cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12279449.v1
title: Additional file 4 of The trinity of ecological contrasts: a case study on rich insect assemblages by means of species, functional and phylogenetic diversity measures

description: Additional file 4. List of values for 27 species traits for 447 moth species sampled in automated light-traps at 28 floodplain forest sites in 3 riverine landscapes in easternmost Austria. For the sources extracted and the definition and scoring of the traits, see Additional file 5.
DOI: 10.6084/m9.figshare.12279353
title: SmartCardData.csv

description: smart card datametro-to-bus transfer trips
DOI: 10.6084/m9.figshare.12279347
title: validation(186)

description: Validation dataSet
DOI: 10.6084/m9.figshare.12279329
title: validation(20000)

description: validation dataset
DOI: 10.6084/m9.figshare.12279347.v1
title: validation(186)

description: Validation dataSet
DOI: 10.6084/m9.figshare.12279350
title: validation(1000)

description: Validation dataset
DOI: 10.6084/m9.figshare.12279329.v1
title: validation(20000)

description: validation dataset
DOI: 10.6084/m9.figshare.12279353.v1
title: SmartCardData.csv

description: smart card data
DOI: 10.6084/m9.figshare.12279311
title: Literature Review for Research Articles Citing Reeve 1989 from The evolution of conspecific acceptance threshold models

description: Information on research articles citing Reeve 1989 as obtained from Web of Science
DOI: 10.6084/m9.figshare.12279314
title: smallUnBalanceData

description: small unbalance dataset
DOI: 10.6084/m9.figshare.12279305
title: smallBalanceData

description: small balance dataset
DOI: 10.6084/m9.figshare.12279314.v1
title: smallUnBalanceData

description: small unbalance dataset
DOI: 10.6084/m9.figshare.12279353.v2
title: SmartCardData.csv

description: smart card data
DOI: 10.6084/m9.figshare.12279287
title: bigUnBalanceData

description: big unbalance dataset.
DOI: 10.6084/m9.figshare.12279305.v1
title: smallBalanceData

description: small balance dataset
DOI: 10.6084/m9.figshare.12279272
title: Attribution of extreme mass loss of New Zealand glaciers

description: Using extreme event attribution methods and glacier surface mass balance modeling (with a degree day model with added radiation calculation) to calculate the anthropogenic influence on extreme glacier mass-loss years. See the github page for READMEs and additional information.<br>This repository includes:1) code for preparing and adjusting the climate data (input into the glacier model): glacier_attribution/climate_data<br><br>2) the glacier model code (including code for model calibration): glacier_attribution/glacier_model/degree_day<br>3) the code for working with output of modeled mass balance and calculating attributions: glacier_attribution/output_climscen<br><br>The data from the attribution calculations is included in the subdirectories in glacier_attribution/output_climscen
DOI: 10.6084/m9.figshare.12279293
title: bigBalanceData

description: big balance dataset.
DOI: 10.6084/m9.figshare.12279353.v3
title: SmartCardData.csv

description: smart card data
DOI: 10.6084/m9.figshare.12279257
title: Data highway to the sea.xlsx

description: Highway infrastructure is a source of multiple environmental problems, where wildlife roadkills is the most noticeable impact. However, little research has focused on understanding how road design affects wildlife mortality. On a highway in the central Andes of Colombia, we tested whether the geometric design, it is horizontal alignment and vertical curves influence the mortality of vertebrate animals on the road. We determined the number of straight lines, circular, transition curves and vertical convex curves along the entire route of the highway (13.9 km), and between April 2018 and December 2019 we made 4 weekly tours in search of wildlife roadkills. With records, we related and compared groups of animal deaths and road shapes. We got 95 roadkills; the shape in which most of the deaths were found was straight line (58 deaths), however, when the mortality rate per meter of route was obtained on the shape units, we found that the circular and transition curves presented 2 an 3 times (respectively) a higher mortality rate than straight lines. Curved sections are presented as more dangerous geometric designs than straight lines for wildlife, regardless of their length on the road. Our research provides information necessary to take into account the relationship of geometric road design in the development of management and conservation plans of altered ecosystems with road infrastructure.
DOI: 10.6084/m9.figshare.12279266
title: Next Generation Matrix Approach to Mask Use for COVID-19

description: This dataset and accompanying documentation represent a refinement of earlier work using a next generation matrix approach to project the impact of of masks on dynamics of COVID-19 transmission.
DOI: 10.6084/m9.figshare.12279272.v1
title: Attribution of extreme mass loss of New Zealand glaciers

description: Using extreme event attribution methods and glacier surface mass balance modeling (with a degree day model with added radiation calculation) to calculate the anthropogenic influence on extreme glacier mass-loss years. See the github page for READMEs and additional information.<br>This repository includes:1) code for preparing and adjusting the climate data (input into the glacier model): glacier_attribution/climate_data<br><br>2) the glacier model code (including code for model calibration): glacier_attribution/glacier_model/degree_day<br>3) the code for working with output of modeled mass balance and calculating attributions: glacier_attribution/output_climscen<br><br>The data from the attribution calculations is included in the subdirectories in glacier_attribution/output_climscen
DOI: 10.6084/m9.figshare.12279293.v1
title: bigBalanceData

description: big balance dataset.
DOI: 10.6084/m9.figshare.12279287.v1
title: bigUnBalanceData.csv

description: big unbalance dataset.
DOI: 10.6084/m9.figshare.12279287.v2
title: bigUnBalanceData

description: big unbalance dataset.
DOI: 10.6084/m9.figshare.12279149
title: UVM Grade Students

description: UVM grade of the students
DOI: 10.6084/m9.figshare.12279125
title: Ilyanoy_Data.xlsx

description: Adjusted and non-adjusted multiples
DOI: 10.6084/m9.figshare.12279125.v1
title: Ilyanoy_Data.xlsx

description: Adjusted and non-adjusted multiples
DOI: 10.6084/m9.figshare.12279149.v2
title: UVM Grade Students

description: UVM grade of the students
DOI: 10.6084/m9.figshare.12279149.v1
title: UVM Grade Students

description: UVM grade of the students
DOI: 10.6084/m9.figshare.12278918
title: 2.tar.gz

description: 2/23 GC
DOI: 10.6084/m9.figshare.12278912
title: Use Case Ontology OWL File

description: This file has <br>
DOI: 10.6084/m9.figshare.12278915
title: 1.tar.gz

description: 1/23 GC
DOI: 10.6084/m9.figshare.12278918.v1
title: 2.tar.gz

description: 2/23 GC
DOI: 10.6084/m9.figshare.12278909
title: Messwerte.xlsx

description: Here are my data sets regarding measuring temperature, volume and pressure to investigate the behaivor of real gases.
DOI: 10.6084/m9.figshare.12278912.v1
title: Use Case Ontology OWL File

description: This file has <br>
DOI: 10.6084/m9.figshare.12278915.v1
title: 1.tar.gz

description: 1/23 GC
DOI: 10.6084/m9.figshare.12278819
title: sphinx_034.tar.gz

description: CAPTCHA 34/34 last one
DOI: 10.6084/m9.figshare.12278810
title: Biological complex identifier mappings (release 2020-05-10)

description: Biological complex identifier mappings based on data in Wikidata added by Birgit Meldal and Andra Waagmeester. This maps identifiers of the Complex Portal, Reactome, and Wikidata. This data deposit was released as part of the April 2020 Virtual BioHackathon.
DOI: 10.6084/m9.figshare.12278819.v1
title: sphinx_034.tar.gz

description: CAPTCHA 34/34 last one
DOI: 10.6084/m9.figshare.12278810.v1
title: Biological complex identifier mappings (release 2020-05-10)

description: Biological complex identifier mappings based on data in Wikidata added by Birgit Meldal and Andra Waagmeester. This maps identifiers of the Complex Portal, Reactome, and Wikidata. This data deposit was released as part of the April 2020 Virtual BioHackathon.
DOI: 10.6084/m9.figshare.12278795
title: Sampling_Phase_function_in_MoteCarlo_DuLe.pdf

description: How to sample phase function in Monte Carlo simulations
DOI: 10.17608/k6.auckland.12278786
title: Model validation data from 2018 to 2020

description: This dataset was used to validate the global distribution of kelp biome model. These data were downloaded from the GBIF online database and cleaned to maintain highest georeference accuracy. The MaxEnt probability values of each record were given in the last column. <br>
DOI: 10.6084/m9.figshare.12278774
title: paramecium_rdr1,2_aa_masked

description: Masked amino acid alignment from Paramecium.<br> Data corresponds to RNAi pathway components Rdr1 and Rdr2.
DOI: 10.6084/m9.figshare.12278795.v1
title: Sampling_Phase_function_in_MoteCarlo_DuLe.pdf

description: How to sample phase function in Monte Carlo simulations
DOI: 10.17608/k6.auckland.12278786.v2
title: Model validation data from 2018 to 2020

description: This dataset was used to validate the global distribution of kelp biome model. These data were downloaded from the GBIF online database and cleaned to maintain highest georeference accuracy. The MaxEnt probability values of each record were given in the last column. <br>
DOI: 10.6084/m9.figshare.12278768
title: paramecium_cid1,2_aa_aligned

description: Amino acid alignment from Paramecium.<br>Data corresponds to RNAi pathway components Cid1 and Cid2.
DOI: 10.6084/m9.figshare.12278771
title: paramecium_cid1,2_aa_masked

description: Masked amino acid alignment from Paramecium.<br>Data corresponds to RNAi pathway components Cid1 and Cid2. <br>
DOI: 10.6084/m9.figshare.12278771.v1
title: paramecium_cid1,2_aa_masked

description: Masked amino acid alignment from Paramecium.<br>Data corresponds to RNAi pathway components Cid1 and Cid2. <br>
DOI: 10.6084/m9.figshare.12278774.v2
title: paramecium_rdr1,2_aa_masked

description: Masked amino acid alignment from Paramecium.<br> Data corresponds to RNAi pathway components Rdr1 and Rdr2.
DOI: 10.17608/k6.auckland.12278786.v1
title: Model validation data from 2018 to 2020

description: This dataset was used to validate the global distribution of kelp biome model. These data were downloaded from the GBIF online database and cleaned to maintain highest georeference accuracy. The MaxEnt probability values of each record were given in the last column. <br>
DOI: 10.6084/m9.figshare.12278765
title: paramecium_rdr1,2_aa

description: Amino acid sequence data from Paramecium.<br>Data corresponds to RNAi pathway components Rdr1 and Rdr2.
DOI: 10.6084/m9.figshare.12278774.v1
title: paramecium_rdr1,2_aa_masked.fas

description: Masked amino acid alignment from Paramecium, corresponding to RNAi pathway components, Rdr1 and Rdr2<br>
DOI: 10.6084/m9.figshare.12278762
title: paramecium_cid1,2_aa

description: Amino acid sequence data from Paramecium.<br>Data corresponds to RNAi pathway components Cid1 and Cid2.
DOI: 10.6084/m9.figshare.12278759
title: paramecium_rdr1,2_aa_aligned

description: Amino acid alignment from Paramecium.<br> Data corresponds to RNAi pathway components Rdr1 and Rdr2.
DOI: 10.6084/m9.figshare.12278768.v2
title: paramecium_cid1,2_aa_aligned

description: Amino acid alignment from Paramecium.<br>Data corresponds to RNAi pathway components Cid1 and Cid2.
DOI: 10.6084/m9.figshare.12278759.v1
title: paramecium_rdr1,2_aa_aligned

description: Amino acid alignment from Paramecium.<br> Data corresponds to RNAi pathway components Rdr1 and Rdr2.
DOI: 10.6084/m9.figshare.12278762.v1
title: paramecium_cid1,2_aa

description: Amino acid sequence data from Paramecium.<br>Data corresponds to RNAi pathway components Cid1 and Cid2.
DOI: 10.6084/m9.figshare.12278765.v1
title: paramecium_rdr1,2_aa

description: Amino acid sequence data from Paramecium.<br>Data corresponds to RNAi pathway components Rdr1 and Rdr2.
DOI: 10.6084/m9.figshare.12278768.v1
title: paramecium_cid1,2_aligned_aa

description: Amino acid alignment from Paramecium.<br>Data corresponds to RNAi pathway components, Cid1 and Cid2.
DOI: 10.6084/m9.figshare.12278747
title: data.csv

description: This file contains the dataset of statistical parameters of control and inflammated macrophages and trophoblasts. We have extracted number of parameters such as maximum phase, optical thickness (OT), area of the cell, mean, variance, entropy, kurtosis and skewness. These parameters are derived from the quantitative phase maps of the specimen. We have extracted information from 201 cells of each class and used this data as input of support vector machine based classifier for the classification of control and inflammation stages of the cells. Data_1 file is corresponding to macrophages and data_2 is corresponding to trophoblasts. Their class is also defined in the last column of the dataset i.e. 0 for control and 1 for inflammated one.
DOI: 10.6084/m9.figshare.12278753
title: paramecium_dcr1_aa_aligned

description: Amino acid alignment from Paramecium.<br>Data corresponds to RNAi pathway component Dcr1.
DOI: 10.6084/m9.figshare.12278756
title: paramecium_dcr1_aa_masked

description: Masked amino acid alignment from Paramecium.<br>Data corresponds to RNAi pathway component Dcr1.
DOI: 10.6084/m9.figshare.12278750
title: paramecium_dcr1_aa

description: Amino acid sequence data from Paramecium.<br>Data corresponds to RNAi pathway component Dcr1.
DOI: 10.6084/m9.figshare.12278753.v1
title: paramecium_dcr1_aa_aligned

description: Amino acid alignment from Paramecium.<br>Data corresponds to RNAi pathway component Dcr1.
DOI: 10.6084/m9.figshare.12278756.v1
title: paramecium_dcr1_aa_masked

description: Masked amino acid alignment from Paramecium.<br>Data corresponds to RNAi pathway component Dcr1.
DOI: 10.6084/m9.figshare.12278702
title: HS borehole tracer profile.xlsx

description: Data belonging to "Groundwater salinization and flushing during glacial-interglacial cycles: insights from aquitard porewater tracer profiles in the North China Plain, China"<br>
DOI: 10.6084/m9.figshare.12278693
title: PubMed-DOI identifier mappings for BridgeDb

description: PubMed-DOI identifier mappings for articles cited by WikiPathways and Reactome.
DOI: 10.6084/m9.figshare.12278747.v2
title: data.csv

description: This file contains the dataset of statistical parameters of control and inflammated macrophages and trophoblasts. We have extracted number of parameters such as maximum phase, optical thickness (OT), area of the cell, mean, variance, entropy, kurtosis and skewness. These parameters are derived from the quantitative phase maps of the specimen. We have extracted information from 201 cells of each class and used this data as input of support vector machine based classifier for the classification of control and inflammation stages of the cells. Data_1 file is corresponding to macrophages and data_2 is corresponding to trophoblasts. Their class is also defined in the last column of the dataset i.e. 0 for control and 1 for inflammated one.
DOI: 10.6084/m9.figshare.12278747.v1
title: data_2.csv

description: This file contains the dataset of statistical parameters of control and inflammated macrophages and trophoblasts. These parameters are derived from the quantitative phase maps of the specimen. We have extracted information from 201 cells of each class and used this data as input of support vector machine based classifier for the classification of control and inflammation stages of the cells. Data_1 file is corresponding to macrophages and data_2 is corresponding to trophoblasts. Their class is also defined in the last column of the dataset i.e. 0 for control and 1 for inflammated one.
DOI: 10.6084/m9.figshare.12278693.v1
title: publications_20200510.bridge

description: PubMed-DOI identifier mappings for articles cited by WikiPathways and Reactome.
DOI: 10.6084/m9.figshare.12278663
title: Dublin Core Type 1.1

description: This dataset contains the KB file of Dublin Core Type ontology version 1.1 .
DOI: 10.6084/m9.figshare.12278693.v3
title: PubMed-DOI identifier mappings for BridgeDb

description: PubMed-DOI identifier mappings for articles cited by WikiPathways and Reactome.
DOI: 10.6084/m9.figshare.12278693.v2
title: PubMed-DOI identifier mappings for BridgeDb

description: PubMed-DOI identifier mappings for articles cited by WikiPathways and Reactome.
DOI: 10.6084/m9.figshare.12278663.v1
title: Dublin Core Type 1.1

description: This dataset contains the KB file of Dublin Core Type ontology version 1.1 .
DOI: 10.6084/m9.figshare.12278627
title: Dublin Core Elements 1.1 KB

description: This dataset contains the KB file of Dublin Core Elements 1.1
DOI: 10.6084/m9.figshare.12278636
title: Dublin Core Terms 1.1

description: This dataset contains the KB file of Dublin Core Terms 1.1
DOI: 10.6084/m9.figshare.12278684.v1
title: Improving terrestrial evapotranspiration estimation across China during 2000-2018 with machine learning methods

description: This dataset is produced by the paper (Improving terrestrial evapotranspiration estimation across China during 2000-2018 with mechine learning methods). We used the random forest to merge five process-based ET model.The data in distinct Geotiff file are named as ‘RF_yy_dd_ET.tif’, where ‘yy’ and ‘dd’ denote year, order. The order is from 1 to 36. There are 3 issues per month. Assuming there are N days in this month, the unit of the first 2 issues is mm/10day, and the unit of the third issue is mm/(N-20) day. The scale factor is 0.01.
DOI: 10.6084/m9.figshare.12278642
title: Dublin Core Abstract Model (DCAM)

description: This dataset contains the KB file of Dublin Core Abstract Model (DCAM) version 1.1
DOI: 10.6084/m9.figshare.12278636.v1
title: Dublin Core Terms 1.1

description: This dataset contains the KB file of Dublin Core Terms 1.1
DOI: 10.6084/m9.figshare.12278642.v1
title: Dublin Core Abstract Model (DCAM)

description: This dataset contains the KB file of Dublin Core Abstract Model (DCAM) version 1.1
DOI: 10.6084/m9.figshare.12278684.v2
title: Improving terrestrial evapotranspiration estimation across China during 2000-2018 with machine learning methods

description: This dataset is produced by the paper (Improving terrestrial evapotranspiration estimation across China during 2000-2018 with mechine learning methods). We used the random forest to merge five process-based ET model.The data in distinct Geotiff file are named as ‘RF_yy_dd_ET.tif’, where ‘yy’ and ‘dd’ denote year, order. The order is from 1 to 36. There are 3 issues per month. Assuming there are N days in this month, the unit of the first 2 issues is mm/10day, and the unit of the third issue is mm/(N-20) day. The scale factor is 0.01.
DOI: 10.6084/m9.figshare.12278525
title: Additional file 3 of Predicting the potential distribution of the parasitic Cuscuta chinensis under global warming

description: Additional file 3: Table S1. 443 valid records used for this study.
DOI: 10.6084/m9.figshare.12278516
title: Additional file 2 of Dental anomalies as a possible clue of 1p36 deletion syndrome due to germline mosaicism: a case report

description: Additional file 2. Clinical Exome Sequencing (SOPHiA) of the patient 1. Table summarizes genes analysed and the coverage for each exon. No pathogenic/likely pathogenic variants were identified in candidate genes (WNT10A, MSX1, LRP6, WNT10B, PAX9, EDA, AXIN2, EDARADD, FGFR1, IRF6) or in genes included in the virtual panel generated by SOPHiA Software (SOPHiA-DDM-v4) using the following HPO terms: oligodontia; dental anomalies (virtual panel: ANKRD11; AXIN2; BCOR; CCBE1; CLDN1; EDA; EDARADD; FAT4; KCNJ5; POLR3A; RNU4ATAC; FGFR1; HOXD13; IRF6; KCNJ2; LRP6; LTBP3; MSX1; NAA10; PAX9; POLR1C; POLR3B; PORCN; PTHLH; SATB2; SH3BP2; SLC29A3; TGFA; TP63; WNT10A).
DOI: 10.6084/m9.figshare.12278525.v1
title: Additional file 3 of Predicting the potential distribution of the parasitic Cuscuta chinensis under global warming

description: Additional file 3: Table S1. 443 valid records used for this study.
DOI: 10.6084/m9.figshare.12278516.v1
title: Additional file 2 of Dental anomalies as a possible clue of 1p36 deletion syndrome due to germline mosaicism: a case report

description: Additional file 2. Clinical Exome Sequencing (SOPHiA) of the patient 1. Table summarizes genes analysed and the coverage for each exon. No pathogenic/likely pathogenic variants were identified in candidate genes (WNT10A, MSX1, LRP6, WNT10B, PAX9, EDA, AXIN2, EDARADD, FGFR1, IRF6) or in genes included in the virtual panel generated by SOPHiA Software (SOPHiA-DDM-v4) using the following HPO terms: oligodontia; dental anomalies (virtual panel: ANKRD11; AXIN2; BCOR; CCBE1; CLDN1; EDA; EDARADD; FAT4; KCNJ5; POLR3A; RNU4ATAC; FGFR1; HOXD13; IRF6; KCNJ2; LRP6; LTBP3; MSX1; NAA10; PAX9; POLR1C; POLR3B; PORCN; PTHLH; SATB2; SH3BP2; SLC29A3; TGFA; TP63; WNT10A).
DOI: 10.6084/m9.figshare.12278498
title: Additional file 1 of How obsessive–compulsive and bipolar disorders meet each other? An integrative gene-based enrichment approach

description: Additional file 1. The name and references of the genes associated with OCD and BD.
DOI: 10.6084/m9.figshare.12278498.v1
title: Additional file 1 of How obsessive–compulsive and bipolar disorders meet each other? An integrative gene-based enrichment approach

description: Additional file 1. The name and references of the genes associated with OCD and BD.
DOI: 10.6084/m9.figshare.12278444
title: Metadata record for: Multi-channel EEG recording during motor imagery of different joints from the same limb

description: This dataset contains key characteristics about the data described in the Data Descriptor Multi-channel EEG recording during motor imagery of different joints from the same limb. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12278444.v1
title: Metadata record for: Multi-channel EEG recording during motor imagery of different joints from the same limb

description: This dataset contains key characteristics about the data described in the Data Descriptor Multi-channel EEG recording during motor imagery of different joints from the same limb. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12278399
title: Daily SST data from the Nova Scotia coast (2014-2018)

description: This data set provides values of daily sea surface temperature (SST) measured at 9 wave-exposed intertidal locations along the Atlantic coast of Nova Scotia (Canada) between 01 May 2014 and 31 October 2018.
DOI: 10.6084/m9.figshare.12278405
title: disintegrating bullet visualiser

description: data visualiser for simulation data<br>
DOI: 10.6084/m9.figshare.12278345
title: sphinx_033.tar.gz

description: 33/34 data
DOI: 10.6084/m9.figshare.12278405.v1
title: disintegrating bullet visualiser

description: data visualiser for simulation data<br>
DOI: 10.6084/m9.figshare.12860978.v1
title: Untitled Item

description: <b>Cervical sagittal imbalance after cervical laminoplasty in elderly patients</b>
DOI: 10.6084/m9.figshare.12860978
title: Untitled Item

description: <b>Cervical sagittal imbalance after cervical laminoplasty in elderly patients</b>
DOI: 10.6084/m9.figshare.12278345.v1
title: sphinx_033.tar.gz

description: 33/34 data
DOI: 10.6084/m9.figshare.12278405.v2
title: disintegrating bullet visualiser

description: data visualiser for simulation data<br>
DOI: 10.6084/m9.figshare.12278291
title: sphinx_032.tar.gz

description: 32/34 Sphinx CAPTCHA dataset.
DOI: 10.6084/m9.figshare.12278279
title: Brain extraction (average BOLD) weights

description: Brain extraction for 3-D bold volume<br>
DOI: 10.6084/m9.figshare.12278405.v3
title: disintegrating bullet visualiser

description: data visualiser for simulation data<br>
DOI: 10.6084/m9.figshare.12278276
title: Comparative mesocarp transcriptome of twelve oil palm accessions with different vitamin E content

description: The gene details and annotation information, including GO, KEGG, PRGdb, and transcription factor (TF)