cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3530325
title: Registry of introduced terrestrial molluscs in Belgium

description: <strong>Introduction</strong> The Registry of introduced terrestrial molluscs in Belgium is a species checklist dataset maintained by Thierry Backeljau at the Royal Belgian Institute for Natural Sciences (RBINS). It contains information on all (29) non-native terrestrial molluscs occurring in the wild in Belgium since 1800. The list was originally compiled for EASIN (https://easin.jrc.ec.europa.eu/easin) and is based on a literature survey and information from RBINS. The dataset can be used for researching and managing terrestrial alien molluscs or compiling regional and national registries of alien species. The registry is maintained as a Google Spreadsheet and exported and uploaded here as an Excel file and csv files for each sheet. The dataset is also published for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017) as a standardized Darwin Core Archive, openly available on GBIF (https://doi.org/10.15468/t13kwo). Issues with the dataset can be reported at https://github.com/trias-project/alien-mollusca-checklist <strong>Files</strong> <strong>alien_mollusca_checklist.xlsx</strong>: Excel export of the Google Spreadsheet in which the data are maintained. <strong>metadata.csv</strong>: definitions for the fields in <code>taxa.csv</code>, <code>references.csv</code>, <code>synonyms.csv</code> and <code>vernacular_names.csv</code>, with information about the content, the number of values allowed, the necessity of a controlled vocabulary and whether or not the information is obligatory. <strong>taxa.csv</strong>: scientific names and higher classification, as well as the species’ presence or absence in Belgium, its first and last observation date, native range, introduction pathway and degree of establishment. <strong>references.csv</strong>: all references used to compile the dataset. <strong>synonyms.csv</strong>: synonyms for the scientific names in <code>taxa.csv</code>. <strong>vernacular_names.csv</strong>: Dutch, French, English and German vernacular names for the scientific names in <code>taxa.csv</code>.
description: {"references": ["Vanderhoeven S, Adriaens T, Desmet P, Strubbe D, Backeljau T, Barbier Y, Brosens D, Cigar J, Coupremanne M, De Troch R, Eggermont H, Heughebaert A, Hostens K, Huybrechts P, Jacquemart A, Lens L, Monty A, Paquet J, Pr\u00e9vot C, Robertson T, Termonia P, Van De Kerchove R, Van Hoey G, Van Schaeybroeck B, Vercayie D, Verleye T, Welby S, Groom Q (2017) Tracking Invasive Alien Species (TrIAS): Building a data-driven framework to inform policy. Research Ideas and Outcomes 3: e13414"]}
DOI: 10.5281/zenodo.3530326
title: Registry of introduced terrestrial molluscs in Belgium

description: <strong>Introduction</strong> The Registry of introduced terrestrial molluscs in Belgium is a species checklist dataset maintained by Thierry Backeljau at the Royal Belgian Institute for Natural Sciences (RBINS). It contains information on all (29) non-native terrestrial molluscs occurring in the wild in Belgium since 1800. The list was originally compiled for EASIN (https://easin.jrc.ec.europa.eu/easin) and is based on a literature survey and information from RBINS. The dataset can be used for researching and managing terrestrial alien molluscs or compiling regional and national registries of alien species. The registry is maintained as a Google Spreadsheet and exported and uploaded here as an Excel file and csv files for each sheet. The dataset is also published for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017) as a standardized Darwin Core Archive, openly available on GBIF (https://doi.org/10.15468/t13kwo). Issues with the dataset can be reported at https://github.com/trias-project/alien-mollusca-checklist <strong>Files</strong> <strong>alien_mollusca_checklist.xlsx</strong>: Excel export of the Google Spreadsheet in which the data are maintained. <strong>metadata.csv</strong>: definitions for the fields in <code>taxa.csv</code>, <code>references.csv</code>, <code>synonyms.csv</code> and <code>vernacular_names.csv</code>, with information about the content, the number of values allowed, the necessity of a controlled vocabulary and whether or not the information is obligatory. <strong>taxa.csv</strong>: scientific names and higher classification, as well as the species’ presence or absence in Belgium, its first and last observation date, native range, introduction pathway and degree of establishment. <strong>references.csv</strong>: all references used to compile the dataset. <strong>synonyms.csv</strong>: synonyms for the scientific names in <code>taxa.csv</code>. <strong>vernacular_names.csv</strong>: Dutch, French, English and German vernacular names for the scientific names in <code>taxa.csv</code>.
description: {"references": ["Vanderhoeven S, Adriaens T, Desmet P, Strubbe D, Backeljau T, Barbier Y, Brosens D, Cigar J, Coupremanne M, De Troch R, Eggermont H, Heughebaert A, Hostens K, Huybrechts P, Jacquemart A, Lens L, Monty A, Paquet J, Pr\u00e9vot C, Robertson T, Termonia P, Van De Kerchove R, Van Hoey G, Van Schaeybroeck B, Vercayie D, Verleye T, Welby S, Groom Q (2017) Tracking Invasive Alien Species (TrIAS): Building a data-driven framework to inform policy. Research Ideas and Outcomes 3: e13414"]}
DOI: 10.5281/zenodo.3531928
title: LMDZOR-INCA global model simulations diagnostics for mineral dust direct radiative effet calculations

description: This dataset contains the diagnostic variable used to estimate the mineral dust aerosol direct radiative effect from LMDZOR-INCA global simulations using different refractive index data and different size modes and a multimodal size distribution. The NetCDF files provide the radiation fields shortwave all sky (solswad, topswad) and clear sky (solswad0, topswad0) (sol is for the surface and top for the top of the atmosphere) and the longwave all sky (sollwad, toplwad) and clear sky (sollwad0, toplwad0), as monthly means over global grids. Data are provided for the mean, minimum and maximum of the complex refractive index from Di Biagio et al. (2017) ( https://doi.org/10.5194/acp-17-1901-2017 ) and the refractive index by Volz et al. (1973) ( https://doi.org/10.1364/AO.12.000564 ) in the longwave spectral range and for the refractive index by Balkanski et al. (2007) ( https://doi.org/10.5194/acp-7-81-2007) corresponding to 1.5% hematite by volume in the shortwave range. Simulations are performed for four lognormal size distributions with mass median diameters (sigma) of 1 µm (1.8), 2.5 µm (2), 7 µm (1.9), 22 µm (2). The multimodal run is performed on the size distribution obtained as the sum of the four modes combined follwing the mass fractions of 0.6%, 4.3%, 31.5%, and 63.6% for the four modes, respectively. Variables for the dust atmospheric load and optical depth at 550 nm for each mode are in the mean run for each mode. Input mass extinction efficiency (Ext, m2/g), absorption exitinction efficiency (Abs, m2/g), single scattering albedo (w) and asymmetry factor (g) for the different radiative bands at at some wavelengths used in the MODIS sensor are provided in the 1MODE_xxum_dust_optical_data_1.5dielectric_mixture.
DOI: 10.5281/zenodo.3531929
title: LMDZOR-INCA global model simulations diagnostics for mineral dust direct radiative effet calculations

description: This dataset contains the diagnostic variable used to estimate the mineral dust aerosol direct radiative effect from LMDZOR-INCA global simulations using different refractive index data and different size modes and a multimodal size distribution. The NetCDF files provide the radiation fields shortwave all sky (solswad, topswad) and clear sky (solswad0, topswad0) (sol is for the surface and top for the top of the atmosphere) and the longwave all sky (sollwad, toplwad) and clear sky (sollwad0, toplwad0), as monthly means over global grids. Data are provided for the mean, minimum and maximum of the complex refractive index from Di Biagio et al. (2017) ( https://doi.org/10.5194/acp-17-1901-2017 ) and the refractive index by Volz et al. (1973) ( https://doi.org/10.1364/AO.12.000564 ) in the longwave spectral range and for the refractive index by Balkanski et al. (2007) ( https://doi.org/10.5194/acp-7-81-2007) corresponding to 1.5% hematite by volume in the shortwave range. Simulations are performed for four lognormal size distributions with mass median diameters (sigma) of 1 µm (1.8), 2.5 µm (2), 7 µm (1.9), 22 µm (2). The multimodal run is performed on the size distribution obtained as the sum of the four modes combined follwing the mass fractions of 0.6%, 4.3%, 31.5%, and 63.6% for the four modes, respectively. Variables for the dust atmospheric load and optical depth at 550 nm for each mode are in the mean run for each mode. Input mass extinction efficiency (Ext, m2/g), absorption exitinction efficiency (Abs, m2/g), single scattering albedo (w) and asymmetry factor (g) for the different radiative bands at at some wavelengths used in the MODIS sensor are provided in the 1MODE_xxum_dust_optical_data_1.5dielectric_mixture.
DOI: 10.17632/zb49gvhpgc.1
title: Data for: Natural gas distribution proposal in Lima's urban hills through lean logistic and mixed whole linear programming

description: Research for: Natural gas distribution proposal in Lima's urban hills through lean logistic and mixed whole linear programming
DOI: 10.25345/c5d67z
title: MassIVE MSV000084559 - Effects of mobile phone electromagnetic radiation on rat hippocampus proteome.
title: Worldwide, number of mobile phone users have increased from 5.57 billion in 2011 to a forecast of 6.8 billion in 2019. However short and long term impact of the electromagnetic radiations emitting of it on tissue homeostasis with particular to brain function needs further investigation. In this study, we undertook a global proteome profiling of rat hippocampus exposed to mobile phone radiation for 20 weeks (for 3 hrs/day for 5 days/week) to identify deregulated proteins and Western blot analysis for validation. As a result, we identified 358 hippocampus proteins, of which 16 showed deregulation in exposed group with respect to controls. Majority of these deregulated molecules grouped to three clusters sharing similar molecular pathways. A set of four proteins (Aldehyde dehydrogenase:Aldh5a1, Sodium Potassium transporting ATPase:ATP1b2, plasma membrane calcium transporting ATPase:PMCA ATPase and protein S100B) representing each pathways were selected as important molecules. Western blot analysis of these proteins (expect ATP1b2) in independent samples corroborated the mass spectrometry findings. Aldh5a1 involve in cellular energy metabolism, both ATP1b2 and PMCA ATPase responsible for membrane transport and protein S100-B has neuroprotective role. In conclusion, we present deregulated hippocampus proteome upon mobile phone radiation which might impact healthy functioning of brain.
DOI: 10.25919/5dc4ddf7ace38
title: RV Investigator Voyage IN2018_V08 End of Voyage (EOV) Archive

description: This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Investigator research voyage IN2018_V08, titled "The Balleny mantle plume: key role in Tasmania-Antarctic breakup?" The voyage took place from Hobart (TAS) to Hobart between December 27, 2018 and January 10, 2019. For further information refer to the Voyage documentation links below. Instruments used and data collected include: Regular measurements: Acoustic Doppler Current Profiler (ADCP; 75, 150 KHz ), Fisheries echosounder (EK60), Multibeam Echosounder (EM710, EM122), Sub-bottom Profiler (SBP120), Gravimeter, GPS Positioning System, Doppler Velocity Log, Met station (temp, humidity, pressure, wind, rain, PIR, PSP, PAR), Nephelometer, pCO2, Starboard and Portside Radiometers, Radon, Ozone and Oxygen sensors, Weather Radar, Greenhouse Gas Analysers (Aerodyne, Picarro), Air Pressure, Wind Speed and Direction sensors, Photosynthetically Active Radiation (PAR) sensor, Precision Infrared Radiometer (PIR), Precision Spectral Pyranometer (PSP), Infrared Sea Surface Temperature Autonomous Radiometer (ISAR), Seawater (TSG, fluorometer, optode), Thermosalinographs (TSG), Expendable Bathythermographs (XBTs). Voyage-specific measurements: Condensation Particle Counters (CPC), Cloud Condensation Nuclei counter (CCN), Multiangle Absorption Photometer (MAAP), Scanning Mobility Particle Sizers (SMPS), Rock Dredge. The archive for the IN2018_V08 EOV raw data is curated by the CSIRO Oceans and Atmosphere (O&A) Information and Data Centre (IDC) in Hobart, with a permanent archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via DataLibrariansOAMNF@csiro.au.
DOI: 10.5281/zenodo.3532892
title: Dataset for "Assessing the exposure of forest habitat types to projected climate change – implications for Bavarian protected areas"

description: This dataset relates to the publication C. Steinacker, C. Beierkuhnlein, A. Jaeschke (2019), "Assessing the exposure of forest habitat types to projected climate change—Implications for Bavarian protected areas", Ecology and Evolution. doi: 10.1002/ece3.5877. The file contains: the R script, the model outputs (raster data of projected distribution of habitat types), the results of the range change analysis, the protected area shapefile with information on the elevational range inside of them and their projected environmental suitability for the corresponding habitat types. The products build on freely available data (e.g. distribution data from the EEA under the Habitats Directive). All data sources are cited in the related publication. Methodologically, we applied correlative species distribution models and further spatial and geostatistical analyses. We used R (e.g. biomod2-package) as well as GIS-software to conduct the analyses. More detailed descriptions of the methodology are placed in the publication.
DOI: 10.15468/04ctpx
title: Monographie des libellulidées d'Europe (excerpt)

description: This dataset contains the digitized treatments in Plazi based on the original book / thesis / monograph Selys, Longchamps Edmond de (1840): Monographie des libellulidées d'Europe (excerpt). Paris: Librairie Encyclop. de Roret, DOI: http://doi.org/10.5281/zenodo.3532731
DOI: 10.25345/c5hx0g
title: MassIVE MSV000084558 - Hypoxia low glucose HT22 cells
title: Samples were analyzed using a nanoACQUITY UPLC system (Waters) coupled to a Fusion Lumos high resolution accurate mass tandem mass spectrometer (Thermo) via a nanoelectrospray ionization source. Briefly the sample was first trapped on a Symmetry C18 180 micron by 20 mm trapping column (5 microl/min at 99.9/0.1 v/v H2O/MeCN) followed by an analytical separation using a 1.7 micron AQCUITY HSS T3 C18 75 micron x 250 mm column (Waters) with a 90 min gradient of 5 to 30% MeCN with 0.1% formic acid at a flow rate of 400 nl/min and column temperature of 55 degC. Data collection on the Fusion Lumos MS was performed in data-dependent acquisition (DDA) mode with a 240,000 resolution (at m/z 200) full MS scan from m/z 375 to 1600 with a target AGC value of 2e5 ions and 50 ms maximum injection time (IT) with internal calibration enabled. Peptides were selected for MS/MS using with advanced peak determination enabled, peptide monosotopic peak determination, and including charge states 2-5. MS/MS used HCD fragmentation and detection in the ion trap. Briefly, a 2 s method used an isolation width of 0.7 m/z, a normalized collision energy of 30 plus/minus 5%, a rapid ion trap scan rate, max AGC of 5e3 ions, max IT of 300 ms and use of all available parallelization time. A 20 s dynamic exclusion was enabled.
DOI: 10.5281/zenodo.3532891
title: Dataset for "Assessing the exposure of forest habitat types to projected climate change – implications for Bavarian protected areas"

description: This dataset relates to the publication C. Steinacker, C. Beierkuhnlein, A. Jaeschke (2019), "Assessing the exposure of forest habitat types to projected climate change—Implications for Bavarian protected areas", Ecology and Evolution. doi: 10.1002/ece3.5877. The file contains: the R script, the model outputs (raster data of projected distribution of habitat types), the results of the range change analysis, the protected area shapefile with information on the elevational range inside of them and their projected environmental suitability for the corresponding habitat types. The products build on freely available data (e.g. distribution data from the EEA under the Habitats Directive). All data sources are cited in the related publication. Methodologically, we applied correlative species distribution models and further spatial and geostatistical analyses. We used R (e.g. biomod2-package) as well as GIS-software to conduct the analyses. More detailed descriptions of the methodology are placed in the publication.
DOI: 10.17632/3pzfyd2cbc.1
title: Data for: Enhanced electrical and thermal conductivities of 3D-SiC(rGO, Gx) PDCs based on polycarbosilane-vinyltriethoxysilane-graphene oxide (PCS-VTES-GO) precursor containing graphene fillers

description: This file includes the original data of FTIR spectra, XRD spectra, Raman spectra, EPR spectra, TGA curves, hardness, fracture toughness, electrical conductivity, thermal conductivity, thermal resistances and junction temperatures of 3D-SiC(rGO, Gx) PDCs.
DOI: 10.17632/4gn4ng89xf.1
title: Data for: Preparation and characterization of magnesium aluminate (MgAl2O4) spinel ceramic foams via direct foam-gelcasting

description: This file contains all of the figures mentioned in the manuscript.
DOI: 10.5281/zenodo.3532712
title: DSVE-loc weights for Scigraph Corpus

description: This dataset contains the weights generated after training the DSVE-loc model with an adapted corpus of figures and captions from Scigraph.
description: ELG (EU H2020 project, grant number: 825627) and Co-Inform (EU H2020 project, grant number: 770302)
DOI: 10.5281/zenodo.3532713
title: DSVE-loc weights for Scigraph Corpus

description: This dataset contains the weights generated after training the DSVE-loc model with an adapted corpus of figures and captions from Scigraph.
description: ELG (EU H2020 project, grant number: 825627) and Co-Inform (EU H2020 project, grant number: 770302)
DOI: 10.18716/nmrshiftdb2/2592
title: NMR data for Suregadolide A
DOI: 10.18716/nmrshiftdb2/2596
title: NMR data for 1-(4-Methoxy-phenyl)-9,9-dimethyl-7a,10a-dihydro-7H-8,10-dioxa-cyclopenta[a]phenalen-7-ol
DOI: 10.18716/nmrshiftdb2/2597
title: NMR data for triaza[18]annulenes
DOI: 10.15468/22bymg
title: New species of the genus Mimogonia and Holotrochus from South America (Coleoptera: Staphylindae: Osoriinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Irmler, Ulrich (2013): New species of the genus Mimogonia and Holotrochus from South America (Coleoptera: Staphylindae: Osoriinae). Acta Entomologica Musei Nationalis Pragae 53 (1): 155-176, DOI: http://doi.org/10.5281/zenodo.3532762
DOI: 10.18716/nmrshiftdb2/2598
title: NMR data for [D-Leu^(1)]-microcystin-LR
DOI: 10.5281/zenodo.3532707
title: LMMS Wordnet Embeddings for SemCor corpus

description: This dataset contains word vectors generated after training the LMMS <code>Language Modelling Makes Sense (ACL 2019)</code> model with the whole train set of SemCor, adapted by rdenaux. The main modifications include: support for transformers backend ** this makes it possible to experiment with other transformer architectures besides BERT, e.g. XLNet, XLM, RoBERTa ** optimised training since we no longer have to pad sequences to 512 wordpiece tokens Introduced <code>SentenceEncoder</code> which is an experimental generalisation of bert-as-service like encoding services using the transformers backend ** allows to extract various types of embeddings from a single execution of a batch of sequences rolling cosine similarity metrics during training phase The original repository includes the code to replicate the experiments in the "Language Modelling Makes Sense (ACL 2019)" paper. This project is designed to be modular so that others can easily modify or reuse the portions that are relevant for them. Its composed of a series of scripts that when run in sequence produce most of the work described in the paper (for simplicity, we've focused this release on BERT, let us know if you need ELMo). The code is available here.
description: Funding: ELG (EU H2020 project, grant number: 825627) and Co-Inform (EU H2020 project, grant number: 770302)
DOI: 10.5281/zenodo.3532708
title: LMMS Wordnet Embeddings for SemCor corpus

description: This dataset contains word vectors generated after training the LMMS <code>Language Modelling Makes Sense (ACL 2019)</code> model with the whole train set of SemCor, adapted by rdenaux. The main modifications include: support for transformers backend ** this makes it possible to experiment with other transformer architectures besides BERT, e.g. XLNet, XLM, RoBERTa ** optimised training since we no longer have to pad sequences to 512 wordpiece tokens Introduced <code>SentenceEncoder</code> which is an experimental generalisation of bert-as-service like encoding services using the transformers backend ** allows to extract various types of embeddings from a single execution of a batch of sequences rolling cosine similarity metrics during training phase The original repository includes the code to replicate the experiments in the "Language Modelling Makes Sense (ACL 2019)" paper. This project is designed to be modular so that others can easily modify or reuse the portions that are relevant for them. Its composed of a series of scripts that when run in sequence produce most of the work described in the paper (for simplicity, we've focused this release on BERT, let us know if you need ELMo). The code is available here.
description: Funding: ELG (EU H2020 project, grant number: 825627) and Co-Inform (EU H2020 project, grant number: 770302)
DOI: 10.18716/nmrshiftdb2/2599
title: NMR data for 5-Methoxy-6-oxa-benzo[def]chrysen-1-one
DOI: 10.18716/nmrshiftdb2/2600
title: NMR data for 3-Senecioyloxy-1,10-epoxy-8-hydroxyeremophil-7(11)-en-8(12)-olide
DOI: 10.18716/nmrshiftdb2/2602
title: NMR data for 1,7,8-Trihydroxy-2,2-dimethylpyrano[5',6':3,4]xanthone; Globulixanthone C
DOI: 10.7910/dvn/jaxdlu/0xsvyi
title: 06 Data Sharing.zip

description: The folder contains all files required to reproduce the results presented in the 3ie report.
DOI: 10.7910/dvn/jaxdlu/5xbde1
title: ImprovingHABIT_AppendixA3_AnalysisMatrix.tab

description: Matrix of qualitative interview responses
DOI: 10.18716/rshiftdb2/2601
title: NMR data for 26-Deoxyactein
DOI: 10.25345/c5rh41
title: MassIVE MSV000084564 - Analysis of Naja naja snake venom
title: GelC-MS analysis of Naja naja snake venom that goes alongside a genome sequencing and transcriptome analysis of the Indian cobra.
DOI: 10.3886/e108601
title: Interpersonal parental power-prestige and Parental Acceptance and Children’s Psychological Adjustment

description: Data related to Interpersonal parental power and prestige and Parental Acceptance/Rejection Theory. Can be found the following variables: age, gender, family sitution, PARQF, PARQM, Power, prestige, and PAQ.<br><br>
DOI: 10.3886/e108601v1-19461
title: Interpersonal parental power-prestige and Parental Acceptance and Children’s Psychological Adjustment

description: Data related to Interpersonal parental power and prestige and Parental Acceptance/Rejection Theory. Can be found the following variables: age, gender, family sitution, PARQF, PARQM, Power, prestige, and PAQ.<br><br>
DOI: 10.7910/dvn/jaxdlu/wykp4q
title: ImprovingHABIT_Appendix.pdf

description: :unav