cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3538008
title: CrowdWater game training study

description: This data is connected to the CrowdWater project (www.crowdwater.ch), initiated through the Hydrology and Climate group at the University of Zurich. The content of these files is based on the CrowdWater game training study, which was conducted by the authors. A publication with the results of this study will be submitted within the next few days. The questions of the study are shown in the pdf file and the answers are shown in the csv file. Column name explanations: - "SG1" / "SG2" stands for staff gauge placement one / two (before and after the training respectively) - "ref_x" stands for the number x of the 60 reference pictures, that were assessed by the participants for the rating score - "first_refs" / "second_refs" stands for the rating of reference pictures before and after the training respectively - "SG1_ref_pic_id" / "SG2_ref_pic_id" - refers to the stream pictures (shown in the supplementary material of the soon to be submitted paper) - "SG1_suit_pic" / "SG1_suit_sg" / "SG1_size_cat" / "SG1_size" / "SG1_location" / "SG1_angle" / "SG1_line0" / "SG1_2sgs" refers to the individual assessment criteria for the placement score. Further explanation can be found in the methods section of the paper. The same applies for "SG2_..." and "app_..." - "SG1_sum" / "SG2_sum" refers to the summed up placement score, that consists of the individual assessment criteria described above. - "game_score" refers to the training score - "SG1_confidence_nr" / "SG1_confidence_simplified" refers to the self-assessed confidence of the user, once in numeric terms and once in words. The same applies for "SG2_confidence_...", "first_refs_confidence_..." and "second_refs_confidence_..."
DOI: 10.5281/zenodo.4543233
title: A mapping file for the EAMv1 simulation output

description: A mapping file for the EAMv1 simulation output used in the GMD paper entitled "Effects of Coupling a Stochastic Convective Parameterization with Zhang-McFarlane Scheme on Precipitation Simulation in the DOE E3SMv1.0 Atmosphere Model".
DOI: 10.5281/zenodo.8384307
title: Files for 'Phage-bacteria dynamics during the first years of life revealed by trans-kingdom marker gene analysis'

description: The archive contains most of the files that were used to generate the figures for "Phage-bacteria dynamics during the first years of life revealed by trans-kingdom marker gene analysis". There are metadata files for which I have not yet been given permission to share, but I hope to update this repository with those files soon. For code, see: https://github.com/mtisza1/teddy_vir_bac_marker_gene
DOI: 10.5285/58a8802721c94c66ae45c3baa4d814d0
title: CRU TS4.01: Climatic Research Unit (CRU) Time-Series (TS) version 4.01 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2016)

description: The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.01 data are month-by-month variations in climate over the period 1901-2016, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.

The CRU TS4.01 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2016.

The CRU TS4.01 data were produced using angular-distance weighting (ADW) interpolation. All version 3 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. CRU TS4.01 is a full release, differing only in methodology from the parallel release, v3.25. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3.

The CRU TS4.01 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation.

All CRU TS output files are actual values - NOT anomalies.
DOI: 10.5439/1523254
title: TSI composite images merged cloud fraction product for shallow cumulus cases (tsiQLtable)

description: This data product provides a visual "quicklook" at passive (total sky imager--TSI) and active (ceilometer--CEIL, micropulse lidar--MPL, millimeter wave cloud radar--MMCR, Ka ARM Zenith Radar--KAZR) observations of cloud amount obtained from TSI images at at the ARM SGP Central Facility site during times with shallow cumulus clouds. A full description of the data and methods can be found in Riley et al. (2019).
DOI: 10.5519/0066354
title: The 2016 release of the PREDICTS database [SUPERSEDED]

description: __IMPORTANT NOTICE: THIS VERSION OF THE DATABASE HAS BEEN SUPERSEDED__ Data review in 2021-2023 has resulted in some changes and additions to the database. The new version (version 1.1), is available for non-commercial use [https://data.nhm.ac.uk/dataset/the-2016-release-of-the-predicts-database-v1-1]. A dataset of 3,250,404 measurements, collated from 26,114 sampling locations in 94 countries and representing 47,044 species. The data were collated from 480 existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database was assembled as part of the [PREDICTS project](https://www.nhm.ac.uk/our-science/our-work/biodiversity/predicts.html) - Projecting Responses of Ecological Diversity In Changing Terrestrial Systems. The taxonomic identifications provided in the original data sets are those determined at the time of the original research, and so will not reflect subsequent taxonomic changes. This dataset is described in [10.1002/ece3.2579](http://dx.doi.org/10.1002/ece3.2579). A description of the way that this dataset was assembled is given in [10.1002/ece3.1303](http://dx.doi.org/10.1002/ece3.1303). * `columns.csv`: Description of data extract columns * `database.zip`: Database in zipped CSV format * `database.rds`: Database in RDS format * `sites.zip`: Site-level summaries in compressed CSV format * `sites.rds`: Site-level summaries in RDS format * `references.csv`: Data references in CSV format * `references.bib`: Data references in BibTeX format
DOI: 10.60533/boss-2024-ekc7
title: Volume electron microscopy to analyze the microanatomical features of synapses in all layers of the Medial Entorhinal Cortex  from the human brain
DOI: 10.6069/mjnd-3671
title: Global Fertility, Mortality, Migration, and Population Forecasts 2017-2100

description: IHME researchers forecasted population from 2018 to 2100 for 195 countries and territories. They produced these using estimates from the Global Burden of Disease Study (GBD) 2017 and and forecasts for fertility, migration, and mortality rates. This dataset includes the following: past estimates for population and deaths; forecasts for population, deaths, life expectancy, live births, total fertility rate (TFR), and migration; and annual life tables for 2018-2100. The projections for population, deaths, life expectancy, live births, total fertility rate (TFR) each include a reference scenario as well as four alternative scenarios that reflect faster or slower trajectories for two key drivers of fertility rates: education of females and access to modern reproductive health services, measured using contraceptive met need.
DOI: 10.6084/m9.figshare.12933905
title: S.DB.4| ANME‏2‏d Multiheme c-type cytochromes (MHC)sequences used as a query for BLASTing ‎against Lake Kinneret sediment metagenome. ‎

description: ANME2d Multiheme c-type cytochromes (MHC)sequences used as a query for BLASTing against Lake Kinneret sediment metagenome.
DOI: 10.7289/v5bz642p
title: NOAA Climate Data Record (CDR) of AVHRR Daily and Monthly Aerosol Optical Thickness (AOT) over Global Oceans, Version 3.0 (Version Superseded)

description: *Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version.* The product is the aerosol optical thickness (AOT) at 0.63 micron, which is retrieved from NOAA PATMOS-x level-2B orbital radinace and cloud CDR products. The retrieval is performed for selected spatial (0.1 by 0.1 degree) and temporal (1 time per day per satellite) resolution in cloud free condition during daytime. The final product is daily averaged from all satellite retrivals and in a 0.1 by 0.1 degree equal angle grid (total 1800x3600 grids over the globe). Due to the relatively large uncertainties associated with surface reflectance over water glint area and land surface as well as limited AVHRR retrieval channels, the current algorithm only performs retrieval over none-glint water surface (specifically at the anti-solar side of the orbit and viewing angle is larger than 40 degree away from the specular ray). The final CDR AOT products include daily and monthly products
DOI: 10.7298/wedj-jv65
title: Atmospheric mean mineral aerosol abundance and direct radiative effect by dust for models and cases described in Li et al. (2020)
DOI: 10.7916/d8pg249h
title: The Subseasonal Experiment (SubX)

description: The subseasonal experiment (SubX) is a multi-model subseasonal prediction experiment.  Seven global models are producing seventeen years of retrospective (re-) forecasts and one year of weekly real-time forecasts.  Re-forecasts follow the SubX protocol that requires the years 1999-2015, at least three ensemble members, a minimum of weekly initialization, and at least 32-days in length. All data are output on a 1deg x 1deg grid.  The re-forecasts are archived at the IRI Data Library for research on subseasonal predictability and predictions. The real-time forecasts are produced weekly, beginning July 7, 2017.  Each modeling group provides their forecasts, following the same protocol as the re-forecasts, to the NOAA/NWS/NCEP/Climate Prediction Center as guidance for their week 3-4 temperature and precipitation outlooks.  These real-time forecasts are archived for public use at the IRI Data Library.
DOI: 10.14284/312
title: Maritime Boundaries Geodatabase: Maritime Boundaries and Exclusive Economic Zones (200NM), version 10. Available online at https://www.marineregions.org/
DOI: 10.1594/pangaea.777907
title: Physical oceanography during METEOR cruise M77/4

description: Version = 0.22 used on 2012/03/12 12:31:08,Release = 7,Castpart = down, nc_data_set_type = ctd,nc_ext = ctd,nc_title = IFM-GEOMAR PO-processed CTD data,nc_ship_name = FS Meteor III,nc_pi_name = Lothar Stramma,nc_cruise_leg = 4,nc_chief_scientist = Lothar Stramma,nc_author = Gerd Krahmann,nc_contact = gkrahmann@geomar.de,nc_data_type = station data,nc_source = CTD profile observation,nc_institution = GEOMAR, Kiel,nc_institution_references = http://www.geomar.de/,nc_comment = Low Oxygen values are likely too high by 1 to 2 mumol/kg, higher values are ok. Near surface S values are problematic because of biology. One negative oxygen value in profile 001 appears to be caused by an overshoot of Seabirds oxygen hysteresis correction in extremely strong vertical oxygen gradients,nc_references = ,nc_history = created during CTD processing,nc_cdm_data_type = Station,nc_quality_control_indicator = 5,nc_quality_index = A,nc_project = SFB754,nc_uncertainty_p = 2.000000,nc_uncertainty_t = 0.002000,nc_uncertainty_s = 0.002000,nc_uncertainty_o = 1.000000,Comment = Fluorescence offset is 0.048 (subtract this from the values to remove deck offset)
DOI: 10.1594/pangaea.793154
title: Hydrochemistry during METEOR cruise M77/3
DOI: 10.1594/pangaea.858090
title: Physical oceanography during METEOR cruise M91

description: Low Oxygen values are likely too high by 1 to 2 µmol/kg, higher values are ok. Near surface S values are problematic because of biology. A few negative oxygen values appear to be caused by an overshoot of Seabirds oxygen hysteresis correction in extremely strong vertical oxygen gradients. PAR with BadValue or NaN might need replacement by 0Fluorescence and Turbidity data still contain deck offsets. Use with caution.nc_uncertainty_p = 2.000000nc_uncertainty_t = 0.002000nc_uncertainty_s = 0.002000nc_uncertainty_o = 1.000000
DOI: 10.1594/pangaea.872082
title: Stable oxygen isotopic record of foraminifera from IODP Site 339-U1385
DOI: 10.1594/pangaea.892841
title: Reconstructed main atmospheric circulation modes during winter in the North Atlantic region covering 1241-1970 CE, based on Greenland ice cores and an isotope enabled climate model simulation

description: This dataset contains the time series (1241-1970 CE) of the first two principal components (PCs) of reconstructed winter (DJF) Sea Level Pressure (SLP) in the North Atlantic region (20-70N, 90W-40E). The SLP is reconstructed by matching modeled d18O patterns from an isotope enabled climate model simulation to the spatio-temporal variability of the winter d18O from Greenland ice cores, and extracting the model SLP from an ensemble of the best matching years. PC1 of reconstructed SLP corresponds to the North Atlantic Oscillation, and PC2 of reconstructed SLP corresponds to the Eastern Atlantic pattern. Both time series are normalized and centred. The sign of the data series is as shown in Figure 2 of Sjolte et al. (2018) with the corresponding spatial patterns shown in Supplementary Figure S3. For example, positive values of PC1 means positive NAO, while positive values of PC2 means negative pressure anomalies south of Greenland.
description: Supplement to: Sjolte, Jesper; Sturm, Christophe; Adolphi, Florian; Vinther, Bo Møllesøe; Werner, Martin; Lohmann, Gerrit; Muscheler, Raimund (2018): Solar and volcanic forcing of North Atlantic climate inferred from a process-based reconstruction. Climate of the Past, 14(8), 1179-1194
DOI: 10.1594/pangaea.921295
title: Hourly Particle Number Size Distribution (PNSD) measurements at Melpitz (2008)

description: One year of hourly Particle Number Size Distribution (PNSD) measurements at three different location with different air masses. Different kinds of Mobility Particle Size Spectrometers, MPSS has been used for the measurements.---Melpitz (2008), Central European background,Neo (2012), Clean Remote backgroundZeppelin (2010), Marine background---Melpitz: Lat 51.53 deg, Long 12.93 degNeo: Lat 36.83 deg, long 21.70 degZeppelin: lat 78.90, long 11.86 deg
DOI: 10.1594/pangaea.921296
title: Hourly Particle Number Size Distribution (PNSD) measurements at Zeppelin (2010)

description: One year of hourly Particle Number Size Distribution (PNSD) measurements at three different location with different air masses. Different kinds of Mobility Particle Size Spectrometers, MPSS has been used for the measurements.---Melpitz (2008), Central European background,Neo (2012), Clean Remote backgroundZeppelin (2010), Marine background---Melpitz: Lat 51.53 deg, Long 12.93 degNeo: Lat 36.83 deg, long 21.70 degZeppelin: lat 78.90, long 11.86 deg
DOI: 10.1594/pangaea.973226
title: Basic and other measurements of radiation at station Syowa (2024-04)
DOI: 10.18140/flx/1440129
title: FLUXNET2015 BE-Lon Lonzee

description: This is the FLUXNET2015 version of the carbon flux data for the site BE-Lon Lonzee.
DOI: 10.18140/flx/1440177
title: FLUXNET2015 NL-Hor Horstermeer

description: This is the FLUXNET2015 version of the carbon flux data for the site NL-Hor Horstermeer.
DOI: 10.21944/temis-uv-oper-v2
title: TEMIS UV index and UV dose operational data products, version 2

description: The TEMIS UV index and UV dose data are computed from the assimilated global ozone field at local solar noon, i.e. at the moment the Sun is highest in the sky, which in case of the UV dose is combined with the daily variation of the position of the Sun above the horizon. The UV data products are made for specific action spectra: erythemal UV index, erythemal UV dose, vitamin-D UV dose, dna-damage UV dose. The assimilated ozone data is the TEMIS operational ozone data assimilation that started in July 2002 and uses satellite ozone data from SCIAMACHY (2002/07/01 - 2012/03/31), GOME-2A (2012/04/01 - 2019/03/20) and GOME-2B (2019/03/21 - present). Clear-sky UV index and clear-sky UV dose data covers the whole world. Cloud-modified UV dose data covers the part of the world observed by the geostationary Meteosat Second Generation (MSG) satellites. For more information, see http://www.temis.nl/uvradiation/product/
DOI: 10.24381/cds.ce973f02
title: Synthetic windstorm events for Europe from 1986 to 2011
DOI: 10.24381/cds.f333cf85
title: Fire burned area from 2001 to present derived from satellite observations
DOI: 10.3886/icpsr08357.v1
title: Armed Criminals in America: A Survey of Incarcerated Felons, 1983
title: Version 1

description: The data for this study were collected using self-administered questionnaires given to a nonprobability sample of incarcerated felons in ten states. Information in the data include socioeconomic status of the inmate, prior criminal record, drug use, weapon usage, family history, and demographic information.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes..
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: Data File 
 DS2: SAS Data Definition Statements
DOI: 10.5067/l0jgcnvbnrax
title: GLDAS Noah Land Surface Model L4 3 hourly 1.0 x 1.0 degree, Version 2.0
DOI: 10.5281/zenodo.13308665
title: APOGEE-Kepler Catalog SDSS Internal Version

description: This represents the publication of the SDSS internal version of the APOGEE-Kepler Catalog (v.7.4.0, August 2024), previous versions of which have been available to SDSS-IV collaboration members on the internal wiki page https://trac.sdss.org/wiki/APOGEE2/APOKASC/Catalog and have been used for a variety of projects. It has been designed to include all stars in the Kepler field which had APOGEE spectra at the end of SDSS-IV (DR17) and as such is not limited to giants or seismic oscillators. For giant oscillators, this catalog contains a subset of the information available in all of the tables available with the journal edition of the APOKASC-3 catalog (Pinsonneault et al., 2024), as well as some additional information including matches to external datasets that may be of interest. This table also contains some historical information, previous versions of some values, and so forth that were used for comparison and validation. The header_APOKASC_cat_v7.4.0.txt file contains a list of the available columns as well as some descriptions of where the values are from. These values represent effort from a variety of people including those involved in the APOKASC collaboration as well as related individual efforts and anyone using this data is strongly encouraged to cite the original published version. In all cases where the values in this file and the values in the journal disagree, the journal values should be viewed as the correct version of record. The fits and ascii versions of the APOKASC catalog are the same, and both are provided for ease of use.
DOI: 10.5281/zenodo.13622535
title: Trajectories of a magnetic sphere in a shaken three-dimensional granular bed under low gravity

description: Our study utilizes the advanced magnetic particle tracking method to precisely track the movement of an intruder within a vibration-driven granular medium in a centrifuge aboard the Chinese Space Station. We conducted experiments under six distinct low-gravity environments, capturing and analyzing trajectories across various vibration modes. In addition to detailed accounts of the data collection and processing algorithms, we make the raw magnetic field data, processing scripts, and visualization tools publicly accessible. This openness facilitates further research in granular medium under reduced gravity.
DOI: 10.5281/zenodo.14063969
title: Code and data for: Human pressures threaten diet specialized mammal communities

description: Environmental change is increasing worldwide, and many animal species face anthropogenic threats, especially diet specialists. Yet the degree to which specialist species are currently impacted by environmental change remains poorly understood. Here, we examine how anthropogenic pressures impact dietary specialist species. To achieve this, we calculated an index of diet specialization for the majority of mammal species, based on the Gini inequality coefficient focused on all different dietary items and combined these indices with human footprint data. We used spatially explicit tests to compare the global pattern of mammal diet specialization based on Mantel statistics and a generalized linear mixed model to assess the variations in the percentage of diet specialist species in mammal communities regarding the total species richness, mean values of the human footprint, and the interaction between protected or non-protected areas and the continent. These analyses revealed global patterns in human pressure and its potential impacts on dietary specialist mammal species. We found that areas with many diet specialists in mammal communities are also impacted by high human pressure. Additionally, we found that the global protected area system adequately covers habitat for many mammal diet specialists, but has lower effectiveness in South America, Oceania, North America and Europe compared with Africa and Asia. Finally, we identified potential reservoirs for specialist species – places that contain many highly diet-specialist species and are subject to less human pressure – which may be important for conservation efforts. Our findings highlight limitations with existing conservation efforts and underscore the importance of conserving specialist species.
DOI: 10.5281/zenodo.14610013
title: Can the Mann model describe the typhoon turbulence: WRF-namelists

description: This repository includes the namelists required to replicate the WRF (V4.51) simulations examined in the study `Can the Mann Model Describe Typhoon Turbulence?`
DOI: 10.5281/zenodo.14755340
title: Air quality crop damage US (Beerling et al 2025, nature)

description: Air quality crop damage US (Fig. 4)
DOI: 10.5281/zenodo.14772699
title: Improving Exchange-Correlation Potentials of Standard Density Functionals with the Optimized-Effective-Potential Method for Higher Accuracy of Excitation Energies

description: Data for publication in Journal of Chemical Theory and Computation
DOI: 10.5281/zenodo.14780288
title: Dataset of: Biochar reduces early-stage mineralization rates of plant residues more in coarse than fine-texture soils – an artificial soil approach.
DOI: 10.5281/zenodo.3343043
title: Supporting Model Code and Output for https://doi.org/10.5194/gmd-2019-78, 2019

description: Model code and timeseries output for Travis et al. 2019 (GMD) https://doi.org/10.5194/gmd-2019-78, 2019.
DOI: 10.5281/zenodo.3478346
title: WESgraph database exports: Initial release

description: WESgraph database exports