cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rgxgww
title: Occurrence Download

description: A dataset containing 8070 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "Geometry POLYGON((-12 20,60 20,60 75,-12 75,-12 20))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alnus cordata (Loisel.) Duby",
 "Year 1980-2024"
 ]
}

 The dataset includes 8070 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002729-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrqjze
title: Occurrence Download

description: A dataset containing 833 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Manis pentadactyla Linnaeus, 1758"
 ]
}

 The dataset includes 833 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002730-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3334/cdiac/otg.ndp088(v2009)
title: Global Ocean Surface Water Partial Pressure of CO2 Database: Measurements Performed During 1957-2009 (Version 2009).
DOI: 10.1594/pangaea.115858
title: Particle fluxes of trap NU2
DOI: 10.1594/pangaea.355331
title: Percentages of planktonic foraminifera species in sediment core RC09-49
DOI: 10.1594/pangaea.355340
title: Percentages of planktonic foraminifera species in sediment core V22-222
DOI: 10.1594/pangaea.355345
title: Percentages of planktonic foraminifera species in sediment core V25-75
DOI: 10.1594/pangaea.355347
title: Percentages of planktonic foraminifera species in sediment core V30-36
DOI: 10.1594/pangaea.355350
title: Percentages of planktonic foraminifera species in sediment core V30-49
DOI: 10.1594/pangaea.355351
title: Percentages of planktonic foraminifera species in sediment core V30-51
DOI: 10.1594/pangaea.355352
title: Percentages of planktonic foraminifera species in sediment core V32-8
DOI: 10.1594/pangaea.670819
title: Basic measurements of radiation at station Lerwick (2004-01)
DOI: 10.1594/pangaea.754444
title: Stable oxygen isotopes of ice core EDML

description: Version 2 - 2010-11-26 - replaces the dataset see other version- remeasurements, lost and found samples or means of hiRes measurements; in a few cases linear interpolated- substituted with data from EDML 3-core for 13-113 m and EDML main core 113-125 m, instead of interpolated B32 data- substituted with B34 data, instead of interpolated B32 data
DOI: 10.1594/pangaea.758380
title: Basic measurements of radiation at station Cabauw (2007-03)
DOI: 10.1594/pangaea.805251
title: Discharge rates for Samoylov Island Flood plain outlet
DOI: 10.1594/pangaea.805252
title: Discharge rates for Samoylov Island Lake outlet
DOI: 10.1594/pangaea.92842
title: Particle fluxes of NAP_trap
DOI: 10.1594/pangaea.92843
title: Particle fluxes of HAP-4_trap
DOI: 10.1594/wdcc/coastdat-2_cosmo-clm
title: coastDat-2 COSMO-CLM Atmospheric Reconstruction

description: Project: coastDat-2 - CoastDat-2 (http://www.coastdat.de/about_us/index.php) comprises a compilation of coastal analyses (that is hindcasts and reconstructions) and scenarios for the future obtained from numerical models. The atmospheric part of the dataset is simulatated using the COSMO-CLM (http://www.clm-community.eu). The objective is to provide a consistent meteo-marine data set. Summary: This is an atmospheric hourly hindcast for Western Europe and the North Atlantic using COSMO-CLM version 4.8_clm_11 with spectral nudging from 1948-2012. The model uses a rotated grid with 254 x 248 grid points and a grid point distance of 0.22 degrees, the rotated North pole is located at 170 W, 35 N. In rotated coordinates the model area extends from 30.44 W to 25.22 E, 25.72 S to 28.62 N, in geographical coordinates this corresponds to about 68 W to 82 E, 25.6 N to 81.4 N.
DOI: 10.1594/wdcc/eh5-t63l31_om-gr1.5l40_20c_3_6h
title: IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 20C3M run no.3: atmosphere 6 HOUR values MPImet/MaD Germany

description: Project: IPCC Assessment Report Four ECHAM5/MPIOM data sets - The project embraces the simulations with the coupled climate model ECHAM5/MPIOM, relevant for the 4th Assessment Report (AR4, http://www.ipcc.ch/ipccreports/assessments-reports.htm ) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC has been established by WMO and UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change, its potential impacts and options for adaptation and mitigation. A more detailed description about the work of the IPCC can be found at the IPCC homepage ( http://www.ipcc.ch ) and at ( www.grida.no/climate/ipcc ). As a further development the Special Report on Emission Scenarios (SRES, http://www.grida.no/Climate/ipcc/emission/) have been constructed, to describe (potential) future developments in the global environment with special reference to the production of greenhouse gases and to aerosol precursor emissions. A set of four scenario families (A1, A2, B1, B2) have been developed (see also http://www.grida.no/climate/ipcc/emission/index.htm ) The model output data are available at the World Data Center for Climate, Hamburg.( wdc-climate.de ).Projection of future trends based on selected emission scenarios are provided through this project for a great many model variables of ECHAM5/MPIOM . For a selected set of variables the IDCC-Data Distribution Center provides additional data sets from a multitude of models that contribute to the IPCC-AR4 report (project: IPCC_DDC_AR4). Summary: The data represent 6 hourly values of a 20th century simulation (including year 2000) with observed anthropogenic forcings(CO2, CH4, N2O, CFCs, O3 and sulfate) initialized in year 2240 of the preindustrial control run. This is followed by a commitment experiment for the 21th century (years 2001-2100) with all concentrations fixed at their levels of the year 2000. Data Sets with monthly mean values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/m/m214002/EXP500/run524 Please note: experiment_name/acronym was renamed (27-JUN-2005, 20C_2 changed to 20C_3)
DOI: 10.1594/wdcc/eh5-t63l31_om-gr1.5l40_a1b_3_6h
title: IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 SRESA1B run no.3: atmosphere 6 HOUR values MPImet/MaD Germany

description: Project: IPCC Assessment Report Four ECHAM5/MPIOM data sets - The project embraces the simulations with the coupled climate model ECHAM5/MPIOM, relevant for the 4th Assessment Report (AR4, http://www.ipcc.ch/ipccreports/assessments-reports.htm ) of the Intergovernmental Panel on Climate Change (IPCC). The IPCC has been established by WMO and UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change, its potential impacts and options for adaptation and mitigation. A more detailed description about the work of the IPCC can be found at the IPCC homepage ( http://www.ipcc.ch ) and at ( www.grida.no/climate/ipcc ). As a further development the Special Report on Emission Scenarios (SRES, http://www.grida.no/Climate/ipcc/emission/) have been constructed, to describe (potential) future developments in the global environment with special reference to the production of greenhouse gases and to aerosol precursor emissions. A set of four scenario families (A1, A2, B1, B2) have been developed (see also http://www.grida.no/climate/ipcc/emission/index.htm ) The model output data are available at the World Data Center for Climate, Hamburg.( wdc-climate.de ).Projection of future trends based on selected emission scenarios are provided through this project for a great many model variables of ECHAM5/MPIOM . For a selected set of variables the IDCC-Data Distribution Center provides additional data sets from a multitude of models that contribute to the IPCC-AR4 report (project: IPCC_DDC_AR4). Summary: The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A1B scenario is the part of the A1 family which describes a balance across all energy sources. The experiment has been initialized in year 2000 of the 20C_3 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A1B. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204097/EXP000/run010
DOI: 10.1594/wdcc/uni_hh_mi_damocles2007
title: DAMOCLES 2007-2008 - Hamburg Arctic Ocean Buoy Drift Experiment: meteorological measurements of 16 autonomous drifting ice buoys

description: Project: Field Data of the Meteorological Institute, University of Hamburg - The Physical Meteorology Division of the Meteorological Institute is regularly conducting or taking part in field experiments with strong focus on high latitudes. Measurements are performed by aircraft, radiosondes or buoys and at land, ship and ice stations. Published data sets incorporate aircraft measurements of turbulent fluxes and standard meteorological parameters of high temporal and spatial resolution. These measurements are supported by frequent radiosonde ascents and station and ship data in the according region. Another group of data sets consists of measurements by autonomous buoys of different complexity on sea ice and ocean. Summary: The field experiment DAMOCLES 2007 (Hamburg Arctic Ocean Buoy Drift Experiment DAMOCLES 2007-2008) consisted of the deployment and tracking of an array of 16 drifting autonomous buoys in the Central Arctic Ocean. The buoys were deployed in a quadratic array with 400 kilometres side length in the Siberian sector of the Central Arctic Ocean in April 2007. While drifting towards Fram Strait the buoys delivered at approximately 1-hourly time intervalls position, sea level pressure and temperature for several months with the last buoy transmitting until January 2008. The aim of the experiment was to study the Atmosphere-Ice-Ocean interaction, especially the impact of cyclones on the formation and transport of sea ice. DAMOCLES 2007 and DAMOCLES 2008 are a contribution to European integrated project DAMOCLES (Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies) which is funded by the European Union. DAMOCLES is a contribution to IPY 2007-2008 (International Polar Year).
DOI: 10.17632/mt6mv5v7sk.1
title: Replication Package for "The Unintended Consequences of Compensating Trade's Losers"

description: This replication package contains all Matlab scripts to simulate the model and generate Figures 1 and 2. Please refer to the ReadMe.txt file for replication steps.
DOI: 10.25958/xhbd-sk71
title: Physiological plateaus during childbirth: De-identified research data 2020-2022

description: This dataset comprises curated (de-identified/anonymised) research data of a grounded theory study, collected between 2020 to 2022 in Australia. The dataset includes interview data of 20 midwives who participated in this study, with an average interview duration of one hour per participant. Data is made available in the form of condensed verbatim transcripts (PDF and Microsoft Word format available, including transcription key), and a reduced demographics table (PDF and Microsoft Excel format available).
DOI: 10.5065/d6n014hk
title: Permafrost Temperature Data from a Deep Borehole Array on the Arctic Slope of Alaska, Version 1
DOI: 10.5066/p97mw2t8
title: Concentrations of Pharmaceutical Contaminants and Their Predicted Effects from a Multi-Regional Assessment of Wadeable USA Streams, 2014-2017

description: Human-use pharmaceutical compounds were analyzed at the U.S. Geological Survey, National Water Quality Laboratory, Denver, Colorado, in wadeable streams in 4 Regional Stream Quality Assessments: Northeast (NESQA), Southeast (SESQA), Pacific Northwest (PNSQA) and California (CSQA). Multiple (with few exceptions) samplings occurred at each site, during base flow, between 2014 and 2017. Sites were located in the headwaters of perennial, wadeable streams in urban and agricultural watersheds. Site selection and methodology for each assessment can be found in Van Meter and others (2015), Sheibley and others (2015), Van Meter and others (2017), Coles and others (2019), Van Meter and others (2016), Journey and others (2015), and Van Meter and others (2014). VanMetre, P.C., Morace, J.L., and Sheibley, Rich, 2015, The Pacific northwest stream quality assessment: U.S. Geological Survey Fact Sheet 2015 - 3020, 2 p., https://dx.doi.org/10.3133/fs20153020. Sheibley, R.W., Morace, J.L., Journey, C.A., Van Metre, P.C., Bell, A.H., Nakagaki, Naomi, Button, D.T., and Qi, S.L., 2017, Design and methods of the Pacific Northwest Stream Quality Assessment (PNSQA), 2015: U.S. Geological Survey Open-File Report 2017-1103, 46 p., https://doi.org/10.3133/ofr20171103. Coles, J.F., Riva-Murray, K., Van Metre, P.C., Button, D.T., Bell, A.H., Qi, S.L., Journey, C.A., and Sheibley, R.W., 2019, Design and methods of the U.S. Geological Survey Northeast Stream Quality Assessment (NESQA), 2016: U.S. Geological Survey Open-File Report 2018 - 1183, 46 p., https://doi.org/10.3133/ofr20181183. Van Metre, P.C., Riva-Murray, Karen, and Coles, J.F., 2016, The Northeast Stream Quality Assessment: U.S. Geological Survey Fact Sheet 2016 - 3021, 2 p., http://dx.doi.org/10.3133/fs20163021. Journey, C.A., Van Metre, P.C., Bell, A.H., Garrett, J.D., Button, D.T., Nakagaki, N., Qi, S.L., and Bradley, P.M., 2015, Design and methods of the Southeast Stream Quality Assessment (SESQA), 2014: U.S. Geological Survey Open-File Report 2015 - 1095, 46 p., http://dx.doi.org/10.3133/ofr20151095. Van Metre, P.C., and Journey, C.A., 2014, The Southeast Stream Quality Assessment: U.S. Geological Survey Fact Sheet 2014 - 3023, 2 p., https://dx.doi.org/10.3133/fs20143023.
DOI: 10.5281/zenodo.14505948
title: ISPRA Linked Open Dataset part of the WHOW-KG

description: This linked open dataset contains Italian data for:



soil consumption (soilc);

spread in water of Ostreopsis ovata (ostreopsis);

environmental protection interventions (dissesto);

Italian national tide gauge network (rmn);

Italian National Wave Network (ron);

bathing waters (bathw).
DOI: 10.5281/zenodo.7916383
title: ISPRA Linked Open Dataset part of the WHOW-KG

description: This linked open dataset contains Italian data for: soil consumption; spread in water of Ostreopsis ovata; environmental protection interventions.
DOI: 10.5281/zenodo.7916732
title: ARIA Linked Open Dataset part of the WHOW-KG

description: This linked open dataset contains data of Lombardy, Italy, i.e.: Analytical data of river water bodies, including flow rate; Analytical data of lake water bodies; Analytical data of groundwater; Height of the lakes; Infectious diseases rates; Meteo observations and weather stations.
DOI: 10.5281/zenodo.7919460
title: Controlled vocabularies of WHOW-KG

description: This RDF dataset contains three controlled vocabularies of the WHOW-KG, defining terms for: water indicators; diseases; chemical substances.
DOI: 10.1594/pangaea.111884
title: Biogenic particle flux of trap NABE-N34.1
DOI: 10.1594/pangaea.111885
title: Biogenic particle flux of trap NABE-N34.2
DOI: 10.1594/pangaea.111886
title: Biogenic particle flux of trap NABE-N48.1
DOI: 10.1594/pangaea.111887
title: Biogenic particle flux of trap NABE-N48.2
DOI: 10.1594/pangaea.112906
title: Particle interceptor data of sediment trap AT_II-119/4_Trap_B
DOI: 10.1594/pangaea.93385
title: Annual Particle fluxes of NABE-N34_trap
DOI: 10.1594/pangaea.93386
title: Annual Particle fluxes of NABE-N48_trap
DOI: 10.1594/pangaea.93417
title: Particle fluxes of 19°N20°W_trap
DOI: 10.1594/pangaea.93418
title: Particle fluxes of 24°N23°W_trap
DOI: 10.1594/pangaea.93419
title: Particle fluxes of 28°N22°W_trap
DOI: 10.1594/pangaea.93420
title: Particle fluxes of Parflux7G_trap
DOI: 10.5281/zenodo.14510373
title: WHOW RML files

description: The RML file used for converting input datasets to the WHOW KG. he RDF Mapping language (RML) is a mapping language defined to express customized mapping rules from heterogeneous data structures and serializations to the RDF data model.
DOI: 10.1594/pangaea.112905
title: Particle interceptor data of sediment trap AT_II-119/4_Trap_A
DOI: 10.1594/pangaea.112907
title: Particle interceptor data of sediment trap AT_II-119/5_Trap_C
DOI: 10.1594/pangaea.183618
title: Zooplankton biomass at DYFAMED time series station
DOI: 10.1594/pangaea.51983
title: Relative abundance of planktic foraminifera in the 120 kyr time slice reconstruction of sediment core GIK12392-1
DOI: 10.1594/pangaea.615183
title: Particle concentrations and physical parameters in surface sediments and aggregates from the Portuguese continental margin

description: Critical erosion stress (u*cri) was determined by using an erosion chamber with controlled bottom stress to the surface sediments in the sediment-core. The u* was increased in small steps of 0.08 cms-1, until u*cri was attained for both agreggates and the undelying sediment.(Thomsen and Gust (2000) Sediment stability and characteristics of resuspended aggregates of the western European continental margin. Deep Sea Res 47/10: 1881-1897). When possible, the u* initiating bedload transport of aggregates was also recorded.The resuspended particles were collected in a polycarbonate bottle. A subsample was concentrated onto precombusted Whatman GF/F glass filters. The dry weight was subsequently determined. Based on the weight of the collected particles and the area of the core we estimated the resuspendable particle concentration. This measure was used with the measurements obtained with (3) to calculate the Total Particulate Carbon (TPC), Total Organic Carbon (TOC), and Particulate Organic Nitrogen (PON).Particles were concentrated onto precombusted Whatman GF/F glass filters and analyzed with a Euro-EA Elemental analyzer (Hekatech) standardized with acetanilide. We measured the percentages of carbon (%C), organic carbon (%OC) and organic nitrogen (%ON) (e.g. Ehrhardt and Koeve (1999) Determination of particulate organic carbon and nitrogen. In: Grassho!, K., Kremling, K., Ehrhardt, M. (Eds.), Methods of Seawater Analysis. Verlag Chemie, Weinheim, pp. 437-444.)PCB and PCN were concentrated onto precombusted Whatman GF/F glass filters and determined by AIMES GmbH using two-dimensional gas chromatography-isotope ratio mass spectrometry, after Horii et al (2005): Congener-specific carbon isotopic analysis of technical PCB and PCN mixtures using two-dimensional gas chromatography-isotope ratio mass spectrometry.Environ Sci Technol. 2005 Jun 1;39:4206-12.
DOI: 10.1594/pangaea.734145
title: Antarctic dataset in NetCDF format

description: The dataset described in this document has been put together for the purposes of numerical ice sheet modelling of the Antarctic Ice Sheet (AIS), containing data on the ice sheet configuration (e.g. ice surface and ice thickness) and boundary conditions, such as the surface air temperature and accumulation. It is now possible to download a community ice sheet model (e.g. Glimmer-CISM, Rutt et al., 2009 doi:10.1029/2008JF001015), but without adequate data it is difficult to utilise such models. More specifically, ice sheet models that are initialised and run forward from the present day ice sheet configuration, need input data to represent the present-day ice sheet configuration as closely as possible (unlike those spun-up from ice free conditions, which only require the bed/bathymetry). Whilst the BEDMAP dataset (Lythe et al., 2001) was a step forward when it was made, there are a number of inconsistencies within the dataset (see Section 3), and since its release, more data has become available. The dataset described here incorporates some major new datasets (e.g. AGASEA/BBAS ice thickness, Nitsche et al. (2006) bathymetry doi:10.1029/2007GC001694), but by no means incorporates all the new data available. This considerable task is left for a 'BEDMAP2', (an updated version of BEDMAP), however, the processing carried out in this document illustrates the requirements of a dataset for the purpose of high resolution ice sheet modelling, and bridges the gap until a BEDMAP2 is published. It is envisaged, however, that updated versions of the data set will be made available periodically when new regional data sets become available and can be readily incorporated.
description: In order to receive notification of updates and new versions, please email the corresponding author at mailto:A.LeBrocq@exeter.ac.uk, to be added to a users group list.NetCDF format details at http://www.unidata.ucar.edu/software/netcdf/
DOI: 10.1594/wdcc/uni_hh_mi_damocles2008
title: DAMOCLES 2008-2011 - Hamburg Arctic Ocean Buoy Drift Experiment: meteorological measurements of 9 autonomous drifting ice buoys

description: Project: Field Data of the Meteorological Institute, University of Hamburg - The Physical Meteorology Division of the Meteorological Institute is regularly conducting or taking part in field experiments with strong focus on high latitudes. Measurements are performed by aircraft, radiosondes or buoys and at land, ship and ice stations. Published data sets incorporate aircraft measurements of turbulent fluxes and standard meteorological parameters of high temporal and spatial resolution. These measurements are supported by frequent radiosonde ascents and station and ship data in the according region. Another group of data sets consists of measurements by autonomous buoys of different complexity on sea ice and ocean. Summary: The field experiment DAMOCLES 2008 (Hamburg Arctic Ocean Buoy Drift Experiment DAMOCLES 2008-2009) consisted of the deployment and tracking of 9 drifting autonomous ice buoys in the Arctic Ocean. Seven buoys were deployed in the Canadian sector of the Arctic Ocean in late April 2008. Two more buoys were deployed in the Beaufort Sea and in the Laptev Sea in September and October 2008. The platforms report position, atmospheric pressure, temperature and humidity, wind speed and ice temperature at 3-hourly time steps. The last two buoys additionally report wind direction. The aim of the experiment was to study the Atmosphere-Ice-Ocean interaction, especially the impact of cyclones on the formation and transport of sea ice. DAMOCLES 2008 and its predecessor DAMOCLES 2007 are a contribution to European integrated project DAMOCLES (Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies) which is funded by the European Union. DAMOCLES is a contribution to IPY 2007-2008 (International Polar Year).
DOI: 10.25822/ghy8-ks59
title: Sleep Heart Health Study (SHHS)