cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/crc1211db.37
title: Genes database of Psectrascelis (Coleoptera: Tenebrionidae).

description: The database contains 90 taxa (3 outgroups and 87 ingroups) and a combined matrix of COI, 16S, and Wg genes (COI=1-1516; 16S=1517-1973; Wg=1974-2460) of Psectrascelis which was used for the phylogenetic analyses in the paper "The colonization of the Puna and Atacama Biogeographic Province by sister clades of Psectrascelis (Coleoptera: Tenebrionidae): Synchronous expansion without spatial overlap" published in the Journal of Biogeography.
DOI: 10.5880/crc1211db.61
title: Supplementary Data - Shaping the Huara Intrusive Complex in the hyperarid Atacama Desert – Erosional near-stasis contrasting high topographic gradients

description: Supplementary Dataset to Ritter et al. - Shaping the Huara Intrusive Complex in the hyperarid Atacama Desert – Erosional near-stasis contrasting high topographic gradients
DOI: 10.1594/gfz.tr32.1
title: Land use classification of 2009 for the Rur catchment

description: This data set contains the land use classification of 2009 for the study area of the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation", which is the catchment of the river Rur. The study area is mainly situated in the western part of North Rhine-Westphalia (Germany) and parts of the Netherlands and Belgium, covering an area of approximately 2365 square kilometres. The land use classification is derived from a supervised, multi temporal remote sensing data analysis using "Advanced Spaceborne Thermal Emission and Reflection Radiometer" (ASTER) and RapidEye data. ASTER is a multispectral satellite sensor, which has three bands in the visible and near infrared (VNIR) with 15 m spatial resolution, six bands in the shortwave infrared (SWIR) with 30 m, and five bands in the thermal infrared (TIR) with 90 m. For the land use classification the VNIR data acquired on July 27, 2009 were used. Each sensor of the RapidEye earth observation satellite system has five multispectral bands in the visible to near infrared wavelength region with a spatial resolution of 6.5 m. The incorporated data set was acquired on May 24, 2009. To enhance the information content of the land use data the Multi-Data Approach was used to combine the remote sensing data with additional data sets like the "Authorative Topographic-Cartographic Information System" (ATKIS Basic-DLM). The classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m; projection: WGS84, UTM Zone 32N.
DOI: 10.5880/tr32db.12
title: Enhanced land use classification 2014 of the Rur catchment

description: This data set contains the land use classification of
      2014 for the study area of the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere
      Systems: monitoring, modelling and data assimilation", which corresponds to the catchment of
      the river Rur. The study area is mainly situated in the western part of North Rhine-Westphalia
      (Germany) and parts of the Netherlands and Belgium. The classification is provided in GeoTIFF
      and in ASCII format. Spatial resolution: 15 m; Projection: WGS84, UTM Zone 32N.
DOI: 10.15468/dl.jf8qtg
title: Occurrence Download

description: A dataset containing 952 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.8.1_1",
 "Year 2012-2022"
 ]
}

 The dataset includes 952 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003851-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/crc1211db.62
title: Transient Electromagnetic Data of the Aurus Clay Pan, Namibia

description: This dataset contains transient data from a transient electromagnet field survey to the Aurus clay pan in the Sperrgebiet in the southern Namib Desert, Namibia. Using this data resistivity models of the subsurface can be calculated and the geometry and sedimentary thickness of the clay pan can be imaged. Measurements were carried out along two profiles using the TEM-FAST 48. The coincident loop setup was used with a loop size of (50 x 50) m^2. The transient data is provided in ASCII-format. All coordinates can be found in the kmz-file. Additionally, two figures are provided that show 1D inversion results of each profile.
DOI: 10.13140/rg.2.2.28039.05289
title: Relation between the Quadratic Means of Possible Subsets of a Set of Numbers and the Quadratic Mean of the Original
DOI: 10.15468/dl.n7uj5q
title: Occurrence Download

description: A dataset containing 3752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28.8_1",
 "Year 2012-2022"
 ]
}

 The dataset includes 3752 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003852-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/crc1211db.20
title: WRF Output daily accumulated total precipitation 10km resolution Atacama

description: This file contains simulated daily accumulated total precipitation (convective + non-convective) from the Regional Climate Model WRF for the Atacama Desert. The horizontal resolution is 10km, output is stored for yearly time frames as NETCDF, given time is the end of the accumulation period in UTC. A double one-way nesting has been performed using ERA-Interim as boundary conditions.
DOI: 10.15468/dl.f5whku
title: Occurrence Download

description: A dataset containing 5243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28.5_1",
 "Year 2012-2022"
 ]
}

 The dataset includes 5243 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003853-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbqur7
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28.6_1",
 "Year 2012-2022"
 ]
}

 The dataset includes 128 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003854-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qv8a4
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Steninae MacLeay, 1825 (Coleoptera: Staphylinidae) of Iran: identification key, checklist of species and a new synonymy"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003855-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/crc1211db.57
title: Supplementary data of the manuscript entitled Phylogenomics of darkling beetles (Coleoptera: Tenebrionidae) from the Atacama Desert

description: The file contains the transcriptome dataset used in the study Phylogenomics of darkling beetles (Coleoptera: Tenebrionidae) from the Atacama Desert. Directory including: Supplemental Data S1 (Data_S1). Dataset used for ML and BI analyses comprising 34 peptide precursors from 83 genera of Tenebrionidae (47 tribes, seven subfamilies), including the 30 genera from the Atacama Desert. Files: - Neuropeptide precursors matrix for ML analysis (DataS1_NP_Matrix_for_ML: amino acids in PHYLIP format). - Neuropeptide precursors matrix for BI analysis, including partitions and evolutionary models for each partition from ModelFinder (DataS1_NP_Matrix_for_BI: amino acids in NEXUS format). - Partition schemes of Neuropeptide precursors matrix for ML analysis /DataS1_ML_NP_Partition_schemes). Supplemental Data S2 (Data_S1). Dataset used for ML analysis comprising 1742 orthogroups from 83 genera of Tenebrionidae (47 tribes, seven subfamilies), including the 30 genera from the Atacama Desert. - 1742 orthogroups matrix for ML analysis (DataS2_1742_OG_ML: amino acids in PHYLIP format). - Partition schemes of 1742 orthogroups matrix for ML analysis (DataS2_1742_OG_ML_partitions_scheme)
DOI: 10.5880/crc1211db.55
title: Grain size distributions and parameters of soils along a chronosequence at the coastal alluvial fan Paposo, Atacama Desert

description: This dataset contains proportions of grain size classes, the median grain size, and the differential grain size distribution for the size fraction 40–311 nm of 32 soil samples sieved to &lt;2 mm from 16 shallow soil profiles, which were sampled in two depth intervals (0–15 and 15–30 cm). Constituting a soil chronosequence at the south-central coast of the Atacama Desert, four shallow soil profiles were sampled from each of the four morphostratigraphic units of the coastal alluvial fan Paposo (25.03°S/70.47°W). Particle size measurements were conducted using laser diffraction analysis. Results are stored in a .csv table.
DOI: 10.5880/crc1211db.56
title: Soil physicochemical parameters along a chronosequence at the coastal alluvial fan Paposo, Atacama Desert

description: This dataset summarizes the following physicochemical parameters assessed for 32 soil samples sieved to &lt;2 mm from 16 shallow soil profiles, which were sampled in two depth intervals (0–15 and 15–30 cm): CIELAB soil colour, spectrophotometric redness index, electrical conductivity, soil pH, contents of organic carbon, organic phosphorus and total phosphorus, proportion of organic phosphorus in total phosphorus, calcium carbonate content, geochemical proxies for (de)calcification and (de)salinization, and contents of total and poorly crystalline pedogenic iron oxides. Constituting a soil chronosequence at the south-central coast of the Atacama Desert, four shallow soil profiles were sampled from each of the four morphostratigraphic units of the coastal alluvial fan Paposo (25.03°S/70.47°W). Results are stored in a .csv table.
DOI: 10.5880/tr32db.39
title: A comprehensive dataset of vegetation states, fluxes of matter and energy, weather, agricultural management, and soil properties from intensively monitored crop sites in Western Germany

description: A collection of field data from four agricultural sites in the Rur catchment in Western Germany collected in the frame of the Transregional Collaborative Research Centre 32 “Patterns in Soil-Vegetation-Atmosphere-Systems: Monitoring, Modelling and Data Assimilation” (TR32). The dataset includes data on vegetation (states and fluxes), weather, soil, and agricultural management. Vegetation-related data comprises fresh and dry biomass (green and brown, predominantly per organ), plant height, green and brown leaf area index, phenological development state, nitrogen and carbon content, and carbon-, energy- and water-fluxes for a variety of agricultural plants. In addition, masses of harvest residues and regrowth of vegetation after harvest or before planting of the main crop are included. Data on agricultural management includes sowing and harvest dates, and information on cultivation, fertilization and agrochemicals. The dataset also includes gap-filled weather data and soil parameters (particle size distributions, carbon and nitrogen contents). This data can be useful for development and validation of remote sensing products. A detailed description of the dataset can be found in Reichenau et al. (2020).
DOI: 10.5880/tr32db.40
title: High resolution hydrological simulations over Bonn Radar Domain

description: The hydrological component of Terrestrial Systems Modeling Platform was used to conduct decadal scale simulations over the Bonn Radar domain. The model domain encompasses the entire extent of the Bonn X-band Polarimetric Radar (BoXPol). The model has also been extensively validated with observed surface energy fluxes, stream discharge and groundwater table depths over the region. This data repository includes the data generated for model runs, including model outputs and analysis.
DOI: 10.5880/tr32db.38
title: Land use classification of 2018 for the Rur catchment

description: This data set contains the land use classification of 2018 for the study area of the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation", which corresponds to the catchment of the river Rur. The study area is mainly situated in the western part of North Rhine-Westphalia (Germany) and parts of the Netherlands and Belgium. The classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m; projection: WGS84, UTM Zone 32N.
DOI: 10.15468/dl.jffwj5
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Rediscovering the mosquito fauna (Diptera: Culicidae) of Estonia: an annotated checklist with distribution maps and DNA evidence"
 ]
}

 The dataset includes 84 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003856-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/trr228db.17
title: Dataset on effects of conservation with wildlife and agriculture on plant lignin and n-alkanes components in soils

description: 1. Nature conservation is fostered through the expansion of protected areas. This is particularly evident in Sub-Saharan Africa (SSA), where conservation is intended to simultaneously promote the recovery of megafauna like elephants. Rising numbers of megaherbivores induce woody biomass losses but restore soil organic carbon (SOC). We hypothesized that increases of SOC under conservation with wildlife in SSA go directly along with increases in the preservation of plant residues in soil organic matter (SOM), traceable by plant biomarkers such as lignin and n-alkane. In contrast, intensification with agriculture leads to a reduction of them. To test this, we sampled topsoil (0-10 cm) and corresponding plant samples along different intensities of conservation and intensification in the Zambezi Region of Namibia, comprising a) conservation sites with low, medium and high elephant densities and b) adjacent intensification sites with rangeland and cropland. We found that lignin and n-alkane patterns of the above-ground vegetation were preserved in the soil. Confirming our hypothesis, increasing SOC contents with rising elephant densities went along with increasing accumulation of lignin-derived phenols. Under conservation, lignin concentrations were influenced by the input of woody debris into the soil, traced by carbon isotopes, clay, and total woody biomass. This could not be proved for n-alkanes. Under intensification, lignin derived phenols were lower than under conservation, but again, there was no clear pattern for n-alkanes. We showed that conservation with wildlife leads to an increase of SOC, which was accompanied by an accumulation of lignin-derived phenols in the soil organic matter. Increased input of woody debris, clay content and total biomass were important parameters for this lignin accumulation. In contrast, intensification with agriculture leads to a loss of lignin. Contrary, n- alkanes were not sensitive to detect effects of conservation or intensification. We conclude that increasing incorporation of woody residues into soil is a key mechanism controlling SOC accrual and to offset losses of aboveground biomass on SOC in sites under conservation with wildlife. The dataset contains raw data of lignin and n-alkanes and related soil properties. A third sheet contains a legend with information on abbreviations.
DOI: 10.5880/trr228db.4
title: Dataset on conservation with elevated elephant densities sequesters carbon in soils despite losses of woody biomass

description: Nature conservation and restoration in terrestrial ecosystems is often focused on increasing the numbers of megafauna, expecting them to have positive impacts on ecological self-regulation processes and biodiversity. In sub-Saharan Africa, conservation efforts also aspire to protect and enhance biodiversity with particular focus on elephants. However, elephant browsing carries the risk of woody biomass losses. In this context, little is known about how increasing elephant numbers affects carbon stocks in soils, including the subsoils. We hypothesized that (1) increasing numbers of elephants reduce tree biomass, and thus the amount of C stored therein, resulting (2) in a loss of soil organic carbon (SOC). If true, a negative carbon footprint could limit the sustainability of elephant conservation from a global carbon perspective. To test these hypotheses, we selected plots of low, medium, and high elephant densities in two national parks and adjacent conservancies in the Namibian component of the Kavango Zambezi Transfrontier Area (KAZA), and quantified carbon storage in both woody vegetation and soils (1 m). Analyses were supplemented by the assessment of soil carbon isotopic composition. We found that increasing elephant densities resulted in a loss of tree carbon storage by 6.4 t ha−1. However, and in contrast to our second hypothesis, SOC stocks increased by 4.7 t ha−1 with increasing elephant densities. These higher SOC stocks were mainly found in the topsoil (0–30 cm) and were largely due to the formation of SOC from woody biomass. A second carbon input source into the soils was megaherbivore dung, which contributed with 0.02–0.323 t C ha−1 year−1 to ecosystem carbon storage in the low and high elephant density plots, respectively. Consequently, increasing elephant density does not necessarily lead to a negative C footprint, as soil carbon sequestration and transient C storage in dung almost compensate for losses in tree biomass.The dataset contains the raw data of soil analyses up to 1 m soil depth and vegetation data on plot level. A third sheet of the excelfile contains necessary information about abbreviations used within the dataset.
DOI: 10.5880/crc1211db.54
title: Boundary layer classification from remote sensing at Iquique, March 2018 - March 2019

description: Classification of the state of the atmospheric boundary layer at Diego Aracena Aitport, Iquique, Chile. Profiles of vertical and horizontal wind speed and backscatter coefficient (measured with a Doppler Wind Lidar) as well as thermal stratification at the surface (Thermo-Hygrometers at ~1m and ~2m height) are used to identify height regions without and with turbulence, clouds and precipitation . In a second step the sources of this turbulence are identified (clouds, surface heating or wind shear). For details of the method see Manninen, A., T. Marke, E. O'Connor, and M. Tuononen, 2018: Atmospheric boundary layer classification with Doppler lidar, J. Geophys. Res. , 123, DOI:10.1029/2017JD028169. For daily plots see: http://tiny.cc/iqq_cn_bl_class
DOI: 10.5880/crc1211db.53
title: Wind profiles March 2018 - March 2019 from remote sensing at Iquique

description: Wind profiles from March 2018 - MArch 2019 from Doppler Wind Lidar installed at Iquique airport.Wind speed and direction were derived from the VAD-24 scans performed every 15minutes. Error estimates (variables delta_* in the netcdf files) are based on turbulence from vertical stare measurements.
DOI: 10.5880/crc1211db.52
title: Liquid water path (LWP TH95) March 2018 - March 219 at Iquique

description: Liquid water path above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 95% for cloud formation.
DOI: 10.5880/crc1211db.51
title: Liquid water path (LWP TH90) March 2018 - March 219 at Iquique

description: Liquid water path above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 90% for cloud formation.
DOI: 10.5880/crc1211db.49
title: Liquid water path (LWP TH80) March 2018 - March 219 at Iquique

description: Liquid water path above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 80% for cloud formation.
DOI: 10.5880/crc1211db.50
title: Liquid water path (LWP TH85) March 2018 - March 219 at Iquique

description: Liquid water path above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 85% for cloud formation.
DOI: 10.5880/crc1211db.48
title: integrated water vapor (IWV TH95) March 2018 - March 219 at Iquique

description: Integrated water vapor above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 95% for cloud formation.
DOI: 10.5880/crc1211db.47
title: Integrated water vapor (IWV TH90) March 2018 - March 219 at Iquique

description: Integrated water vapor above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 90% for cloud formation.
DOI: 10.5880/crc1211db.46
title: Temperature profiles March 2018 - March 219 from remote sensing at Iquique

description: Temperature profiles at Iquique airport from March 2018 to March 2019 measured with Microwave radiometer Hatpro-FOGHAT. Profiles cover heights from 0-10km with resolution from 50m(surface) to 500m(10km) and are provided every 15min. Profiles are retrieved from 'boundary layer scans' consisting of measurements at ten elevations between 90° and 4.2°. Even time indices are from scans at an azimuth of 70° towards land, odd indices are from an azimuth of 250° towards the ocean with both scans having the same time stamp. 'Land scans' (even indices) are biased as the four lowest elevations touched the cliff and should not be used.
DOI: 10.5880/crc1211db.44
title: Integrated water vapor (IWV TH80) March 2018 - March 219 at Iquique

description: Integrated water vapor above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 80% for cloud formation.
DOI: 10.5880/crc1211db.45
title: Meteorological Data March 2018 - March 219 from Iquique

description: Data from Meteoorological station (WXT530, Vaisala) on Microwave radiometer Hatpro-FOGHAT during deployment at Iquique airport March 2018 - March 2019.
DOI: 10.5880/crc1211db.43
title: Integrated water vapor (IWV TH85) March 2018 - March 219 at Iquique

description: Integrated water vapor above Iquique airport from March 2018 to March 2019 measured with Microwave radiometer HATPRO-FOGHAT. Retrieval is based on 20 Years of Radiosonde Data from Antofagasta. Radiosonde data has been preprocessed with a relative humidity threshold of 85% for cloud formation.