cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/tereno.256
title: TERENO (Northeast), Climate station Grosszetelvitz, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Grosszetelvitz; 
Geographic latitude: 54.040108 N, Geographic longitude: 13.226967 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.270
title: TERENO (Northeast), Climate station Muessentin, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Muessentin; 
Geographic latitude: 53.914266 N, Geographic longitude: 13.312933 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.269
title: TERENO (Northeast), Climate station Muehlenkamp, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Muehlenkamp; 
Geographic latitude: 53.988919 N, Geographic longitude: 13.167381 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.265
title: TERENO (Northeast), Climate station Karlshof, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Karlshof; 
Geographic latitude: 53.921527 N, Geographic longitude: 13.081393 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.268
title: TERENO (Northeast), Climate station Leppin, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Leppin; 
Geographic latitude: 53.893407 N, Geographic longitude: 13.165855 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.274
title: TERENO (Northeast), Climate station Sanzkow, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Sanzkow; 
Geographic latitude: 53.88105 N, Geographic longitude: 13.124363 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.267
title: TERENO (Northeast), Climate station Kuntzow, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Kuntzow; 
Geographic latitude: 53.96053 N, Geographic longitude: 13.327784 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.15468/dl.n4zew2
title: Occurrence Download

description: A dataset containing 1668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 49.085278",
 "DecimalLatitude is less than or equal to 54.085278",
 "DecimalLongitude is greater than or equal to 175.0",
 "DecimalLongitude is less than or equal to 180.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 1668 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051429-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/tereno.291
title: TERENO (Northeast), Climate station Grosszastrow, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Grosszastrow; 
Geographic latitude: 54.017045 N, Geographic longitude: 13.27331 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.290
title: TERENO (Northeast), Climate station Heydenhof, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Heydenhof; 
Geographic latitude: 53.868271 N, Geographic longitude: 13.268649 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.273
title: TERENO (Northeast), Climate station Rustow, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Rustow; 
Geographic latitude: 53.958126 N, Geographic longitude: 13.078658 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.271
title: TERENO (Northeast), Climate station Nielitz, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Nielitz; 
Geographic latitude: 54.023511 N, Geographic longitude: 13.090258 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.282
title: TERENO (Northeast), Climate station Zeitlow, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Zeitlow; 
Geographic latitude: 53.951361 N, Geographic longitude: 13.12222 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.305
title: TERENO (Northeast), Climate station Voelschow, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Voelschow; 
Geographic latitude: 53.871286 N, Geographic longitude: 13.345993 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.272
title: TERENO (Northeast), Climate station Passow, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Passow; 
Geographic latitude: 53.994773 N, Geographic longitude: 13.234334 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.275
title: TERENO (Northeast), Climate station Sassen, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Sassen; 
Geographic latitude: 54.015598 N, Geographic longitude: 13.202466 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.277
title: TERENO (Northeast), Climate station Ueckeritz, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Ueckeritz; 
Geographic latitude: 53.921508 N, Geographic longitude: 13.193163 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.279
title: TERENO (Northeast), Climate station Zarnekla, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Zarnekla; 
Geographic latitude: 54.007412 N, Geographic longitude: 13.027998 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/tereno.281
title: TERENO (Northeast), Climate station Zarrenthin, Germany

description: TERENO Northeastern German Lowland Observatory. TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level: Climate station Zarrenthin; 
Geographic latitude: 53.942591 N, Geographic longitude: 13.285746 E; 
HostingInstitution: GFZ German Research Centre for Geosciences
DOI: 10.5880/geofon.gfz2015sfdd
title: GEOFON event gfz2015sfdd (Near Coast of Central Chile; Magnitude 8.2)

description: Earthquake, 2015-09-16 22:54:33, Near Coast of Central Chile
DOI: 10.5880/gfz.1.1.2016.001
title: Supplement to: Monitoring snow depth by GNSS reflectometry in built-up areas: A case study for Wettzell, Germany

description: We provide data of a case study from the GNSS station Wettzell, Germany (WTZR). This data set contains snow depth derived from GNSS data using reflectometry.  It covers a time period from July 1, 2012 to July 1, 2015 and gives the integral snow depth over an area of about 150 by 30 m. The data are daily averages based on daily measurements from 4 different satellites. The GNSS derived snow depth was validated by observations from ultrasonic sensors (US). The detailed description of the processing, the evaluation with US and the discussion of the results is described in Vey et al. (2016). The data are provided in ASCII format with four colums: 
      GNSS data (file Vey-et-al-2016-GNSS_2012_15.txt): 
(1) year (YEAR) (2) day of the year (DOY) (3) snow depth (SD cm) from GNSS (4) accuracy, root mean square error (RMSE cm)
Ultrasonic Sensor data (file Vey-et-al-2016-US_2012_15..txt): 
(1) year (YEAR) (2) day of the year (DOY) (3) SD_US_pillow (cm) snow depth from the US sensor located above snow pillow (4) SD_US_SPA(cm) snow depth from the US sensor located at the snow pack analyzer
DOI: 10.5880/pik.2016.002
title: Ice-shelf surface, basal and bedrock topography data for the second Ice Shelf-Ocean Model Intercomparison Project (ISOMIP+)

description: This data set includes four sets of ice-shelf topography data for use in the ISOMIP+ experiments described in Sec. 3 of Asay-Davis et al. (2015), to which this data set is supplementary material. The data set contains four NetCDF files, each of which includes six spatially two-dimensional fields: the ice upper surface, ice draft (ice sheet lower surface), bed topography, the fraction of open ocean, the fraction of floating ice and the fraction of grounded ice.
description: Methods: 
The topographic data was produced using subversion revision number r2825 of the BISICLES ice-sheet model (https://commons.lbl.gov/display/bisicles/BISICLES) configured to use the shallow shelf approximation (SSA, a commonly used approximation of the Stokes equation appropriate for ice shelves and fast flowing ice streams). The simulation used to produce the topography was the Ice1r followed by the Ice1ra experiment, as described in Sec. 2.2 of Asay-Davis et al. (2015). The bedrock topography for the experiment is described by an analytic function in Sec. 2.1 of Asay-Davis et al. (2015). In these experiments, BISICLES was first run to steady state without basal melting, then was allowed to retreat for 100 years forced by a basal melt parameterization (Ice1r) and finally was allowed to re-advance for 100 years with the melt parameterization turned off (Ice1ra).  
BISICLES makes use of adaptive mesh refinement (AMR) to focus resolution in fast flowing regions and near grounding lines.  In the simulations, resolution was allowed to vary from 4 km to 1 km, and the topographic snapshots have been interpolated to simple rectangular mesh with a constant resolution of 1 km.
description: List of datasets included in this data publication: 
Ocean1_input_geom_v1.01.nc: Topography data from the beginning of the Ice1r experiment, the topographic boundary conditions for the Ocean0 and Ocean1 experiments.
Ocean2_input_geom_v1.01.nc: Topography data from the end of the Ice1r experiment (year 100), the topographic boundary conditions for the Ocean2 experiment.
Ocean3_input_geom_v1.01.nc: 101 yearly snapshots of the topography data from the Ice1r experiment (years 0 to 100), the topographic boundary conditions for the Ocean3 experiment.
Ocean4_input_geom_v1.01.nc: 101 yearly snapshots of the topography data from the Ice1ra experiment (years 100 to 200), the topographic boundary conditions for the Ocean4 experiment.
inputs.spin: Configuration file for the initial BISICLES spinup to steady state without melting
inputs.melt: Configuration files for the Ice1r and Ice1ra evolution
shortshallow.py: Python script for computing the melt parameterization in the Ice1r and Ice1ra experiments.
addMasksToBisicles.py: Python script use to compute the floating, grounded and open ocean fractions based on the topography data and the assumption of exact flotation of the ice shelf.
DOI: 10.5880/gfz.5.3.2016.001
title: pmoA gene reference database (fasta-formatted sequences and taxonomy)

description: This data set is a part of result affiliated to our manuscript about pmoA gene (encoding the alpha subunit of the enzyme of particular methane monooxygenase). The taxonomy database consists of 7809 unaligned pmoA nucleotide sequences in fasta format and a corresponding taxonomy file, according the format specified by the software platforms of Mothur and QIIME. The taxonomy file is a two column text file where the first column is the accession number of the sequence and the second column is a string of taxonomic information separated by semicolons. We created a comprehensive taxonomy database for the pmoA nucleotide sequences which could be probed by the primer set combination of A189f and A682r. Sequences in this database were firstly retrieved from the NCBI database and progressively screened by Biopython or R scripts. The corresponding taxonomy was generally referred to the NCBI taxonomy if the explicit taxonomic ranks from phylum to species are available. For those with ambiguous taxonomies given by the NCBI database,  taxonomic classification was improved as possible by referring to the Dumont’s database (Frontier in Microbiology, 2014, 5: 34. doi: 10.3389/fmicb.2014.00034).
DOI: 10.34740/kaggle/dsv/14143385
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5880/tereno.2016.001
title: TERENO (Eifel-Rur), Climate/Runoff/Water Quality station Rollesbroich, Germany

description: TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level. 
The central monitoring site of the TERENO Eifel/Lower Rhine Valley Observatory is the catchment area of the River Rur. It covers a total area of 2354 km² and exhibits a distinct land use gradient: The lowland region in the northern part is characterised by urbanisation and intensive agriculture whereas the low mountain range in the southern part is sparsely populated and includes several drinking water reservoirs. Furthermore, the Eifel National Park is situated in the southern part of the Rur catchment serving as a reference site. Intensive test sites are placed along a transect across the Rur catchments in representative land cover, soil, and geologic settings. The Rollesbroich site is located in the low mountain range “Eifel” near the German-Belgium border and covers the area of the small Kieselbach catchment  (40 ha) with altitudes ranging from 474 to 518 m.a.s.l.. 
The climate is temperate maritime with a mean annual air temperature and precipitation of 7.7 °C and 1033 mm, respectively, for the period from 1981 to 2001. The study site is highly instrumented. All components of the water balance (e.g. precipitation, evapotranspiration, runoff, soil water content) are continuously monitored using state-of-the-art instrumentation, including weighable lysimeters, runoff gauges, cosmic-ray soil moisture sensors, a wireless sensor network that monitors soil temperature, and soil moisture at 189 locations in different depths (5, 20 and 50 cm) throughout the study site. Periodically also different chamber measurements were made to access soil or plant gas exchange.
Climate/Runoff/Water Quality station Rollesbroich:Runoff is measured at the catchment outlet using a gauging station equipped with a combination of a V-notch weir for low flow measurements and a Parshall flume to measure normal to high flows. Runoff data of the two weir types are combined by using V-notch values for water levels below 5 cm, Parshall flume values for water levels greater than 10 cm and the weighted mean of V-notch and Parshall flume values for water levels between 5 and 10 cm, where the water levels refer to those of the V-notch weir. Meteorological data, i.e. precipitation, air temperature, air humidity, radiation components, and wind speed, were recorded at 2 m height next to the runoff gauging station
As a first quality check, time series of both gauge types were compared for consistency. In addition, both runoff time series were visually inspected for inexplicable outliers (e.g. runoff peak without preceding rainfall event) and sensor failures. Unreliable data were identified by visual inspection and appropriate flags were set.
The observed parameters are listed in the keywords section. File format is NetCDF 4.0.
DOI: 10.5880/tereno.2016.002
title: TERENO (Eifel-Rur), EC/Climate station Rollesbroich 3, Germany

description: TERENO (TERrestrial ENvironmental Observatories) spans an Earth observation network across Germany that extends from the North German lowlands to the Bavarian Alps. This unique large-scale project aims to catalogue the longterm ecological, social and economic impact of global change at regional level. 
The central monitoring site of the TERENO Eifel/Lower Rhine Valley Observatory is the catchment area of the River Rur. It covers a total area of 2354 km² and exhibits a distinct land use gradient: The lowland region in the northern part is characterised by urbanisation and intensive agriculture whereas the low mountain range in the southern part is sparsely populated and includes several drinking water reservoirs. Furthermore, the Eifel National Park is situated in the southern part of the Rur catchment serving as a reference site. Intensive test sites are placed along a transect across the Rur catchments in representative land cover, soil, and geologic settings. The Rollesbroich site is located in the low mountain range “Eifel” near the German-Belgium border and covers the area of the small Kieselbach catchment  (40 ha) with altitudes ranging from 474 to 518 m.a.s.l.. 
The climate is temperate maritime with a mean annual air temperature and precipitation of 7.7 °C and 1033 mm, respectively, for the period from 1981 to 2001. The study site is highly instrumented. All components of the water balance (e.g. precipitation, evapotranspiration, runoff, soil water content) are continuously monitored using state-of-the-art instrumentation, including weighable lysimeters, runoff gauges, cosmic-ray soil moisture sensors, a wireless sensor network that monitors soil temperature, and soil moisture at 189 locations in different depths (5, 20 and 50 cm) throughout the study site. Periodically also different chamber measurements were made to access soil or plant gas exchange.
EC/Climate station Rollesbroich 3:Geographic latitude: 50.621799 N, Geographic longitude: 6.3027962 E;
Hosting Institution: Research Centre Juelich GmbH, IBG-3; Institute for Bio and Geoschiences; Agrosphere Institute (IBG-3)
The observed parameters are listed in the keywords section. The file format is NetCDF 4.0.
DOI: 10.15468/dl.gxdbbf
title: Occurrence Download

description: A dataset containing 306489 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Castor fiber",
 "HasCoordinate is true"
 ]
}

 The dataset includes 306489 records from 577 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051417-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cklkuq
title: Occurrence Download

description: A dataset containing 900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.22895 42.51718,-9.00897 42.51718,-9.00897 42.60507,-9.22895 42.60507,-9.22895 42.51718))",
 "HasCoordinate is true",
 "TaxonKey is Tracheophyta",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 900 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041477-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.