cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5519/qd.7afwj2mk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17862/cranfield.rd.13514419.v1
title: Dataset for Computationally Efficient Models of High Pressure Rolling for Wire Arc Additively Manufactured Components

description: 1. Dataset for Figure 5: Equivalent plastic strain obtained along centreline on the top of the WAAM wall.2. Dataset for Figure 6: Reaction forces obtained at the rotation point of the rollers (note that only half of the WAAM component was considered in the models).3. Dataset for Figure 13: Longitudinal PS distributions on inspection planes.4. Dataset for Figure 14: Longitudinal RS distributions on inspection planes.
DOI: 10.6084/m9.figshare.5100619
title: Abies cilicica chorology

description: Distribution map of Cilician fir (<i>Abies cilicica</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). <br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.48370/ofd/nfp75r
title: Wełnianka szerokolistna (Eriophorum latifolium Hoppe), 460

description: Herbarium
DOI: 10.48370/ofd/aczdrg
title: Wełnianka szerokolistna (Eriophorum latifolium Hoppe), 460

description: Herbarium
DOI: 10.13140/rg.2.2.31290.82885
title: Curriculum Vita
DOI: 10.13140/rg.2.2.27935.38568
title: Curriculum Vita
DOI: 10.48370/ofd/isxtrg
title: Wełnianka szerokolistna (Eriophorum latifolium Hoppe), 460

description: Herbarium
DOI: 10.13140/rg.2.2.20805.06889
title: How to increase the culture and education bto accept vaccination in America Professor Tareq alasadi ا
DOI: 10.48370/ofd/iri4io
title: Wełnianka szerokolistna (Eriophorum latifolium Hoppe), 460

description: Herbarium
DOI: 10.48370/ofd/o8jglv
title: Dzięgiel leśny (Angelica sylvestris L.), 7422

description: Herbarium
DOI: 10.6084/m9.figshare.12949295
title: Multiple-race stem rust resistance loci identified in durum wheat using genome-wide association mapping

description: This data includes SNP data after imputation and raw data of the phenotypes. The lines were 283 + 3 checks. The checks were numbered from 284 to 286, and they were repeated. So, numbers from 287 to 301 were also checks. Only the entries from 1 to 286 were included for the GWAS analysis.
DOI: 10.6084/m9.figshare.13203194
title: Supplementary Data used for GWAS analyses

description: Supplementary Data 1: is the BLUPs of field response (phenotype data) to stem across five environments. The Taxa is indicating the genotype(lines) entry number preceded by DUR_ for durum wheat.<br>Supplementary Data 2: is the the SNP name, chromosome number and position in basepairs as per the format of the software used for analysis.<br>Supplementary Data 3: is the numeric format of the SNP data used for analysis.
DOI: 10.13140/rg.2.2.24999.37283
title: 5.3 updated
DOI: 10.13140/rg.2.2.18288.48647
title: 5.3 updated
DOI: 10.34740/kaggle/dsv/1813209
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.48370/ofd/pklmtb
title: Wełnianka szerokolistna (Eriophorum latifolium Hoppe), 460

description: Herbarium
DOI: 10.5281/zenodo.4399328
title: Inductioncooker1000W_spectra_9kHz_V1.csv

description: The induction cooker is running on the mode of 1000 W. The supraharmonic spectra with the IEC method is recorded up to 9 kHz
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.4399340
title: Desktoppowersupply_CPU40%load_spectra_9kHz_V1.csv

description: The CPU of the desktop is loaded with 40 % of the maximum capacity. The supraharmonic spectra of the power supply is recorded up to 9 kHz according to the IEC method.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.13140/rg.2.2.23478.93767
title: Statement Concerning the United Nations Office for South-South Cooperation
DOI: 10.5281/zenodo.4399308
title: LED_lamp_spectra_9kHz_V1.csv

description: The supraharmonic spectra of a LED lamp is recorded with the IEC method up to 9 kHz.
description: This project 18NRM05 SupraEMI has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.13140/rg.2.2.16768.05120
title: Statement Concerning the United Nations Office for South-South Cooperation
DOI: 10.13140/rg.2.2.30189.82401
title: Trace elements in fruits and vegetables
DOI: 10.13140/rg.2.2.13412.60801
title: Statement Concerning the United Nations Office for South-South Cooperation
DOI: 10.13140/rg.2.2.21801.21605
title: Statement Concerning the United Nations Office for South-South Cooperation
DOI: 10.5281/zenodo.4399272
title: Renoir: Accelerating Blockchain Validation using State Caching

description: A Blockchain system such as Ethereum is a peer to peer network<br> where each node works in three phases: creation, mining, and validation phases. In the creation phase, it executes a subset of locally<br> cached transactions to form a new block. In the mining phase, the<br> node solves a cryptographic puzzle (Proof of Work - PoW) on the<br> block it formed. On receiving a block from another peer, it starts the<br> validation phase, where it executes the transactions in the received<br> block in order to validate it. Since transactions depend on the state<br> that previously executed transactions have created, a node must<br> validate each newly arrived block before creating a new block on<br> top of it. A long block validation time lowers the system’s overall<br> throughput and brings the well known Verifier’s dilemma into play.<br> Additionally, this leads to wasted mining power utilization (MPU).<br> <br> In this work, we present Renoir a novel mechanism that<br> caches state from transaction execution during the block creation<br> phase and reuses it to enable nodes to skip (re)executing these transactions during block validation. Renoir artifact consists of two parts: First, the extensive measurement from the production Ethereum network to check the extent of redundancy in the transaction execution during block creation and validation phase. Second, Evaluation of Renoir using different metrics(Throughput, Mining Power Utilization and Validation time) on a 50 node testbed mimicking the top 50 Ethereum miners.
DOI: 10.13140/rg.2.2.24317.79841
title: Human Development Report Mongolia 1997
DOI: 10.23645/epacomptox.7871537
title: Chemical and Product Categories (CPCat) database

description: The EPA CPCat (Chemical and Product Categories) database was released in May 2014. It maps &gt;43,000 chemicals to a set of terms categorizing their usage or function. We have compiled a comprehensive list of chemicals with associated categories of chemical and product use by compiling publicly available sources. Sources include, but are not limited to: the Substances in Preparation in Nordic Countries (SPIN) database, information provided by companies, trade associations, and regulatory agencies such as the U.S. Environmental Protection Agency (EPA) and Food and Drug Administration (FDA), the DrugBank database of pharmaceutical products, and information mined from the Aggregated Computational Toxicology Resource (ACToR) database developed by the U.S. EPA. Unique use category taxonomies from each source are mapped onto a single common set of ~800 terms. The user can search for chemicals by chemical name, Chemical Abstracts Registry Number (CASRN), or by CPCat terms (i.e. category names) associated with chemicals. See Dionisio et al., 2014 for a full description of the database, sources used, interpretation of chemical categories, and potential applications. The .zip file available at the "Download" tab of this website provides a full copy of the database, available for free download, which can be freely searched and sorted for data analysis. The .zip file includes a list of all chemicals included in CPCat. A list of all sources included in CPCat is provided in the table below.
DOI: 10.23645/epacomptox.7871537.v2
title: Chemical and Products CPDat database

description: The EPA CPDat (Chemical and Products) database was released in May 2014. It maps &gt;43,000 chemicals to a set of terms categorizing their usage or function. We have compiled a comprehensive list of chemicals with associated categories of chemical and product use by compiling publicly available sources. Sources include, but are not limited to: the Substances in Preparation in Nordic Countries (SPIN) database, information provided by companies, trade associations, and regulatory agencies such as the U.S. Environmental Protection Agency (EPA) and Food and Drug Administration (FDA), the DrugBank database of pharmaceutical products, and information mined from the Aggregated Computational Toxicology Resource (ACToR) database developed by the U.S. EPA. Unique use category taxonomies from each source are mapped onto a single common set of ~800 terms. The user can search for chemicals by chemical name, Chemical Abstracts Registry Number (CASRN), or by CPDat terms (i.e. category names) associated with chemicals. See Dionisio et al., 2014 for a full description of the database, sources used, interpretation of chemical categories, and potential applications. The .zip file available at the "Download" tab of this website provides a full copy of the database, available for free download, which can be freely searched and sorted for data analysis. The .zip file includes a list of all chemicals included in CPDat. A list of all sources included in CPDat is provided in the table below.
DOI: 10.6084/m9.figshare.13516886
title: Four-Fold Multi-Modal X-ray Microscopy Measuremetns of a Cu(In,Ga)Se2 Solar Cell - Data

description: Simultaneously measured datasets of four modalities (XBIC, XEOL, XRF and Ptychography) at P06 of Petra III (DESY) of a CIGS solar cell.
DOI: 10.48370/ofd/zdc0xb
title: Wełnianka szerokolistna (Eriophorum latifolium Hoppe), 460

description: Herbarium
DOI: 10.48370/ofd/pcbqhi
title: Krzyżownica gorzka (Polygala amara L.), 1804

description: Herbarium
DOI: 10.15454/wpufud/yhy8dz
title: progenies_total.csv

description: Genotype of the maternal progenies. The columns show: - mother ID - date of sampling of the pod (early / late) - genotype at the 20 microsatellites, in a 2 columns format
DOI: 10.15454/wpufud/44sj4w
title: progenies_total.txt

description: Genotype of the maternal progenies. The columns show: - mother ID - date of sampling of the pod (early / late) - genotype at the 20 microsatellites, in a 2 columns format
DOI: 10.15454/wpufud/pr85ir
title: progenies_total.txt

description: Genotype of the maternal progenies. The columns show: - mother ID - date of sampling of the pod (early / late) - genotype at the 20 microsatellites, in a 2 columns format
DOI: 10.13140/rg.2.2.19704.06405
title: PAPER-Energy Audits in Public and Commercial Buildings in Greece
DOI: 10.13140/rg.2.2.29770.39360
title: PAPER-Energy Audits in Public and Commercial Buildings in Greece
DOI: 10.5281/zenodo.3677737
title: Datasets for manuscript: Global River Discharge and Floods in the Warmer Climate of the Last Interglacial

description: This datasets contains results of the global hydrological and hydrodynamic modeling presented in the paper referenced in the title (doi: 10.1029/2020GL089375). The dataset comprises results for one set of simulations, based on Global Climate Model CESM1.2, out of the eight sets of simulations for eight GCMs included in the paper. The corresponding results for the other seven sets of simulations (based on GCMs CESM2, EC‐EARTH3.2, HadGEM3‐GC3.1, IPSL‐CM6‐LR, MPI‐ESM 1.2.01p1‐LR, NorESM1‐F, and NUIST‐CSM) can be obtained by writing to the corresponding author at paolo.scussolini@vu.nl. Files description: fldare_yearmean_timmean_CEM1.2_LIG.nc : Annual average flood area for the Last Interglacial simulation with GCM CESM1.2, hydrological model PCR-GLOBWB and hydrodynamic model CaMa-Flood.<br> <br> fldare_yearmean_timmean_CESM1.2_PI.nc 4 Mb : Annual average flood area for the Pre-Industrial simulation with GCM CESM1.2, hydrological model PCR-GLOBWB and hydrodynamic model CaMa-Flood.<br> <br> fldsto_yearmean_timmean_CESM1.2_LIG.nc 4 Mb : Annual average flood volume for the Last Interglacial simulation with GCM CESM1.2, hydrological model PCR-GLOBWB and hydrodynamic model CaMa-Flood.<br> <br> fldsto_yearmean_timmean_CESM1.2_PI.nc 4 Mb : Annual average flood volume for the Pre-Industrial simulation with GCM CESM1.2, hydrological model PCR-GLOBWB and hydrodynamic model CaMa-Flood.<br> <br> outflw_yearmean_timmean_CESM1.2_LIG.nc 4 Mb : Annual average river discharge for the Last Interglacial simulation with GCM CESM1.2, hydrological model PCR-GLOBWB and hydrodynamic model CaMa-Flood.<br> <br> outflw_yearmean_timmean_CESM1.2_PI.nc 4 Mb : Annual average river discharge for the Pre-Industrial simulation with GCM CESM1.2, hydrological model PCR-GLOBWB and hydrodynamic model CaMa-Flood.<br> <br> runoff_annuaTot_output_mergetime_timmean_CESM1.2_LIG.nc : Annual average runoff for the Last Interglacial simulation with GCM CESM1.2 and hydrological model PCR-GLOBWB.<br> <br> runoff_annuaTot_output_mergetime_timmean_CESM1.2_PI.nc : Annual average runoff for the Pre-Industrial simulation with GCM CESM1.2 and hydrological model PCR-GLOBWB.
DOI: 10.12760/01-2014-2-03
title: Multi-sensor ocean colour atmospheric correction for time-series data: Application to LANDSAT ETM+ and OLI data.

description: This paper includes developments to a multi-sensor Atmospheric Correction (AC) that can be applied to marine and terrestrially-orientated medium resolution optical sensors, with a focus on the processing of imagery for coastal applications. The AC was originally developed for the airborne Compact Airborne Spectrographic Imager (CASI), and has since been expanded to include Compact High Resolution Imaging Spectrometer on the PRoject for On-Board Autonomy satellite mission (CHRIS-PROBA) with this paper detailing the extension to Landsat; examples shown are for the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Landsat 8 Operational Land Imager (OLI). The underlying approach is a Coastal Zone Color Scanner (CZCS) style aerosol estimation, using an Angstrom exponent, where the water's contribution to the Top Of Atmosphere (TOA) signal within the aerosol estimation wavebands is subtracted using a Bright Pixel (BP) estimation. This BPAC was originally developed for MEdium Resolution Imaging Spectrometer (MERIS), and includes a near infrared (NIR) optical water model. For Landsat, there is also an additional approach that extends the AC over the land using shortwave infrared (SWIR) vegetation 'dark targets' i.e. akin to the Dark Pixel (DP) approach over water. The preliminary results appear promising, but further research is needed. Although the suspended particulate matter (SPM) maps have realistic patterns, spectral plots comparing the Landsat results to MERIS and Moderate Resolution Imaging Spectroradiometer on the Aqua spacecraft (MODISA) atmospherically corrected data appear to show that the reflectance values are too high and the spectral shape indicates the BPAC is failing in some areas for the Landsat ETM+ data.
DOI: 10.5281/zenodo.3677736
title: Datasets for manuscript: Global River Discharge and Floods in the Warmer Climate of the Last Interglacial

description: This datasets contains results of the global hydrological and hydrodynamic modeling presented in the paper referenced in the title (doi: 10.1029/2020GL089375). The dataset comprises results for one set of simulations, based on Global Climate Model CESM1.2, out of the eight sets of simulations for eight GCMs included in the paper. The corresponding results for the other seven sets of simulations (based on GCMs CESM2, EC‐EARTH3.2, HadGEM3‐GC3.1, IPSL‐CM6‐LR, MPI‐ESM 1.2.01p1‐LR, NorESM1‐F, and NUIST‐CSM) can be obtained by writing to the corresponding author at paolo.scussolini@vu.nl. Files description: fldare_yearmean_timmean_CEM1.2_LIG.nc : Annual average flood area for the Last Interglacial simulation with GCM CESM1.2, hydrological model PCR-GLOBWB and hydrodynamic model CaMa-Flood.<br> <br> fldare_yearmean_timmean_CESM1.2_PI.nc 4 Mb : Annual average flood area for the Pre-Industrial simulation with GCM CESM1.2, hydrological model PCR-GLOBWB and hydrodynamic model CaMa-Flood.<br> <br> fldsto_yearmean_timmean_CESM1.2_LIG.nc 4 Mb : Annual average flood volume for the Last Interglacial simulation with GCM CESM1.2, hydrological model PCR-GLOBWB and hydrodynamic model CaMa-Flood.<br> <br> fldsto_yearmean_timmean_CESM1.2_PI.nc 4 Mb : Annual average flood volume for the Pre-Industrial simulation with GCM CESM1.2, hydrological model PCR-GLOBWB and hydrodynamic model CaMa-Flood.<br> <br> outflw_yearmean_timmean_CESM1.2_LIG.nc 4 Mb : Annual average river discharge for the Last Interglacial simulation with GCM CESM1.2, hydrological model PCR-GLOBWB and hydrodynamic model CaMa-Flood.<br> <br> outflw_yearmean_timmean_CESM1.2_PI.nc 4 Mb : Annual average river discharge for the Pre-Industrial simulation with GCM CESM1.2, hydrological model PCR-GLOBWB and hydrodynamic model CaMa-Flood.<br> <br> runoff_annuaTot_output_mergetime_timmean_CESM1.2_LIG.nc : Annual average runoff for the Last Interglacial simulation with GCM CESM1.2 and hydrological model PCR-GLOBWB.<br> <br> runoff_annuaTot_output_mergetime_timmean_CESM1.2_PI.nc : Annual average runoff for the Pre-Industrial simulation with GCM CESM1.2 and hydrological model PCR-GLOBWB.
DOI: 10.5281/zenodo.4415744
title: SpamTokens

description: contains common spam email words and phrases.
DOI: 10.5281/zenodo.4415701
title: SpamTokens

description: contains common spam email words and phrases.
DOI: 10.5281/zenodo.4415706
title: Distance estimates for "Gaia Early Data Release 3: The Galactic anticentre"

description: Distance estimates used by "Gaia Early Data Release 3: The Galactic anticentre", Gaia Collaboration, Antoja et al. These are Bayesian distances with an iterative prior, referred to as d<sub>PM </sub>within the paper (Appendix C). A parallax zero-point correction of 17µas has been applied before calculation. Any use of these distances should cite that paper.
DOI: 10.5281/zenodo.4415705
title: Distance estimates for "Gaia Early Data Release 3: The Galactic anticentre"

description: Distance estimates used by "Gaia Early Data Release 3: The Galactic anticentre", Gaia Collaboration, Antoja et al. These are Bayesian distances with an iterative prior, referred to as d<sub>PM </sub>within the paper (Appendix C). A parallax zero-point correction of 17µas has been applied before calculation. Any use of these distances should cite that paper.
DOI: 10.21258/1753746
title: Swiss national forest inventory - Result table No. 897955
DOI: 10.5281/zenodo.4415702
title: SpamWords

description: contains common spam email words
DOI: 10.21258/1769519
title: Swiss national forest inventory - Result table No. 891954
DOI: 10.5281/zenodo.4407442
title: UV-Vis spectral dataset of distillation wastewaters from the production of essential oils of lavender cultivars and other aromatic plant species

description: <pre>The present database provides a set of 16 ultraviolet-visible (UV-Vis) spectra characterizing the residual by-products (distillation wastewaters) of the production of essential oils from lavender (<em>Lavandula angustifolia</em> Mill.) and other aromatic plant species, including interspecific hybrids and cultivars.</pre>
DOI: 10.5281/zenodo.4407441
title: UV-Vis spectral dataset of distillation wastewaters from the production of essential oils of lavender cultivars and other aromatic plant species

description: <pre>The present database provides a set of 16 ultraviolet-visible (UV-Vis) spectra characterizing the residual by-products (distillation wastewaters) of the production of essential oils from lavender (<em>Lavandula angustifolia</em> Mill.) and other aromatic plant species, including interspecific hybrids and cultivars.</pre>
DOI: 10.5281/zenodo.4415641
title: Visual and visual-inertial SLAM: State-of-the-Art, Classification and Experimental Benchmarking

description: IRSTV dataset used in the publication "Visual and visual-inertial SLAM: State-of-the-Art, Classification and Experimental Benchmarking", Myriam Servières, Valérie Renaudin, Alexis Dupuis<sup> </sup>and Nicolas Antigny<sup>,</sup> Hidawi Journal of Sensors, To be published
DOI: 10.5281/zenodo.4415640
title: Visual and visual-inertial SLAM: State-of-the-Art, Classification and Experimental Benchmarking

description: IRSTV dataset used in the publication "Visual and visual-inertial SLAM: State-of-the-Art, Classification and Experimental Benchmarking", Myriam Servières, Valérie Renaudin, Alexis Dupuis<sup> </sup>and Nicolas Antigny<sup>,</sup> Hidawi Journal of Sensors, To be published