cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20009996
title: One Genus or Two? Evaluating Whether Gracile and Robust Capuchin Monkeys are Validly Classified as Separate Genera Based on Craniofacial Shape. Craniofacial shape dataset.

description: Assessments of whether closely related species should be classified into more than one genus have been a longstanding source of controversy in primatology. For example, researchers hold differing opinions about whether cebine species should be classified into one or two genera. In this study, we investigated whether craniofacial shape is a reliable taxonomic indicator among cebines and statistically evaluated whether the magnitude of craniofacial shape differences observed among gracile and robust capuchin species is consistent with a two-genus taxonomic framework. We quantify craniofacial shape using 3D landmark data taken from 72 surface models, representing five cebine species (<em>Cebus albifrons, C. capucinus, C. olivaceus, C. (Sapajus) libidinosus, and C. (S.) macrocephalus</em>). We find that although statistically significant shape differences exist between gracile and robust capuchins in all four craniofacial regions investigated (face and palate, basicranium, calvarium, and frontal region of the calvarium), the magnitude of shape differences between species pairs does not support gracile and robust species being classified into separate genera. The shape of the frontal region of the calvarium and the face and palate show the highest magnitude of shape differences between the gracile and robust capuchin groups, and both regions are good taxonomic predictors, showing correct classification rates of 97% and 96%, respectively. At the species-level, face and palate shape is the only craniofacial measure that consistently shows high correct classification rates among species (84-97% for combined-sex analyses). Our findings suggest that robust capuchin species that are often assigned to <em>Sapajus</em> may be more appropriately considered as <em>Cebus</em> under a single-genus framework for cebines based on craniofacial shape evidence.
DOI: 10.6084/m9.figshare.20009996.v1
title: One Genus or Two? Evaluating Whether Gracile and Robust Capuchin Monkeys are Validly Classified as Separate Genera Based on Craniofacial Shape. Craniofacial shape dataset.

description: Assessments of whether closely related species should be classified into more than one genus have been a longstanding source of controversy in primatology. For example, researchers hold differing opinions about whether cebine species should be classified into one or two genera. In this study, we investigated whether craniofacial shape is a reliable taxonomic indicator among cebines and statistically evaluated whether the magnitude of craniofacial shape differences observed among gracile and robust capuchin species is consistent with a two-genus taxonomic framework. We quantify craniofacial shape using 3D landmark data taken from 72 surface models, representing five cebine species (<em>Cebus albifrons, C. capucinus, C. olivaceus, C. (Sapajus) libidinosus, and C. (S.) macrocephalus</em>). We find that although statistically significant shape differences exist between gracile and robust capuchins in all four craniofacial regions investigated (face and palate, basicranium, calvarium, and frontal region of the calvarium), the magnitude of shape differences between species pairs does not support gracile and robust species being classified into separate genera. The shape of the frontal region of the calvarium and the face and palate show the highest magnitude of shape differences between the gracile and robust capuchin groups, and both regions are good taxonomic predictors, showing correct classification rates of 97% and 96%, respectively. At the species-level, face and palate shape is the only craniofacial measure that consistently shows high correct classification rates among species (84-97% for combined-sex analyses). Our findings suggest that robust capuchin species that are often assigned to <em>Sapajus</em> may be more appropriately considered as <em>Cebus</em> under a single-genus framework for cebines based on craniofacial shape evidence.
DOI: 10.6084/m9.figshare.20286561
title: Fire Perimeter Data

description: The Fire Perimeter Data focuses on the dynamics of individual fires. The fire perimeters are stored in txt file format, each line in the txt file represents a fire perimeter, and a txt file stores all sequential perimeters of a fire on its development timeline. For example, <em><strong>2019-08-30{"type":"Polygon","coordinates":[[[46.7,44.4],...]]}</strong></em>, the first 10 characters <em><strong>2019-08-30</strong></em><strong> </strong>indicates the observation time of this fire perimeter<strong>, </strong> and the rest characters is the Geojson string of corresponding fire perimeter, and each element <em><strong>[46.7,44.4] </strong></em><em>in the </em><em><strong>coordinates </strong></em><em>list is WGS84 coordinate of a vertex on the fire perimeter</em>. We used Sentinel-2 L2A data, with a spatial resolution of 20 m, to develop the Fire Perimeter Data to track the evolution of 719 individual fires. Of these 719 fires, 442 fires were between 60° and 75°N in the main Eurasian Arctic study area, and the remaining 277 were located between 50° and 60°N in the high-latitude interior of the continent, south of the main study area. The remaining 51 fires were below 50°N. The processing codes of these txt files are provided in str2shp.py.
DOI: 10.6084/m9.figshare.20286561.v1
title: Fire Perimeter Data

description: The Fire Perimeter Data focuses on the dynamics of individual fires. The fire perimeters are stored in txt file format, each line in the txt file represents a fire perimeter, and a txt file stores all sequential perimeters of a fire on its development timeline. For example, <em><strong>2019-08-30{"type":"Polygon","coordinates":[[[46.7,44.4],...]]}</strong></em>, the first 10 characters <em><strong>2019-08-30</strong></em><strong> </strong>indicates the observation time of this fire perimeter<strong>, </strong> and the rest characters is the Geojson string of corresponding fire perimeter, and each element <em><strong>[46.7,44.4] </strong></em><em>in the </em><em><strong>coordinates </strong></em><em>list is WGS84 coordinate of a vertex on the fire perimeter</em>. We used Sentinel-2 L2A data, with a spatial resolution of 20 m, to develop the Fire Perimeter Data to track the evolution of 719 individual fires. Of these 719 fires, 442 fires were between 60° and 75°N in the main Eurasian Arctic study area, and the remaining 277 were located between 50° and 60°N in the high-latitude interior of the continent, south of the main study area. The remaining 51 fires were below 50°N.
DOI: 10.6084/m9.figshare.20318241
title: 2022-v2-9classes-AsturApple-SIZE224-train-dev-test.hdf5

description: The database is in format hdf5 and is composed of 6108 images 224x224 in size belonging to 9 different classes: 'BLANQUINA' 'CARRIO' 'FLORINA' 'FUENTES' 'PRIETA' 'RAXAO' 'REINETA ENCARNADA' 'REINETA PINTA' 'REINETA ROJA DEL CANADA' These varieties are common in the Nortwest of Spain, Most of them are used in cider production. This database is already split in three set of images: train, dev and testz. Train images are the 80% of total 10% dev (validation) and 10% test. In the file the labels associated with each image are also stored in the classic form of one hot encode. <br>
DOI: 10.5281/zenodo.6834187
title: Data for Functional Group Pair Distance Based Descriptor for Isomerisation in Porous Molecular Framework Materials

description: This is a dataset of isomer structure files for pore topology: Tri2Di3, Tri4Di6, Tri4-2Di6,Tri6Di9, Tet2Di4, Tet3Di3, Tet4-4Di8, Tet5Di10, and Tet6Di12. All.tar.bz2 contains all pore topologies, the total disk space after unzipping the bundle is 1.8 Gb. The total disk space for pore Tet6Di12 alone is 1.5Gb.
DOI: 10.5281/zenodo.6834186
title: Data for Functional Group Pair Distance Based Descriptor for Isomerisation in Porous Molecular Framework Materials

description: This is a dataset of isomer structure files for pore topology: Tri2Di3, Tri4Di6, Tri4-2Di6,Tri6Di9, Tet2Di4, Tet3Di3, Tet4-4Di8, Tet5Di10, and Tet6Di12. All.tar.bz2 contains all pore topologies, the total disk space after unzipping the bundle is 1.8 Gb. The total disk space for pore Tet6Di12 alone is 1.5Gb.
DOI: 10.5517/ccdc.csd.cc25mw2s
title: CCDC 2015095: Experimental Crystal Structure Determination

description: Related Article: Hongtai Chen, Liming Fan, Tuoping Hu, Xiutang Zhang|2021|Inorg.Chem.|60|5005|doi:10.1021/acs.inorgchem.1c00053
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.20318331
title: datamaskSUC.xlsx

description: Survey about the usage of the mask.
DOI: 10.6084/m9.figshare.20318355
title: Passive ankle dorsiflexion can be measured reliably using a new computerized equinometer

description: Here you find all the data used to write the article about the equinometer: <strong>Passive ankle dorsiflexion can be measured reliably using a new computerized equinometer </strong>
DOI: 10.6084/m9.figshare.20318355.v1
title: Passive ankle dorsiflexion can be measured reliably using a new computerized equinometer

description: Here you find all the data used to write the article about the equinometer: <strong>Passive ankle dorsiflexion can be measured reliably using a new computerized equinometer </strong>
DOI: 10.6084/m9.figshare.20318097
title: Shapefile_containing_irrigation_water_withdrawal

description: This is the shapefile dataset containing the irrigation water withdrawal. Here are the describtion variable names in this file (Obs: observed irrigation water withdrawal; Ctl: simulated irrigation water withdrawal of CTL simulation; Irr: simulated irrigation water withdrawal of IRR_0 simulation; Irr_drai: simulated irrigation water withdrawal of IRR_1 simulation; Irr_pool: simulated irrigation water withdrawal of IRR_2 simulation; Irr_satu: simulated irrigation water withdrawal of IRR simulation; Bias_xxx: bias of irrigation water withdrawal of simulation xxx compared to observation). This can be used to plot irrigation water withdrawal data with the scripts plot_irr_withdrawal.py
DOI: 10.6084/m9.figshare.20318064
title: surfdata_irrigation_method.nc

description: This dataset contains the irrigation method data used in this study. This can be used to plot the irrigation method distribution with the script Plot_irr_method.py.
DOI: 10.6084/m9.figshare.20318064.v1
title: surfdata_irrigation_method.nc

description: This dataset contains the irrigation method data used in this study. This can be used to plot the irrigation method distribution with the script Plot_irr_method.py.
DOI: 10.5281/zenodo.6343417
title: [Dataset] Determining the origin of tidal oscillations in the ionospheric transition region with EISCAT radar and global simulation data

description: Preprocessed data
DOI: 10.5281/zenodo.6838977
title: TDMS data: arc_02

description: TDMS data: arc_02
DOI: 10.5281/zenodo.6838976
title: TDMS data: arc_02

description: TDMS data: arc_02
DOI: 10.5281/zenodo.6838981
title: Example dataset to try Btrack detector of TrackMate

description: A two channel time lapse image for running the Btrack detector of TrackMate.
DOI: 10.5281/zenodo.6838980
title: Example dataset to try Btrack detector of TrackMate

description: A two channel time lapse image for running the Btrack detector of TrackMate.
DOI: 10.5281/zenodo.6838987
title: Raw data for High temperature superconductivity arising in a metal sheet full of holes

description: All raw data for the paper entitled "High temperature superconductivity arising in a metal sheet full of holes" are deposited here, together with the GDSII file used for the sample patterning. Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC BY 4.0). Addition of the author as a responsible author and/or an inventor in any publication, including electronic publications, is prohibited.
DOI: 10.5281/zenodo.5885550
title: Raw data for High temperature superconductivity arising in a metal sheet full of holes

description: All raw data for the paper entitled "High temperature superconductivity arising in a metal sheet full of holes" are deposited here, together with the GDSII file used for the sample patterning. Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC BY 4.0). Addition of the author as a responsible author and/or an inventor in any publication, including electronic publications, is prohibited.
DOI: 10.6084/m9.figshare.20318496
title: Dat.xlsx

description: Clinical data of older patients with epistaxis: age, gender, onset time, bleeding site, hemostatic method, rebleeding, etc.
DOI: 10.6084/m9.figshare.20318496.v1
title: Dat.xlsx

description: Clinical data of older patients with epistaxis: age, gender, onset time, bleeding site, hemostatic method, rebleeding, etc.
DOI: 10.5281/zenodo.6839074
title: Molcular Dynamics Data for Therapeutic High Affinity T Cell Receptor Targeting a KRAS G12D Cancer Neoantigen

description: This folder contains the starting structures and input scripts required to simulate the wild-type and G12D KRAS peptide bound TCR-pHLA complexes, as performed in this study. <br> Starting_Structures - This folder contains the amber parameter/topology files used to simulate each system (.prmtop) and the coordinates of the starting structure both as amber coordinate file (.rst) and PDB file (.pdb).<br> MD_Inputs - This folder contains the amber MD inputs used to run the md simulations. <br> MMPBSA_inputs - This folder contains the input files for running MMPBSA with the MMPBSA.py script in amber. The mmpbsa.in script was used for calculating overall binding energy whereas the mmpbsa_decomp.in script was used for calculating the per-residue contribution to binding energy.
DOI: 10.6084/m9.figshare.20318538
title: data extracted from Yelp Open Dataset

description: The different data sets of point features related to food that we used for the different tasks in our user study. The data was extracted from the Yelp Open Dataset.
DOI: 10.6084/m9.figshare.20141229.v1
title: Palynomorphological and taxonomical investigations on some Apiaceae taxa from Bilecik, Turkey

description: The objective of the present study is to investigate pollen morphology and taxonomy of some Apiaceae species in Bilecik, Turkey. The study area is restricted to Vezirhan in the south (Bilecik), Pamukova and Geyve in the north (Sakarya), İznik in the west (Bursa), Gölpazarı in the south-east (Bilecik) and Taraklı in the east (Sakarya). Apiaceae species were collected from the study area by visiting there in all four seasons. In this study, the pollen morphology of 22 taxa belonging to different genera of the Apiaceae family was investigated for the first time in detail a using light microscope and SEM. The pollen is radially symmetrical, isopolar, and tricolporate in all examined species. Pollen grains are perprolate, prolate, and subprolate with the polar axis ranging from 17.53 µm (N) and 18.28 µm (A) to 39.71 µm (N) and 39.72 µm (A) and the equatorial axis from 11.77 µm (N) and 12.2 µm (A) to 23.77 µm (N) and 23.54 µm (A). The polar shapes of the studied taxa are triangular. Exine ornamentations of four pollen types have been observed by scanning electron microscopy. Two main groups were revealed in the dendrogram which was constructed by using Average Linkage from the examined data. It was determined that some pollen characteristics of investigated Apiaceae taxa are supporters of the classification of taxa with other taxonomical characteristics. Also, three components of investigated palynological characteristics were identified with principal component analysis. Polar axis (P), equatorial axis (E), the ratio of polar axis to equatorial axis (P/E) (pollen shape) and ornamentation in the polar and equatorial views are determined as the most important palynological characteristics for discrimination of the Apiaceae taxa.
DOI: 10.6084/m9.figshare.18059794
title: Development of novel SSR markers derived from genomic and transcriptomic data of <i>Moringa oleifera</i> L. var. PKM1 and their applicability

description: Limited genomic resources, especially on breeder-friendly simple sequence repeats (SSR), are available in Moringa, a multi-purpose miracle tree. This study predicted a total of 29913 genomic-SSRs and 1364 genic-SSRs from the omics data obtained from a Moringa cultivar, PKM1. Among the genomic SSR motifs, 1, 414, 2183, 25600, 1106 and 609 SSRs were Mono, Di, Tri, Tetra, Penta, and Hexa repeats, respectively. Higher frequency for AGAG (24.01%) followed by GAGA (16.68) and AAAA (13.18%) was observed in genic-SSRs sequences. Primer pairs for 22,336 genomic- and genic-SSR markers were developed and 117 SSR primer pairs were randomly selected and assayed in four representative Moringa cultivars and ecotypes. Consequently, 94.44% of them have showed high level of DNA polymorphism by generating 1 to 4 alleles per SSR marker (with an average of 1.75) among the investigated Moringa accessions with a maximum polymorphic information content (PIC) of 0.95. Besides using as simple and affordable indicator to differentiate morphologically similar Moringa ecotypes, the SSRs reported in this study will also have several other potential applications such as seed purity analysis, intellectual property protection, identification of introgressions in interspecific crosses, evolutionary studies, germplasm management, gene and/or QTL identification and marker-assisted selection.
DOI: 10.6084/m9.figshare.18059794.v1
title: Development of novel SSR markers derived from genomic and transcriptomic data of <i>Moringa oleifera</i> L. var. PKM1 and their applicability

description: Limited genomic resources, especially on breeder-friendly simple sequence repeats (SSR), are available in Moringa, a multi-purpose miracle tree. This study predicted a total of 29913 genomic-SSRs and 1364 genic-SSRs from the omics data obtained from a Moringa cultivar, PKM1. Among the genomic SSR motifs, 1, 414, 2183, 25600, 1106 and 609 SSRs were Mono, Di, Tri, Tetra, Penta, and Hexa repeats, respectively. Higher frequency for AGAG (24.01%) followed by GAGA (16.68) and AAAA (13.18%) was observed in genic-SSRs sequences. Primer pairs for 22,336 genomic- and genic-SSR markers were developed and 117 SSR primer pairs were randomly selected and assayed in four representative Moringa cultivars and ecotypes. Consequently, 94.44% of them have showed high level of DNA polymorphism by generating 1 to 4 alleles per SSR marker (with an average of 1.75) among the investigated Moringa accessions with a maximum polymorphic information content (PIC) of 0.95. Besides using as simple and affordable indicator to differentiate morphologically similar Moringa ecotypes, the SSRs reported in this study will also have several other potential applications such as seed purity analysis, intellectual property protection, identification of introgressions in interspecific crosses, evolutionary studies, germplasm management, gene and/or QTL identification and marker-assisted selection.
DOI: 10.6084/m9.figshare.20318367
title: Single_point_monthly_observed_data

description: Monthly mean variables calculated from FLUXNET data for three sites. Variables: Nebraska Col1: latent heat flux; Col2: sensible heat flux; Col3: downwelling longwave radiation; Col4: downwelling shortwave radiation; Col5: upwelling longwave radiation; Col6: upwelling shortwave radiation. Castellaro Col1: latent heat flux; Col2: sensible heat flux; Col3: downwelling longwave radiation; Col4: downwelling shortwave radiation; Col5: upwelling shortwave radiation. Japan Same as Nebraska. Used to plot single-point figures with Plot_timeseries_single_sites_water.py and Plot_timeseries_single_sites_energy.py <br>
DOI: 10.6084/m9.figshare.20318367.v2
title: Single_point_monthly_observed_data

description: Monthly mean variables calculated from FLUXNET data for three sites. Variables: Nebraska Col1: latent heat flux; Col2: sensible heat flux; Col3: downwelling longwave radiation; Col4: downwelling shortwave radiation; Col5: upwelling longwave radiation; Col6: upwelling shortwave radiation. Castellaro Col1: latent heat flux; Col2: sensible heat flux; Col3: downwelling longwave radiation; Col4: downwelling shortwave radiation; Col5: upwelling shortwave radiation. Japan Same as Nebraska. Used to plot single-point figures with Plot_timeseries_single_sites_water.py and Plot_timeseries_single_sites_energy.py <br>
DOI: 10.6084/m9.figshare.20318367.v1
title: Single_point_monthly_data

description: Monthly mean variables calculated from FLUXNET data for three sites. Variables: Nebraska Col1: latent heat flux; Col2: sensible heat flux; Col3: downwelling longwave radiation; Col4: downwelling shortwave radiation; Col5: upwelling longwave radiation; Col6: upwelling shortwave radiation. Castellaro Col1: latent heat flux; Col2: sensible heat flux; Col3: downwelling longwave radiation; Col4: downwelling shortwave radiation; Col5: upwelling shortwave radiation. Japan Same as Nebraska. Used to plot single-point figures with Plot_timeseries_single_sites_water.py and Plot_timeseries_single_sites_energy.py <br>
DOI: 10.6084/m9.figshare.20318562
title: National Performance Indicator Ontology (NPIOnto)

description: Knowledge Model for Semantic Representation of Performance Indicators for the Botswana Integrated Indicator Framework
DOI: 10.5281/zenodo.6839155
title: RNA sequencing analysis of CAF treated by colon cancer cell-derived exosomes

description: In this study, we analyzed differentially expressed genes by obtaining gene expression values through transcriptome sequencing of Homo sapiens, and performed functional classification and gene annotation for significant genes based on gene ontology and pathway information. After the pre-processed trimmed reads were mapped to a known reference genome using the HISAT2 program, transcript assembly was performed through the StringTie program. As a result, expression profile values were obtained for each sample for the known transcript, and read count, based on transcript/gene Fragment per Kilobase of transcript per Million mapped reads (FPKM), Transcripts per Kilobase (TPM) Million) values have been summarized. This value was subjected to DEG (Differentially Expressed Genes) analysis using edgeR for comparison combinations (HT-29_Exo-CAF vs. CTL_PBS-CAF, LoVo_Exo-CAF vs. CTL_PBS-CAF, and SW480_Exo-CAF vs. CTL_PBS-CAF), and genes that satisfies the condition |fc|&gt;=2 & exactTest raw p-value&lt;0.05 in at least one comparison combination Dogs were extracted. Transcriptome resequencing data was used to compare expression profiles between comparable samples. Gene Ontology Enrichment analysis was performed using the g:Profiler tool (https://biit.cs.ut.ee/gprofiler/) for a list of genes with significant expression level differences. GO_stat is the result of organizing the associated gene and test stat based on term_id. GO_genes is the result of arranging the associated term_id and DEG analysis result stat based on the gene.