cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6657185
title: Data for Anemone bleaching impacts the larval recruitment success of an anemone-associated fish

description: Raw Data and R Script for Anemone bleaching impacts the larval recruitment success of an anemone-associated fish
DOI: 10.5281/zenodo.6657184
title: Data for Anemone bleaching impacts the larval recruitment success of an anemone-associated fish

description: Raw Data and R Script for Anemone bleaching impacts the larval recruitment success of an anemone-associated fish
DOI: 10.6084/m9.figshare.21526248
title: Tabla comparativa sobre "Poderes Legislativos del Ejecutivo en América Latina"

description: El Observatorio de Reformas Políticas en América Latina presenta la siguiente tabla comparativa sobre Poderes Legislativos del Ejecutivo en América Latina. <br> Producto elaborado en el marco del Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica (PAPIIT) de la UNAM. Clave del proyecto: IN302122. Proyecto: “La capacidad de resiliencias de las democracias: elecciones y política en contexto de pandemia”, del Instituto de Investigaciones Jurídicas de la UNAM [Dir. Flavia Freidenberg].
DOI: 10.6084/m9.figshare.21526248.v1
title: Tabla comparativa sobre "Poderes Legislativos del Ejecutivo en América Latina"

description: El Observatorio de Reformas Políticas en América Latina presenta la siguiente tabla comparativa sobre Poderes Legislativos del Ejecutivo en América Latina. <br> Producto elaborado en el marco del Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica (PAPIIT) de la UNAM. Clave del proyecto: IN302122. Proyecto: “La capacidad de resiliencias de las democracias: elecciones y política en contexto de pandemia”, del Instituto de Investigaciones Jurídicas de la UNAM [Dir. Flavia Freidenberg].
DOI: 10.6084/m9.figshare.21350214
title: Subjective evaluations of indoor images

description: Fifty images were selected from an online database representing ten types of architectural spaces: offices, residential spaces, educational spaces, indoor sports areas, retail stores, industrial spaces, restaurants, healthcare facilities, museums, and places of worship. Forty naïve participants (17 male & 23 females) took part in this study conducted in the Penn State University Lighting Lab. The visual preference ranged from “Extremely unpleasant” to “Extremely pleasant” in a 9-point scale.The ranges of "Extremely simple" to "Extremely complex" "Extremely unclear" to "Extremely clear," and "Not colorful" to "Extremely colorful" were given for each assessment for the following three questions (visual complexity, visual clarity, and colorfulness). To lessen bias and improve the reliability of the scales, a separate "I do not know / I do not care" option was added.
DOI: 10.6084/m9.figshare.21350214.v3
title: Subjective evaluations of indoor images

description: Fifty images were selected from an online database representing ten types of architectural spaces: offices, residential spaces, educational spaces, indoor sports areas, retail stores, industrial spaces, restaurants, healthcare facilities, museums, and places of worship. Forty naïve participants (17 male & 23 females) took part in this study conducted in the Penn State University Lighting Lab. The visual preference ranged from “Extremely unpleasant” to “Extremely pleasant” in a 9-point scale.The ranges of "Extremely simple" to "Extremely complex" "Extremely unclear" to "Extremely clear," and "Not colorful" to "Extremely colorful" were given for each assessment for the following three questions (visual complexity, visual clarity, and colorfulness). To lessen bias and improve the reliability of the scales, a separate "I do not know / I do not care" option was added.
DOI: 10.6084/m9.figshare.21350214.v2
title: 50 images used in experiment

description: Fifty images were selected from an online database representing ten types of architectural spaces: offices, residential spaces, educational spaces, indoor sports areas, retail stores, industrial spaces, restaurants, healthcare facilities, museums, and houses of worship. Forty naïve participants (17 male and 23 females, an average age of 27) took part in this study conducted in the Penn State University Lighting Lab. The visual preference ranged from “Extremely unpleasant” to “Extremely pleasant” in a 9-point scale. For the next three questions (visual complexity, visual clarity, and colorfulness), ranges of “Extremely simple” to “Extremely complex”, “Extremely unclear” to “Extremely clear”, and “Not colorful” to “Extremely colorful” were provided for each judgment. A separate “I do not know / I do not care” option was included to reduce bias and enhance the reliability of the scales.
DOI: 10.5281/zenodo.7312139
title: Dataset and pre-trained models for TopoMatch

description: This contains datasets and pre-trained models for TopoMatch
DOI: 10.5281/zenodo.7312138
title: Dataset and pre-trained models for TopoMatch

description: This contains datasets and pre-trained models for TopoMatch
DOI: 10.6084/m9.figshare.21175381.v1
title: Datasets_combined.xlsx

description: All datasets used for the RJMCMC, BDCS, MCDD, and MBD analyses plus the bibliography
DOI: 10.5281/zenodo.6517300
title: Structural data for "Structural and rheological evolution of brittle fault zones in mafic crust: Implications for the strength of oceanic transform faults"

description: Structural data for "Structural and rheological evolution of brittle fault zones in mafic crust: Implications for the strength of oceanic transform faults"
DOI: 10.5281/zenodo.6517301
title: Structural data for "Structural and rheological evolution of brittle fault zones in mafic crust: Implications for the strength of oceanic transform faults"

description: Structural data for "Structural and rheological evolution of brittle fault zones in mafic crust: Implications for the strength of oceanic transform faults"
DOI: 10.5281/zenodo.7265462
title: Structural data for "Structural and rheological evolution of brittle fault zones in mafic crust: Implications for the strength of oceanic transform faults"

description: Structural data for "Structural and rheological evolution of brittle fault zones in mafic crust: Implications for the strength of oceanic transform faults"
DOI: 10.5281/zenodo.7315558
title: Structural data for "Structural and rheological evolution of brittle fault zones in mafic crust: Implications for the strength of oceanic transform faults"

description: Structural data for "Structural and rheological evolution of brittle fault zones in mafic crust: Implications for the strength of oceanic transform faults"
DOI: 10.6084/m9.figshare.19651314.v2
title: AbEMap results: Epitope Maps with BM5 Ab Crystal inputs

description: One of AbEMap's applications is to map epitope on a given antigen crystal structure if the antibody structure (bound or unbound) is known. The results in this dataset are pdb files of the 40 antigens in Zhiping Weng's docking benchmark v. 5.0 with their b-factor changed to our protocol's score to reflect the likelihood of each atom being in the epitope when in complex with the respective antibodies.
DOI: 10.21227/jv6k-8v94
title: LiDAR Dataset for Face Anti-Spoofing(LDFAS)

description: This dataset is a face dataset collected for the purpose of a face anti-spoofing study.
DOI: 10.6084/m9.figshare.19651314
title: Figure 2: Epitope Maps and confusion matrix with BM5 Ab Crystal inputs

description: One of AbEMap's applications is to map epitope on a given antigen crystal structure if the antibody structure (bound or unbound) is known. The results in this dataset are pdb files of the 40 antigens in Zhiping Weng's docking benchmark v. 5.0 with their b-factor changed to our protocol's score to reflect the likelihood of each atom being in the epitope when in complex with the respective antibodies. The summary confusion matrix (residue based) for the epitope mapping done by AbEMap on the 40 antigens in BM5 with antibody crystal structures as input is also included. The text file contains the True Positive (TP), False Positive (FP), False Negative (FN) and True Negative (TN) counts for each antibody-antigen complex at different residue ranking thresholds (Top1, Top5, Top10, ... Top120).
DOI: 10.6084/m9.figshare.19651314.v3
title: AbEMap results: Epitope Maps and confusion matrix with BM5 Ab Crystal inputs

description: One of AbEMap's applications is to map epitope on a given antigen crystal structure if the antibody structure (bound or unbound) is known. The results in this dataset are pdb files of the 40 antigens in Zhiping Weng's docking benchmark v. 5.0 with their b-factor changed to our protocol's score to reflect the likelihood of each atom being in the epitope when in complex with the respective antibodies. The summary confusion matrix (residue based) for the epitope mapping done by AbEMap on the 40 antigens in BM5 with antibody crystal structures as input is also included. The text file contains the True Positive (TP), False Positive (FP), False Negative (FN) and True Negative (TN) counts for each antibody-antigen complex at different residue ranking thresholds (Top1, Top5, Top10, ... Top120).
DOI: 10.6084/m9.figshare.19651428.v1
title: AbEMap results: Epitope Maps with BM5.5 Crystal inputs

description: One of AbEMap's applications is to map epitope on a given antigen crystal structure if the antibody structure (bound or unbound) is known. The results in this dataset are pdb files of the 21 antigens in Zhiping Weng's docking benchmark v. 5.5 with their b-factor changed to our protocol's score to reflect the likelihood of each atom being in the epitope when in complex with the respective antibodies.
DOI: 10.34740/kaggle/dsv/4496227
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.19652130
title: Figure 1L: Epitope maps and confusion matrix with BM5 Ab sequence inputs

description: One of AbEMap's applications is to map epitope on a given antigen crystal structure if only the sequence of the antibody is entered by the user. The results in this dataset are pdb files of the 40 antigens in Zhiping Weng's docking benchmark v. 5.0 with their b-factor changed to our protocol's score to reflect the likelihood of each atom being in the epitope when in complex with the respective antibody. The summary confusion matrix (residue based) for the epitope mapping done by AbEMap on the 40 antigens in BM5 with antibody sequences as the input is also included. The text file contains the True Positive (TP), False Positive (FP), False Negative (FN) and True Negative (TN) counts for each antibody-antigen complex at different residue ranking thresholds (Top1, Top5, Top10, ... Top120). This confusion matrix was used to generate Fig 1L.
DOI: 10.6084/m9.figshare.19652130.v2
title: Figure 1L: Epitope maps and confusion matrix with BM5 Ab sequence inputs

description: One of AbEMap's applications is to map epitope on a given antigen crystal structure if only the sequence of the antibody is entered by the user. The results in this dataset are pdb files of the 40 antigens in Zhiping Weng's docking benchmark v. 5.0 with their b-factor changed to our protocol's score to reflect the likelihood of each atom being in the epitope when in complex with the respective antibody. The summary confusion matrix (residue based) for the epitope mapping done by AbEMap on the 40 antigens in BM5 with antibody sequences as the input is also included. The text file contains the True Positive (TP), False Positive (FP), False Negative (FN) and True Negative (TN) counts for each antibody-antigen complex at different residue ranking thresholds (Top1, Top5, Top10, ... Top120). This confusion matrix was used to generate Fig 1L.
DOI: 10.6084/m9.figshare.19652130.v1
title: AbEMap results: Epitope maps with BM5 Ab sequence inputs

description: One of AbEMap's applications is to map epitope on a given antigen crystal structure if only the sequence of the antibody is entered by the user. The results in this dataset are pdb files of the 40 antigens in Zhiping Weng's docking benchmark v. 5.0 with their b-factor changed to our protocol's score to reflect the likelihood of each atom being in the epitope when in complex with the respective antibody.
DOI: 10.6084/m9.figshare.21546630
title: Additional file 2 of Genome-wide SNPs in the spiny lobster Panulirus homarus reveal a hybrid origin for its subspecies

description: Additional file 2. Script of models used in this study for demographic analysis.
DOI: 10.6084/m9.figshare.21546630.v1
title: Additional file 2 of Genome-wide SNPs in the spiny lobster Panulirus homarus reveal a hybrid origin for its subspecies

description: Additional file 2. Script of models used in this study for demographic analysis.
DOI: 10.6084/m9.figshare.19651428.v2
title: Figure 4: Epitope Maps and confusion matrix with BM5.5 Crystal inputs

description: One of AbEMap's applications is to map epitope on a given antigen crystal structure if the antibody structure (bound or unbound) is known. The results in this dataset are pdb files of the 21 antigens in Zhiping Weng's docking benchmark v. 5.5 with their b-factor changed to our protocol's score to reflect the likelihood of each atom being in the epitope when in complex with the respective antibodies. The summary confusion matrix (residue based) for the epitope mapping done by AbEMap on 21 of the new antigens added to BM5.5 with antibody crystal structures as input is also included. The text file contains the True Positive (TP), False Positive (FP), False Negative (FN) and True Negative (TN) counts for each antibody-antigen complex at different residue ranking thresholds (Top1, Top5, Top10, ... Top120). This confusion matrix is used to generate Fig 4.
DOI: 10.6084/m9.figshare.6813815.v2
title: Additional file 1 of RETRACTED ARTICLE: LncRNA PVT1 triggers Cyto-protective autophagy and promotes pancreatic ductal adenocarcinoma development via the miR-20a-5p/ULK1 Axis

description: Figure S1. Expression pattern of ULK1 in a cohort of PDA patients in TCGA and cell lines. Figure S2. PVT1 regulates ULK1 expression in a posttranscriptional manner. Figure S3. Cellular location of PVT1 and miR-20a-5p in PDA cells. Figure S4. miR-20a-5p suppressed PVT1 function. Table S1. Clinicopathological information of 68 PDA patients in detail. Table S2. The PCR primer sequence to detect the target genes. Table S3. The sequence of the shRNAs to diminish the expression of PVT1. Table S4. Predicted microRNAs binding to ULK1 3’UTR by bioinformatics analysis. Table S5. Predicted microRNAs binding to PVT1 3’UTR by bioinformatics analysis. (ZIP 6594 kb)
DOI: 10.6084/m9.figshare.6813815
title: Additional file 1 of RETRACTED ARTICLE: LncRNA PVT1 triggers Cyto-protective autophagy and promotes pancreatic ductal adenocarcinoma development via the miR-20a-5p/ULK1 Axis

description: Figure S1. Expression pattern of ULK1 in a cohort of PDA patients in TCGA and cell lines. Figure S2. PVT1 regulates ULK1 expression in a posttranscriptional manner. Figure S3. Cellular location of PVT1 and miR-20a-5p in PDA cells. Figure S4. miR-20a-5p suppressed PVT1 function. Table S1. Clinicopathological information of 68 PDA patients in detail. Table S2. The PCR primer sequence to detect the target genes. Table S3. The sequence of the shRNAs to diminish the expression of PVT1. Table S4. Predicted microRNAs binding to ULK1 3’UTR by bioinformatics analysis. Table S5. Predicted microRNAs binding to PVT1 3’UTR by bioinformatics analysis. (ZIP 6594 kb)
DOI: 10.6084/m9.figshare.6813815.v1
title: Additional file 1: of LncRNA PVT1 triggers Cyto-protective autophagy and promotes pancreatic ductal adenocarcinoma development via the miR-20a-5p/ULK1 Axis

description: Figure S1. Expression pattern of ULK1 in a cohort of PDA patients in TCGA and cell lines. Figure S2. PVT1 regulates ULK1 expression in a posttranscriptional manner. Figure S3. Cellular location of PVT1 and miR-20a-5p in PDA cells. Figure S4. miR-20a-5p suppressed PVT1 function. Table S1. Clinicopathological information of 68 PDA patients in detail. Table S2. The PCR primer sequence to detect the target genes. Table S3. The sequence of the shRNAs to diminish the expression of PVT1. Table S4. Predicted microRNAs binding to ULK1 3â UTR by bioinformatics analysis. Table S5. Predicted microRNAs binding to PVT1 3â UTR by bioinformatics analysis. (ZIP 6594 kb)
DOI: 10.6084/m9.figshare.21546705
title: Additional file 2 of The ovipositor cue indole inhibits animal host attraction in Aedes aegypti (Diptera: Culicidae) mosquitoes

description: Additional file 2: Hand rings.stl. File format for 3D-printing of the two complementary hand rings.
DOI: 10.6084/m9.figshare.21546705.v1
title: Additional file 2 of The ovipositor cue indole inhibits animal host attraction in Aedes aegypti (Diptera: Culicidae) mosquitoes

description: Additional file 2: Hand rings.stl. File format for 3D-printing of the two complementary hand rings.
DOI: 10.6084/m9.figshare.21546708
title: Additional file 3 of The ovipositor cue indole inhibits animal host attraction in Aedes aegypti (Diptera: Culicidae) mosquitoes

description: Additional file 3: Chemical holder.stl. File format for 3D-printing of the chemical holder component.
DOI: 10.6084/m9.figshare.21546708.v1
title: Additional file 3 of The ovipositor cue indole inhibits animal host attraction in Aedes aegypti (Diptera: Culicidae) mosquitoes

description: Additional file 3: Chemical holder.stl. File format for 3D-printing of the chemical holder component.
DOI: 10.6084/m9.figshare.21546714
title: Additional file 5 of The ovipositor cue indole inhibits animal host attraction in Aedes aegypti (Diptera: Culicidae) mosquitoes

description: Additional file 5: Table S2. EC50 values (Log [M]) of AaegOR8-Orco concentration-response relationships.
DOI: 10.6084/m9.figshare.21546714.v1
title: Additional file 5 of The ovipositor cue indole inhibits animal host attraction in Aedes aegypti (Diptera: Culicidae) mosquitoes

description: Additional file 5: Table S2. EC50 values (Log [M]) of AaegOR8-Orco concentration-response relationships.
DOI: 10.6084/m9.figshare.21546766
title: Additional file 1 of A split influenza vaccine formulated with a combination adjuvant composed of alpha-d-glucan nanoparticles and a STING agonist elicits cross-protective immunity in pigs

description: Additional file 1: Figure S1. Nano11-SwIAV induced IL-4 and IL-6 cytokine gene expression in TBLN of vaccinated pigs. Five-week-old SPF pigs were administered twice ID/IM with NanoS100-SwIAV, Nano11-SwIAV or control NanoS100 and challenged at post-prime vaccination day 35 with SwIAV H1N1-OH7. TBLN samples collected and stored in RNAlater at DPC6 were analyzed for gene expression using SYBR Green qRT-PCR method. Data represent the mean value of 7-8 pigs ± SEM. Statistical analysis was performed by one-way ANOVA followed by Tukey’s post-test. Asterisk represents significant difference between indicated groups (*p &lt; 0.05, **p &lt; 0.01).
DOI: 10.6084/m9.figshare.21546766.v1
title: Additional file 1 of A split influenza vaccine formulated with a combination adjuvant composed of alpha-d-glucan nanoparticles and a STING agonist elicits cross-protective immunity in pigs

description: Additional file 1: Figure S1. Nano11-SwIAV induced IL-4 and IL-6 cytokine gene expression in TBLN of vaccinated pigs. Five-week-old SPF pigs were administered twice ID/IM with NanoS100-SwIAV, Nano11-SwIAV or control NanoS100 and challenged at post-prime vaccination day 35 with SwIAV H1N1-OH7. TBLN samples collected and stored in RNAlater at DPC6 were analyzed for gene expression using SYBR Green qRT-PCR method. Data represent the mean value of 7-8 pigs ± SEM. Statistical analysis was performed by one-way ANOVA followed by Tukey’s post-test. Asterisk represents significant difference between indicated groups (*p &lt; 0.05, **p &lt; 0.01).
DOI: 10.6084/m9.figshare.21546769
title: Additional file 2 of A split influenza vaccine formulated with a combination adjuvant composed of alpha-d-glucan nanoparticles and a STING agonist elicits cross-protective immunity in pigs

description: Additional file 2: Tables S1–S3. Antibody panels used in the flow cytometry analysis. The antibody panels employed for the analysis of T-helper/memory cells, CTLs, and myeloid cells in TBLN MNCs, PBMCs, and BAL cells in Panel#1[Table S1] (Myeloid cells); IL-17A+ lymphocyte subsets in Panel#2 [Table S2]; and IFNγ+ lymphocyte subsets in Panel#3 [Table S3].
DOI: 10.6084/m9.figshare.21546769.v1
title: Additional file 2 of A split influenza vaccine formulated with a combination adjuvant composed of alpha-d-glucan nanoparticles and a STING agonist elicits cross-protective immunity in pigs

description: Additional file 2: Tables S1–S3. Antibody panels used in the flow cytometry analysis. The antibody panels employed for the analysis of T-helper/memory cells, CTLs, and myeloid cells in TBLN MNCs, PBMCs, and BAL cells in Panel#1[Table S1] (Myeloid cells); IL-17A+ lymphocyte subsets in Panel#2 [Table S2]; and IFNγ+ lymphocyte subsets in Panel#3 [Table S3].
DOI: 10.6084/m9.figshare.21546784
title: Additional file 2 of Retained introns in long RNA-seq reads are not reliably detected in sample-matched short reads

description: Additional file 2. This file includes performance benchmarks applying tool-specific filtering criteria.
DOI: 10.6084/m9.figshare.21546784.v1
title: Additional file 2 of Retained introns in long RNA-seq reads are not reliably detected in sample-matched short reads

description: Additional file 2. This file includes performance benchmarks applying tool-specific filtering criteria.
DOI: 10.6084/m9.figshare.21546789
title: Additional file 1 of Effect of povidone-iodine and propanol-based mecetronium ethyl sulphate on antimicrobial resistance and virulence in Staphylococcus aureus

description: Additional file 1. Table S1: The minimum inhibitory concentration (MIC) of PVP-I and PBM, antimicrobial susceptibility profile and the corresponding resistance phenotype of S. aureus clinical isolates.
DOI: 10.6084/m9.figshare.21546789.v1
title: Additional file 1 of Effect of povidone-iodine and propanol-based mecetronium ethyl sulphate on antimicrobial resistance and virulence in Staphylococcus aureus

description: Additional file 1. Table S1: The minimum inhibitory concentration (MIC) of PVP-I and PBM, antimicrobial susceptibility profile and the corresponding resistance phenotype of S. aureus clinical isolates.
DOI: 10.6084/m9.figshare.21546798
title: Additional file 2 of Evaluating methodological approaches to assess the severity of infection with SARS-CoV-2 variants: scoping review and applications on Belgian COVID-19 data

description: Additional file 2. Data extraction form.
DOI: 10.6084/m9.figshare.21546798.v1
title: Additional file 2 of Evaluating methodological approaches to assess the severity of infection with SARS-CoV-2 variants: scoping review and applications on Belgian COVID-19 data

description: Additional file 2. Data extraction form.
DOI: 10.6084/m9.figshare.19651428
title: Figure 4: Epitope Maps and confusion matrix with BM5.5 Crystal and sequence inputs

description: AbEMap can map epitope on a given antigen crystal structure whether the antibody structure is known or not. The 2 sets of results in this zipped file are pdb files of the 21 antigens in Zhiping Weng's docking benchmark v. 5.5 with their b-factor changed to our protocol's score to reflect the likelihood of each atom being in the epitope when in complex when the respective antibodies are given as A) crystal structure and B) just sequence. The summary confusion matrix (residue based) for the epitope mapping done by AbEMap on 21 of the new antigens added to BM5.5 with A) antibody crystal structures and B) antibody sequence only as input. The text file contains the True Positive (TP), False Positive (FP), False Negative (FN) and True Negative (TN) counts for each antibody-antigen complex at different residue ranking thresholds (Top1, Top5, Top10, ... Top120). This confusion matrix is used to generate Fig 4.