cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5880/trr228db.38
title: Soils, woody plants and farm-household wealth: Context-specific links in Southern Africa

description: Smallholder farmers in Southern Africa cope with low soil fertility and challenging field maintenance. We analysed links between household wealth, cropland soil quality, and field management (fertilization, field clearing) in Zambia and Namibia. We hypothesised that wealthier farmers cultivate higher-quality land because of preferential access, greater resources, and better field management. This pattern holds only partly. In Zambia, homogeneity of inherent soil properties limits disparities in land distribution and soil quality across wealth classes. Higher yields among wealthier farmers were primarily attributable to soil fertility management rather than differences in inherent soil quality. In Namibia, natural soil heterogeneity contributed to unequal land distribution, with wealthier households farming inherently better soils with higher clay, silt, and organic carbon contents. However, these households invested less in field management; thus, higher soil fertility did not result in higher yields. Among wealthy households, off-farm income appears to decouple agricultural productivity from land quality and management.
DOI: 10.5880/trr228db.35
title: Data on Carbon Storage in Vegetation and Soils and Environmental Predictors of Savanna Carbon Storage
title: Supplementary data to Kindermann et al. (2025) Natural and human disturbances have non-linear effects on whole-ecosystem carbon storage in an African savanna. Global Change Biology, DOI: https://doi.org/10.1111/gcb.70163

description: This file contains data on carbon storage in woody vegetation and soils, as well as predictors used for modelling carbon storage.
This data is made available as an addendum to the following publication:
<br>L. Kindermann, A. Sandhage-Hofmann, W. Amelung, J. Börner, M. Dobler, E. Fabiano, M. Meyer, A. Linstädter (2025) Natural and human disturbances have non-linear effects on whole-ecosystem carbon storage in an African savanna; Global Change Biology, 31: e70163. https://doi.org/10.1111/gcb.70163.<br>

Data contained in this file was collected under project "A01: Future Carbon Storage" within collaborative research centre "CRC Future Rural Africa".<br>

Research and data collection were funded by German Research Foundation (DFG) under funding codes CRC TRR-228/1 and CRC TRR-228/2.<br>

Permission for research has been granted by the Namibian National Commission on Research Science and Technology (NCRST), permit number RPIV00362018.
description: This file contains two data sheets: 
&039;Info&039; sheet contains general information on the dataset, as well as units of measurement and descriptions for all variables and columns of the data.
&039;df&039; contains the actual data.
For units and explanations see &039;Info&039; sheet; skip top 6 lines of &039;df&039; for reading raw data as those first lines contain meta information on where each variable was used within original publication: Kindermann et al. (2025) Natural and human disturbances have non-linear effects on whole-ecosystem carbon storage in an African savanna. Global Change Biology, Vol31/4; e70163; https://doi.org/10.1111/gcb.70163.
DOI: 10.14470/8w227429
title: Deep OCean Test ARray DOCTAR (OBS part)

description: This is the first deployment of a teleseismic broadband array consisting of 12 three-component stations with an aperture of about 50 km in the deep ocean in about 5000 m water depth. The data can be compared with two other deployments on Madeira and in western Portugal mainland which had similar array layouts and recording time spans (network Y7). The broadband data enable furthermore analysis of the crust and upper mantle beneath the array near to the Gloria fault, a major transform fault in the North Atlantic. Recordings of numerous local and regional earthquakes make a precise location of active structures possible. Waveform data is available from the GEOFON data centre, under network code 3J.
DOI: 10.14470/6q705117
title: Longterm monitoring of swarm earthquakes in the western Eger rift

description: The Bohemian Massif (500-250 Ma), the easternmost part of the Variscan orogenic belt, is one of the largest stable outcrops of pre-Permian rocks in Central and Western Europe. This region has persistent geodynamic activity that is clearly linked to upper mantle, and offers a globally unique location for studying intra-continental earthquake swarm (ES) seismicity in combination with deep crust and mantle degassing as well as their interaction with the deep biosphere. The main questions regarding seismicity, microbial life and origin, and heat flow are all linked by the common questions of fluid flow, pathways, and composition. The ICDP project 'Drilling the Eger Rift' aims to develop the most modern, comprehensive laboratory at depth worldwide for the study of ES, crustal fluid flow, mantle-derived CO2 and He degassing, and processes of the deep biosphere. In order to reach a new level of high-frequency, near source, and multi-parameter observation of ES and related phenomena, such a laboratory will comprise of a high-frequency 3D seismic array with a set of four shallow boreholes, combined with modern continuous real-time fluid monitoring at depth (the shallow boreholes) and the study of deep biosphere. Waveform data is available from the GEOFON data centre, under network code 1D.
DOI: 10.14470/rr425351
title: Estonian National Seismic Network (EESN)

description: The Geological Survey of Estonia (EGT) maintains the Estonian National Seismic Network (EESN) under the network code EE. EGT is responsible of seismic monitoring of Estonia as a part of the national environmental monitoring program. Routine seismic analysis is performed in integrated co-operation with the Institute of Seismology, University of Helsinki (ISUH), and detected events are published in ISUH bulletins. The network dates back from 1980 and digital data exist from 1996 on. Initially, only one to three stations were operational. From 2015 on, the network has been expanded using temporary stations. By 2025, eight permanent and two temporary EE stations operate in real time. VSU is a joint station with GEOFON, labelled both as a GE and an EE station. Three older Estonian stations are equipped with Streckeisen STS-2 and Güralp CMG-6T seismometers. Newer sites have Nanometrics Trillium Compact sensors. Data acquisition systems are a combination of Earth Data digitizers and PC with Seiscomp software or Nanometrics Centaurs. Data sampling frequencies are 100 Hz or 250 Hz. Waveform data under network code EE are available from the GEOFON data centre and are fully open.
DOI: 10.1594/gfz.isdc.gps-pdr/gps-og-3-fso
title: Final Science GPS Orbits

description: Final GPS Satellite Orbits after Reprocessing (homogenesouly reprocessed withBernese GPS Software by TU Munich and TU Dresden).
DOI: 10.15468/dl.vx46yy
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is New records of bat flies (Diptera: Nycteribiidae), with an updated checklist of the nycteribiids of Russia"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003846-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/trr228db.33
title: Collaborative Research Centre 228 B01: Invasive Futures. Household social and economic survey on aspirations, invasive futures, and gender: The social ecology of system shifts in savanna environments (Phase II-2023)

description: These datasets comprise information from 536 households in Baringo County, Kenya, collected through a tablet-based survey conducted between August and September 2023. The study revisited households surveyed in 2019 during the first wave of the project. The initial survey used a two-step sampling approach: village sampling across three wards (Marigat, Ilchamus, and Mochongoi) in Marigat sub-county, with 35 villages selected randomly using the probability proportional to size (PPS) method. Sampling was based on enumeration areas (villages) from the 2009 Kenya National Population and Housing Census, facilitated by the Kenya National Bureau of Statistics. In the second step, 14 to 17 households were randomly selected from each village using updated village-level household lists, totaling 530 households. The 2023 survey involved face-to-face interviews with household heads and/or their spouses using a structured questionnaire. Topics covered included socio-economic and institutional characteristics, assets, land use, aspirations, social networks, invasive species, shocks and coping strategies, and income and expenditure. Certain sections of the survey were administered to both the household head and their spouse (e.g., husband and wife). Additionally, a randomized controlled trial (RCT) was conducted as part of the study. The RCT featured a collective action video intervention as the primary treatment, with a real public goods game (PGG) experiment serving as one of the outcome measures. The RCT evaluates the effectiveness of a video-based social influence intervention, featuring role model villages, on enhancing cooperation. The data collection process was carried out by a team of 11 trained local enumerators. The datasets are available in both CSV and STATA (.dta) formats. Supporting documentation, including the questionnaire, a data dictionary, and a detailed codebook, is provided to facilitate data understanding and use.
DOI: 10.14470/ts373432
title: Geophysical borehole Observatory at the North Anatolian Fault (GONAF)

description: GONAF (Geophysical borehole Observatory at the North Anatolian Fault) is a joint research venture between GFZ Helmholtz Centre for Geosciences (GFZ) and the Turkish Disaster and Emergency Presidency (AFAD) in Ankara. It is co-funded by GFZ, AFAD, the Turkish Ministry of Development, the International Scientific Drilling Program (ICDP), and the German Helmholtz Association (HGF). The aim of this project is to monitor earthquake activity at low magnitude-detection threshold in the Istanbul / eastern Sea of Marmara region where a major (M&gt;7) earthquake is pending. Waveform data is available from the GEOFON data centre, under network code GF.
DOI: 10.5880/tr32db.2
title: Enhanced Land Use Classification of 2009 for the Rur catchment

description: This data set contains the enhanced 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
      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
      land use classification is derived from supervised, multi temporal remote sensing data
      analysis using "Advanced Spaceborne Thermal Emission and Reflection
      Radiometer" (ASTER) and RapidEye. For the land use analysis datasets and of the
      following acquisition dates were used from RapidEye: May 24, June 01, August 15/16, August 31
      and September 08. From ASTER a dataset of July 27 was incorporated. Full coverage of the study
      area was not available for all acquisition dates. To enhance the information content of the
      land use data product the Multi-Data Approach (MDA) was used to combine the remote sensing
      derived land use information with additional data sets like the ‘Authorative
      Topographic-Cartographic Information System’ (ATKIS Basic-DLM, AAA schema) and ‘Physical
      Block’ information. The classification is provided in GeoTIFF and in ASCII format. Spatial
      resolution: 15 m; projection: WGS84, UTM Zone 32N.
DOI: 10.5880/tr32db.19
title: Enhanced land use classification of 2015 for the Rur catchment - Update.

description: This data set contains the final land use classification
      of 2015 - update 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: 10.5880/crc1211db.36
title: Isotopic and ion concentration data of ponds and pan evaporation experiments conducted at the Salar del Huasco

description: This dataset comprises results of ion concentration (ICP-OES) and isotopic analyses (d17O,d18O, d2H, 17O-excess, d-excess) of water samples from ponds and lakes taken at the Salar del Huasco between 09/2017 and 03/2019, as well as isotopic data of pan evaporation experiments carried out on-site.
DOI: 10.5880/gfz.1.1.2024.003
title: GFZ GNSS-derived precipitable water vapor for climate reference network GRUAN

description: The Global Climate Observing System (GCOS) Reference Upper Air Network (GRUAN, https://www.gruan.org/ ) of the World Meteorological Organization (WMO) is an international observing network, designed to meet climate requirements. Upper air observations within the GRUAN network will provide long-term high-quality climate records. A GNSS receiver is part of the GRUAN station equipment with highest priority for measuring of atmospheric water vapor. 
 
GRUAN observations are intended to provide long-term high-quality data for the reliable determination of climatological trends and to provide further insight into atmospheric processes. Precise GNSS data analysis is a key to reach data quality on the highest level. Due to its long-term experience in GNSS data processing, GFZ was selected as a Central GRUAN GNSS Data Processing Centre. 
 
This data publicatoion includes the GRUAN Data Product (GDP) of GFZ: GNSS Precipitable Water (PW).
description: GFZ GRUAN Processing Centre generates Precipitable Water (PW) products for GNSS sites of the GRUAN network using the latest development version of the EPOS.P8 Software. 
 
The solution series contains: 
Precipitable Water (PW), converted from the Zenith Total Delays (ZTD) 
Folder sinex_trop_GRUAN_EPOS8 with subfolders for GPS weeks (e.g., w2348): daily files for each processed GNSS site. 
 
Files: 
 IIIIWWWWD.tro: files with Zenith Total Delays, Precipitable Water (also called Integrated Water Vapor), tropospheric gradients; 
 IIIIWWWWD.zpd: files with Zenith Total Delays and tropospheric gradients; 
 
where 
IIII - GNSS site name, 
WWWW - GPS week, 
D - day of the week; 
 
Data format: SINEX_TRO: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5030246 
The processing with EPOS.P8 is described in detail in Wang et al. (2019).
DOI: 10.14470/7q7563484600
title: DESTRESS - Demonstration of soft stimulation treatments of geothermal reservoirs

description: DESTRESS is a Horizon-2020 supported project (Topic: Demonstration of renewable electricity and heating/cooling technologies) that is concerned with creating EGS (enhanced geothermal systems) for the more economical, sustainable and environmentally responsible exploitation of underground heat. The international consortium, representing academic, geothermal sites and industry, will utilize the latest developments in the use of hydraulic, chemical and thermal treatments for enhancing the productivity of geothermal reservoirs, with considerable interaction with various interests groups and the thorough assessment of the associated risk, in particular that associated with induced seismicity. The GFZ workgroup "Early warning and Impact Forecasting" is involved in the exposure modelling, vulnerability analysis and building monitoring of communities near geothermal production facilities, making use of tools developed both in previous and ongoing projects. Waveform data are available from the GEOFON data centre, under network code 2D.
DOI: 10.15468/dl.u4p3ba
title: Occurrence Download

description: A dataset listing the 1020 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Ethiopia",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 1020 records were derived from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003844-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5880/trr228db.22
title: Historical road network of Kenya (1950s – 1980s) extracted from topographic maps (Version 1.1)

description: This dataset includes a shapefile representing the digitized historical road network of Kenya. It contains over 56,000 km of historical roads extracted from 449 historical topographic maps of 1:50,000 scale and 71 maps of 1:100,000 scale covering the time period from the 1950s to the 1980s. The topographic maps were obtained from various sources in Kenya and the UK. Most of maps were collected in Kenya provided by the Survey of Kenya and several local county governments’ survey and urban planning departments. Additionally, some maps were obtained from archives in Great Britain, namely the Bodleian Library of the University of Oxford and the Cambridge University Library. All the acquired maps were originally created and published by the Directorate of Overseas Surveys (DOS), the War Office, General Staff, Geographical Section and the Survey of Kenya. The road data was extracted from these maps using deep learning techniques, including a Python script and ArcGIS Pro “Multi-Task Road Extractor” tool.
DOI: 10.5880/trr228db.29
title: Data: Anthropogenic Disturbances Superimpose Climate Effects on Soil Organic Carbon in Savanna Woodlands of sub-Saharan Africa

description: Data for Manuscript: 

Savanna ecosystems in sub-Saharan Africa (SSA) harbor substantial yet relatively unexplored reserves of soil organic carbon (SOC). Our study unravels for the first time the interplay between climate, reference soil groups (RSGs), and anthropogenic disturbances in shaping SOC dynamics in these ecosystems. We analyzed SOC along climosequences in natural woodlands in Mozambique and Zambia, with mean annual temperature (MAT; 20-24°C) and precipitation (MAP; 365-1227 mm). Anthropogenic disturbances were assessed through comprehensive field surveys and remote sensing of vegetation and indices changes. MAT and evapotranspiration (PET) had no discernible effect on SOC. Bulk SOC, particulate organic matter (POM), and mineral-associated organic matter (MAOM) stocks in the topsoil (0-10 cm) increased with MAP, though this relationship was not significant for subsoil. MAP explained only 35% of topsoil SOC variability, limited by anthropogenic disturbances, which raised SOC stocks in the dry savanna but resulted in SOC losses at &gt; 600 mm MAP, and extended into subsoil. For sites with little disturbance, in the past decades, there were RSG-specific effects of MAP on SOC, explaining up to 85% of data variability. In disturbed sites, human presence altered the C balance to an extent that, as a rough estimate, could account for up to 2.6 Gt CO2-C loss over 20 years in wetter sites, with another 2.4 Gt CO2-C at risk as populations spread into these otherwise pristine environments. Accurate modelling of climate-change effects on the C cycle must, therefore, include the transformative impacts of current human activities, such as wood harvesting and grazing
DOI: 10.15468/dl.zkwbnf
title: Occurrence Download

description: A dataset containing 17347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.31.2_1",
 "Year 2012-2022"
 ]
}

 The dataset includes 17347 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003847-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzgkdn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrullus colocynthis",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049274-250811113504898/datasets/export for details.
DOI: 10.15468/dl.g3tf7b
title: Occurrence Download

description: A dataset containing 125304539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 125304539 records from 2841 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010579-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nneur4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.578 4.112164, 98.50755700000001 4.106594, 98.438852 4.090022, 98.37357799999999 4.062857, 98.313345 4.025768, 98.259637 3.97967, 98.213776 3.9257, 98.176892 3.865187, 98.149891 3.799623, 98.133437 3.730623, 98.127931 3.659887, 98.133506 3.589156, 98.150024 3.520172, 98.177075 3.454632, 98.21399099999999 3.39415, 98.259862 3.340214, 98.31356 3.294151, 98.373761 3.257093, 98.438985 3.229952, 98.507627 3.213396, 98.578 3.207832, 98.64837300000001 3.213396, 98.717015 3.229952, 98.782239 3.257093, 98.84244 3.294151, 98.89613799999999 3.340214, 98.942009 3.39415, 98.978925 3.454632, 99.005976 3.520172, 99.02249399999999 3.589156, 99.028069 3.659887, 99.02256300000001 3.730623, 99.006109 3.799623, 98.979108 3.865187, 98.942224 3.9257, 98.89636299999999 3.97967, 98.84265499999999 4.025768, 98.782422 4.062857, 98.71714799999999 4.090022, 98.648443 4.106594, 98.578 4.112164))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003998-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccmrz2
title: Occurrence Download

description: A dataset containing 842 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Pterois volitans, Pterois miles)",
 "Year 1980-2026"
 ]
}

 The dataset includes 842 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003999-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14575954
title: ONCO-360 | DATASUS | INCA | CNES | SIOPS
DOI: 10.15468/dl.qcsyw4
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "TaxonKey is Zethus dolosus"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004000-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.