cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.844627
title: Visual Validation of the e-RUSLE Model Applied at the Pan-European Scale

description: Bosco, C., de Rigo, D., Dewitte, O., 2014. <strong>Visual Validation of the e-RUSLE Model Applied at the Pan-European Scale</strong>. <em>Scientific Topics Focus 1</em>, MRI-11a13. Notes Transdiscipl. Model. Env., Maieutike Research Initiative. https://doi.org/10.6084/m9.figshare.844627 <br>PDF: http://purl.org/mtv/STF/pdf/1843225<br>Version: DRAFT 0.4.2<br>This is a preliminary version. Any future version will be accessible from the same DOI code (https://doi.org/10.6084/m9.figshare.844627). The views expressed are those of the authors and may not be regarded as stating an official position of mentioned organisations. <strong>Visual Validation of the e-RUSLE Model Applied at the Pan-European Scale</strong> Claudio Bosco ¹ ² ⁴, Daniele de Rigo ² ³ ⁴ and Olivier Dewitte ⁵ 1 Loughborough University, Department of Civil and Building Engineering,<br>Loughborough, United Kingdom 2 Joint Research Centre of the European Commission,<br>Institute for Environment and Sustainability, Ispra, Italy 3 Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy 4 Maieutike Research Initiative, Milano, Italy 5 Royal Museum for Central Africa, Department of Earth Sciences, Tervuren, Belgium Validating soil erosion estimates at regional or continental scale is still extremely challenging. The common procedures are not technically and financially applicable for large spatial extents, despite this some options are still applicable. For validating the European map of soil erosion by water calculated using the approach proposed in Bosco et al. [1] we applied alternative qualitative methods based on visual evaluation. The 1 km 2 map was validated through a visual and categorical comparison between modelled and observed soil erosion. A procedure employing high-resolution Google Earth images and pictures as validation data is here shown. The resolution of the images, rapidly increased during the last years, allows for a visual qualitative estimation of local soil erosion rates. A cluster of 3x3 K m 2 around 85 selected points was analysed by the authors. The results corroborate the map obtained applying the e-RUSLE model. The 63% of a random sample of 732 grid cells are accurate, 83% at least moderately accurate with a bootstrap p ≤ 0.05). For each of the 85 clusters, the complete details of the validation also containing the comments of the evaluators and the geo-location of the analysed areas have been reported. <br><br>
DOI: 10.15468/dl.vnas5k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is 60804",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001782-250214102907787/datasets/export for details.
DOI: 10.3334/ornldaac/bestpractices-2010
title: Best Practices for Preparing Environmental Data Sets to Share and Archive
DOI: 10.15472/qhsz0p
title: Lista de referencia de especies de aves de Colombia - 2022

description: Presentamos una actualización de la lista de las aves de Colombia con base en registros documentados a partir de septiembre de 2017, siguiendo, por primera vez, criterios estandarizados por el Comité Colombiano de Registros Ornitológicos (CCRO) de la Asociación Colombiana de Ornitología. La lista fue publicada en la revista Ornitología Colombiana (https://asociacioncolombianadeornitologia.org/ojs/index.php/roc/article/view/548/449), y asciende de 1909 a 1966 especies para el territorio continental, insular y las aguas territoriales del país. La mayoría de las adiciones corresponden a especies registradas por primera vez en el territorio colombiano, seguido de especies producto de separaciones taxonómicas y especies exóticas con evidencia de establecimiento en el país. Asimismo, actualizamos el estado de 15 especies con base en evidencia novedosa sobre su presencia espacial y temporal en Colombia. Se resalta la importancia de datos verificables compartidos en plataformas abiertas como aportes de ciencia participativa para la actualización de registros en el país. De acuerdo con esta actualización, Colombia continúa siendo el país con mayor riqueza de especies de aves del planeta.
DOI: 10.1594/pangaea.674441
title: Radiosonde measurements from Neumayer Station (1999-09)
DOI: 10.1594/pangaea.674453
title: Radiosonde measurements from Neumayer Station (2000-09)
DOI: 10.1594/pangaea.778021
title: Physical oceanography during METEOR cruise M77/2

description: This dataset has been updated by https://doi.pangaea.de/10.1594/PANGAEA.887705! Stations have been updated, do not use! Set to login protection April 2018.Expocode = 06M320081125,Version = 0.22 used on 2012/03/20 13:38:55,Release = 3,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 = Ralph Schneider,nc_cruise_leg = 2,nc_chief_scientist = Ralph Schneider,nc_author = Gerd Krahmann,nc_contact = gkrahmann@geomar.de,nc_data_type = station data,nc_source = CTD profile observation,nc_institution = Institute of Geosciences (IfG), University of Kiel,nc_institution_references = http://www.ifg.uni-kiel.de/ ,nc_comment = Salinity and Oxygen data was calibrated with settings from subsequent cruise! Estimated uncertainties for S and O are thus raised. Oxygen values at low levels are biased high,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 = 0.005000,nc_uncertainty_o = 3.000000
DOI: 10.1594/pangaea.820041
title: Stomach content records for pelagic fish (herring, mackerel, blue whiting, albacore and bluefin tuna) in the northeast Atlantic

description: Fish stomach content records extracted from the DAPSTOM 4.5 database (held at the UK Centre for Environment, Fisheries and Aquaculture Science - CEFAS). Data collated as part of the EU Euro-Basin project and specifically concerning herring (Clupea harengus), mackerel (Scomber scombrus), blue whiting (Micromesistius poutassou), albacore (Thunnus alalunga) and bluefin tuna (Thunnus thynnus). The data set consist of 20720 records - collected throughout the northeast Atlantic, between 1906 and 2011 - mostly during routine fisheries monitoring research cruises.
description: Supplement to: Pinnegar, John Keith; Goñi, Nicolas; Trenkel, Verena M; Arrizabalaga, Haritz; Melle, Webjørn; Keating, James; Óskarsson, Guomundur J (2015): A new compilation of stomach content data for commercially important pelagic fish species in the northeast Atlantic. Earth System Science Data, 7(1), 19-28
DOI: 10.1594/pangaea.823677
title: Per-field land use and land cover data set of the Haean catchment, South Korea

description: Detailed data on land use and land cover constitute important information for Earth system models, environmental monitoring and ecosystem services research. Global land cover products are evolving rapidly; however, there is still a lack of information particularly for heterogeneous agricultural landscapes. We censused land use and land cover field by field in the agricultural mosaic catchment Haean in South Korea. We recorded the land cover types with additional information on agricultural practice. In this paper we introduce the data, their collection and the post-processing protocol. Furthermore, because it is important to quantitatively evaluate available land use and land cover products, we compared our data with the MODIS Land Cover Type product (MCD12Q1). During the studied period, a large portion of dry fields was converted to perennial crops. Compared to our data, the forested area was underrepresented and the agricultural area overrepresented in MCD12Q1. In addition, linear landscape elements such as waterbodies were missing in the MODIS product due to its coarse spatial resolution. The data presented here can be useful for earth science and ecosystem services research.
description: International Research Training Group TERRECO funded by the Deutsche Forschungsgemeinschaft (DFG, GRK 1565/1) and the Korea Science and Engineering Foundation (KOSEF) http://www.bayceer.uni-bayreuth.de/terreco/The zip-archive contains the files:HaeanCover_ReadMe.pdf = Readme explaining all files HaeanCover_shapefile.zip = Original LULC survey data for three years (HaeanCover.shp) with QA and additional information included. HaeanCover_IGBP_lookup.xls = A lookup table with respect to the IGBP Land cover system v2.0 HaeanCover_Preview.qgs = Preview and the color map of the HaeanCover (for Quantum GIS) HaeanCover_Legend.xls = Legend of the land cover map LULC name linked with the corresponding land cover details HaeanCover_Preview.jpg = Preview image (LULC classes 2010)HaeanCover_reclassification_rasterisation.R = reclassified land use/land cover data as ESRI shape fileessd-2014-11_Supplement.pdf = Supplement document for the article
description: Supplement to: Seo, Bumsuk; Bogner, Christina; Poppenborg, Patrick; Martin, Emily; Hoffmeister, Mathias; Jun, Mansing; Koellner, Thomas; Reineking, Björn; Shope, Christopher L; Tenhunen, John (2014): Deriving a per-field land use and land cover map in an agricultural mosaic catchment. Earth System Science Data, 6(2), 339-352
DOI: 10.1594/pangaea.826992
title: Stomach content records of albacore (Thunnus alalunga) and bluefin tuna (Thunnus thynnus) in the North Atlantic Drift Region focusing on the Bay of Biscay between 2004 and 2011

description: The tuna stomach database from AZTI-Tecnalia corresponds to 7 years of sampling from 2004 to 2011. Due to the absence of continuity in the different projects dealing with the feeding ecology of tunas, the sampling could not be performed every year for both species, and no sample was collected in 2008. However, the fish stomach content record contents composition - by prey weight - of 1525 albacore caught in the Bay of Biscay and surrounding waters of the North Atlantic Drift Region in 2005 (n=397), 2006 (n=196), 2007 (n=37), 2009 (n=95), 2010 (n=566) and 2011 (n=234) ; and of 686 bluefin tunas caught in the Southeastern Bay of Biscay in 2004 (n=32), 2005 (n=36), 2006 (n=3), 2009 (n=257), 2010 (n=233) and 2011 (n=125). Samples have been obtained from scientific research surveys (using a variety of different fishing gears), from commercial fisheries catches, from individual fish voluntarily sampled by recreational fishermen and from fish accidentally stranded on coastlines. Each predator is identified by an ID and its length and wet weight are given. In case the wet weight could not be measured, it was estimated through a length-weight relationship equation and is indicated in the comment for the Predator mass column. The total weight of each prey is given, as well as the weight of each prey taxonomic group in each stomach.
description: Supplement to: Pinnegar, John Keith; Goñi, Nicolas; Trenkel, Verena M; Arrizabalaga, Haritz; Melle, Webjørn; Keating, James; Óskarsson, Guomundur J (2015): A new compilation of stomach content data for commercially important pelagic fish species in the northeast Atlantic. Earth System Science Data, 7(1), 19-28
DOI: 10.1594/pangaea.974348
title: Geometry, morphology, temperature, salinity and density of ice ridges during the transition period from first-year to second-year measured during GoNorth 2023

description: The GoNorth expedition 2023 was carried out in July - August 2023 in the northern Fram Strait. The geometry, morphology and physical properties of four ridges were investigated during three ice stations by drilling cross-sections with salinity and temperature measurements of the water column and ice-coring. On the first station, one temperature-salinity (TS) core and one density-salinity (DS) core were taken from the ridge together with one salinity (S) core from the level ice. On the second station, two ridges were studied (2.1 and 2.2). Ridge 2.1 had a big void inside of it. Therefore, the TS and DS cores were taken only until the void. The level ice S core was taken regularly. TS and DS cores were taken from ridge 2.2. The same was done at the last station with an additional temperature core from the ridge.
DOI: 10.1594/pangaea.974358
title: Geometry, morphology, temperature, salinity and density of ice ridges during the transition period from first-year to second-year measured during NPI Fram Strait cruise 2024

description: The NPI Fram Strait cruise 2024 was carried out in August 2024. There was not a lot of the ice during the transit across the Fram Strait. Therefore, the possibility for ice stations only occurred around the land fast ice near the east-coast of Greenland. The geometry, morphology and physical properties of two ridges were studied through two ice stations. At the first station, there were two positions for the cross-section (1.1 and 1.2). In location 1.1, the morphology of one hole was studied. Due to the limitation of extensions for a 5 cm (2-inch) Kovacs mechanical drill and time, we moved to the second position with thinner ice. At location 1.2, the temperature-salinity (TS) and thin section – salinity (TTS) cores were taken. On the second station, two parallel transects were done at a distance of 4.5m between each other. The TS and TTS cores were taken on position 2.1 and TS core on position 2.2.
DOI: 10.17909/s236-ac55
title: TESS Data for Analysis
DOI: 10.18462/iir.gl2022.0091
title: Integration of gravity-fed evaporators in CO2 based heat-pump chillers.
DOI: 10.18462/iir.gl2022.0237
title: Experimental investigation on integrated two-stage evaporators for CO2 heat-pump chillers.
DOI: 10.18462/iir.icr.2023.0166
title: Evaluation of various subcooling techniques in an ejector-based CO2 transcritical refrigeration system for hot climate operation.
DOI: 10.18462/iir.icr.2023.0179
title: Performance analysis of a CO2 based milk chiller with evaporative cooling arrangement operating in hot climate.
DOI: 10.21227/4bcp-2z21
title: 1450 fundus images with 899 glaucoma data and 551 normal data.

description: This set contains 1450 fundus images with 899 glaucoma data and 551 normal data.All text about patient information and the date that the associated images were collected are replaced by 0, which is black.
DOI: 10.3334/cdiac/otg.pacifica_ndp092
title: PACIFICA Data Synthesis Project
DOI: 10.3334/cdiac/otg.tsm_k2
title: Hydrographic and CO2 Data Report at Station K2
DOI: 10.3334/ornldaac/daymet_v2
title: Daymet: Daily surface weather on a 1-km grid for North America, 1980 - 2012
DOI: 10.5067/aqua/airs/data301
title: Aqua AIRS Level 3 Standard Daily Product using AIRS and AMSU without HSB V6
DOI: 10.5067/icesat/glas/data210
title: GLAS/ICESat L2 Sea Ice Altimetry Data (HDF5), Version 34
DOI: 10.5067/measures/cryosphere/nsidc-0481.001
title: MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from InSAR, Version 1
DOI: 10.5067/ssmpinyi15uu
title: Lagrangian_Sea_Ice
DOI: 10.5281/zenodo.11383963
title: Specific presynaptic functions require distinct Drosophila Cav2 splice isoforms

description: Original data to the publication
DOI: 10.5281/zenodo.13302007
title: Outputs of the next generation sea ice model (neXtSIM) for winter 2006 - 2007 saved for comparison with RGPS.

description: NeXtSIM was run from 1 December 2006 to 15 April 2007 with the following parameters:

[mesh]filename=small_arctic_10km.msh

[simul]duration=150time_init=2006-11-15timestep=900

[dynamics]compression_factor=13800C_lab=2675000nu0=0.301tan_phi=0.624substeps=90time_relaxation_damage=15use_temperature_dependent_healing=true

[output]exporter_path=/cluster/work/users/akorosov/music/sa10free_mat00output_per_day=4variables=M_VTvariables=Concentrationvariables=Thickness

[setup]atmosphere-type=era5ice-type=topaz_osisaf_icesatocean-type=topazbathymetry-type=etopodynamics-type=bbm

[thermo]diffusivity_sss=0diffusivity_sst=0h_young_max=0.3newice_type=1hnull=0.5

[debugging]check_fields_fast=false

The outputs (binary snapshots at every 3 hours) were then merged with RGPS data from the same period using this notebook:

https://github.com/nansencenter/music_nextsim_tuning_paper/blob/main/02_process_nextsim.ipynb
DOI: 10.5281/zenodo.14002611
title: Gaussian16 data for "Dynamic electronic structure fluctuations in the de novo peptide ACC-dimer revealed by first-principles theory and machine learning"

description: This is the Gaussian 16 input and corresponding output, which was used as input into the machine learning presented in the paper titled "Dynamic electronic structure fluctuations in the de novo peptide ACC-dimer revealed by first-principles theory and machine learning". This upload is required before submission of the paper.The 1001 and 100 snapshots from different extractions are preserved in separated directories. Each snapshot directory *_snapshot has the initial GROMACS snapshot test_*.pdb , the geometry after truncating the solvation shell in various formats, the Gaussian16 input, qsub input and the output directory *.1 with a JobID number assigned by qsub. The output directory has the standard output from Gaussian in a .log file and greped output from the .fchk  file in *.out .
DOI: 10.5281/zenodo.14695234
title: Microseismic Event Catalog and 3-D P-Wave Velocity Model for San Emidio, Nevada 2022

description: Microseismic event catalog and 3-D P-wave velocity (Vp) model at San Emidio, Nevada, developed using seismic data collected from San Emidio from April to May 2022 as part of the WHOLESCALE project.

 

SanEmidio_2022MicroseismicEventCatalog.csv:

This is seismic event catalog, including following fields: Origin Time: In UTC    Magnitude: coda duration magnitude. "NaN" signifies not a number.    Latitude: Relocated latitude in decimal degrees on WGS84Longitude: Relocated longitude in decimal degrees on WGS84E(m): UTM zone 11 easting in meters N(m): UTM zone 11 northing in metersH(m): Elevation above sea level (geoid) in metersUncertainty_E(m): uncertainty in meters of estimated location in easting Uncertainty_N(m): uncertainty in meters of estimated location in northing Uncertainty_H(m): uncertainty in meters of estimated location in elevation

 

SanEmidio_2022Vpmodel.csv:

This is 3-D tomographic Vp model, including location (latitude, longitude, E, N, H) and velocity (Vp) values at each tomographic node. The last column represents the model resolvability, estimated from the checkerboard resolution test. Regions with resolvability values above 0.7 are considered well-resolved.

 

Details on the development of the event catalog and Vp model are provided in a manuscript by Hao Guo et al., titled “Microseismicity Modulation Due to Changes in Geothermal Production at San Emidio, Nevada, USA,” which is currently under revision at Geophysical Research Letters.
DOI: 10.5281/zenodo.14770956
title: MOM4p1-TOPAZ data used in the manuscript entitled "On Mode Water formation and erosion in the Arabian Sea: Forcing mechanisms, regionality, and seasonality".

description: MOM4p1-TOPAZ data used in the analysis in the manuscript entitled "On Mode Water formation and erosion in the Arabian Sea: Forcing mechanisms, regionality, and seasonality".

The data file contains potential temperature, salinity, and oxygen data from the model run between 2000-2022, 0.25x0.25 degree resolution, of the upper 250m in the Arabian Sea (0-30 N, 35-80 E). The file also contains conservative temperature, absolute salinity, and potential density derived using the GSW toolbox (McDougall et al., 2011).

 

 

Refereneces

McDougall, T.J. and P.M. Barker, 2011: Getting started with TEOS-10 and the Gibbs Seawater (GSW) Oceanographic Toolbox, 28pp., SCOR/IAPSO WG127, ISBN 978-0-646-55621-5.

 

Acknowledgements: The MOM4p1-TOPAZ runs were carried out on the Param Pravega supercomputer at SERC, Indian Institute of Science, Bengaluru. Thanks to GFDL for providing the source code of the coupled physical–ecosystem model (MOM4P1-TOPAZ). The authors thank P. Neema for subsetting the MOM4p1-TOPAZ dataset.
DOI: 10.5285/d0e1585d-3417-485f-87ae-4fcecf10a992
title: CRU TS3.21: Climatic Research Unit (CRU) Time-Series (TS) Version 3.21 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901 - Dec. 2012)

description: Climatic Research Unit (CRU) TS (time-series) datasets are month-by-month variations in climate over the last century or so. These are calculated on high-resolution (0.5x0.5 degree) grids, which are based on an archive of monthly average daily maximum and minimum temperatures provided by more than 4000 weather stations distributed around the world. They allow variations in climate to be studied. CRU TS 3.21 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and wet day frequency for the period Jan. 1901 - Dec. 2012. In addition to updating the dataset with 2012 data, the v3.21 release corrects two errors in the v3.20 dataset.
DOI: 10.5517/ccdc.csd.cc280cb0
title: CCDC 2085721: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Mareen Stahlberger, Stefan Bräse|2021|CSD Communication|||
DOI: 10.5676/dwd_gpcc/fd_m_v6_100
title: GPCC Full Data Reanalysis Version 6.0 at 1.0°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data
title: Gridded Monthly Totals

description: This is the centennial GPCC Full Data Reanalysis of monthly global land-surface precipitation based on the 67,000 stations world-wide that feature record durations of 10 years or longer. This product contains the monthly totals on a regular grid with a spatial resolution of 1.0° x 1.0° latitude by longitude. Precipitation anomalies at the stations are interpolated and then superimposed on the GPCC Climatology V2015 in the corresponding resolution (DOI: 10.5676/DWD_GPCC/CLIM_M_V2011_100). The temporal coverage of the dataset ranges from January 1901 until December 2010. The GPCC Full Data Reanalysis is the most accurate in situ precipitation reanalysis data set of GPCC. Moreover it supports regional climate monitoring, model validation, climate variability analysis and water resources assessment studies.
description: General user recommendations: Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products: GPCC Climatology 1951-2000 (GPCC_CLIM) with high representativeness, for application as a reference, and for utilization of the anomaly interpolation method. GPCC Full Data Reanalysis (GPCC_FD) with high accuracy, for, e.g., verification of models, or for analysis of historic global precipitation, or for research concerning the global water cycle, e.g., trend and teleconnection analyses. GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting. GPCC First Guess Product (GPCC_FG) with high timeliness, to be applied for, e.g., drought monitoring.
DOI: 10.6084/m9.figshare.26731984.v1
title: Paleomidden Ages Data

description: This folder contains the datasets for the ages of all reported middens.There are four datasets split into different geographic regions.North America - middens.dbChile - chile_middensPeru - peru_middensArgentina and Bolivia - ar_bo_middens