cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14178710.v1
title: IFC_phenotype

description: This is the phenotypic data corresponding to the plink file, including gender, batch, age and carcass weight.
DOI: 10.6084/m9.figshare.14178710
title: IFC_phenotype

description: This is the phenotypic data corresponding to the plink file, including gender, batch, age and carcass weight.
DOI: 10.6084/m9.figshare.14178872.v1
title: study2-rawdata

description: raw data from papier<br>
DOI: 10.6084/m9.figshare.14176559
title: Data files

description: Data for manuscript<br>
DOI: 10.6084/m9.figshare.14176559.v2
title: Data files

description: Data for manuscript<br>
DOI: 10.6084/m9.figshare.14176559.v1
title: Data files

description: Data for manuscript<br>
DOI: 10.6084/m9.figshare.13320593
title: Metadata record for: Datasets relating inner, outer and total seed mucilage traits in Arabidopsis thaliana natural accessions having atypical outer mucilage

description: This dataset contains key characteristics about the data described in the Data Descriptor Datasets relating inner, outer and total seed mucilage traits in Arabidopsis thaliana natural accessions having atypical outer mucilage. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.13320593.v1
title: Metadata record for: Datasets relating inner, outer and total seed mucilage traits in Arabidopsis thaliana natural accessions having atypical outer mucilage

description: This dataset contains key characteristics about the data described in the Data Descriptor Datasets relating inner, outer and total seed mucilage traits in Arabidopsis thaliana natural accessions having atypical outer mucilage. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.15129/1776202a-4c26-4c74-8b7b-e9fd2d5a2270
title: Data for "Progress in atomic layer deposited a-Ga2O3 materials and solar-blind detectors"

description: Atomic layer deposition (ALD) offers a low thermal budget method for producing α-Ga2O3 films on sapphire substrate. The related paper reviews the recent progress on plasma-enhanced ALD growth of α-Ga2O3 and present the optical and photoconductive properties of the deposited films. The structure of the samples was investigated by X-ray diffraction (XRD) using a PANalytical Empyrean diffractometer with a Cu Kα1 X-ray source. A two-bounce Ge analyser was used for 2θ-ω scans, and a PIXcel detector was used to acquire reciprocal space maps. The atomic structure of the samples was observed using highangle annular dark-field scanning transmission electron microscopy (HAADF-STEM) in an aberration-corrected FEI Titan operated at 200 kV.23 The optical bandgap of the material was obtained using a Shimadzu UV-2600 UV-vis transmittance spectrophotometer equipped with an integrating sphere. The luminescence properties were obtained using room temperature cathodoluminescence (CL) in a JEOL JXA-8530F field-emission electron probe microanalyser (EPMA) operated at 5 kV. Finally, photoelectric characterisation was performed using a Signatone probe station equipped with a Thorlabs Deuterium light source coupled to a SolarLS ML44 monochromator to illuminate the sample with a monochromatic light.
DOI: 10.6084/m9.figshare.13564187
title: Metadata record for: Data-driven curation process for describing the blood glucose management in the intensive care unit

description: This dataset contains key characteristics about the data described in the Data Descriptor Data-driven curation process for describing the blood glucose management in the intensive care unit. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.13564187.v1
title: Metadata record for: Data-driven curation process for describing the blood glucose management in the intensive care unit

description: This dataset contains key characteristics about the data described in the Data Descriptor Data-driven curation process for describing the blood glucose management in the intensive care unit. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.13256699
title: Metadata record for: Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997-2018

description: This dataset contains key characteristics about the data described in the Data Descriptor Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997-2018. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.13256699.v1
title: Metadata record for: Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997-2018

description: This dataset contains key characteristics about the data described in the Data Descriptor Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997-2018. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.15470/abiywl
title: Abundances of Virus-like particles (VLP) resulted in a mesocosm experiment performed in Lake Limnopolar

description: This data are part of the activities for the accurate description of the limnetic systems in Byers Peninsula (Livingston Island), considered one of the most important freshwater zones in the Maritime Antarctica.Data are the abundances of Virus-like particles at different experimental conditions of a mesocosm assay performed in the Lake Limnopolar with the aim to evaluate the role of both biotic and abiotic interactions in the pelagic community
DOI: 10.5281/zenodo.4432116
title: Day-to-day discovery of preprint–publication links

description: Supplementary materials to: Cabanac, G., Oikonomidi, T., Boutron, I. (to appear). Day-to-day discovery of preprint–publication links. <em>Scientometrics</em>. https://doi.org/10.1007/s11192-021-03900-7
DOI: 10.5281/zenodo.4432115
title: Day-to-day discovery of preprint–publication links

description: Supplementary materials to: Cabanac, G., Oikonomidi, T., Boutron, I. (to appear). Day-to-day discovery of preprint–publication links. <em>Scientometrics</em>. https://doi.org/10.1007/s11192-021-03900-7
DOI: 10.23729/b1057c04-81b5-4c40-8a48-73443bdb6f39
title: BATCircle preview

description: Samples from BATCircle battery minerals project. Haveri cobaltite is a sample from the proposed Haveri gold mine, that does not contain any gold, but does contain massive cobaltite. PAL-samples are on loan from Mawson Gold and are from the Palokas deposit in Rajapalo prospect. They contain cobalt minerals, such as cobaltite, which is visible in CT, and linnaeite, which is not. They are the first drillcore samples to reveal the recently discovered cobalt mineralization. Preview of PAS-dataset https://doi.org/10.23729/4cb3923c-a42a-494a-a6df-7cff32610cbd
DOI: 10.25678/00037x
title: Data for: Predictive models using “cheap and easy” field measurements: Can they fill a gap in planning, monitoring, and implementing fecal sludge management solutions?

description: The characteristics of fecal sludge delivered to treatment plants are highly variable. Adapting treatment process operations accordingly is challenging due to a lack of analytical capacity for characterization and monitoring at many treatment plants. Cost-efficient and simple field measurements such as photographs and probe readings could be proxies for process control parameters that normally require laboratory analysis. To investigate this, we evaluated questionnaire data, expert assessments, and simple analytical measurements for fecal sludge collected from 421 onsite containments. This data served as inputs to models of varying complexity. Random forest and linear regression models were able to predict physical-chemical characteristics including total solids (TS) and ammonium (NH4+-N) concentrations, and solid-liquid separation performance including settling efficiency and filtration time (R2 from 0.51-0.66) based on image analysis of photographs (sludge color, supernatant color, and texture) and probe readings (conductivity (EC) and pH). Supernatant color was the best predictor of settling efficiency and filtration time, EC was the best predictor of NH4+-N, and texture was the best predictor of TS. Predictive models have the potential to be applied for real-time monitoring and process control if a database of measurements is developed and models are validated in other cities. Simple decision tree models based on the single classifier of containment type can also be used to make predictions about citywide planning, where a lower degree of accuracy is required.
DOI: 10.23729/6e74f321-dc7b-40f5-9391-07bd072ef086
title: GeoKT liberation preview

description: Samples from BATCircle battery minerals project. Haveri cobaltite is a sample from the proposed Haveri gold mine, that does not contain any gold, but does contain massive cobaltite. PAL-samples are on loan from Mawson Gold and are from the Palokas deposit in Rajapalo prospect. They contain cobalt minerals, such as cobaltite, which is visible in CT, and linnaeite, which is not. They are the first drillcore samples to reveal the recently discovered cobalt mineralization. Preview of PAS-dataset https://doi.org/10.23729/4cb3923c-a42a-494a-a6df-7cff32610cbd
DOI: 10.34892/qdb8-bh36
title: Above and below ground biomass carbon and soil organic carbon
DOI: 10.6084/m9.figshare.13213823
title: Maximum height of mountain forests abruptly decreases above an elevation breakpoint

description: Dataset for the manuscript "Maximum height of mountain forests abruptly decreases above an elevation breakpoint". The dataset includes, for the whole Spanish Pyrenees, information on maximum tree height, terrain elevation, tree species composition and ancillary information on terrain aspect and slope, continentality, and several soil-related variables as gathered from SoilGrids.<br>The dataset contains two data frames, one that defines maximum tree height with percentile 90, and a second one with percentile 95. Each row corresponds to a 20x20m cell in a grid covering the Spanish Pyrenees
DOI: 10.17028/rd.lboro.14178899
title: Supplementary information files for A monolithic single-chip point-of-care platform for metabolomic prostate cancer detection

description: Supplementary files for article A monolithic single-chip point-of-care platform for metabolomic prostate cancer detection. There is a global unmet need for rapid and cost-effective prognostic and diagnostic tools that can be used at the bedside or in the doctor’s office to reduce the impact of serious disease. Many cancers are diagnosed late, leading to costly treatment and reduced life expectancy. With prostate cancer, the absence of a reliable test has inhibited the adoption of screening programs. We report a microelectronic point-of-care metabolite biomarker measurement platform and use it for prostate cancer detection. The platform, using an array of photodetectors configured to operate with targeted, multiplexed, colorimetric assays confined in monolithically integrated passive microfluidic channels, completes a combined assay of 4 metabolites in a drop of human plasma in under 2 min. A preliminary clinical study using L-amino acids, glutamate, choline, and sarcosine was used to train a cross-validated random forest algorithm. The system demonstrated sensitivity to prostate cancer of 94% with a specificity of 70% and an area under the curve of 0.78. The technology can implement many similar assay panels and hence has the potential to revolutionize low-cost, rapid, point-of-care testing.<br>
DOI: 10.15132/10000164
title: Supporting data for “A Systematic Study of the In Vitro Pharmacokinetics and Estimated Human In Vivo Clearance of Indole and Indazole-3-Carboxamide Synthetic Cannabinoid Receptor Agonists Detected on the Illicit Drug Market”

description: This dataset comprises supporting information for the peer-reviewed manuscript: A Systematic Study of the In Vitro Pharmacokinetics and Estimated Human In Vivo Clearance of Indole and Indazole-3-Carboxamide Synthetic Cannabinoid Receptor Agonists Detected on the Illicit Drug Market published in the journal ‘Molecules’.
DOI: 10.34892/rh7v-hg80
title: Above and below ground biomass carbon
DOI: 10.6084/m9.figshare.14135219
title: Data supporting Morrish et al. (2021) Frontiers in Cell and Developmental Biology

description: Data supporting "Single cell label-free probing of chromatin dynamics during B lymphocyte maturation", submitted to Frontiers in Cell and Developmental Biology.
DOI: 10.6084/m9.figshare.14178956
title: Shared_Data_rsFC_Premature_UdA.7z

description: Measures of MRI-based BOLD signals, resting-state functional connectivity, functional activity (fALFF) and regional tissue volume (evaluated using Deformation Based Morphometry), in a set of 90 cortical and subcortical brain regions of the UNC infant atlas.<br>The measures were extracted on anatomical and functional MRIs scans acquired at term-equivalent age on 88 newborns with varying gestational age (GA) at birth. The scans were performed at University G. D'Annunzio of Chieti-Pescara, Chieti, Italy
DOI: 10.6084/m9.figshare.14178956.v1
title: Shared_Data_rsFC_Premature_UdA.7z

description: Measures of MRI-based BOLD signals, resting-state functional connectivity, functional activity (fALFF) and regional tissue volume (evaluated using Deformation Based Morphometry), in a set of 90 cortical and subcortical brain regions of the UNC infant atlas.<br>The measures were extracted on anatomical and functional MRIs scans acquired at term-equivalent age on 88 newborns with varying gestational age (GA) at birth. The scans were performed at University G. D'Annunzio of Chieti-Pescara, Chieti, Italy
DOI: 10.6084/m9.figshare.14178977.v1
title: Structure-based virtual screening, molecular dynamics and binding affinity calculations of some potential phytocompounds against SARS-CoV-2

description: COVID-19 caused by a positive-sense single stranded RNA virus named as severe acute respiratory syndrome-Coronavirus-2 (SARS-CoV-2) triggered the global pandemic. This virus has infected about 10.37 Crores and taken lives of 2.24 Crores people of 213 countries to date. To cope-up this emergency clinical trials are undergoing with some existing drugs like remdesivir, flavipiravir, lopinavir-ritonavir, nafamostat, doxycycline, hydroxy-chloroquine, dexamethasone, etc., despite their severe toxicity and health hazards among diabetics, hypertensive, cardiac patients or normal individuals. The lack of safe and approved treatment for COVID-19 has forced the scientific community to find novel and safe compounds with potential efficacy. This study evaluates a few selective herbal compounds like glucoraphanin, vitexin, niazinin, etc., as a potential inhibitor of the spike protein and 3-chymotrypsin-like protease (3CLpro) or main protease (Mpro) of SARS-COV-2 through <i>in-silico</i> virtual studies such as molecular docking, target analysis, toxicity prediction and ADME prediction and supported by a Molecular-Dynamic simulation. Selective phytocompounds were docked successfully in the binding site of spike glycoprotein and 3CLpro (Mpro) of SARS-CoV-2. In-silico approaches also predict this molecule to have good solubility, pharmacodynamic property and target accuracy through MD simulation and ADME studies. These hit molecules niazinin, vitexin, glucoraphanin also obey Lipinski’s rule along with their stable binding towards target protein of the virus, which makes them suitable for further biochemical and cell-based assays followed by clinical investigations to highlight their potential use in COVID-19 treatment. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.14178977
title: Structure-based virtual screening, molecular dynamics and binding affinity calculations of some potential phytocompounds against SARS-CoV-2

description: COVID-19 caused by a positive-sense single stranded RNA virus named as severe acute respiratory syndrome-Coronavirus-2 (SARS-CoV-2) triggered the global pandemic. This virus has infected about 10.37 Crores and taken lives of 2.24 Crores people of 213 countries to date. To cope-up this emergency clinical trials are undergoing with some existing drugs like remdesivir, flavipiravir, lopinavir-ritonavir, nafamostat, doxycycline, hydroxy-chloroquine, dexamethasone, etc., despite their severe toxicity and health hazards among diabetics, hypertensive, cardiac patients or normal individuals. The lack of safe and approved treatment for COVID-19 has forced the scientific community to find novel and safe compounds with potential efficacy. This study evaluates a few selective herbal compounds like glucoraphanin, vitexin, niazinin, etc., as a potential inhibitor of the spike protein and 3-chymotrypsin-like protease (3CLpro) or main protease (Mpro) of SARS-COV-2 through <i>in-silico</i> virtual studies such as molecular docking, target analysis, toxicity prediction and ADME prediction and supported by a Molecular-Dynamic simulation. Selective phytocompounds were docked successfully in the binding site of spike glycoprotein and 3CLpro (Mpro) of SARS-CoV-2. In-silico approaches also predict this molecule to have good solubility, pharmacodynamic property and target accuracy through MD simulation and ADME studies. These hit molecules niazinin, vitexin, glucoraphanin also obey Lipinski’s rule along with their stable binding towards target protein of the virus, which makes them suitable for further biochemical and cell-based assays followed by clinical investigations to highlight their potential use in COVID-19 treatment. Communicated by Ramaswamy H. Sarma
DOI: 10.5281/zenodo.4588590
title: Reproduction package for paper "Forecasts for detecting the gravitational-wave memory effect with Advanced LIGO and Virgo"

description: This is a basic reproduction package for the paper "Forecasts for detecting the gravitational-wave memory effect with Advanced LIGO and Virgo".
description: O. M. B. acknowledges funding from Vici research program "ARGO" with Project No. 639.043.815, financed by the Dutch Research Council (NWO). D. A. N. acknowledges the support of the Netherlands Organization for Scientific Research through the NWO VIDI Grant No. 639.042.612-Nissanke. P. S. acknowledges NWO Veni Grant No. 680-47-460.
DOI: 10.5281/zenodo.3724442
title: Reproduction package for paper "Forecasts for detecting the gravitational-wave memory effect with Advanced LIGO and Virgo"

description: This is a basic reproduction package for the paper "Forecasts for detecting the gravitational-wave memory effect with Advanced LIGO and Virgo".
description: O. M. B. acknowledges funding from Vici research program "ARGO" with Project No. 639.043.815, financed by the Dutch Research Council (NWO). D. A. N. acknowledges the support of the Netherlands Organization for Scientific Research through the NWO VIDI Grant No. 639.042.612-Nissanke. P. S. acknowledges NWO Veni Grant No. 680-47-460.
DOI: 10.25646/8122
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.4588603
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 32

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.5281/zenodo.4588602
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 32

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.5281/zenodo.3992324
title: Software Open Access Maximal-Sum Submatrix search using a hybrid Contraint Programming/Linear Programming approach: experiment code and results

description: Experiments (made with Snakemake) code & results for the paper " Software Open Access Maximal-Sum Submatrix search using a hybrid Contraint Programming/Linear Programming approach" under review at EJOR.
DOI: 10.5281/zenodo.3992323
title: Software Open Access Maximal-Sum Submatrix search using a hybrid Contraint Programming/Linear Programming approach: experiment code and results

description: Experiments (made with Snakemake) code & results for the paper " Software Open Access Maximal-Sum Submatrix search using a hybrid Contraint Programming/Linear Programming approach" under review at EJOR.
DOI: 10.5281/zenodo.4588612
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 33

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.5281/zenodo.4588611
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 33

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.6084/m9.figshare.14179064.v1
title: New model

description: New model <br>
DOI: 10.6084/m9.figshare.14179064
title: New model

description: New model <br>
DOI: 10.5281/zenodo.4588626
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 34

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.5281/zenodo.4588625
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 34

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.5281/zenodo.4588632
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 35

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.5281/zenodo.4588631
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 35

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.5281/zenodo.4588644
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 36

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.5281/zenodo.4588643
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 36

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.5281/zenodo.4588658
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 37

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.5281/zenodo.4588657
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 37

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.5281/zenodo.4588672
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 38

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.5281/zenodo.4588671
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 38

description: These data were collected from FIDIA machine tool controller during milling operation.
DOI: 10.5281/zenodo.4588684
title: PROGRAMS project. Machine tool data from Aurrenak S. Coop. on 2020 Week 10

description: These data were collected from FIDIA machine tool controller during milling operation.