cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.53274
title: Bulk sediment parameter of surface sediment samples (Table 3)

description: Comparison of rates of accumulation of organic carbon in surface marine sediments from the central North Pacific, the continental margins off northwest Africa, northwest and southwest America, the Argentine Basin, and the western Baltic Sea with primary production rates suggests that the fraction of primary produced organic carbon preserved in the sediments is universally related to the bulk sedimentation rate. Accordingly, less than 0.01% of the primary production becomes fossilized in slowly accumulating pelagic sediments [(2 to 6 mm (1000 y)**-1] of the Central Pacific, 0.1 to 2% in moderately rapidly accumulating [2 to 13 cm (1000 y)**-1] hemipelagic sediments off northwest Africa, northwest America (Oregon) and southeast America (Argentina), and 11 to 18% in rapidly accumulating [66 to 140 cm (1000 y)**-1] hemipelagic sediments off southwest America (Peru) and in the Baltic Sea.The emiprical expression: %Org-C = (0.0030*R*S**0.30)/(ps(1-Theta)) implies that the sedimentary organic carbon content (% Org-C) doubles with each 10-fold increase in sedimentation rate (S), assuming that other factors remain constant; i.e., primary production (R), porosity and sediment density (ps). This expression also predicts the sedimentary organic carbon content from the primary production rate, sedimentation rate, dry density of solids, and their porosity; it may be used to estimate paleoproductivity as well. Applying this relationship to a sediment core from the continental rise off northwest Africa (Spanish Sahara) suggests that productivity there during interglacial oxygen isotope stages 1 and 5 was about the same as today but was higher by a factor of 2 to 3 during glacial stages 2, 3, and 6.
description: Supplement to: Müller, Peter J; Suess, Erwin (1979): Productivity, sedimentation rate, and sedimentary organic matter in the oceans. I.- Organic matter preservation. Deep-Sea Research Part A. Oceanographic Research Papers, 26(12), 1347-1362
DOI: 10.1594/pangaea.910994
title: Physical oceanography (CTD) during METEOR cruise M131

description: Matlab = 9.4.0.813654 (R2018a)Release = 4nc_project = EU-PREFACE, BMBF-SACUSnc_uncertainty_p = 2.000000nc_uncertainty_t = 0.002000nc_uncertainty_s = 0.003000nc_uncertainty_o = 1.000000
DOI: 10.17632/vpwz6mrynr.1
title: Data for: Dynamics of GCN4 facilitate DNA interaction: a model-free analysis of an intrinsically disordered region

description: The file contains the relaxation rate constants and experimental uncertainties in the relaxation rate constants (1 standard deviation) for nitrogen-15 spin relaxation measurements for backbone amide groups in of the basic leucine-zipper (bZip) domain of the Saccharomyces cerevisiae transcription factor GCN4. The data are recorded at 300 K using 600, 700, 800, and 900 MHz NMR spectrometers. The reported measurements are the relaxation rate constant for longitudinal magnetization (R1), the relaxation rate constant for transverse magnetization (R2), and the steady-state nuclear Overhauser effect. The R1 and R2 rate constants recorded at 700 MHz have been temperature-corrected as described in the associated article.
DOI: 10.17632/zf4wdcc3bw.1
title: Offline INP measurements at Ny-Ålesund (Svalbard) in 2018

description: This dataset reports atmospheric ice nucleating particle (INP) concentrations, measured offline on samples collected at ground level in Ny-Ålesund (Svalbard; 78°55’ N, 11°56’ E), in spring and summer 2018. The ice nucleation properties of the samples were characterized by means of two offline instruments: the Dynamic Filter Processing Chamber (DFPC), detecting condensation freezing INPs, and the West Texas Cryogenic Refrigerator Applied to Freezing Test system (WT-CRAFT), measuring INPs by immersion freezing. Sampling for DFPC occurred on a campaign basis (one in spring and one in summer) with daily resolution and sampling time of about four hours, while filters for WT-CRAFT were collected continuously from April to August, with four days sampling intervals. Meteorological data from 15 April to 15 August 2018 are also reported. Meteorological parameters were taken from the Amundsen-Nobile Climate Change Tower, positioned less than 1 Km N-E of the sampling point. This dataset is discussed in a manuscript titled “Condensation and immersion freezing Ice Nucleating Particle measurements at Ny-Ålesund (Svalbard) during 2018: evidence of multiple source contribution” by M. Rinaldi et al., which is currently under review for Atmospheric Chemistry and Physics.
DOI: 10.17871/carboscope-s10oc_v2021
title: Jena CarboScope: Atmospheric CO2 inversion
DOI: 10.18739/a2sj19r18
title: miniFlux data from Stratified Ocean Dynamics of the Arctic (SODA) campaign, Beaufort Sea and northern Alaska, 2018

description: This dataset contains measurements obtained with the NOAA (National Oceanic and Atmospheric Administration)/University of Colorado miniFlux sensor suite, flown on the University of Alaska - Fairbanks SeaHunter unmanned aircraft system as part of SODA (Stratified Ocean Dynamics of the Arctic). Included are atmospheric variables and surface and sky brightness temperatures. The aircraft was stationed at Kuparuk airport on the north slope of Alaska, and flights occurred around the airport and to the north over the Beaufort Sea. Five flights were completed in total.
DOI: 10.24400/527896/a01-2021.001
title: Mesoscale Eddy Trajectories Atlas META3.1exp Delayed-Time all satellites
title: version META3.1exp DT allsat

description: This dataset is composed of the trajectories and all associated parameters for the eddies detected with the py-eddy-tracker algorithm (Mason et al., 2014. DOI:10.1175/JTECH-D-14-00019.1) freely released under a GPL V3 license (https://github.com/AntSimi/py-eddy-tracker). The detection is made on maps of Absolute Dynamic Topography (ADT) computed with the maximum altimeter satellites available, the maps are distributed by the Copernicus Marine Service (https://marine.copernicus.eu, cf user manual for details). The maps are high-pass filtered with a half-power cutoff wavelenght of 700 km. The amplitude must be over 0.4 cm , the minimum number of grid points within a contour is 5 and the shape error must be below 70% on the raw effective contour. Note that the contour storage resampling may slightly change the provided error. The tracking is made through the overlap of the eddies. In case of multiple candidates, the eddy with the higher ratio overlap area over union area is associated to the trajectory. Trajectories are considered reliable when they last at least 10 days.
DOI: 10.24400/527896/a01-2021.002
title: Mesoscale Eddy Trajectories Atlas META3.1exp Delayed-Time two satellites
title: version META3.1exp DT twosat

description: This dataset is composed of the trajectories and all associated parameters for the eddies detected with the py-eddy-tracker algorithm (Mason et al., 2014. DOI:10.1175/JTECH-D-14-00019.1) freely released under a GPL V3 license (https://github.com/AntSimi/py-eddy-tracker). The detection is made on maps of Absolute Dynamic Topography (ADT) computed with two altimeter satellites, the maps are distributed by the Copernicus Climate Change Service (https://climate.copernicus.eu/, cf user manual for details). The maps are high-pass filtered with a half-power cutoff wavelenght of 700 km. The amplitude must be over 0.4 cm, the minimum number of grid points within a contour is 5 and the shape error must be below 70% on the raw effective contour. Note that the contour storage resampling may slightly change the provided error. The tracking is made through the overlap of the eddies. In case of multiple candidates, the eddy with the higher ratio overlap area over union area is associated to the trajectory. Trajectories are considered reliable when they last at least 10 days.
DOI: 10.25914/5fdb0902607e1
title: PLUMBER2: forcing and evaluation datasets for a model intercomparison project for land surface models v1.0
DOI: 10.48670/moi-00136
title: Global Ocean Sea Ice Concentration Time Series REPROCESSED (EUMETSAT OSI-SAF)

description: EU Copernicus Marine Service Global Ocean Sea Ice Concentration Time Series REPROCESSED (OSI-SAF) Product
DOI: 10.5067/atlas/atl06.006
title: ATLAS/ICESat-2 L3A Land Ice Height, Version 6
DOI: 10.5067/caliop/calipso/lid_l1-standard-v4-10
title: CALIPSO LID L1 Standard HDF File - Version 4.10
DOI: 10.5067/terra+aqua/ceres/ebaf-surface_l3b004.0
title: CERES Level 3B EBAF-Surface Terra+Aqua netCDF file - Edition 4.0
DOI: 10.5067/ubenjb9d3t2h
title: Aqua/AIRS L3 Monthly Standard Physical Retrieval (AIRS-only) 1 degree x 1 degree V7.0
DOI: 10.5067/x1q9va07qds7
title: OMPS-NPP L2 LP Ozone (O3) Vertical Profile swath daily 3slit V2.5
DOI: 10.5255/ukda-sn-854897
title: Surveys of Constitutional Change Process after the Scottish Referendum and Before the 2015 Westminster Elections, 2015

description: Surveys of constitutional change process aims to investigate public's attitudes and awareness toward constitutional preferences, constitutional change process and civic culture orientations between the Scottish referendum and the 2015 Westminster elections.These statistics were used to help understand public attitudes and the similarities/differences with elite attitudes. The sampling design ensures sufficient numbers of participants in different regions across the UK. The survey asked people who live in Scotland, Wales and Northern Ireland, their views on specific possible political changes in their areas. In addition to this, young people aged 16-17 years old were over-sampled to investigate the questions around the extension of voting franchise to young people.
DOI: 10.5281/zenodo.14175354
title: 2023 HYDRAS Proof of concept experiment with soybean genotypes
title: 2023_POC

description: Description

This data sets contains metadata and data of the 2023_POC experiment in the HYDRAS facility.

 The 2023 proof-of-concept study in hydras tested all standard field-phenotyping measurement types available in the infrastructure with 3 contrasting varieties of soybean + a control and a drought treatment using rain-out shelters. Start date: 23/5/2023, End dat: 4/10/2023. Location: Melle, Belgium. 

Data set contains: UAV sensor data, Electrical Resistivity Tomography data, soil point sensor data (water content, water potential and temperature), weather data, yield data and associated experimental information. 

Content



2023_POC_metadata.xlsx contains all information about the experiment (goal, design, sensors, treatments, biological material, ...) and about the associated data files.

Subfolder SPATIAL_INFO contains all spatial information about the experimental layout (location of field, plots, sensors, transects, ...) in GEOJSON files

Other subfolders contain the actual data from various sources as .csv files.
DOI: 10.5281/zenodo.2650096
title: Precursor dataset CNk2

description: Dataset for TotalControl flow database precursor simulation CNk2.

Further information, including description of the dataset can be found in the deliverable report:

Andersen SJ, Meyers J, Munters W, Sood I, Troldborg N. "Flow Database for reference wind farms part 1: precursor simulations"
DOI: 10.5281/zenodo.2650100
title: Precursor dataset PDk

description: Dataset for TotalControl flow database precursor simulation of a pressure-driven high Reynolds number boundary layer flow (Casename PDk).

Further information, including description of the case and dataset can be found in the deliverable report at: 

Andersen SJ, Meyers J, Munters W, Sood I, Troldborg N. "Flow Database for reference wind farms part 1: precursor simulations"
DOI: 10.5281/zenodo.4019321
title: Georeferenced drone thermal video and related data, recorded on 6 and 28 August 2019 in Siikaneva peatland

description: Data files in Matlab .mat format. 1) EC_and_timeaxes.mat: Eddy Covariance data covering the drone measurement periods, time axes for drone 1Hz sequences and EC data; 2) T_fluctuation_corr.mat: Four georeferenced sequences of surface temperature fluctuation T'(x,y,z) derived from the four measured thermal videos; 3) T_georef_orig.mat: Four georeferenced sequences of surface temperature T(x,y,z) corresponding to the four measured thermal videos; 4) UTMgrid_anemometer_RGBpic.mat: UTM grid for the T'(x,y,z) and T(x,y,z) sequences, pixel coordinates of anemometer location, georeferenced UAV RGB image (with the same UTM grid as the thermal images).
DOI: 10.5281/zenodo.4064803
title: Global CO2 uptake of cement in 1930-2019

description: This dataset is associated with the publication on Earth System Science Data, with the same title. It includes four sections including the model inputs of the estimation models, the simulation results of global CO<sub>2</sub> emission and uptake by year, the variables and ranges considered in the uncertainty analyses of the uptake estimation and the corresponding confidence intervals from the analyses. For detailed explanations of these datasets, one should should refer to the original manuscript.
DOI: 10.5281/zenodo.4086171
title: Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model - 2 degree WaveWatchIII configuration files

description: This dataset contains the mesh and model configuration information for a WaveWatchIII run using a 2 degree structured grid. glo_2d.bot Bottom depth file for 2 degree structured grid glo_2d.mask Mask file for 2 degree structured grid obstructions_local.glo_2d.in local obstructions file for use with UOST source term switch obstructions_shadow.glo_2d.in shadow obstructions file for use with UOST source term switch ww3_grid.inp Input file for the ww3_grid pre-processing program. This file specifies many of the model configuration settings. ww3_shel.inp Input file for the ww3_shel program.
DOI: 10.5281/zenodo.4088444
title: Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model - 1/2 degree WaveWatchIII configuration files

description: This dataset contains the mesh and model configuration information for a WaveWatchIII run using a 1/2 degree structured grid. glo_30m.bot Bottom depth file for a 1/2 degree structured grid glo_30m.mask Mask file for a 1/2 degree structured grid obstructions_local.glo_30m.in local obstructions file for use with UOST source term switch obstructions_shadow.glo_30m.in shadow obstructions file for use with UOST source term switch ww3_grid.inp Input file for the ww3_grid pre-processing program. This file specifies many of the model configuration settings. ww3_shel.inp Input file for the ww3_shel program.
DOI: 10.5281/zenodo.4088520
title: Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model - unstructured (2 degree to 1/2 degree) WaveWatchIII configuration files

description: This dataset contains the mesh and model configuration information for a WaveWatchIII run using a global ustructured grid. mesh.msh Unstructured mesh file in gmsh format. The unstructured mesh has 2 degree resolution globally with 1/2 degree resolution around the U.S. coastlines. The transition in resolution occurs at 4000m depth with a 10% resolution grading. obstructions_local.glo_unst.in local obstructions file for use with UOST source term switch obstructions_shadow.glo_unst.in shadow obstructions file for use with UOST source term switch ww3_grid.inp Input file for the ww3_grid pre-processing program. This file specifies many of the model configuration settings. ww3_shel.inp Input file for the ww3_shel program.
DOI: 10.5281/zenodo.4088881
title: Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model - Simuation results and observed data

description: This data set contains the simulation results and observed data at NDBC buoy locations. wave_data.pickle File containing python data objects which store: station ID data, observed data, model data, and model output dates. Requires python 3.8. data_access.py Example python script which reads in a prints the data from wave_data.pickle. It also demonstrates how to access data from the objects stored in the pickle file.
DOI: 10.5281/zenodo.4273949
title: A Schwarz iterative method to evaluate ocean- atmosphere coupling schemes. Implementation and diagnostics in IPSL-CM6-SW-VLR. GMD-2020-307

description: These files are associated with an article submitted to Geoscientific Model Development (https://www.geoscientific-model-development.net) with reference GMD-2020-307 : A Schwarz iterative method to evaluate ocean- atmosphere coupling schemes. Implementation and diagnostics in IPSL-CM6-SW-VLR.<br> By Olivier Marti, Sébastien Nguyen, Pascale Braconnot, Sophie Valcke, Florian Lemarié, and Eric Blayo It contains :<br> - The model code used for the study<br> - The model outputs used for the study<br> - The script used to produce the figures. Contact : Olivier Marti - olivier.marti@lsce.ipsl.fr
DOI: 10.5281/zenodo.4660188
title: CESM climatological 2D ocean forcing gx1 2021.04.02

description: Forcing file derived from CESM-LE pi control run (Kay et al. 2015). Monthly mean climatological Q-flux and mixed-layer depth for slab ocean model runs (oceanmixed_ice = .true.) Metadata available from ncdump -h. Note that the newer version (2021-04-02) has filled in land with nearest neighbor interpolation and this should be used.
DOI: 10.5281/zenodo.4776925
title: Fossil Fuel CO₂ Emissions for the OCO2 Model Intercomparison Project (MIP)

description: These are fossil CO<sub>2</sub> fluxes updated through March 2021 for OCO2-related atmospheric CO<sub>2</sub> modeling. For 2000-2019, they're based on ODIAC 2020 (https://db.cger.nies.go.jp/dataset/ODIAC/DL_odiac2020.html), which in turn uses BP's energy use statistics for 2018 and 2019. ODIAC monthly emissions have been disaggregated to hourly using the TIMES emission factors for day of week and time of day (https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2012JD018196). For 2020 and 2021, ODIAC's 2019 emissions have been scaled by the ratio of 2020 (or 2021) and 2019 emissions reported by Carbon Monitor (https://www.nature.com/articles/s41597-020-00708-7), downloaded on May 20, 2021 from https://carbonmonitor.org/. ODIAC does not have sectoral decomposition to the degree provided by Carbon Monitor, so total ODIAC emissions for each region have been scaled by the total emission change between 2019 and 2020 (or 2021) reported by Carbon Monitor, i.e., power, ground transport, etc. have <strong>not</strong> been separately scaled. Carbon Monitor data are daily, but ODIAC emissions are monthly. So Carbon Monitor data have been aggregated to monthly totals before deriving scaling factors between 2019 and 2020 (or 2021). If your work depends on the exact timing of emission reduction in 2020 reported by Carbon Monitor, <strong>do not</strong> use these emission files. Carbon Monitor reports international aviation emissions by country of origin, while ODIAC reports aviation emissions on a grid. Since there is no way to derive the points of emission for Carbon Monitor aviation emissions , all Carbon Monitor international aviation was aggregated to create a single number for each month, then that number was used to scale ODIAC's bunker fuel for each month in 2020 and 2021. Hourly global totals are given in the files as a check, in case you want to verify your units and file reading.
description: Previous versions available from (2018): https://gmao.gsfc.nasa.gov/gmaoftp/sourish/ODIAC/2018/distrib/, (2017): ftp://aftp.cmdl.noaa.gov/data/ccgg/ODIAC/2017/distrib/, (2016): ftp://aftp.cmdl.noaa.gov/data/ccgg/ODIAC/2016/distrib/, (2015a): ftp://aftp.cmdl.noaa.gov/data/ccgg/ODIAC/2015a/distrib/
DOI: 10.5281/zenodo.5076646
title: Replication Data for: Interpretable machine learning prediction of fire emission and comparison with FireMIP process-based models

description: The target and predictor variables used in the developed ML model.
DOI: 10.5281/zenodo.5528542
title: Supplementary Data for "The state and fate of lake ice thickness in the Northern Hemisphere"

description: This dataset consists of four files including (1) Lake ice thickness of 16 large lakes measured by satellite altimeters for 1992-2019 (Altimetric LIT for 16 large lakes.xlsx); (2) Daily lake ice thickness and lake surface snow depth of 1,313 lakes with an area &gt; 50 km<sup>2</sup> in the Northern Hemisphere modeled by a one-dimensional remote sensing lake ice model for 2003-2018 (in NetCDF format); (3) Future lake ice thickness and surface snow depth for 2071-2099 modeled by the lake ice model with a modified ice growth module (table S1.xlsx); (4) A lookup table containing lake IDs, names, locations, and areas. This daily lake ice and snow thickness dataset could provide a benchmark for the estimation of global lake ice and snow mass, thereby improving our understanding of the ecological and economical significance of freshwater ice as well as its response to climate change.
DOI: 10.5281/zenodo.6975602
title: Oservational data for sfdda nudging analysis in WRF model over China during 2017

description: Oservational data for sfdda nudging analysis in WRF model over China during 2017.
DOI: 10.5281/zenodo.7354493
title: High-resolution large weighing lysimeter measurements with meteorological and soil-hydrological variables from a Mediterranean Savanna

description: Raw and processed lysimeter weighing and flux data at the instrumental site ES-LMa of six large high-precision weighing lysimeters in a Mediterranean Savanna ecosystem for the period from 2019-06-01 to 2020-05-31. Additionally, meteorological and radiometric data are provided. Additionally, code for the lysimeter processing is provided. Reproducible workflow of the article <strong>Paulus et al. 2022: Resolving seasonal and diel dynamics of non-rainfall water inputs in a Mediterranean ecosystem using lysimeters. HESS, https://doi.org/10.5194/hess-2021-519</strong> Variables, units and detailed description are found in the README.html file.
description: The authors thank the von Humboldt Stiftung for financial support of the MaNiP project through the Max Planck research prize 2013 to Markus Reichstein
DOI: 10.5281/zenodo.7358841
title: Comparison of Large Eddy Simulations against measurements from the Lillgrund offshore wind farm - Manuscript data

description: Time averaged power and farm inflow velocity for the manuscript "Comparison of Large Eddy Simulations against measurements from the Lillgrund offshore wind farm" for publication in the wind energy science journal. Data is uploaded for the 5 simulation cases covered. 'Power' files contain average power production for 48 turbines. First row corresponds to LES data, second row corresponds to SCADA data from the Lillgrund wind farm. 'Velocity' files contain inflow mean velocity measurements at the 72 range gate locations. First row corresponds to LES inflow data, second row corresponds to LIDAR inflow data from the Lillgrund wind farm.
DOI: 10.5281/zenodo.7925012
title: FNL data used for producing meteorological ICs/BCs of WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1

description: The National Center for Environmental Prediction Final Analysis (NCEP-FNL) datasets with a horizontal resolution of 1° × 1° at 6-hour intervals are used for producing meteorological initial and boundary conditions of WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1.
DOI: 10.5281/zenodo.7931614
title: Emission input data for WRF-CHMIERE

description: Emission input data for WRF-CHIMERE in eastern China during 2017.
DOI: 10.5281/zenodo.7932390
title: Chemical initial and boundary conditions for WRF-CMAQ

description: Chemical initial and boundary conditions for WRF-CMAQ in eastern China during 2017.
DOI: 10.5281/zenodo.7932936
title: Chemical initial and boundary conditions for WRF-Chem

description: Chemical initial and boundary conditions for WRF-Chem in eastern China during 2017.
DOI: 10.5281/zenodo.8118239
title: CICE JRA55 gx1 forcing by year. 2020.03.20

description: Breaking the JRA55 forcing into individual years. Note that this version just changes the names of the files to include the string "gx1".