cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12916271
title: Additional file 4 of LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

description: Additional file 4 : Table S3. Clostridioides difficile expression matrix. Genes are found in rows, while samples are found in columns.
DOI: 10.6084/m9.figshare.12916232.v1
title: Additional file 17 of LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

description: Additional file 17 : Table S16. Streptococcus pneumoniae expression matrix. Genes are found in rows, while samples are found in columns.
DOI: 10.6084/m9.figshare.12916241.v1
title: Additional file 1 of LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

description: Additional file 1 : Table S1. Quality control of the RNA-seq samples. The table indicates the species (first column), sample ID (second column), group ID processing the sample (third column), number of pseudoaligned reads (fourth column), percentage of pseudoaligned reads (fifth column) and an indication whether the sample passed the set quality thresholds (sixth column).
DOI: 10.6084/m9.figshare.12916286
title: Additional file 9 of LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

description: Additional file 9 : Table S8. Klebsiella pneumoniae expression matrix. Genes are found in rows, while samples are found in columns.
DOI: 10.6084/m9.figshare.12916277.v1
title: Additional file 6 of LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

description: Additional file 6 : Table S5. Escherichia coli expression matrix. Genes are found in rows, while samples are found in columns.
DOI: 10.6084/m9.figshare.12916283.v1
title: Additional file 8 of LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

description: Additional file 8 : Table S7. Helicobacter pylori expression matrix. Genes are found in rows, while samples are found in columns.
DOI: 10.6084/m9.figshare.12916286.v1
title: Additional file 9 of LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

description: Additional file 9 : Table S8. Klebsiella pneumoniae expression matrix. Genes are found in rows, while samples are found in columns.
DOI: 10.6084/m9.figshare.12916280
title: Additional file 7 of LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

description: Additional file 7 : Table S6. Haemophilus influenzae expression matrix. Genes are found in rows, while samples are found in columns.
DOI: 10.6084/m9.figshare.12916268.v1
title: Additional file 3 of LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

description: Additional file 3 : Table S2. Campylobacter jejuni expression matrix. Genes are found in rows, while samples are found in columns.
DOI: 10.6084/m9.figshare.12916274
title: Additional file 5 of LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

description: Additional file 5 : Table S4. Enterococcus faecalis expression matrix. Genes are found in rows, while samples are found in columns.
DOI: 10.6084/m9.figshare.12916274.v1
title: Additional file 5 of LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

description: Additional file 5 : Table S4. Enterococcus faecalis expression matrix. Genes are found in rows, while samples are found in columns.
DOI: 10.6084/m9.figshare.12916280.v1
title: Additional file 7 of LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

description: Additional file 7 : Table S6. Haemophilus influenzae expression matrix. Genes are found in rows, while samples are found in columns.
DOI: 10.6084/m9.figshare.3513677
title: Appendix B. Data collection procedure for all variables of anuran breeding habitat and landscape structure for 61 central Iowa, USA, wetlands surveyed March–July 2005.

description: Data collection procedure for all variables of anuran breeding habitat and landscape structure for 61 central Iowa, USA, wetlands surveyed March–July 2005.
DOI: 10.6084/m9.figshare.12916283
title: Additional file 8 of LSTrAP-Crowd: prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

description: Additional file 8 : Table S7. Helicobacter pylori expression matrix. Genes are found in rows, while samples are found in columns.
DOI: 10.6084/m9.figshare.3513677.v1
title: Appendix B. Data collection procedure for all variables of anuran breeding habitat and landscape structure for 61 central Iowa, USA, wetlands surveyed March–July 2005.

description: Data collection procedure for all variables of anuran breeding habitat and landscape structure for 61 central Iowa, USA, wetlands surveyed March–July 2005.
DOI: 10.6084/m9.figshare.3513674
title: Appendix A. Means, standard errors, and results of three-way analyses of variance, comparing vegetative attributes and bird richness and abundance in summer and winter, on 48 transects evenly divided among three habitat types that were embedded in vs. outside of exurban developments, with vs. without livestock, in the Sonoita Valley of southeastern Arizona, USA.

description: Means, standard errors, and results of three-way analyses of variance, comparing vegetative attributes and bird richness and abundance in summer and winter, on 48 transects evenly divided among three habitat types that were embedded in vs. outside of exurban developments, with vs. without livestock, in the Sonoita Valley of southeastern Arizona, USA.
DOI: 10.6084/m9.figshare.12916298
title: Additional file 1 of The efficacy of etanercept as anti-breast cancer treatment is attenuated by residing macrophages

description: Additional file 1.
DOI: 10.6084/m9.figshare.12916301
title: Additional file 2 of The efficacy of etanercept as anti-breast cancer treatment is attenuated by residing macrophages

description: Additional file 2.
DOI: 10.6084/m9.figshare.3513674.v1
title: Appendix A. Means, standard errors, and results of three-way analyses of variance, comparing vegetative attributes and bird richness and abundance in summer and winter, on 48 transects evenly divided among three habitat types that were embedded in vs. outside of exurban developments, with vs. without livestock, in the Sonoita Valley of southeastern Arizona, USA.

description: Means, standard errors, and results of three-way analyses of variance, comparing vegetative attributes and bird richness and abundance in summer and winter, on 48 transects evenly divided among three habitat types that were embedded in vs. outside of exurban developments, with vs. without livestock, in the Sonoita Valley of southeastern Arizona, USA.
DOI: 10.6084/m9.figshare.12916298.v1
title: Additional file 1 of The efficacy of etanercept as anti-breast cancer treatment is attenuated by residing macrophages

description: Additional file 1.
DOI: 10.6084/m9.figshare.3513671
title: Appendix B. Common and scientific names of birds recorded in this study and their counts on grazed vs. ungrazed transects, in exurban vs. undeveloped landscapes.

description: Common and scientific names of birds recorded in this study and their counts on grazed vs. ungrazed transects, in exurban vs. undeveloped landscapes.
DOI: 10.6084/m9.figshare.12916301.v1
title: Additional file 2 of The efficacy of etanercept as anti-breast cancer treatment is attenuated by residing macrophages

description: Additional file 2.
DOI: 10.6084/m9.figshare.3513671.v1
title: Appendix B. Common and scientific names of birds recorded in this study and their counts on grazed vs. ungrazed transects, in exurban vs. undeveloped landscapes.

description: Common and scientific names of birds recorded in this study and their counts on grazed vs. ungrazed transects, in exurban vs. undeveloped landscapes.
DOI: 10.6084/m9.figshare.3513668
title: Appendix C. Spearman rank correlations between bird counts and the number of homes within 250 m and between bird counts and height of ground vegetation in both summer and winter for all 48 transects and for those 24 transects in exurban neighborhoods.

description: Spearman rank correlations between bird counts and the number of homes within 250 m and between bird counts and height of ground vegetation in both summer and winter for all 48 transects and for those 24 transects in exurban neighborhoods.
DOI: 10.6084/m9.figshare.3513668.v1
title: Appendix C. Spearman rank correlations between bird counts and the number of homes within 250 m and between bird counts and height of ground vegetation in both summer and winter for all 48 transects and for those 24 transects in exurban neighborhoods.

description: Spearman rank correlations between bird counts and the number of homes within 250 m and between bird counts and height of ground vegetation in both summer and winter for all 48 transects and for those 24 transects in exurban neighborhoods.
DOI: 10.6084/m9.figshare.3513665
title: Appendix A. Summary table of the birds species represented in the sample population across the three-year study period.

description: Summary table of the birds species represented in the sample population across the three-year study period.
DOI: 10.6084/m9.figshare.3513665.v1
title: Appendix A. Summary table of the birds species represented in the sample population across the three-year study period.

description: Summary table of the birds species represented in the sample population across the three-year study period.
DOI: 10.6084/m9.figshare.3513662
title: Appendix B. The (a) digital orthophoto quarter-quad, (b) Georgia land-use map, and (c) ground-truthed DOQQ for study site 8.

description: The (a) digital orthophoto quarter-quad, (b) Georgia land-use map, and (c) ground-truthed DOQQ for study site 8.
DOI: 10.6084/m9.figshare.3513662.v1
title: Appendix B. The (a) digital orthophoto quarter-quad, (b) Georgia land-use map, and (c) ground-truthed DOQQ for study site 8.

description: The (a) digital orthophoto quarter-quad, (b) Georgia land-use map, and (c) ground-truthed DOQQ for study site 8.
DOI: 10.6084/m9.figshare.3513659
title: Appendix A. Methods and results for second-order Monte Carlo simulation exploring the reliability of prediction weights given different distribution shapes and dependence among elements of A.

description: Methods and results for second-order Monte Carlo simulation exploring the reliability of prediction weights given different distribution shapes and dependence among elements of A.
DOI: 10.6084/m9.figshare.3513659.v1
title: Appendix A. Methods and results for second-order Monte Carlo simulation exploring the reliability of prediction weights given different distribution shapes and dependence among elements of A.

description: Methods and results for second-order Monte Carlo simulation exploring the reliability of prediction weights given different distribution shapes and dependence among elements of A.
DOI: 10.6084/m9.figshare.3513656
title: Supplement 1. Maple file for constructing conditional probability tables from signed directed graphs, SDG graphical editor program, example BBNs for the parasitoid and lake mesocosm studies, and instruction guide for SDG-BBN construction.

description: File List Guide.pdf -- Instruction guide for SDG-BBN construction CPT Builder.mws -- Maple file that constructs conditional probability tables SDG Graphical Editor -- InstallAnywhere Self Extractor application that allows user to draw SDG and construct the transposed signed adjacency matrix °<b>A</b> parasitoid.neta -- Bayes net for parasitoid example lake.neta -- Bayes net for mesocosms example Description This instruction guide Guide.pdf describes in detail the transition from a signed directed graph (SDG) to a Bayesian Belief Network (BBN). The instruction guide begins by deriving the qualitative mathematics for the host-parasitoid example. Instructions are given for drawing an SDG and the associated matrix º<b>A</b> using the SDG Graphical Editor. The guide shows how to construct the conditional probabilities using the Maple file CPT Builder.mws. Example Bayes nets are included for the parasitoid example (parasitoid.neta) and the lake mesocosms example (lake.neta). These latter two files use the BBN software Netica, available at www.norsys.com.
DOI: 10.6084/m9.figshare.3513656.v1
title: Supplement 1. Maple file for constructing conditional probability tables from signed directed graphs, SDG graphical editor program, example BBNs for the parasitoid and lake mesocosm studies, and instruction guide for SDG-BBN construction.

description: File List Guide.pdf -- Instruction guide for SDG-BBN construction CPT Builder.mws -- Maple file that constructs conditional probability tables SDG Graphical Editor -- InstallAnywhere Self Extractor application that allows user to draw SDG and construct the transposed signed adjacency matrix °<b>A</b> parasitoid.neta -- Bayes net for parasitoid example lake.neta -- Bayes net for mesocosms example Description This instruction guide Guide.pdf describes in detail the transition from a signed directed graph (SDG) to a Bayesian Belief Network (BBN). The instruction guide begins by deriving the qualitative mathematics for the host-parasitoid example. Instructions are given for drawing an SDG and the associated matrix º<b>A</b> using the SDG Graphical Editor. The guide shows how to construct the conditional probabilities using the Maple file CPT Builder.mws. Example Bayes nets are included for the parasitoid example (parasitoid.neta) and the lake mesocosms example (lake.neta). These latter two files use the BBN software Netica, available at www.norsys.com.
DOI: 10.6084/m9.figshare.3513653
title: Appendix A. Model diagnostics.

description: Model diagnostics.
DOI: 10.6084/m9.figshare.3513653.v1
title: Appendix A. Model diagnostics.

description: Model diagnostics.
DOI: 10.6084/m9.figshare.3513650
title: Supplement 1. Source code for the program GRIP 1.0 (Generation of Random Input Parameters).

description: File List GRIP_1.r Description GRIP 1.0 is a program that generates sets of random input parameters for sensitivity analysis of population viability analysis (PVA) models created with RAMAS Metapop 4.0. Instructions for use can be read by opening GRIP_1.r in a text editor. GRIP 1.0 is written in and run with R, a statistical and graphical system. R can be downloaded freely from the R Project for Statistical Computing
DOI: 10.6084/m9.figshare.3513650.v1
title: Supplement 1. Source code for the program GRIP 1.0 (Generation of Random Input Parameters).

description: File List GRIP_1.r Description GRIP 1.0 is a program that generates sets of random input parameters for sensitivity analysis of population viability analysis (PVA) models created with RAMAS Metapop 4.0. Instructions for use can be read by opening GRIP_1.r in a text editor. GRIP 1.0 is written in and run with R, a statistical and graphical system. R can be downloaded freely from the R Project for Statistical Computing
DOI: 10.6084/m9.figshare.3513647
title: Appendix A. Plant taxa analyzed, by Great Lake, and average water depth of plots occupied by each taxon.

description: Plant taxa analyzed, by Great Lake, and average water depth of plots occupied by each taxon.
DOI: 10.6084/m9.figshare.12900440
title: Additional file 2 of Influence of electromagnetic radiation emitted by daily-use electronic devices on the Eyemate® system in-vitro: a feasibility study

description: Additional file 2.
DOI: 10.6084/m9.figshare.12900446
title: Additional file 3 of Influence of electromagnetic radiation emitted by daily-use electronic devices on the Eyemate® system in-vitro: a feasibility study

description: Additional file 3.
DOI: 10.6084/m9.figshare.12900437.v1
title: Additional file 1 of Influence of electromagnetic radiation emitted by daily-use electronic devices on the Eyemate® system in-vitro: a feasibility study

description: Additional file 1.
DOI: 10.6084/m9.figshare.12900452.v1
title: Additional file 4 of Influence of electromagnetic radiation emitted by daily-use electronic devices on the Eyemate® system in-vitro: a feasibility study

description: Additional file 4.
DOI: 10.6084/m9.figshare.12900452
title: Additional file 4 of Influence of electromagnetic radiation emitted by daily-use electronic devices on the Eyemate® system in-vitro: a feasibility study

description: Additional file 4.
DOI: 10.6084/m9.figshare.3513647.v1
title: Appendix A. Plant taxa analyzed, by Great Lake, and average water depth of plots occupied by each taxon.

description: Plant taxa analyzed, by Great Lake, and average water depth of plots occupied by each taxon.
DOI: 10.6084/m9.figshare.12900437
title: Additional file 1 of Influence of electromagnetic radiation emitted by daily-use electronic devices on the Eyemate® system in-vitro: a feasibility study

description: Additional file 1.
DOI: 10.6084/m9.figshare.12900446.v1
title: Additional file 3 of Influence of electromagnetic radiation emitted by daily-use electronic devices on the Eyemate® system in-vitro: a feasibility study

description: Additional file 3.
DOI: 10.6084/m9.figshare.12900440.v1
title: Additional file 2 of Influence of electromagnetic radiation emitted by daily-use electronic devices on the Eyemate® system in-vitro: a feasibility study

description: Additional file 2.
DOI: 10.6084/m9.figshare.3513644
title: Appendix B. Distinctive characters of sedges incorporated into multi-taxa models.

description: Distinctive characters of sedges incorporated into multi-taxa models.
DOI: 10.6084/m9.figshare.12916400
title: Additional file 5 of De novo transcriptome assembly and population genetic analyses of an important coastal shrub, Apocynum venetum L

description: Additional file 5 Table S2 The SSR type, expression level and KEGG annotation of 88 flavonoid biosynthesis related genes in A. venetum.
DOI: 10.6084/m9.figshare.3513644.v1
title: Appendix B. Distinctive characters of sedges incorporated into multi-taxa models.

description: Distinctive characters of sedges incorporated into multi-taxa models.
DOI: 10.6084/m9.figshare.3513641
title: Appendix A. Climate variables at our field site over the course of this study showing the variation in precipitation, volumetric soil moisture, and temperature.

description: Climate variables at our field site over the course of this study showing the variation in precipitation, volumetric soil moisture, and temperature.
DOI: 10.6084/m9.figshare.3513641.v1
title: Appendix A. Climate variables at our field site over the course of this study showing the variation in precipitation, volumetric soil moisture, and temperature.

description: Climate variables at our field site over the course of this study showing the variation in precipitation, volumetric soil moisture, and temperature.
DOI: 10.6084/m9.figshare.12916400.v1
title: Additional file 5 of De novo transcriptome assembly and population genetic analyses of an important coastal shrub, Apocynum venetum L

description: Additional file 5 Table S2 The SSR type, expression level and KEGG annotation of 88 flavonoid biosynthesis related genes in A. venetum.
DOI: 10.6084/m9.figshare.3513638
title: Appendix B. Regression parameters for modeled vs. measured transpiration values across the range of root:leaf area ratios run in our simulations.

description: Regression parameters for modeled vs. measured transpiration values across the range of root:leaf area ratios run in our simulations.
DOI: 10.6084/m9.figshare.3513638.v1
title: Appendix B. Regression parameters for modeled vs. measured transpiration values across the range of root:leaf area ratios run in our simulations.

description: Regression parameters for modeled vs. measured transpiration values across the range of root:leaf area ratios run in our simulations.
DOI: 10.6084/m9.figshare.3513635
title: Appendix C. A figure showing measured leaf-level transpiration and predicted transpiration for Pinus edulis and Juniperus osteosperma over the course of the study.

description: A figure showing measured leaf-level transpiration and predicted transpiration for Pinus edulis and Juniperus osteosperma over the course of the study.
DOI: 10.6084/m9.figshare.12858548.v1
title: Additional file 6 of LAITOR4HPC: A text mining pipeline based on HPC for building interaction networks

description: Additional file 6. Building pathways (Third case study report). Excel file containing a curated list of interaction identified with LAITOR4HPC in Arabidopsis thaliana for the “plant AND defensing” keywords filtered PMIDs. This list embraces automatic and manual annotation of the mapped data.
DOI: 10.6084/m9.figshare.12858548
title: Additional file 6 of LAITOR4HPC: A text mining pipeline based on HPC for building interaction networks

description: Additional file 6. Building pathways (Third case study report). Excel file containing a curated list of interaction identified with LAITOR4HPC in Arabidopsis thaliana for the “plant AND defensing” keywords filtered PMIDs. This list embraces automatic and manual annotation of the mapped data.
DOI: 10.6084/m9.figshare.12858542.v1
title: Additional file 4 of LAITOR4HPC: A text mining pipeline based on HPC for building interaction networks

description: Additional file 4. Using keywords to look for all described interactions on one subject, all plants summary (Second case study report). Excel file containing information about the total of proteins, co-occurrences and terms of interaction mapped by LAITOR4HPC in 12 plant species considering the biotic stress related PMIDs. For each category there are information about the absolute number of each element category, the total number of elements and the number of non-redundant elements. Additionally, one section is dedicated to the total for each interaction type, INT_1 (more likely to be effective) to INT_4 (less likely to be effective).
DOI: 10.6084/m9.figshare.12858536
title: Additional file 2 of LAITOR4HPC: A text mining pipeline based on HPC for building interaction networks

description: Additional file 2. Searching bioentities co-occurrences in all available abstracts for one specie (First case study report). Excel file containing information about the total of proteins, co-occurrences and terms of interaction mapped by LAITOR4HPC in Glicine max. For each category there are information about the absolute number of each element category, the total number of elements and the number of non-redundant elements. Additionally, one section is dedicated to the total for each interaction type, INT_1 (more likely to be effective) to INT_4 (less likely to be effective).
DOI: 10.6084/m9.figshare.12858545
title: Additional file 5 of LAITOR4HPC: A text mining pipeline based on HPC for building interaction networks

description: Additional file 5. Using keywords to look for all described interactions in Arabidopsis thaliana (Third case study report). Excel file containing information about the total of proteins, co-occurrences and terms of interaction mapped by LAITOR4HPC in Arabidopsis thaliana. For each category, there are information about the absolute number of each element category, the total number of elements and the number of non-redundant elements. Additionally, one section is dedicated to the total for each interaction type, INT_1 (more likely to be effective) to INT_4 (less likely to be effective).
DOI: 10.6084/m9.figshare.3513635.v1
title: Appendix C. A figure showing measured leaf-level transpiration and predicted transpiration for Pinus edulis and Juniperus osteosperma over the course of the study.

description: A figure showing measured leaf-level transpiration and predicted transpiration for Pinus edulis and Juniperus osteosperma over the course of the study.