j.geomorph.2015.03.016. [2]

This tenth compilation of outgassing data of materials intended for spacecraft use supersedes Reference Publication 1124, Revision 3, September 1993. The data were obtained at the Goddard Space Flight Center (GSFC), utilizing equipment developed at Stanford Research Institute (SRI) under contract to the Jet Propulsion Laboratory (JPL).

This data set has been collected from a custom built battery prognostics testbed at the NASA Ames Prognostics Center of Excellence (PCoE). Li-ion batteries were run through 3 different operational profiles (charge, discharge and Electrochemical Impedance Spectroscopy) at different temperatures. Discharges were carried out at different current load levels until the battery voltage fell to preset voltage thresholds. Some of these thresholds were lower than that recommended by the OEM (2.7 V) in order to induce deep discharge aging effects. Repeated charge and discharge cycles result in accelerated aging of the batteries. The experiments were stopped when the batteries reached the end-of-life (EOL) criteria of 30% fade in rated capacity (from 2 Ah to 1.4 Ah).

**Data Acquisition:**

The testbed comprises:

* Commercially available Li-ion 18650 sized rechargeable batteries,
* Programmable 4-channel DC electronic load,
* Programmable 4-channel DC power supply,
* Voltmeter, ammeter and thermocouple sensor suite,
* Custom EIS equipment,
* Environmental chamber to impose various operational conditions,
* PXI chassis based DAQ and experiment control, and

MATLAB based experiment control, data acquisition and prognostics algorithm evaluation setup (appx. data acquisition rate is 10Hz).

**Parameter Description:**

Data Structure:

cycle: top level structure array containing the charge, discharge and impedance operations

type: operation type, can be charge, discharge or impedance

ambient_temperature: ambient temperature (degree C)

time: the date and time of the start of the cycle, in MATLAB date vector format

data: data structure containing the measurements

for charge the fields are:

Voltage_measured: Battery terminal voltage (Volts)

Current_measured: Battery output current (Amps)

Temperature_measured: Battery temperature (degree C)

Current_charge: Current measured at charger (Amps)

Voltage_charge: Voltage measured at charger (Volts)

Time: Time vector for the cycle (secs)

for discharge the fields are:

Voltage_measured: Battery terminal voltage (Volts)

Current_measured: Battery output current (Amps)

Temperature_measured: Battery temperature (degree C)

Current_charge: Current measured at load (Amps)

Voltage_charge: Voltage measured at load (Volts)

Time: Time vector for the cycle (secs)

Capacity: Battery capacity (Ahr) for discharge till 2.7V

for impedance the fields are:

Sense_current: Current in sense branch (Amps)

Battery_current: Current in battery branch (Amps)

Current_ratio: Ratio of the above currents

Battery_impedance: Battery impedance (Ohms) computed from raw data

Rectified_impedance: Calibrated and smoothed battery impedance (Ohms)

Re: Estimated electrolyte resistance (Ohms)

Rct: Estimated charge transfer resistance (Ohms)

**Intended Use:**

The data sets can serve for a variety of purposes. Because these are essentially a large number of Run-to-Failure time series, the data can be set for development of prognostic algorithms. In particular, due to the differences in depth-of-discharge (DOD), the duration of rest periods and intrinsic variability, no two cells have the same state-of-life (SOL) at the same cycle index. The aim is to be able to manage this uncertainty, which is representative of actual usage, and make reliable predictions of Remaining Useful Life (RUL) in both the End-of-Discharge (EOD) and End-of-Life (EOL) contexts.

NASA Facilities

The table below provides J2000 heliocentric ecliptic orbital elements
for 170 NECs (Near-Earth Comets) sorted by object number/name.

User note: This version of the GLC is not being updated. For the latest version, please go to https://landslides.nasa.gov

The Global Landslide Catalog (GLC) was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impacts or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The GLC has been compiled since 2007 at NASA Goddard Space Flight Center.

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.