cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15129/f7404ca9-fd0e-4ef6-a8ad-8372f0ff52db
title: Data for: "High precision integrated photonic thermometry enabled by a transfer printed diamond resonator on a GaN waveguide chip"

description: All data is tabulated in text files, with file names pertaining to the corresponding figures in the paper. An extra file named "Fig9_Read" file is included to explain the data contained in the Fig9 subset, which is a mix of transmission spectra and time trace data. The rest of the data can be easily understoon from the file names, and in each case, simply consists of two columns: wavelength and detector voltage, from which transmission spectra can be reconstructed.
DOI: 10.6084/m9.figshare.15179149
title: Additional file 2 of Retrotransposons as pathogenicity factors of the plant pathogenic fungus Botrytis cinerea

description: Additional file 2:. Tables S1-S12.
DOI: 10.6084/m9.figshare.15179149.v1
title: Additional file 2 of Retrotransposons as pathogenicity factors of the plant pathogenic fungus Botrytis cinerea

description: Additional file 2:. Tables S1-S12.
DOI: 10.6084/m9.figshare.15179167
title: Additional file 2 of Genome-wide association study of individual sugar content in fruit of Japanese pear (Pyrus spp.)

description: Additional file 2: Table S1 The cultivars and individuals used in this study and the performance for fruit traits.
DOI: 10.6084/m9.figshare.15179167.v1
title: Additional file 2 of Genome-wide association study of individual sugar content in fruit of Japanese pear (Pyrus spp.)

description: Additional file 2: Table S1 The cultivars and individuals used in this study and the performance for fruit traits.
DOI: 10.6084/m9.figshare.15179170
title: Additional file 3 of Genome-wide association study of individual sugar content in fruit of Japanese pear (Pyrus spp.)

description: Additional file 3: Table S2. Average values of individual and total sugar contents for each genotype of three SNPs having a large and significant effect on at least one trait.
DOI: 10.6084/m9.figshare.15179170.v1
title: Additional file 3 of Genome-wide association study of individual sugar content in fruit of Japanese pear (Pyrus spp.)

description: Additional file 3: Table S2. Average values of individual and total sugar contents for each genotype of three SNPs having a large and significant effect on at least one trait.
DOI: 10.21227/xz5d-mg81
title: Dataset for Energy Assessment of Collaborative Robots

description: This dataset is used to assess the energy consumption of the collaborative robot UR3e. The dataset consists of six experiments. Different operational conditions are modified in each experiment to determine their influence. The datasets have the following information: recording time, trajectory ID, joints' positions, joints' velocities, motor currents, motor torques, motor voltages, motor temperatures, current, and voltage of the robot. This dataset is used as a study case of a new methodology for energy assessment.
DOI: 10.6084/m9.figshare.15179251
title: Additional file 2 of Antiplatelet drugs for secondary prevention in patients with ischemic stroke or transient ischemic attack: a systematic review and network meta-analysis

description: Additional file 2. League tables from the main analysis for primary and secondary outcomes, from the subgroup analysis for major bleeding and from the sensitivity analysis for primary outcomes. Treatments are reported in the diagonal. Results are reported as odds ratio and relative 95% confidence interval. Comparisons must be read from left to right. On the triangle under the diagonal, an estimate less than 1 favor the column-defining treatment. On the triangle upper the diagonal, an estimate more than 1 favor the row-defining treatment. Significant results are in bold (only in the lower triangle).
DOI: 10.6084/m9.figshare.15179251.v1
title: Additional file 2 of Antiplatelet drugs for secondary prevention in patients with ischemic stroke or transient ischemic attack: a systematic review and network meta-analysis

description: Additional file 2. League tables from the main analysis for primary and secondary outcomes, from the subgroup analysis for major bleeding and from the sensitivity analysis for primary outcomes. Treatments are reported in the diagonal. Results are reported as odds ratio and relative 95% confidence interval. Comparisons must be read from left to right. On the triangle under the diagonal, an estimate less than 1 favor the column-defining treatment. On the triangle upper the diagonal, an estimate more than 1 favor the row-defining treatment. Significant results are in bold (only in the lower triangle).
DOI: 10.6084/m9.figshare.15179269.v1
title: Additional file 3 of Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis

description: Additional file 3.
DOI: 10.6084/m9.figshare.15179266.v1
title: Additional file 2 of Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis

description: Additional file 2.
DOI: 10.6084/m9.figshare.15179269
title: Additional file 3 of Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis

description: Additional file 3.
DOI: 10.6084/m9.figshare.15179266
title: Additional file 2 of Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis

description: Additional file 2.
DOI: 10.6084/m9.figshare.15179270.v1
title: Additional file 10 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 10: Text S3. R-script for the analysis of the number of Aedes albopictus eggs collected in 2012, 2013 [14] and 2019. This R-script has been extracted from the corresponding Rmarkdown file ( https://rmarkdown.rstudio.com/ ). It allows for the full reproducibility of the analysis.
DOI: 10.6084/m9.figshare.15179270
title: Additional file 10 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 10: Text S3. R-script for the analysis of the number of Aedes albopictus eggs collected in 2012, 2013 [14] and 2019. This R-script has been extracted from the corresponding Rmarkdown file ( https://rmarkdown.rstudio.com/ ). It allows for the full reproducibility of the analysis.
DOI: 10.6084/m9.figshare.15179291
title: Additional file 2 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 2: Table S1. Data from ovitraps with Aedes albopictus egg counts, in csv format. Variables included are WGS84.LAT (latitude of trap); WGS84.LNG (longitude of trap); ALTITUDE (altitude of trap); AREA (type of area, i.e. intervention or non-intervention); MUNICIPALITY; Date.when.ovitrap.installed; Date.when.ovitrap.collected; No..Days.ovitrap.in.field; Week.when.ovitrap.collected; No..eggs.AEDES; No..Eggs.AEDES.in.14.days; TRAP.ID.fac (trap identity); Day.ovitrap.collected and no.eggs.normalised.14.days.
DOI: 10.6084/m9.figshare.15179291.v1
title: Additional file 2 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 2: Table S1. Data from ovitraps with Aedes albopictus egg counts, in csv format. Variables included are WGS84.LAT (latitude of trap); WGS84.LNG (longitude of trap); ALTITUDE (altitude of trap); AREA (type of area, i.e. intervention or non-intervention); MUNICIPALITY; Date.when.ovitrap.installed; Date.when.ovitrap.collected; No..Days.ovitrap.in.field; Week.when.ovitrap.collected; No..eggs.AEDES; No..Eggs.AEDES.in.14.days; TRAP.ID.fac (trap identity); Day.ovitrap.collected and no.eggs.normalised.14.days.
DOI: 10.6084/m9.figshare.15179294
title: Additional file 3 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 3: Table S2. Data from Gravid Aedes Traps (GATs) with Aedes albopictus female counts, in csv format. Variables included are WGS84.LAT (latitude of trap); WGS84.LNG (longitude of trap); ALTITUDE (altitude of trap); AREA (type of area, i.e. intervention or non-intervention); MUNICIPALITY; Date.when.GAT.installed; Date.when.GAT.collected; No..Days.GAT.in.field; Week.when.GAT.collected; No..Ad..Albo.in.GAT; No..Ad..Albo.in.14.days; TRAP.ID.fac (trap identity) and Day.GAT.collected.
DOI: 10.6084/m9.figshare.15179294.v1
title: Additional file 3 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 3: Table S2. Data from Gravid Aedes Traps (GATs) with Aedes albopictus female counts, in csv format. Variables included are WGS84.LAT (latitude of trap); WGS84.LNG (longitude of trap); ALTITUDE (altitude of trap); AREA (type of area, i.e. intervention or non-intervention); MUNICIPALITY; Date.when.GAT.installed; Date.when.GAT.collected; No..Days.GAT.in.field; Week.when.GAT.collected; No..Ad..Albo.in.GAT; No..Ad..Albo.in.14.days; TRAP.ID.fac (trap identity) and Day.GAT.collected.
DOI: 10.6084/m9.figshare.15179297
title: Additional file 4 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 4: Table S3. Aedes albopictus egg counts from 2012, 2013 [14] and 2019 in csv format. Variables included are AREA (type of area, i.e. intervention or non-intervention); MUNICIPALITY; TRAP.ID.fac (trap identity); DATE; N.ALBOPICTUS (number of Ae. albopictus eggs); ALTITUDE (altitude of trap); Year; Day (day of the year) and study (Flacio = present study; Suter = Suter et al. [14]).
DOI: 10.6084/m9.figshare.15179297.v1
title: Additional file 4 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 4: Table S3. Aedes albopictus egg counts from 2012, 2013 [14] and 2019 in csv format. Variables included are AREA (type of area, i.e. intervention or non-intervention); MUNICIPALITY; TRAP.ID.fac (trap identity); DATE; N.ALBOPICTUS (number of Ae. albopictus eggs); ALTITUDE (altitude of trap); Year; Day (day of the year) and study (Flacio = present study; Suter = Suter et al. [14]).
DOI: 10.6084/m9.figshare.15179300
title: Additional file 5 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 5: Dataset S1. Data from ovitraps with Aedes albopictus egg counts in 2019, in RDS format ( https://www.r-project.org/ https://www.r-project.org/).
DOI: 10.6084/m9.figshare.15179300.v1
title: Additional file 5 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 5: Dataset S1. Data from ovitraps with Aedes albopictus egg counts in 2019, in RDS format ( https://www.r-project.org/ https://www.r-project.org/).
DOI: 10.6084/m9.figshare.15179303
title: Additional file 6 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 6: Dataset S2. Data from Gravid Aedes Traps (GATs) with Aedes albopictus female counts in 2019, in RDS format ( https://www.r-project.org/ ).
DOI: 10.6084/m9.figshare.15179309
title: Additional file 8 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 8: Text S1. R-script for the analysis of the number of Aedes albopictus eggs collected in 2019. This R-script has been extracted from the corresponding Rmarkdown file ( https://rmarkdown.rstudio.com/ ). It allows for the full reproducibility of the analysis.
DOI: 10.6084/m9.figshare.15179303.v1
title: Additional file 6 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 6: Dataset S2. Data from Gravid Aedes Traps (GATs) with Aedes albopictus female counts in 2019, in RDS format ( https://www.r-project.org/ ).
DOI: 10.6084/m9.figshare.15179306
title: Additional file 7 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 7: Dataset S3. Aedes albopictus egg counts from 2012, 2013 [14] and 2019 in RDS format ( https://www.r-project.org/ ).
DOI: 10.6084/m9.figshare.15179306.v1
title: Additional file 7 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 7: Dataset S3. Aedes albopictus egg counts from 2012, 2013 [14] and 2019 in RDS format ( https://www.r-project.org/ ).
DOI: 10.6084/m9.figshare.15179309.v1
title: Additional file 8 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 8: Text S1. R-script for the analysis of the number of Aedes albopictus eggs collected in 2019. This R-script has been extracted from the corresponding Rmarkdown file ( https://rmarkdown.rstudio.com/ ). It allows for the full reproducibility of the analysis.
DOI: 10.6084/m9.figshare.15179315
title: Additional file 9 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 9: Text S2. R-script for the analysis of the number of Aedes albopictus adult females collected in 2019. This R-script has been extracted from the corresponding Rmarkdown file ( https://rmarkdown.rstudio.com/ ). It allows for the full reproducibility of the analysis.
DOI: 10.6084/m9.figshare.15179315.v1
title: Additional file 9 of Effectiveness of integrated Aedes albopictus management in southern Switzerland

description: Additional file 9: Text S2. R-script for the analysis of the number of Aedes albopictus adult females collected in 2019. This R-script has been extracted from the corresponding Rmarkdown file ( https://rmarkdown.rstudio.com/ ). It allows for the full reproducibility of the analysis.
DOI: 10.6084/m9.figshare.15179034.v1
title: Metal transfer and related human health risk assessment through milk from cattle grazing at industrial discharge area in India

description: This is supporting information for the journal titled "Metal transfer and related human health risk assessment through milk from cattle grazing at industrial discharge area in India"
DOI: 10.6084/m9.figshare.15179034
title: Metal transfer and related human health risk assessment through milk from cattle grazing at industrial discharge area in India

description: This is supporting information for the journal titled "Metal transfer and related human health risk assessment through milk from cattle grazing at industrial discharge area in India"
DOI: 10.6084/m9.figshare.15179396
title: Additional file 2 of Low costs and opportunities for efficiency: a cost analysis of the first year of programmatic PrEP delivery in Kenya’s public sector

description: Additional file 2.
DOI: 10.6084/m9.figshare.15179396.v1
title: Additional file 2 of Low costs and opportunities for efficiency: a cost analysis of the first year of programmatic PrEP delivery in Kenya’s public sector

description: Additional file 2.
DOI: 10.5281/zenodo.5211401
title: Tests for the TEI-CAT

description: Test for the TEI Critical Apparatus Toolbox, along with their outcome and summaries. They are related to an article to be published in RIDE 14.
DOI: 10.5281/zenodo.5211437
title: Assessment of 3D MINFLUX data for quantitative structural biology in cells

description: Reanalysed data for "Assessment of 3D MINFLUX data for quantitative structural biology in cells" https://www.biorxiv.org/content/10.1101/2021.08.10.455294v1 Contact Hell lab for the raw data https://www.mpibpc.mpg.de/hell
DOI: 10.5066/p9ouffks
title: Data for "Serpentinite-rich Gouge in a Creeping Segment of the Bartlett Springs Fault, Northern California: Comparison with SAFOD and Implications for Seismic Hazard"

description: This report presents the mineral chemistry dataset that was used in a published study of serpentinite-rich gouge from an actively creeping trace of the Bartlett Springs Fault in northern California. The fault gouge consists of porphyroclasts of antigorite serpentinite, talc, chlorite, and tremolite-actinolite in a sheared matrix of the same materials. The compositions of spinels in the serpentinite clasts (Table S1) indicate a forearc-peridotite origin for the serpentinite, consistent with a source in the Coast Range ophiolite. The other major minerals in both the porphyroclasts and matrix were analyzed (Table S2) for comparison with serpentinite-bearing gouge from the creeping section of the San Andreas Fault. Table S3 presents serpentine mineral compositions from outcrops of the Coast Range Ophiolite located away from the fault.
DOI: 10.5281/zenodo.5153568
title: T2-weighted Kidney MRI Segmentation

description: A dataset containing 100 T<sub>2</sub>-weighted abdominal MRI scans and manually defined kidney masks. This MRI sequence is designed to optimise contrast between the kidneys and surrounding tissue to increase the accuracy of segmentation. Half of the acquisitions were acquired of healthy control subjects while the other half were acquired from Chronic Kidney Disease (CKD) patients. Ten of the subjects were scanned five times in the same session to enable assessment of the precision of Total Kidney Volume (TKV) measurements. More information about each subject can be found in the included csv file. This dataset was used to train a Convolutional Neural Network (CNN) to automatically segment the kidneys. For more information about the dataset please refer to this article. For an executable that allows automated segmentation of the kidneys from this dataset please refer to this software.
description: {"references": ["Daniel AJ, Buchanan CE, Allcock T, et al. Automated renal segmentation in healthy and chronic kidney disease subjects using a convolutional neural network. Magnetic Resonance in Medicine 2021;86:1125\u20131136 doi: https://doi.org/10.1002/mrm.28768."]}
DOI: 10.5281/zenodo.5153567
title: T2-weighted Kidney MRI Segmentation

description: A dataset containing 100 T<sub>2</sub>-weighted abdominal MRI scans and manually defined kidney masks. This MRI sequence is designed to optimise contrast between the kidneys and surrounding tissue to increase the accuracy of segmentation. Half of the acquisitions were acquired of healthy control subjects while the other half were acquired from Chronic Kidney Disease (CKD) patients. Ten of the subjects were scanned five times in the same session to enable assessment of the precision of Total Kidney Volume (TKV) measurements. More information about each subject can be found in the included csv file. This dataset was used to train a Convolutional Neural Network (CNN) to automatically segment the kidneys. For more information about the dataset please refer to this article. For an executable that allows automated segmentation of the kidneys from this dataset please refer to this software.
description: {"references": ["Daniel AJ, Buchanan CE, Allcock T, et al. Automated renal segmentation in healthy and chronic kidney disease subjects using a convolutional neural network. Magnetic Resonance in Medicine 2021;86:1125\u20131136 doi: https://doi.org/10.1002/mrm.28768."]}
DOI: 10.34740/kaggle/dsv/2533548
title: PISA 2012
DOI: 10.5523/bris.3v8qn83yngm912nqokt8sv7wt0
title: Electron transfer of photoexcited carbazole compounds
title: Carbazole photopolymerization

description: Ultrafast transient absorption spectroscopy datatsets for electron transfer reactions of photoexcited N-ethylcarbazole and 9-phenylcarbazole with iodonium salts.
DOI: 10.25392/leicester.data.15179649
title: University of Leicester COAF compliance report 2019/2020

description: This spreadsheet lists the article level data detailing how the University of Leicester used the Charity Open Access Fund (COAF) between October 2019 and September 2020.
DOI: 10.25392/leicester.data.15179649.v1
title: University of Leicester COAF compliance report 2019/2020

description: This spreadsheet lists the article level data detailing how the University of Leicester used the Charity Open Access Fund (COAF) between October 2019 and September 2020.
DOI: 10.6084/m9.figshare.15104916
title: GPP,GPPsun,GPPshade 1992-2019

description: Here we produced three global-scale products GPP, GPP<sub>shade</sub>, and GPP<sub>sun</sub> at a spatial resolution of 0.05°for three temporal scales (8-day, monthly and annual) from 1992 to 2019 using an improved two-leaf light use efficiency model with an added CO<sub>2</sub> concentration regular scalar and the modified temperature scalar.These products are driven by the GLOBMAP leaf area index, Climatic Research Unit and Japanese reanalysis (CRUJRA) meteorological data, and Climate Change Initiative Land Cover (CCI-LC) data.
DOI: 10.6084/m9.figshare.15104916.v7
title: GPP,GPPsun,GPPshade 1992-2019

description: Here we produced three global-scale products GPP, GPP<sub>shade</sub>, and GPP<sub>sun</sub> at a spatial resolution of 0.05°for three temporal scales (8-day, monthly and annual) from 1992 to 2019 using an improved two-leaf light use efficiency model with an added CO<sub>2</sub> concentration regular scalar and the modified temperature scalar.These products are driven by the GLOBMAP leaf area index, Climatic Research Unit and Japanese reanalysis (CRUJRA) meteorological data, and Climate Change Initiative Land Cover (CCI-LC) data.
DOI: 10.6084/m9.figshare.15104916.v6
title: GPP,GPPsun,GPPshade 1992-2019

description: Here we produced three global-scale products GPP, GPP<sub>shade</sub>, and GPP<sub>sun</sub> at a spatial resolution of 0.05°for three temporal scales (8-day, monthly and annual) from 1992 to 2019 using an improved two-leaf light use efficiency model with an added CO<sub>2</sub> concentration regular scalar and the modified temperature scalar.These products are driven by the GLOBMAP leaf area index, Climatic Research Unit and Japanese reanalysis (CRUJRA) meteorological data, and Climate Change Initiative Land Cover (CCI-LC) data.
DOI: 10.5281/zenodo.5211471
title: Datasets

description: Dataset from Study 1 and Study 2.
DOI: 10.25646/8940
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: 10.6084/m9.figshare.15179766
title: DD alien species list.xlsx

description: Alien species recorded in Taiwanese, Iberian and Australian bird trade market.
DOI: 10.6084/m9.figshare.15179766.v1
title: DD alien species list.xlsx

description: Alien species recorded in Taiwanese, Iberian and Australian bird trade market.
DOI: 10.5281/zenodo.5211257
title: http://www.aes.org/e-lib/browse.cfm?elib=19754

description: Recent progresses made in the nonlinear system identification field have improved the ability to emulate nonlinear audio systems such as tube guitar amplifiers. As a straightforward comparison of different models cannot always be made, we propose a new reference dataset enabling to highlight the strengths and weaknesses of different nonlinear modeling methods. Our dataset gathers five different styles of guitar sounds passing through different guitar amplifiers with 10 steps of their gain parameter (i.e. the distortion level of the amplifier). Moreover, a Matlab function is also provided to obtain the desired input/output sounds in a matrix form. Full paper is available : http://www.aes.org/e-lib/browse.cfm?elib=19754