cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12610787.v1
title: trait_figshare.csv

description: Maximum height (m), Maximum leaf area (cm<sup>2</sup>), Maximum seed volume (mm<sup>3</sup>) and Maximum seed per fruit for a random sample of angiosperm species.
DOI: 10.17632/kdgj4rrhdr.1
title: Peripheral artery disease patients during Covid-19 pandemic
DOI: 10.6084/m9.figshare.12610628
title: Dataset for: Effect of cold chain logistic interruptions on lipid oxidation and volatile organic compounds of salmon (Salmo salar) and their correlations with water dynamics

description: This dataset contains the data described transverse relaxation time (T2) of low-field nuclear magnetic resonance (LF- NMR).<br>
DOI: 10.6084/m9.figshare.12610673
title: raw data for burn aki 20200704.xlsx

description: aki, burn
DOI: 10.6084/m9.figshare.12610973.v20
title: test_tar_gz

description: test_tar_gz
DOI: 10.6084/m9.figshare.12610727.v1
title: Supplementary file for Pca clinical characteristics_UCI

description: Prostate cancer clinical characteristics and management at the Uganda Cancer Institute
DOI: 10.6084/m9.figshare.12610628.v1
title: Dataset for: Effect of cold chain logistic interruptions on lipid oxidation and volatile organic compounds of salmon (Salmo salar) and their correlations with water dynamics

description: This dataset contains the data described transverse relaxation time (T2) of low-field nuclear magnetic resonance (LF- NMR).<br>
DOI: 10.6084/m9.figshare.12610673.v1
title: raw data for burn aki 20200704.xlsx

description: aki, burn
DOI: 10.6084/m9.figshare.12610973.v21
title: test_tar_gz

description: test_tar_gz
DOI: 10.17632/j4xtbtpt3p.1
title: The Impact of Residual Stress on Resonating Piezoelectric Devices - XRD data

description: Repository of XRD data from pMUT devices
DOI: 10.6084/m9.figshare.12610973.v22
title: test_tar_gz

description: test_tar_gz
DOI: 10.6084/m9.figshare.12610502
title: Animal Body Weight

description: Animal Body Weight, pre and post test
DOI: 10.6084/m9.figshare.12610565
title: Dataset_EPSiT_CivitaCastellana.xlsx

description: Dataset of a retrospective single-center analysis of all patients treated by Endoscopic Pilonidal Sinus Treatment (EPSiT), by a single surgical team, from March 2015 to December 2019 at the San Giovanni Decollato - Andosilla Hospital in Civita Castellana, Italy<br><br>
DOI: 10.6084/m9.figshare.12610607.v1
title: Dataset

description: This data contains variables form the baseline survey of SWADES. This data set consists of two aspects of the SWADES full survey – functional ability and social cohesion.
DOI: 10.6084/m9.figshare.12610499
title: Raw Data Bone Molecular Markers

description: Raw Data Bone Molecular Markers
DOI: 10.6084/m9.figshare.12610973.v24
title: test_tar_gz

description: test_tar_gz
DOI: 10.6084/m9.figshare.12610607.v2
title: Relationship between neighbourhood cohesion and disability: findings from SWADES population-based survey, Kerala, India

description: This data contains variables form the baseline survey of SWADES. A study conducted among 997 respondents in catchment areas of Ernakulam, Kerala, India in 2018
DOI: 10.6084/m9.figshare.12610973.v23
title: test_tar_gz

description: test_tar_gz
DOI: 10.17632/k3t2kwz53y.3
title: Competition between chiral solvents and chiral monomers in the helical bias of supramolecular polymers

description: Raw data of all figures mentioned in the text of the paper.
DOI: 10.6084/m9.figshare.12610445
title: Additional file 4 of Single-cell ATAC-seq signal extraction and enhancement with SCATE

description: Additional file 4 Table S3. List of human bulk DNase-seq samples in BDDB.
DOI: 10.6084/m9.figshare.12610448
title: Additional file 5 of Single-cell ATAC-seq signal extraction and enhancement with SCATE

description: Additional file 5 Table S4. List of mouse bulk DNase-seq samples in BDDB.
DOI: 10.6084/m9.figshare.12610442
title: Additional file 3 of Single-cell ATAC-seq signal extraction and enhancement with SCATE

description: Additional file 3 Table S2. List of TF binding motifs used in the study with their JASPAR accession numbers.
DOI: 10.6084/m9.figshare.12610445.v1
title: Additional file 4 of Single-cell ATAC-seq signal extraction and enhancement with SCATE

description: Additional file 4 Table S3. List of human bulk DNase-seq samples in BDDB.
DOI: 10.6084/m9.figshare.12610442.v1
title: Additional file 3 of Single-cell ATAC-seq signal extraction and enhancement with SCATE

description: Additional file 3 Table S2. List of TF binding motifs used in the study with their JASPAR accession numbers.
DOI: 10.6084/m9.figshare.12610448.v1
title: Additional file 5 of Single-cell ATAC-seq signal extraction and enhancement with SCATE

description: Additional file 5 Table S4. List of mouse bulk DNase-seq samples in BDDB.
DOI: 10.6084/m9.figshare.12610408
title: Additional file 1 of The roles of hybridization and habitat fragmentation in the evolution of Brazil’s enigmatic longwing butterflies, Heliconius nattereri and H. hermathena

description: Additional file 1: Table S1. Sample and sequencing information for Brazilian Heliconius hermathena and H. nattereri generated in this study. Table S2.Heliconius hermathena and H. nattereri genome sequencing data. Table S3. Samples used for mitochondrial genome assemblies using NOVOplasty (Dierckxens et al., 2017, Nuc Acids Res). Table S4. Sample information for other Heliconius species used in this study. Table S5. Summary statistics of nucleotide diversity per site (pi) and Tajima’s D calculated in 100 kb genome-wide. Table S6. Numbers of substitutions in Heliconius nattereri and relatives. Table S7. Numbers of substitutions in Heliconius hermathena and relatives. Table S8. Whole genome mean FST and 95% empirical confidence interval between H. hermathena populations. Table S9. Whole genome mean FST and 95% empirical confidence interval between H. erato populations. Table S10. Whole genome mean FST and 95% empirical confidence interval between H. melpomene populations. Table S11. Nucleotide diversity, overall and pairwise FST estimated for H. hermathena mitochondrial genomes. Table S12. Patterson’s D statistics calculated in 10 kb windows across all autosomes. H. erato samples are from French Guiana, the geographically closest population to H. hermathena.
DOI: 10.6084/m9.figshare.12610408.v1
title: Additional file 1 of The roles of hybridization and habitat fragmentation in the evolution of Brazil’s enigmatic longwing butterflies, Heliconius nattereri and H. hermathena

description: Additional file 1: Table S1. Sample and sequencing information for Brazilian Heliconius hermathena and H. nattereri generated in this study. Table S2.Heliconius hermathena and H. nattereri genome sequencing data. Table S3. Samples used for mitochondrial genome assemblies using NOVOplasty (Dierckxens et al., 2017, Nuc Acids Res). Table S4. Sample information for other Heliconius species used in this study. Table S5. Summary statistics of nucleotide diversity per site (pi) and Tajima’s D calculated in 100 kb genome-wide. Table S6. Numbers of substitutions in Heliconius nattereri and relatives. Table S7. Numbers of substitutions in Heliconius hermathena and relatives. Table S8. Whole genome mean FST and 95% empirical confidence interval between H. hermathena populations. Table S9. Whole genome mean FST and 95% empirical confidence interval between H. erato populations. Table S10. Whole genome mean FST and 95% empirical confidence interval between H. melpomene populations. Table S11. Nucleotide diversity, overall and pairwise FST estimated for H. hermathena mitochondrial genomes. Table S12. Patterson’s D statistics calculated in 10 kb windows across all autosomes. H. erato samples are from French Guiana, the geographically closest population to H. hermathena.
DOI: 10.17632/fn4fc5d8ww.1
title: Educación Artística

description: La Educación Artística en México
DOI: 10.6084/m9.figshare.12610387
title: Additional file 3 of Incidence, prevalence, mortality, and causes of death in Waldenström macroglobulinemia: a nationwide, population-based cohort study

description: Additional file 3: Table S3. The specific chemotherapy agents administered to Korean patients with Waldenström macroglobulinemia.
DOI: 10.6084/m9.figshare.12610381
title: Additional file 1 of Incidence, prevalence, mortality, and causes of death in Waldenström macroglobulinemia: a nationwide, population-based cohort study

description: Additional file 1: Table S1. Age-specific annual incidence of Waldenström macroglobulinemia between 2003 and 2016.
DOI: 10.6084/m9.figshare.12610384
title: Additional file 2 of Incidence, prevalence, mortality, and causes of death in Waldenström macroglobulinemia: a nationwide, population-based cohort study

description: Additional file 2: Table S2. Age-specific prevalence of Waldenström macroglobulinemia in Korea, 2016.
DOI: 10.6084/m9.figshare.12610387.v1
title: Additional file 3 of Incidence, prevalence, mortality, and causes of death in Waldenström macroglobulinemia: a nationwide, population-based cohort study

description: Additional file 3: Table S3. The specific chemotherapy agents administered to Korean patients with Waldenström macroglobulinemia.
DOI: 10.6084/m9.figshare.12610381.v1
title: Additional file 1 of Incidence, prevalence, mortality, and causes of death in Waldenström macroglobulinemia: a nationwide, population-based cohort study

description: Additional file 1: Table S1. Age-specific annual incidence of Waldenström macroglobulinemia between 2003 and 2016.
DOI: 10.6084/m9.figshare.12610378
title: Additional file 1 of Genetic analysis of loose smut (Ustilago tritici) resistance in Sonop spring wheat

description: Additional file 1: Table S1. Full linkage map for the Diamont/TD-14 DH population, including chromosome assignment and map position of 11,519 loci; Table S2. Distribution of loci in the linkage map of the Diamont/TD-14 DH population; Table S3. Di-genic epistatic QTL analysis for the Diamont/TD-14 DH population; Table S4. Linkage map and phenotypic data used for QTL analyses.
DOI: 10.6084/m9.figshare.12610384.v1
title: Additional file 2 of Incidence, prevalence, mortality, and causes of death in Waldenström macroglobulinemia: a nationwide, population-based cohort study

description: Additional file 2: Table S2. Age-specific prevalence of Waldenström macroglobulinemia in Korea, 2016.
DOI: 10.6084/m9.figshare.12610378.v1
title: Additional file 1 of Genetic analysis of loose smut (Ustilago tritici) resistance in Sonop spring wheat

description: Additional file 1: Table S1. Full linkage map for the Diamont/TD-14 DH population, including chromosome assignment and map position of 11,519 loci; Table S2. Distribution of loci in the linkage map of the Diamont/TD-14 DH population; Table S3. Di-genic epistatic QTL analysis for the Diamont/TD-14 DH population; Table S4. Linkage map and phenotypic data used for QTL analyses.
DOI: 10.6084/m9.figshare.12610334
title: Additional file 8 of Unveiling protist diversity associated with the Pacific oyster Crassostrea gigas using blocking and excluding primers

description: Additional file 8: Table S5. Metadata and alpha diversity indices. Alpha diversity values correspond to 18SV1V2EX/18SV4BP. NA: not analysed (protist sequences
DOI: 10.6084/m9.figshare.12610328
title: Additional file 6 of Unveiling protist diversity associated with the Pacific oyster Crassostrea gigas using blocking and excluding primers

description: Additional file 6: Table S4. OTU annotations and abundances for 18SV4BP samples.
DOI: 10.6084/m9.figshare.12610334.v1
title: Additional file 8 of Unveiling protist diversity associated with the Pacific oyster Crassostrea gigas using blocking and excluding primers

description: Additional file 8: Table S5. Metadata and alpha diversity indices. Alpha diversity values correspond to 18SV1V2EX/18SV4BP. NA: not analysed (protist sequences
DOI: 10.6084/m9.figshare.12610328.v1
title: Additional file 6 of Unveiling protist diversity associated with the Pacific oyster Crassostrea gigas using blocking and excluding primers

description: Additional file 6: Table S4. OTU annotations and abundances for 18SV4BP samples.
DOI: 10.6084/m9.figshare.12610325
title: Additional file 5 of Unveiling protist diversity associated with the Pacific oyster Crassostrea gigas using blocking and excluding primers

description: Additional file 5: Table S3. OTU annotations and abundances for 18SV1V2EX samples.
DOI: 10.6084/m9.figshare.12610319
title: Additional file 3 of Unveiling protist diversity associated with the Pacific oyster Crassostrea gigas using blocking and excluding primers

description: Additional file 3: Table S2. Number of sequences. Values correspond to 18SV1V2EX/18SV4BP.
DOI: 10.6084/m9.figshare.12610319.v1
title: Additional file 3 of Unveiling protist diversity associated with the Pacific oyster Crassostrea gigas using blocking and excluding primers

description: Additional file 3: Table S2. Number of sequences. Values correspond to 18SV1V2EX/18SV4BP.
DOI: 10.6084/m9.figshare.12610325.v1
title: Additional file 5 of Unveiling protist diversity associated with the Pacific oyster Crassostrea gigas using blocking and excluding primers

description: Additional file 5: Table S3. OTU annotations and abundances for 18SV1V2EX samples.
DOI: 10.6084/m9.figshare.12610313
title: Additional file 1 of Unveiling protist diversity associated with the Pacific oyster Crassostrea gigas using blocking and excluding primers

description: Additional file 1: Table S1. Microbiota samples
DOI: 10.6084/m9.figshare.12610313.v1
title: Additional file 1 of Unveiling protist diversity associated with the Pacific oyster Crassostrea gigas using blocking and excluding primers

description: Additional file 1: Table S1. Microbiota samples
DOI: 10.6084/m9.figshare.12610271
title: Additional file 8 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 8: Table S8. Summary of the clans and domains reported on Pfam 31.0.
DOI: 10.6084/m9.figshare.12610274
title: Additional file 9 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 9: Table S9. Remaining domains identified in the RLK among the species evaluated.
DOI: 10.6084/m9.figshare.12610265
title: Additional file 6 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 6: Table S6. Specific domains that belong to the clans and families to classified RLP and RLK proteins.
DOI: 10.6084/m9.figshare.12610268
title: Additional file 7 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 7: Table S7. Modular organization of RLK and RLP in plants.
DOI: 10.6084/m9.figshare.12610259
title: Additional file 4 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 4: Table S4. Protein ids of the 10 species evaluated that are classified as RLK (psg: presence of signal peptide and nsg:absence of signal peptide).
DOI: 10.6084/m9.figshare.12610262
title: Additional file 5 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 5: Table S5. Protein ids of the 10 species evaluated that are classified as RLP (psg: presence of signal peptide and nsg:absence of signal peptide).
DOI: 10.6084/m9.figshare.12610271.v1
title: Additional file 8 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 8: Table S8. Summary of the clans and domains reported on Pfam 31.0.
DOI: 10.6084/m9.figshare.12610274.v1
title: Additional file 9 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 9: Table S9. Remaining domains identified in the RLK among the species evaluated.
DOI: 10.17632/648sy7skrh.1
title: CELLULAR RECEIVED SIGNAL STRENGTH INDICATOR DATASET

description: This data presents the Reference Signal Received power for LTE, GSM and HSPA. The Mobile signal measurement were taken around Covenant University, Nigeria. The experiment setup was on an indoor scenario. The data was collected to investigate the best network for Mobile subscribers on roaming services and local subscriber's high performance and data rates. After the experiment, Exploratory Data Analysis (EDA) was used to visualize the best Network; The data can be applied to determine the network services providing the best QoS between 4th Generation LTE/4G, 3rd generation UMTS/HSPA, and GSM. The data is vital for indoor localization applications and the mobile network provider for network optimization. The experiment was conducted between July 1 and July 30, 2020. Measurements were taken from 7:30 am to 11.00 pm. The primary device collected data at an interval of 30 minutes within the time range, while the supporting devices randomly collected data during the day
DOI: 10.6084/m9.figshare.12610256
title: Additional file 3 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 3: Table S3. RLK-nonRD IDs identified among the species evaluated
DOI: 10.6084/m9.figshare.12610265.v1
title: Additional file 6 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 6: Table S6. Specific domains that belong to the clans and families to classified RLP and RLK proteins.
DOI: 10.6084/m9.figshare.12610253
title: Additional file 2 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 2: Table S2. Performance prediction evaluation of RLK and RLP reported on Table S1
DOI: 10.6084/m9.figshare.12610259.v1
title: Additional file 4 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 4: Table S4. Protein ids of the 10 species evaluated that are classified as RLK (psg: presence of signal peptide and nsg:absence of signal peptide).
DOI: 10.6084/m9.figshare.12610262.v1
title: Additional file 5 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 5: Table S5. Protein ids of the 10 species evaluated that are classified as RLP (psg: presence of signal peptide and nsg:absence of signal peptide).
DOI: 10.6084/m9.figshare.12610268.v1
title: Additional file 7 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 7: Table S7. Modular organization of RLK and RLP in plants.
DOI: 10.6084/m9.figshare.12610250
title: Additional file 1 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 1: Table S1. Experimentally-validated RLK, RLP, and R gene proteins used to evaluate the prediction.
DOI: 10.6084/m9.figshare.12610256.v1
title: Additional file 3 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 3: Table S3. RLK-nonRD IDs identified among the species evaluated
DOI: 10.6084/m9.figshare.12610247
title: Additional file 10 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 10: Table S10. Remaining domains identified in the RLP among the species evaluated.
DOI: 10.6084/m9.figshare.12610250.v1
title: Additional file 1 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 1: Table S1. Experimentally-validated RLK, RLP, and R gene proteins used to evaluate the prediction.
DOI: 10.6084/m9.figshare.12610253.v1
title: Additional file 2 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 2: Table S2. Performance prediction evaluation of RLK and RLP reported on Table S1
DOI: 10.6084/m9.figshare.12610247.v1
title: Additional file 10 of Computational identification of receptor-like kinases “RLK” and receptor-like proteins “RLP” in legumes

description: Additional file 10: Table S10. Remaining domains identified in the RLP among the species evaluated.
DOI: 10.6084/m9.figshare.12610234
title: Additional file 1 of Presence of a 34-gene signature is a favorable prognostic marker in squamous non-small cell lung carcinoma

description: Additional file 1. NanoString gene panel.
DOI: 10.6084/m9.figshare.12610234.v1
title: Additional file 1 of Presence of a 34-gene signature is a favorable prognostic marker in squamous non-small cell lung carcinoma

description: Additional file 1. NanoString gene panel.
DOI: 10.6084/m9.figshare.12610172
title: Additional file 1 of High resolution mapping of restoration of fertility (Rf) by combining large population and high density genetic map in pigeonpea [Cajanus cajan (L.) Millsp]

description: Additional file 1: Table 1. Potential candidate genes identified in major QTL region.
DOI: 10.6084/m9.figshare.12610169
title: Additional file 4 of AIMTOR, a BRET biosensor for live imaging, reveals subcellular mTOR signaling and dysfunctions

description: Additional file 4. Individual data values for all experiments in an Excel file. Data sets are sorted by figure.
DOI: 10.6084/m9.figshare.12610172.v1
title: Additional file 1 of High resolution mapping of restoration of fertility (Rf) by combining large population and high density genetic map in pigeonpea [Cajanus cajan (L.) Millsp]

description: Additional file 1: Table 1. Potential candidate genes identified in major QTL region.
DOI: 10.6084/m9.figshare.12610169.v1
title: Additional file 4 of AIMTOR, a BRET biosensor for live imaging, reveals subcellular mTOR signaling and dysfunctions

description: Additional file 4. Individual data values for all experiments in an Excel file. Data sets are sorted by figure.
DOI: 10.6084/m9.figshare.12610147
title: Additional file 7 of QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping

description: Additional file 7. Biological activity classification task. Average values of AUC and EF5 for individual sets in the CLASS data sets obtained using various settings (affinity cutoffs of 5-8, AD estimation turned on and off) for the construction of the b-QAFFP and rv-QAFFP fingerprints.
DOI: 10.6084/m9.figshare.12610135
title: Additional file 3 of QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping

description: Additional file 3. Biological activity classification task. The list of CLASS data sets including the number of actives and inactives.
DOI: 10.6084/m9.figshare.12610138
title: Additional file 4 of QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping

description: Additional file 4. Scaffold hopping task. The list of targets used for scaffold hopping potential assessment, the number of ACSKs and RACSKs and the number of ACSKs retrieved using the Morgan2, b-QAFFP and rv-QAFFP fingerprints and the combination rv+b-QAFFP.
DOI: 10.6084/m9.figshare.12610141
title: Additional file 5 of QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping

description: Additional file 5. Similarity searching task. Average values of AUC and EF5 for individual sets in the HET and HOM data sets obtained using various settings (affinity cutoffs of 5-8, AD estimation turned on and off) for the construction of the b-QAFFP fingerprint.