cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14208551.v4
title: S1 Table. Sampling stations from the oceanographic cruise at SEAL (Sergipe-Alagoas) sedimentary basin, carried out in May 2014 on board the Research Vessel Seward Johnson.

description: Raw data for the manuscript "Inventory of water masses and carbonate system from Brazilian’s northeast coast: monitoring ocean acidification".
DOI: 10.23687/55438acb-aa67-407a-9fdb-1cb21eb24e28
title: Canadian Weather Year for Energy Calculation (CWEC)
title: Fichiers météorologiques canadiens pour le calcul énergétique (FMCCE)

description: 564 datasets of Typical Meteorological Years (TMY) created by joining twelve Typical Meteorological Months selected from a database of up to 20 years of CWEEDS hourly data. The months are chosen by statistically comparing individual monthly means with long-term monthly means for daily total global solar irradiance, mean, minimum and maximum dry bulb temperature, mean, minimum and maximum dew point temperature, and mean and maximum wind speed. These hourly datasets are used by the engineering and scientific community mainly as inputs for solar system design and analysis and building energy systems analysis tools.

Refer to Data Resources below for additional information on the TMY file format.
description: 564 ensembles de données « d'Années Météorologiques Typiques (TMY) » créées en joignant douze « Mois Météorologiques Typiques sélectionnés à partir d'une base de données contenant jusqu'à 20 ans de données horaires (FMCEG). Les mois sont choisis en comparant statistiquement les moyennes mensuelles individuelles avec les moyennes mensuelles à long terme pour l'irradiation solaire totale globale quotidienne, la température moyenne, minimales et maximales au thermomètre sec, la température moyenne, minimale et maximale du point de rosée et la vitesse moyenne et maximale du vent. Ces ensembles de données horaires sont utilisés par la communauté scientifique et technique principalement comme données d'entrée pour la conception et l'analyse des systèmes solaires et les outils d'analyse des systèmes énergétiques des bâtiments.

Referez-vous aux ressources de données ci-dessous pour plus d'informations sur le format de fichier FMCEG.
DOI: 10.6084/m9.figshare.19803553
title: soil microbial amino sugar

description: Soil microbial necromass and phospholipid fatty acids under plant invasion along China's coast.
DOI: 10.6084/m9.figshare.19803553.v1
title: soil microbial amino sugar

description: Soil microbial necromass and phospholipid fatty acids under plant invasion along China's coast.
DOI: 10.23687/005494f2-1848-48d5-abe4-a76a7846f035
title: Canadian Weather Energy and Engineering Datasets (CWEEDS)
title: Fichiers météorologiques canadiens pour l'énergie et le génie (FMCEG)

description: 564 datasets of hourly meteorological data for all of Canada from various periods (1998 to 2017). The values of the records for solar irradiance are primarily based on satellite-derived solar estimates. This dataset has been updated with the most recent changes made in July 2020. The solar values in these files are based on a 10 km grid spacing for Canada South of 58° N, and at a 100 km grid spacing for North of 58° N.

Refer to Data Resources below for additional information on the CWEEDS file format.
description: 564 ensembles de données météorologiques horaires pour tout le Canada correspondent à diverses périodes (1998 à 2017). Les valeurs des mesures de l'irradiance solaire sont principalement basées sur des estimés solaires dérivées des données satellitaires. Cet ensemble de données a été mis à jour avec les modifications apportées en juillet 2020. Les valeurs solaires de ces fichiers sont basées sur une grille de 10 km pour le Canada au sud de 58° N et sur une grille de 100 km au nord de 58° N.

Referez-vous aux ressources de données ci-dessous pour plus d'informations sur le format de fichier FMCEG.
DOI: 10.5281/zenodo.6566791
title: Temporal changes in the Swiss flora – implications for flower-visiting insects

description: <strong>Table S1:</strong> Flower visitor groups and self-compatibility for the species found in the Biodiversity Monitoring Program of Switzerland.
DOI: 10.5281/zenodo.6566790
title: Temporal changes in the Swiss flora – implications for flower-visiting insects

description: <strong>Table S1:</strong> Flower visitor groups and self-compatibility for the species found in the Biodiversity Monitoring Program of Switzerland.
DOI: 10.34740/kaggle/dsv/3668700
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.6566835
title: Temporal changes in the Swiss flora – implications for flower-visiting insects

description: <strong>Table S2:</strong> Species observations on the 448 transects of the Biodiversity Monitoring Program of Switzerland and their relative frequencies.
DOI: 10.5281/zenodo.6566834
title: Temporal changes in the Swiss flora – implications for flower-visiting insects

description: <strong>Table S2:</strong> Species observations on the 448 transects of the Biodiversity Monitoring Program of Switzerland and their relative frequencies.
DOI: 10.6084/m9.figshare.19699813.v5
title: Coming Soon

description: 3D Vp model
DOI: 10.6084/m9.figshare.14208572
title: S2 Table. Dataset for the manuscript "Inventory of water masses and carbonate system from Brazilian’s northeast coast: monitoring ocean acidification".

description: Dataset for the manuscript "Inventory of water masses and carbonate system from Brazilian’s northeast coast: monitoring ocean acidification". ID Number = is the identification number of the sample, it is related to the sampling samples. Group = is the number of samples (n) per water mass. psu = is the practical salinity unit; S% = is the absolute salinity; (A) = analyzed values and (C) = calculated values. Latitude and Longitude are the geographic positions (Geographical coordinates in decimal degrees, Datum SIRGAS 2000).
DOI: 10.6084/m9.figshare.14208572.v3
title: S2 Table. Dataset for the manuscript "Inventory of water masses and carbonate system from Brazilian’s northeast coast: monitoring ocean acidification".

description: Dataset for the manuscript "Inventory of water masses and carbonate system from Brazilian’s northeast coast: monitoring ocean acidification". ID Number = is the identification number of the sample, it is related to the sampling samples. Group = is the number of samples (n) per water mass. psu = is the practical salinity unit; S% = is the absolute salinity; (A) = analyzed values and (C) = calculated values. Latitude and Longitude are the geographic positions (Geographical coordinates in decimal degrees, Datum SIRGAS 2000).
DOI: 10.6084/m9.figshare.14208572.v2
title: S2 Table. Statistica dataset for the manuscript "Inventory of water masses and carbonate system from Brazilian’s northeast coast: monitoring ocean acidification". ID Number = is the identification number of the sample, it is related to the sampling station. Group = is the number of samples (n) per water mass. psu = is the practical salinity unit; S% = is the absolute salinity; (A) = analyzed values and (C) = calculated values.

description: Statistica dataset for the manuscript "Inventory of water masses and carbonate system from Brazilian’s northeast coast: monitoring ocean acidification".
DOI: 10.5517/ccdc.csd.cc21mt3m
title: CCDC 1895870: Experimental Crystal Structure Determination

description: Related Article: Qing Han, Zhong Li, Xiangming Liang, Yong Ding, Shou-Tian Zheng|2019|Inorg.Chem.|58|12534|doi:10.1021/acs.inorgchem.9b02236
DOI: 10.5281/zenodo.6566804
title: PKR-CAL detector, PbWO4 crystals characterization measurements

description: This dataset contains the data from the different characterization measurements of the PbWO4 crystals for the POKER PKR-CAL detector. Specifically, ten PbWO4 crystals from CRYTUR company were characterized, to assess their properties and determine the technical requirements for the samples to be used in the final detector. The size of the crystals is 20x20x250 mm3. The file "LongitudinalTransmission.tar" reports the longitudinal transparency measurements performed at the CERN Crystals Laboratory, with a custom spectrophotometer. The spectrophotometer light beam is not polarized, and the crystal optical axis is aligned perpendicularly to the small crystal face where the beam is impinging on. The file format is "%f %f", where the fist column reports the wavelength (in nm) and the second the optical transparency (in %). The name of each file reports the unique identifier of the crystal it refers to. The file "TransverseTransmission.tar" contains the transverse transparency measurements performed at the Giessen University, using a Hitachi spectrophotometer. The spectrophotometer light beam is not polarized. The light beam has a transverse size (diameter) of about 0.5 cm. For each crystal, the transparency was measured at different positions along the crystal axis. The crystal was aligned so that the Z direction was perpendicular to the growing axis. Each file name is in the format "ID_POS_beforeIrradiation.dat", where "ID" is the unique crystal identifier provided by the manufacture, "POS" is the position along the axis where the measurement was taken (in units of 100 um). The file format is "%f %f", where the fist column reports the wavelenght (in nm) and the second the optical transparency (in %). The file "LightYield.tar" contains the light yield measurements performed at the CERN crystals laboratory, using the "B3" facility. This is based on a setup where an XP2020 PMT is optically coupled to a crystal, and a 60Co source is used to excite the crystal and measure the corresponding light emission. Signals from the XP2020 PMT where acquired and processed with a digital oscilloscope (Lecroy WaveRunner). In the folder, the files "outID.txt", with "ID" being the measured crystal, contain the integrated spectrum from the measurement. The ROOT macro "ana_crs.cpp" can be used to processe these files. The two data-files "single1.txt" and "single2.txt" contains the measurements performed without the radioactive source, in order to normalize the spectra to single-phe units. This dataset was scrutinized as part of the PKR-CAL crystals R&D, and the obtained results are reported in the PKR-CAL TDR document.
DOI: 10.5281/zenodo.6566803
title: PKR-CAL detector, PbWO4 crystals characterization measurements

description: This dataset contains the data from the different characterization measurements of the PbWO4 crystals for the POKER PKR-CAL detector. Specifically, ten PbWO4 crystals from CRYTUR company were characterized, to assess their properties and determine the technical requirements for the samples to be used in the final detector. The size of the crystals is 20x20x250 mm3. The file "LongitudinalTransmission.tar" reports the longitudinal transparency measurements performed at the CERN Crystals Laboratory, with a custom spectrophotometer. The spectrophotometer light beam is not polarized, and the crystal optical axis is aligned perpendicularly to the small crystal face where the beam is impinging on. The file format is "%f %f", where the fist column reports the wavelength (in nm) and the second the optical transparency (in %). The name of each file reports the unique identifier of the crystal it refers to. The file "TransverseTransmission.tar" contains the transverse transparency measurements performed at the Giessen University, using a Hitachi spectrophotometer. The spectrophotometer light beam is not polarized. The light beam has a transverse size (diameter) of about 0.5 cm. For each crystal, the transparency was measured at different positions along the crystal axis. The crystal was aligned so that the Z direction was perpendicular to the growing axis. Each file name is in the format "ID_POS_beforeIrradiation.dat", where "ID" is the unique crystal identifier provided by the manufacture, "POS" is the position along the axis where the measurement was taken (in units of 100 um). The file format is "%f %f", where the fist column reports the wavelenght (in nm) and the second the optical transparency (in %). The file "LightYield.tar" contains the light yield measurements performed at the CERN crystals laboratory, using the "B3" facility. This is based on a setup where an XP2020 PMT is optically coupled to a crystal, and a 60Co source is used to excite the crystal and measure the corresponding light emission. Signals from the XP2020 PMT where acquired and processed with a digital oscilloscope (Lecroy WaveRunner). In the folder, the files "outID.txt", with "ID" being the measured crystal, contain the integrated spectrum from the measurement. The ROOT macro "ana_crs.cpp" can be used to processe these files. The two data-files "single1.txt" and "single2.txt" contains the measurements performed without the radioactive source, in order to normalize the spectra to single-phe units. This dataset was scrutinized as part of the PKR-CAL crystals R&D, and the obtained results are reported in the PKR-CAL TDR document.
DOI: 10.6073/pasta/e6a018476cbefdb3a119b36b7357bd53
title: Luquillo Experimental Forest atmospheric and high and mid elevation weather data.

description: The data archive is here:https://doi.org/10.2737/RDS-2022-0050 please use this DOI when citing this dataset. This data publication contains daily means from laser ceilometer data from Sabana, ozone data from Bisley, and meteorological data collected from Bisley and the mountain top station of East Peak, all located on the Luquillo Experimental Forest (El Yunque National Forest) in Puerto Rico. Atmospheric data include: mean cloud observed frequency, mean lowest height cloud (cloud base), mean daytime mixing layer height observed frequency, mean lowest mixing layer height from hours 7am and 7pm only, and mean daytime mixing layer height collected from February 2013 through April 2021. Also included is mean ozone amount collected from April 2008 through early April 2021. The cloud and mixing layer frequency and low values were calculated using the Automated Surface Observing System (ASOS) method employed at airports in the area. Weather data include high elevation East Peak mean northeast wind speed (wind rose quartiles 45° to 90°), mean southeast wind speed (wind rose quartiles 90° to 135°), and mean total wind speed measured from October 2009 through 2020 (and a few months in 2021). Additional weather data collected from January 2008 through mid October 2020 include mid elevation Bisley mean precipitation, mean relative humidity, and mean temperature.
DOI: 10.5281/zenodo.6566848
title: Charging current data

description: the dataset (current_data_sample 349*500) is the Experimental data of the study.
DOI: 10.5281/zenodo.6566847
title: Charging current data

description: the dataset (current_data_sample 349*500) is the Experimental data of the study.
DOI: 10.5519/qd.bvak3fuz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.5281/zenodo.5593237
title: Censored Books during the Portuguese Estado Novo: Transcription Dataset of the Censorship Commission's Card Files (1934-74)

description: This spreadsheet contributes to a new bibliography of censored books under the Portuguese Estado Novo dictatorial regime. It contains the transcription of the data fields of 1,015 card files of censored books, which are indexed by author surname in letters A and B. These files are available at the Arquivo Nacional da Torre do Tombo, in Lisbon, Portugal (PT/TT/SNI-DSC/7, "Fichas de Autores de Obras Proibidas e Autorizadas", https://digitarq.arquivos.pt/details?id=4326912). The card files document data about the books censored by the Estado Novo Censorship Commission (1934-74). Data fields include file number, book report number, decision, date, author, title, origin, destination, observations, notices, and author or book process number. All card files have been photographed from very poor-quality photocopies and manually transcribed by Álvaro Seiça during 2020/21. Letters C-Z are ongoing work and will be added to this dataset. This project received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 793147, ARTDEL. More info at https://artdel.net
DOI: 10.5281/zenodo.5593236
title: Censored Books during the Portuguese Estado Novo: Transcription Dataset of the Censorship Commission's Card Files (1934-74)

description: This spreadsheet contributes to a new bibliography of censored books under the Portuguese Estado Novo dictatorial regime. It contains the transcription of the data fields of 1,015 card files of censored books, which are indexed by author surname in letters A and B. These files are available at the Arquivo Nacional da Torre do Tombo, in Lisbon, Portugal (PT/TT/SNI-DSC/7, "Fichas de Autores de Obras Proibidas e Autorizadas", https://digitarq.arquivos.pt/details?id=4326912). The card files document data about the books censored by the Estado Novo Censorship Commission (1934-74). Data fields include file number, book report number, decision, date, author, title, origin, destination, observations, notices, and author or book process number. All card files have been photographed from very poor-quality photocopies and manually transcribed by Álvaro Seiça during 2020/21. Letters C-Z are ongoing work and will be added to this dataset. This project received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 793147, ARTDEL. More info at https://artdel.net
DOI: 10.23728/b2share.fde7b67481fa4f2b97abb537801e30a2
title: D7.1 - USTUTT-HLRS transnational success story

description: This document provides a summary of Yuliia Dikova’s research visit to the High Performance Computing Center Stuttgart (HLRS).
DOI: 10.23728/b2share.c9caaf05e6d94297a7563e2ab86788cb
title: D8.1 - SURF Transnational access success story

description: Different visitors in the Quantum Chemistry group at the Rijksuniversiteit Groningen have made a really important contribution to research, thanks to the collaboration with the head of the group (Prof. Remco Havenith) and also the help of the origin groups of some of the students. This story shows how collaborations can actually span over 4 different countries and keep connected via the Dutch national supercomputing systems and the group of Prof. Havenith.
DOI: 10.22008/fk2/svmnik/yvnycx
title: AeroDEM.txt

description: Topography from AeroDEM 1978.
DOI: 10.22008/fk2/svmnik/b517rl
title: AST_L1A_00306302002193316_Z_UTM26N.tif

description: AsterDEM 2002 topography. The DEM was extracted using MMASTER (Girod and others, 2017; Hugonnet and others, 2021) and bias corrected using the ArcticDEM mosaic (Porter and others, 2018). Girod L, Nuth C, Kääb A, McNabb R and Galland O (2017) MMASTER: improved ASTER DEMs for elevation change monitoring. Remote Sensing 9(7), 704. doi: 10.3390/rs9070704 Hugonnet R and 10 others (2021) A globally complete, spatiotemporally resolved estimate of glacier mass change from 2000 to 2019. Nature 592, 726–731. doi: 10.1038/s41586-021-03436-z Porter C and 28 others (2018) ArcticDEM (doi: 10.7910/DVN/OHHUKH), Harvard Dataverse, V1.
DOI: 10.22008/fk2/svmnik/ddus7v
title: model_output.csv

description: Data for Figure 3a. First column contains distance from grounding line m. Subsequent columns contain model outputs for the given year in SI-units (Pa m^{-1/3} s^{1/3}).
DOI: 10.22008/fk2/svmnik/41ifjc
title: PROMICE.txt

description: Topographies from PROMICE surveys 2007, 2011 and 2015.
DOI: 10.22008/fk2/svmnik
title: Hagen Bræ - data and model output from Winton et al., 2021

description: This dataset contains a description of the data presented in Winton et al., 2021. For the data not previously published elsewhere, this dataset will contain a data file. For the data already published elsewhere, this dataset will contain a description of how to obtain the data and the appropriate citation.
DOI: 10.22008/fk2/gz3csn/9idnk8
title: ReadMe.txt
DOI: 10.22008/fk2/gz3csn/ykkdhn
title: RetMIP_initial_firn_density_Dye-2_16.tab
DOI: 10.22008/fk2/gz3csn/bnvrjg
title: RetMIP_initial_firn_density_Dye-2_long.tab
DOI: 10.22008/fk2/gz3csn/nqqjkb
title: RetMIP_initial_firn_density_FA.tab
DOI: 10.22008/fk2/gz3csn/cipx9p
title: RetMIP_initial_firn_density_KAN-U.tab
DOI: 10.22008/fk2/gz3csn/xp6sjc
title: RetMIP_initial_firn_density_Summit.tab
DOI: 10.22008/fk2/gz3csn/uqudxc
title: RetMIP_initial_firn_lwc_Dye-2_16.tab
DOI: 10.22008/fk2/gz3csn/xwrhjf
title: RetMIP_initial_firn_lwc_FA.tab
DOI: 10.22008/fk2/gz3csn/9oyzta
title: RetMIP_initial_firn_temperature_Dye-2_16.tab
DOI: 10.22008/fk2/gz3csn/kc9k5a
title: RetMIP_initial_firn_temperature_Dye-2_long.tab
DOI: 10.22008/fk2/gz3csn/ooz7qt
title: RetMIP_initial_firn_temperature_FA.tab
DOI: 10.22008/fk2/gz3csn/dbrevb
title: RetMIP_initial_firn_temperature_KAN-U.tab
DOI: 10.22008/fk2/gz3csn/vj2e12
title: RetMIP_initial_firn_temperature_Summit.tab
DOI: 10.22008/fk2/gz3csn/cp9vea
title: RetMIP_Protocol_20082018.pdf
DOI: 10.22008/fk2/gz3csn/7qjtkr
title: RetMIP_surface_forcing_Dye-2_16.tab
DOI: 10.22008/fk2/gz3csn/ikcykm
title: RetMIP_surface_forcing_Dye-2_long.tab
DOI: 10.22008/fk2/gz3csn/mpkoxg
title: RetMIP_surface_forcing_FA.tab
DOI: 10.22008/fk2/gz3csn/7zgyiy
title: RetMIP_surface_forcing_KANU.tab
DOI: 10.22008/fk2/gz3csn/9byssp
title: RetMIP_surface_forcing_Summit.tab
DOI: 10.22008/fk2/gz3csn
title: The firn meltwater retention model intercomparison project (RetMIP): forcing data

description: This dataset contains the forcing provided to all models for the firn meltwater Retention Intercomparison Project (RetMIP). The forcing files consist of 1) three-hourly time series of snow surface temperature, net accumulation (positive for snowfall and vapor deposition and negative for sublimation) and melt and 2) initial profiles for firn density, temperature and liquid water content. These fields are available at four sites located in different climate zones of the Greenland ice sheet: Summit, Dye-2, KAN_U and the firn aquifer site (FA). At the Dye-2 sites, two forcing data files are available: one covering 1998-2015 and another one derived from more recent instruments over the 2016 melt season. At Summit and Dye-2 (for 1998-2015), we use data from the GC-Net automatic weather stations (AWS), at Dye-2 for 2016 we use the AWS from Samimi et al. (2020), at KAN_U data from the PROMICE AWS, and at FA data from the AWS maintained by IMAU at Utrecht University. Surface temperature and vapour fluxes were calculated at hourly resolution using the surface energy budget closure from van As (2005), as implemented in Vandecrux et al. (2018). The energy budget used measurements of air temperature, humidity, pressure and net shortwave radiation. Downward longwave radiations was measured at Dye-2 (for 2016), KAN_U and FA but were extracted from the closest cell in HIRHAM regional climate model at Dye-2 (1998-2015) and Summit. Sensible and latent heat fluxes were calculated using the bulk approach and upward longwave radiation was solved iteratively at each time step. Snowfall was derived from surface height observations available at each station, first with an a-priori surface snow density of 315 kg m-3 (Fausto et al., 2016), then adjusted to multiple snowpit observations available at each site. Gap-free meteorological fields were obtained using the approach from Vandecrux et al. (2018) which adjusts the output from HIRHAM climate model to match at best the observations and use these adjusted values to fill the gaps in the instrumental records. More information about the RetMIP protocol and on the recommended boundary conditions can be found in Vandecrux et al. (2020) and on the RetMIP webpage. The model outputs for the RetMIP are available here: Vandecrux, Baptiste; Peter L. Langen; Peter Kuipers Munneke; Sebastian Simonsen; Vincent Verjans; C. Max Stevens; Sergey Marchenko; Ward van Pelt; Colin Meyer, 2020, "The firn meltwater retention model intercomparison project (RetMIP): model outputs", https://doi.org/10.22008/FK2/CVPUJL, GEUS Dataverse