cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12613193.v1
title: Data for "Niche-based processes explaining the distributions of closely related subterranean spiders"

description: Data associated with the study: <br>Pavlek, M. & Mammola, S. (2020). Niche-based processes explaining the distributions of closely related subterranean spiders. Journal of Biogeography.<br><br>The data set contains occurrence records of four cave adapted spider species from the family Dysderidae, endemic to Dinarides (Balkans, Europe): <i>Parastalita stygia</i> (Joseph, 1882), <i>Stalita taenaria</i> Schiödte, 1847, <i>S. pretneri </i>Deeleman-Reinhold, 1971, and <i>S. hadzii</i> Kratochvil, 1934. Coordinates are in WGS84 decimal degrees.<br>Abbreviations: CBSS_AR: Croatian Biospeleological Society Collection, Zagreb, Croatia; CRBA: University of Barcelona Collection, Spain; SLO: University of Ljubljana Collection, Slovenia; ROC: Roman Ozimec Collection, Zagreb, Croatia; L: literature record<br>
DOI: 10.17897/vgzs-w146
title: GeoBasis Zackenberg - Meteorology - M7_snow

description: The meteorological station M7 was installed in 2008. M7 is located in the western end of 'Store SÃ¸dal', about 500 West of the lake delta. Underneath the mast there are several bigger boulders, with a mix of salix and grasses between the boulders. Data is recorded on a CR1000 campbell scientific data logger. This file contains snow depth data recorded every third day. Meteorology:Meteorology GeoBasis Zackenberg:The GeoBasis monitoring programme focuses on selected abiotic characteristics in order to describe the state of Greenlandic terrestrial environments and their potential feedback effects in a changing climate. Monitored plot data is up-scaled to a landscape level and is used to improve ecosystem models to be able to quantify these feedback mechanisms. The GeoBasis programme provides an active response to recommendations in international assessments such as ACIA and SWIPA; and is continuously being adapted based on AMAP and other international founded recommendations. Furthermore, the GeoBasis programme is directly involved in several international networks and research projects (e.g. the Circumpolar Active Layer Monitoring (CALM) programme, the Nordic Centre of Excellence DEFROST, the Danish Centre of Excellence CENPERM, the EU-projects PAGE21 and INTERACT, and the Arctic Research Centre at Aarhus University). The GeoBasis programme is divided into a number of sub-groups, including:
DOI: 10.25392/leicester.data.12839552
title: Scopus SDG Search Query codes

description: Full query codes for each of the 17 Sustainable Development Goals to be used on Scopus advanced search. Useful when searching for publications from specific institutions which match criteria set. Criteria used include, time frame, keywords, and institution
DOI: 10.25392/leicester.data.12839552.v1
title: Scopus SDG Search Query codes

description: Full query codes for each of the 17 Sustainable Development Goals to be used on Scopus advanced search. Useful when searching for publications from specific institutions which match criteria set. Criteria used include, time frame, keywords, and institution
DOI: 10.25392/leicester.data.12839519
title: SDG Research Publication Keywords

description: Keywords for each of the 17 Sustainable development goals used to map an institutions published material which is available on databases such Scopus. Each goal has a set of keywords associated with the targets and indicators outlined by the UN.
DOI: 10.25392/leicester.data.12839519.v1
title: SDG Research Publication Keywords

description: Keywords for each of the 17 Sustainable development goals used to map an institutions published material which is available on databases such Scopus. Each goal has a set of keywords associated with the targets and indicators outlined by the UN.
DOI: 10.25392/leicester.data.12839444
title: Research Excellent Framework Impact Case Study 2014 SDG keywords

description: Keywords for each of the 17 Sustainable development goals derived from REF Impact Case studies 2014. Each goal has a set of keywords associated with the targets and indicators outlined by the UN. These can be used to classify where impact case studies have an impact in relation to the SDGs.
DOI: 10.25392/leicester.data.12839444.v1
title: Research Excellent Framework Impact Case Study 2014 SDG keywords

description: Keywords for each of the 17 Sustainable development goals derived from REF Impact Case studies 2014. Each goal has a set of keywords associated with the targets and indicators outlined by the UN. These can be used to classify where impact case studies have an impact in relation to the SDGs.
DOI: 10.6084/m9.figshare.12927650.v1
title: Table 1-5

description: Table 1. Calculated basalt volumes derived from four model scenarios.Table 2.Major (wt.%) and trace (ppm) element compositions of the Keping and Yingmai basalts.Table 3. Sr and Nd isotopic composition for the Keping and the Yingmai basalts. <sup>87</sup>Sr/<sup>86</sup>Sr<sub>i</sub> and <sup>143</sup>Nd/<sup>144</sup>Nd<sub>i</sub> are calculated at 267.0 Ma for Keping basalts and 287.2 Ma for Yingmai basalts.Table 4. Zn isotopic composition for the Keping basalts, Yingmai basalts and separated clinopyroxene from sample Ym5-8.Table 5. Main chemical characteristics of the two Tarim basalt types (group 1 and 2).
DOI: 10.6084/m9.figshare.12513434
title: Data to support article: Indium Phosphasalen Catalysts Showing High Isoselectivity and Activity in Racemic Lactide and Lactone Ring Opening Polymerizations

description: Data to support article:Indium Phosphasalen Catalysts Showing High Isoselectivity and Activity in Racemic Lactide and Lactone Ring Opening Polymerizations<br>Journal: Catalysis Science and Technology<br>Publication DOI: 10.1039/d0cy01484b <br> <i>Authors: Nattawut Yuntawattana, Thomas M. McGuire, Christopher B. Durr, Antoine Buchard* and Charlotte K Williams*</i> Chemistry research laboratory, Department of Chemistry, University of Oxford, 12 Mansfield Road, Oxford, OX1 3TA, UK.<br> Department of Chemistry, University of Bath, Bath BA2 7AY, United Kingdom<br> Study: - DFT-optimised geometries of complexes 4'a and associated P atoms and lactate coordination isomers-DFT-optimised geometries of complexes 1'a, 1'b and 4'b-DFT-computed transition states for the isotactic and heterotactic opening of lactide via a cis-re, cis-si, trans-si and trans-re pathways for complexes 1'a, 1'b, 4'a and 4'b with M06-L functional- Functional benchmarking of lowest enthalpy M06-L transition states with PBE0/wb97XD functionals-Full reaction pathways for lowest enthalpy isotactic openings with M06-L/PBE0/wb97XD functionals Protocol:-Functionals: M06-L or PBE0 or wb97XD-Basis sets/pseudo potential: 6–31+G(d,p) for P, O and N atoms. 6–31G(d,p) for C and H atoms. Lanl2dz for In atoms-Solvent model: SMD THF-Temperature: 298.15 K Content:- Gaussian09 rev D.01 output files- Reaction profiles.pdf (contains schemes with free energy values relating to described structures)-Tabulated free enthalpies.pdf (contains free enthalpies relating to described structures) <br>
DOI: 10.15161/oar.it/30689
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.12001377
title: Classification scheme

description: Classification scheme for Twitter accounts discussing about FPU Dual.
DOI: 10.6084/m9.figshare.12001377.v2
title: Classification scheme

description: Classification scheme for Twitter accounts discussing about FPU Dual.
DOI: 10.6084/m9.figshare.12001377.v1
title: Untitled Item

description: Classification scheme for Twitter accounts discussing about FPU Dual.
DOI: 10.5519/qd.23uavaid
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (13879 records)
DOI: 10.5281/zenodo.3243508
title: Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2015: Globe

description: Base epoch 2015 from the Collection 3 of annual, global 100m land cover maps. Other available epochs: 2016 2017 2018 2019 Produced by the global component of the Copernicus Land Service, derived from PROBA-V satellite observations and ancillary datasets. The maps include a main discrete classification with 23 classes aligned with UN-FAO's Land Cover Classification System, a set of versatile cover fractions: percentage (%) of ground cover for the 10 main classes a forest type layer quality layers on input data density Click here to view the maps More information about the land cover maps Product User Manual
description: {"references": ["Pekel, J.F., Cottam, A., Gorelick, N., Belward, A.S. (2016). High-resolution mapping of global surface water and its long-term changes. Nature 540, 418-422. doi:10.1038/nature20584", "Marconcini, M., \u00dcreyen, S., Esch, T., Metz, A., Zeidler, J. and Palacios-Lopez, D. (2017b). \"Outlining the urban side of the Earth \u2013 the GUF+2015\","]}
DOI: 10.5281/zenodo.4018650
title: hatching dataset 2

description: dataset of hatching images
DOI: 10.5281/zenodo.4018649
title: hatching dataset 2

description: dataset of hatching images
DOI: 10.6084/m9.figshare.12927722.v1
title: driving style bus driver

description: this dataset was associatied with the article called Can driving style predict Chinese bus drivers’ traffic violations and accidents
DOI: 10.6084/m9.figshare.12927722
title: driving style bus driver

description: this dataset was associatied with the article called Can driving style predict Chinese bus drivers’ traffic violations and accidents
DOI: 10.17632/kxj9cntzb3.1
title: Yahia Mjery -Quantitative proteomics and biochemical studies in human IgA Nephropathy. Studying new disease mechanisms and the unknown biochemistry of PEBP4 in the disease.

description: Supplemental tables of IgA binding proteins on mesangial cells when the cells extracts were electrophoresed and the proteins were transferred on the membranes which were incubated with IgAN IgA and healthy IgA
DOI: 10.5281/zenodo.3999438
title: HMDSO Poisoning of UST1530 MOS Sensor

description: The dataset was created at the Lab for Measurement Technology (Saarland University). It consists of several characterization measurements of a UST1530 (UST Umweltsensortechnik GmBH) with 2 ppm acetone, 2 ppm carbon monoxide and 2 ppm hydrogen. Between these characterizations the sensor was exposed to 10 ppm of HMDSO (hexamethyldisiloxane) for different times and at different temperatures, which is known to be a sensor poison. An exact description of the measurement setup and its results can be found in the open access article: Schultealbert, C., Uzun, I., Baur, T., Sauerwald, T., and Schütze, A.: Siloxane treatment of metal oxide semiconductor gas sensors in temperature-cycled operation – sensitivity and selectivity, J. Sens. Sens. Syst., 9, 283–292, https://doi.org/10.5194/jsss-9-283-2020, 2020. The h5-file comprises 13 datasets, each containing 48 sensor cycles (ln(G)) with 2500 data points (@ 18 Hz). All measurements were performed consecutively with the same sensor. Gas profile: Cycles 16-20: 2 ppm carbon monoxide Cycles 25-29: 2 ppm acetone Cycles 34-38: 2 ppm hydrogen Sensor operation mode: 30 s 450 °C, 120 s 150 °C, 30 s 450 °C, 120 s 200 °C, 30 s 450 °C, 120 s 250 °C, 30 s 450 °C, 120 s 300 °C, 30 s 450 °C, 120 s 350 °C, Datasets: x_0h: Characterization before poisoning x300_3h: Characterization after 3 h at 300 °C at 11 ppm HMDSO x300_9h: Characterization after additional 6 h at 300 °C at 11 ppm HMDSO x300_12h: Characterization after additional 3 h at 300 °C at 11 ppm HMDSO x400_3h: Characterization after additional 3 h at 400 °C at 13 ppm HMDSO x400_6h: Characterization after additional 3 h at 400 °C at 13 ppm HMDSO x400_12h: Characterization after additional 6 h at 400 °C at 13 ppm HMDSO x400_24h: Characterization after additional 12 h at 400 °C at 13 ppm HMDSO x500_3h: Characterization after additional 3 h at 500 °C at 13 ppm HMDSO x500_6h: Characterization after additional 3 h at 500 °C at 13 ppm HMDSO x500_12h: Characterization after additional 6 h at 500 °C at 13 ppm HMDSO x500_24h: Characterization after additional 12 h at 500 °C at 13 ppm HMDSO x700: Characterization after additional 12 minutes at 700 °C at 2500 ppm HMDSO
DOI: 10.5281/zenodo.3999437
title: HMDSO Poisoning of UST1530 MOS Sensor

description: The dataset was created at the Lab for Measurement Technology (Saarland University). It consists of several characterization measurements of a UST1530 (UST Umweltsensortechnik GmBH) with 2 ppm acetone, 2 ppm carbon monoxide and 2 ppm hydrogen. Between these characterizations the sensor was exposed to 10 ppm of HMDSO (hexamethyldisiloxane) for different times and at different temperatures, which is known to be a sensor poison. An exact description of the measurement setup and its results can be found in the open access article: Schultealbert, C., Uzun, I., Baur, T., Sauerwald, T., and Schütze, A.: Siloxane treatment of metal oxide semiconductor gas sensors in temperature-cycled operation – sensitivity and selectivity, J. Sens. Sens. Syst., 9, 283–292, https://doi.org/10.5194/jsss-9-283-2020, 2020. The h5-file comprises 13 datasets, each containing 48 sensor cycles (ln(G)) with 2500 data points (@ 18 Hz). All measurements were performed consecutively with the same sensor. Gas profile: Cycles 16-20: 2 ppm carbon monoxide Cycles 25-29: 2 ppm acetone Cycles 34-38: 2 ppm hydrogen Sensor operation mode: 30 s 450 °C, 120 s 150 °C, 30 s 450 °C, 120 s 200 °C, 30 s 450 °C, 120 s 250 °C, 30 s 450 °C, 120 s 300 °C, 30 s 450 °C, 120 s 350 °C, Datasets: x_0h: Characterization before poisoning x300_3h: Characterization after 3 h at 300 °C at 11 ppm HMDSO x300_9h: Characterization after additional 6 h at 300 °C at 11 ppm HMDSO x300_12h: Characterization after additional 3 h at 300 °C at 11 ppm HMDSO x400_3h: Characterization after additional 3 h at 400 °C at 13 ppm HMDSO x400_6h: Characterization after additional 3 h at 400 °C at 13 ppm HMDSO x400_12h: Characterization after additional 6 h at 400 °C at 13 ppm HMDSO x400_24h: Characterization after additional 12 h at 400 °C at 13 ppm HMDSO x500_3h: Characterization after additional 3 h at 500 °C at 13 ppm HMDSO x500_6h: Characterization after additional 3 h at 500 °C at 13 ppm HMDSO x500_12h: Characterization after additional 6 h at 500 °C at 13 ppm HMDSO x500_24h: Characterization after additional 12 h at 500 °C at 13 ppm HMDSO x700: Characterization after additional 12 minutes at 700 °C at 2500 ppm HMDSO
DOI: 10.5281/zenodo.3518026
title: Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2016: Globe

description: Consolidated epoch 2016 from the Collection 3 of annual, global 100m land cover maps. Other available epochs: 2015 2017 2018 2019 Produced by the global component of the Copernicus Land Service, derived from PROBA-V satellite observations and ancillary datasets. The maps include a main discrete classification with 23 classes aligned with UN-FAO's Land Cover Classification System, a set of versatile cover fractions: percentage (%) of ground cover for the 10 main classes a forest type layer quality layers on input data density and on the confidence of the detected land cover change Click here to view the maps More information about the land cover maps Product User Manual
DOI: 10.5281/zenodo.3518025
title: Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2016: Globe

description: Consolidated epoch 2016 from the Collection 3 of annual, global 100m land cover maps. Other available epochs: 2015 2017 2018 2019 Produced by the global component of the Copernicus Land Service, derived from PROBA-V satellite observations and ancillary datasets. The maps include a main discrete classification with 23 classes aligned with UN-FAO's Land Cover Classification System, a set of versatile cover fractions: percentage (%) of ground cover for the 10 main classes a forest type layer quality layers on input data density and on the confidence of the detected land cover change Click here to view the maps More information about the land cover maps Product User Manual
DOI: 10.18112/openneuro.ds003129.v1.0.0
title: MEG-BIDS Brainstorm data sample - Reanonymized
DOI: 10.5517/ccdc.csd.cc23wdr5
title: CCDC 1962757: Experimental Crystal Structure Determination

description: Related Article: Markus Gernert,  Lukas Balles-Wolf,  Florian Kerner,  Ulrich Müller,  Alexander Schmiedel,  Marco Holzapfel,  Christel M. Marian,  Jens Pflaum,  Christoph Lambert,  Andreas Steffen|2020|J.Am.Chem.Soc.|142|8897|doi:10.1021/jacs.0c02234
DOI: 10.5281/zenodo.3518035
title: Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2017: Globe

description: Consolidated epoch 2017 from the Collection 3 of annual, global 100m land cover maps. Other available epochs: 2015 2016 2018 2019 Produced by the global component of the Copernicus Land Service, derived from PROBA-V satellite observations and ancillary datasets. The maps include a main discrete classification with 23 classes aligned with UN-FAO's Land Cover Classification System, a set of versatile cover fractions: percentage (%) of ground cover for the 10 main classes a forest type layer quality layers on input data density and on the confidence of the detected land cover change Click here to view the maps More information about the land cover maps Product User Manual
DOI: 10.22021/bbldntz202008
title: The Linked Open British National Bibliography – Books. 1950/2020-08 – N-Triples
DOI: 10.22021/bbldrdfz202008
title: The Linked Open British National Bibliography – Books. 1950/2020-08 – RDF/XML
DOI: 10.22021/bsldntz202008
title: The Linked Open British National Bibliography – Serials. 1950/2020-08 – N-Triples
DOI: 10.22021/bsldrdfz202008
title: The Linked Open British National Bibliography – Serials. 1950/2020-08 – RDF/XML
DOI: 10.5281/zenodo.4017712
title: Failed software startups postmortem URLs

description: This dataset contains the URL links to the postmortems compiled by CBInsights and avaible in August, 2019 at https://www.cbinsights.com/research/startup-failure-post-mortem/ It consists of 311 URL links to postmortem of startups and an analysis of 106 of those that were considered software startups according to three researchers.
DOI: 10.5281/zenodo.4017711
title: Failed software startups postmortem URLs

description: This dataset contains the URL links to the postmortems compiled by CBInsights and avaible in August, 2019 at https://www.cbinsights.com/research/startup-failure-post-mortem/ It consists of 311 URL links to postmortem of startups and an analysis of 106 of those that were considered software startups according to three researchers.
DOI: 10.22021/bcldntz202008
title: The Linked Open British National Bibliography – Forthcoming Books. 2020-08 – N-Triples
DOI: 10.22021/bcldrdfz202008
title: The Linked Open British National Bibliography – Forthcoming Books. 2020-08 – RDF/XML
DOI: 10.5281/zenodo.3975887
title: ISMRM Reproducible Research Study Group: Data for the paper "CG-SENSE revisited: Results from the first ISMRM reproducibility challenge"

description: Challange data (brain/heart) and supplementary data (cardiac/rawdata_sprial) for the paper "CG-SENSE revisited: Results from the first ISMRM reproducibility challenge".
description: Funding information: Austrian Academy of Sciences, DOC-Fellowship: 24966; NIH (NIBIB) awards R01EB024532, P41EB017183, R21EB027241, U24EB029240.
DOI: 10.5281/zenodo.3975886
title: ISMRM Reproducible Research Study Group: Data for the paper "CG-SENSE revisited: Results from the first ISMRM reproducibility challenge"

description: Challange data (brain/heart) and supplementary data (cardiac/rawdata_sprial) for the paper "CG-SENSE revisited: Results from the first ISMRM reproducibility challenge".
description: Funding information: Austrian Academy of Sciences, DOC-Fellowship: 24966; NIH (NIBIB) awards R01EB024532, P41EB017183, R21EB027241, U24EB029240.
DOI: 10.6084/m9.figshare.10001789
title: The pathogenicity, structural and functional exploration of human HMGB1 single nucleotide polymorphisms using <i>in silico</i> study

description: The human HMGB1 gene mutations have a major impact on several immune-related diseases and cancer. The detrimental effect of non-synonymous mutations of HMGB1 has not been investigated yet, hence the present study aims to examine single nucleotide polymorphisms and their implications on the structure-function of human HMGB1. The multifaceted HMGB1 protein acts as pleiotropic cytokine and regulates essential genes for coordinated cellular functions. The mutational effect on HMGB1 was analyzed by sequence-based homology methods, supervised learning methods, and structure-based methods. The study identified 58 non-synonymous mutations in human HMGB1, out of which only 2 mutations; R10T (rs61742222) and F103C (rs61733675) were classified as the SNPs with highest deleterious and disease-causing mutants. The effect of these mutations in structure of HMGB1 was scrutinized and the R10T mutant found to have a distinct structural behaviour in the B-box domain. In addition, R10T mutant predicted that it affects the MoRF function of HMGB1 and it could disrupt the DNA binding or/and protein partner interaction activity by HMGB1. F103C mutation takes place at the TLR binding and cytokine inducing region of HMGB1, hence it could affect the protein binding activity which involves in many cellular signaling. The study identified potent mutations R10T (a cancer-causing somatic mutation) and F103C (a novel mutation) and these mutations either directly or indirectly hinder DNA binding activity and TLR and cytokine binding of HMGB1. These findings will help in understanding the molecular basis of these promising mutations and functional role of human HMGB1 in cancer and immunological diseases. AbbreviationsAGERAdvanced glycosylation end product-specific receptorCXCLChemokine (C-X-C motif) liganddbSNPThe single nucleotide polymorphism databaseHMGB1High mobility group box 1LINCSLINear Constraint SolverMDSMolecular dynamics simulationMoRFMolecular recognition featuresNPTNumber of particle, Pressure and TemperatureNVTNumber of particle, Volume and TemperaturensSNPNon-synonymous SNPPBCPartial boundary conditionPCAPrincipal component analysisPMEPartial mesh EwaldRMSDRoot mean square deviationRMSFRoot mean square fluctuationSNPSingle nucleotide polymorphismSPCSingle-point chargeTLRToll-like receptorUTRUn-translated Region Advanced glycosylation end product-specific receptor Chemokine (C-X-C motif) ligand The single nucleotide polymorphism database High mobility group box 1 LINear Constraint Solver Molecular dynamics simulation Molecular recognition features Number of particle, Pressure and Temperature Number of particle, Volume and Temperature Non-synonymous SNP Partial boundary condition Principal component analysis Partial mesh Ewald Root mean square deviation Root mean square fluctuation Single nucleotide polymorphism Single-point charge Toll-like receptor Un-translated Region Communicated by Ramaswamy H. Sarma