Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Rentschler, Tobias; Schmidt, Karsten; Behrens, Thorsten; Scholten, Thomas (2021): Key IDs to link the soil properties data and the multi-scale terrain covariates as well as spatial and depth information of the soil samples from Lora del Rio, Andalusia, Spain [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.938680, In supplement to: Rentschler, Tobias; Bartelheim, Martin; Behrens, Thorsten; Díaz-Zorita Bonilla, Marta; Teuber, Sandra; Scholten, Thomas; Schmidt, Karsten (2022): Contextual spatial modelling in the horizontal and vertical domains. Scientific Reports, 12(1), https://doi.org/10.1038/s41598-022-13514-5

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Project(s):
Coverage:
Median Latitude: 37.625965 * Median Longitude: -5.539536 * South-bound Latitude: 37.499283 * West-bound Longitude: -5.784190 * North-bound Latitude: 37.765395 * East-bound Longitude: -5.309347
Date/Time Start: 2018-10-01T00:00:00 * Date/Time End: 2018-10-11T00:00:00
Event(s):
Lora_del_Rio * Latitude: 37.624336 * Longitude: -5.528695 * Date/Time Start: 2018-10-01T00:00:00 * Date/Time End: 2018-10-11T00:00:00 * Location: Lora del Rio, Analusia, Spain * Method/Device: Auger (AUG)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1LATITUDELatitudeRentschler, TobiasGeocode
2LONGITUDELongitudeRentschler, TobiasGeocode
3ProfileProfileRentschler, Tobiasprofile ID
4Laboratory code/labelLab labelRentschler, Tobias
5Sample code/labelSample labelRentschler, Tobiassample Name
6UTM Easting, Universal Transverse MercatorUTM eastmRentschler, Tobias
7UTM Northing, Universal Transverse MercatorUTM northmRentschler, Tobias
8UTM Zone, Universal Transverse MercatorUTM ZoneRentschler, Tobias
9Increment numberInc#Rentschler, Tobiassample increment
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
3542 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML (shows only first 2000 rows)