cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive141065.20221219.7.1
title: Fulvivirga lutimaris

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141066.20220920.7
title: Gramella sediminilitoris

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141066.20221219.7.1
title: Gramella sediminilitoris

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141067.20220920.7
title: Halostella salina

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141067.20221219.7.1
title: Halostella salina

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141068.20220920.7
title: Crenalkalicoccus roseus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141068.20221219.7.1
title: Crenalkalicoccus roseus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141069.20220920.7
title: Fermentibacillus polygoni

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141069.20221219.7.1
title: Fermentibacillus polygoni

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141070.20220920.7
title: Flavobacterium tistrianum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141070.20221219.7.1
title: Flavobacterium tistrianum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141071.20220920.7
title: Luteimonas arsenica

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141071.20221219.7.1
title: Luteimonas arsenica

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141072.20220920.7
title: Maliponia aquimaris

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141072.20221219.7.1
title: Maliponia aquimaris

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141073.20220920.7
title: Thalassobaculum fulvum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141073.20221219.7.1
title: Thalassobaculum fulvum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive141074.20220920.7
title: Agromyces insulae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.14966143.v1
title: Additional file 3 of Transcription-coupled structural dynamics of topologically associating domains regulate replication origin efficiency

description: Additional file 3: Table S2. Sequence of TADs and origins (TAD3 & TAD4 & TAD5).
DOI: 10.6084/m9.figshare.7103513.v1
title: Additional file 20: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Conserved LncRNAs. The 39 groups of orthologous genes across all five species are listed with the associated lncRNAs. Human and mouse lncRNA IDs are NCBI transcript IDs. (XLSX 21 kb)
DOI: 10.6084/m9.figshare.11300147
title: MOESM2 of Identification and expression analysis of GRAS transcription factors in the wild relative of sweet potato Ipomoea trifida

description: Additional file 2: Table S1. Detailed information of the ItfGRAS. (XLS 29 kb)
DOI: 10.6084/m9.figshare.14966146
title: Additional file 4 of Transcription-coupled structural dynamics of topologically associating domains regulate replication origin efficiency

description: Additional file 4: Table S3. Information for probes and primers.
DOI: 10.6084/m9.figshare.7103531.v1
title: Additional file 5: of Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci

description: Table S3. Gene annotation statistics of SN265 and R99. (XLSX 9Â kb)
DOI: 10.5066/f7pr7v63
title: Quality Assurance of Water Level Records from Wells in the Mississippi River Valley Alluvial Aquifer in Missouri from the Missouri Department of Natural Resource's Well Information Management System (WIMS)

description: The Missouri Department of Natural Resources' (MoDNR) Well Information Management System (WIMS) is a repository for recent (1983-present) well information that includes date of completion, well construction, geology, and water level. Well information is provided by the well drillers during the permitting process and is updated regularly by MoDNR. This data set consists of well records that were drilled into or through the Mississippi River Valley alluvial aquifer in an approximately 7 county area in southeastern Missouri as reported by the well drillers. Records that met specific threshold criteria were identified and statistical analysis done to ensure that the well was open to the Mississippi River Valley Alluvial aquifer (Asquith and others, 2020). Records that did not meet the specific criteria were identified and noted in the MoDNR WIMS dataset. Water levels from wells meeting all criteria were placed into a final dataset to be used in groundwater modeling efforts for the Mississippi River Valley alluvial aquifer. Each original record can be found in the WIMS data base by searching for the well reference number. The MoDNR site can be accessed at the following URL: https://www.dnr.mo.gov/mowells/.
DOI: 10.6084/m9.figshare.11300147.v1
title: MOESM2 of Identification and expression analysis of GRAS transcription factors in the wild relative of sweet potato Ipomoea trifida

description: Additional file 2: Table S1. Detailed information of the ItfGRAS. (XLS 29 kb)
DOI: 10.6084/m9.figshare.7103543.v1
title: Additional file 23: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: FEELnc Coding Potential Scores for Cattle LncRNAs. The coding potential scores calculated by FEELnc. The “coding_potential” column is the coding potential score, with 0 being the least likely to be coding and 1 being most likely. The “label” column is 0 or 1 to indicate if the score lies above or below the cutoff determined by FEELnc using cross validation. 0 indicates a predicted lncRNA while 1 is a predicted coding transcript. (XLSX 173 kb)
DOI: 10.6084/m9.figshare.7103519.v1
title: Additional file 4: of Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci

description: Table S2. Gene prediction statistics of SN265 and R99. (XLSX 9Â kb)
DOI: 10.5066/p9xbbbuu
title: Airborne electromagnetic, magnetic, and radiometric survey of the Mississippi Alluvial Plain, November 2018 - February 2019

description: Airborne electromagnetic (AEM), magnetic, and radiometric data were acquired November 2018 to February 2019 along 16,816 line-kilometers (line-km) over the Mississippi Alluvial Plain (MAP). Data were acquired by CGG Canada Services, Ltd. with three different helicopter-borne sensors: the CGG Canada Services, Ltd. Resolve frequency-domain AEM instrument that is used to map subsurface geologic structure at depths up to 100 meters, depending on the subsurface resistivity; a Scintrex CS-3 cesium vapor magnetometer that detects changes in deep (hundreds of meters to kilometers) geologic structure based on variations in the magnetic properties of different formations; and a Radiation Solutions RS-500 spectrometer that detects the abundance of natural radioelements potassium, uranium, and thorium in the upper 20-30 cm that is used to determine differences in soil constituents. The survey was flown at a nominal sensor flight height of 30 m above terrain with 6- to 12-kilometer spaced east-west flight lines. The main survey block covers 13,641 line-km, including two north-south tie lines extending the length of the survey. Several rivers were surveyed along their center axes, covering 2,640 line-km (flight line numbers 8010000-8100001 nonsuccessive), and two separate inset grids were flown: (1) Crowley's Ridge in Arkansas with 1.5-km spaced east-west flight lines for a total of 406 line-km (flight line numbers 24025-24477 nonsuccessive) and (2) University of Memphis focus area in Tennessee with variable line spacing for a total of 129 line-km (flight line numbers 30010-30060 and 39010-39050 nonsuccessive). This data release includes minimally processed (raw) AEM data as supplied by CGG Canada Services, Ltd., the fully processed (averaged and culled) sounding data, and laterally constrained inverted resistivity depth sections along all flight lines, as well as unprocessed and processed (diurnally corrected and draped to terrain) magnetic data, and unprocessed and processed (following International Atomic Energy Agency Technical Report procedures) radiometric data. Data acquisition and minimal processing were conducted by CGG Canada Services, Ltd. and described in detail in the contractor's report. Digital data from production flights are provided, and data fields are defined in the data dictionary. A total field magnetic anomaly grid and a ternary radiometric image are provided as well. REFERENCES International Atomic Energy Agency, 1991, Airborne Gamma Ray Spectrometer Surveying, Technical Reports Series No. 323, IAEA, Vienna, https://inis.iaea.org/collection/NCLCollectionStore/_Public/22/072/22072114.pdf. U.S. Geological Survey, The National Map, 2017, 3DEP products and services: The National Map, 3D Elevation Program Web page, accessed October 2018 at https://nationalmap.gov/3DEP/3dep_prodserv.html.
DOI: 10.6084/m9.figshare.14442972
title: Additional file 1 of Bioinformatic analysis identifies potential biomarkers and therapeutic targets of septic-shock-associated acute kidney injury

description: Additional file 1. Differentially expressed genes involved in AKI samples.
DOI: 10.6084/m9.figshare.7103543
title: Additional file 23: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: FEELnc Coding Potential Scores for Cattle LncRNAs. The coding potential scores calculated by FEELnc. The “coding_potential” column is the coding potential score, with 0 being the least likely to be coding and 1 being most likely. The “label” column is 0 or 1 to indicate if the score lies above or below the cutoff determined by FEELnc using cross validation. 0 indicates a predicted lncRNA while 1 is a predicted coding transcript. (XLSX 173 kb)
DOI: 10.6084/m9.figshare.7103600
title: Additional file 4: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Exon Locations of Chicken LncRNAs. The genomic locations of the exons of all chicken lncRNAs. (GTF 7220 kb)
DOI: 10.5066/p9o3xgbk
title: Groundwater levels and other covariates useful for statistical modeling for the Mississippi River Valley Alluvial aquifer, Mississippi Alluvial Plain

description: Groundwater-level data, in conjunction with attendant metadata and covariates (predictor variables) data, for the Mississippi River Valley alluvial aquifer (MRVA) are used to support statistical and process-based numerical modeling. This page represents a collection of groundwater-level data within the expanse of the Mississippi Alluvial Plain (MAP) (Painter and Westerman, 2018) and are derived from well-specific periods of record of discrete measurements and continuous water levels aggregated to daily statistics. The basic data structures are intended also to serve as interpretability standards for use by statistical software such as described by Asquith and Seanor (2019) and Asquith and others (2019).
DOI: 10.5066/p9hoibb8
title: Quality Assurance of Water-Level Records from Wells in the Mississippi River Valley Alluvial Aquifer in Missouri from the Missouri Department of Natural Resources Well Information Management System (WIMS) from July 28, 2016, through December 31, 2018

description: This dataset contains the final water-level records (334) that met all threshold criteria and had an absolute residual (ABS_PSEUDO_LEV) of less than 20 feet. The threshold of 20 feet was selected based on water-level changes of the U.S. Geological Survey groundwater site 363551090152801 Qulin, in the Mississippi River Valley alluvial aquifer. This final dataset is considered a best representation of the true water-levels in the aquifer.
DOI: 10.5281/zenodo.10666554
title: Supporting Information for "Insights into Venus' crustal plateaus from dyke trajectories below craters" (Simulation results)

description: This repository contains the results presented in the article submitted to Journal of Geophysical Research: Planets entitle "Insights into Venus' crustal plateaus from dyke trajectories below craters" by Le Contellec A., Michaut C., Maccaferri F., Pinel V., Chambat F., Smrekar S.. 

It provides the simulations parameters and results of dyke propagation in a crater stress field in the conditions of Venus, using the dyke propagation code developped by F. Maccaferri (Maccaferri et al, 2020) and a stress field computation code (Le Contellec, 2024) to compute the crater stress field. 

The classification of the results corresponds to the categories defined in Section 4 of the article and are as follows: (1) corresponds to no dykes reaching the surface (green triangles), (2) to dykes reaching the surface within and outside the crater (blue dots), (3) to dykes reaching the surface exclusively within the crater (pink stars), and (4) to dykes reaching the surface exclusively outside the crater (orange diamonds).Parameters used are: crater radius R in km, initial depth (i.e. crustal thickness) Di in km, magma density ⍴mag in kg.m3, crust density ⍴c in kg.m3, density ratio ⍴mag/⍴c, initial length of the dyke L in km, initial fluid overpressure calculated from Weertman's formula ΔPi (Equation 14 of the article) in MPa, maximum value of the stress component σrr,max in MPa, maximum shear stress component on the coordinate planes σrz,max in MPa, dimensionless number ẟ (Equation 18 of the article), dimensionless number Γ (Equation 16 of the article) and the classification of the simulation result (1 to 4 depending on the observed behaviour).
DOI: 10.5281/zenodo.10666555
title: Supporting Information for "Insights into Venus' crustal plateaus from dyke trajectories below craters" (Simulation results)

description: This repository contains the results presented in the article submitted to Journal of Geophysical Research: Planets entitle "Insights into Venus' crustal plateaus from dyke trajectories below craters" by Le Contellec A., Michaut C., Maccaferri F., Pinel V., Chambat F., Smrekar S.. 

It provides the simulations parameters and results of dyke propagation in a crater stress field in the conditions of Venus, using the dyke propagation code developped by F. Maccaferri (Maccaferri et al, 2020) and a stress field computation code (Le Contellec, 2024) to compute the crater stress field. 

The classification of the results corresponds to the categories defined in Section 4 of the article and are as follows: (1) corresponds to no dykes reaching the surface (green triangles), (2) to dykes reaching the surface within and outside the crater (blue dots), (3) to dykes reaching the surface exclusively within the crater (pink stars), and (4) to dykes reaching the surface exclusively outside the crater (orange diamonds).Parameters used are: crater radius R in km, initial depth (i.e. crustal thickness) Di in km, magma density ⍴mag in kg.m3, crust density ⍴c in kg.m3, density ratio ⍴mag/⍴c, initial length of the dyke L in km, initial fluid overpressure calculated from Weertman's formula ΔPi (Equation 14 of the article) in MPa, maximum value of the stress component σrr,max in MPa, maximum shear stress component on the coordinate planes σrz,max in MPa, dimensionless number ẟ (Equation 18 of the article), dimensionless number Γ (Equation 16 of the article) and the classification of the simulation result (1 to 4 depending on the observed behaviour).
DOI: 10.6084/m9.figshare.7103642
title: Additional file 8: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: LncRNA Classes from Chickens. (TSV 3281 kb)
DOI: 10.6084/m9.figshare.7103651
title: Additional file 9: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: LncRNA Classes from Cattle. The output from the FEELnc Classifier program, which finds nearby protein-coding genes for each lncRNA and classifies their positional relationship. See AdditionalÂ fileÂ 8 for column descriptions. (TSV 1794 kb)
DOI: 10.6084/m9.figshare.7103624
title: Additional file 6: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Exon Locations of Pig LncRNAs. The genomic locations of the exons of all pig lncRNAs. (GTF 9045 kb)
DOI: 10.6084/m9.figshare.14966249
title: Additional file 2 of Genome-wide identification of cyclin-dependent kinase (CDK) genes affecting adipocyte differentiation in cattle

description: Additional file 2. Protein sequences of CDK family members in ten species.
DOI: 10.6084/m9.figshare.7103468
title: Additional file 19: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: GO terms associate with tissue-specific lncRNAs in pigs. This file contains tables from the DAVID analysis tool for each of the eight tissues, showing GO terms enriched by genes associated with tissue-specific lncRNAs in pigs. GO terms outside a significance cutoff of p-value &lt;â 0.01 are shaded in red. See AdditionalÂ fileÂ 17 for column descriptions. (XLSX 144 kb)
DOI: 10.6084/m9.figshare.7103477
title: Additional file 13: of Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci

description: Table S6. The QTL analysis for 15 agronomic traits in the three areas. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.7103651.v1
title: Additional file 9: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: LncRNA Classes from Cattle. The output from the FEELnc Classifier program, which finds nearby protein-coding genes for each lncRNA and classifies their positional relationship. See AdditionalÂ fileÂ 8 for column descriptions. (TSV 1794 kb)
DOI: 10.6084/m9.figshare.7103483
title: Additional file 1: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Sequences of Chicken LncRNAs. A fasta file containing all the lncRNA sequences from chickens. (FA 34950 kb)
DOI: 10.6084/m9.figshare.7103513
title: Additional file 20: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: Conserved LncRNAs. The 39 groups of orthologous genes across all five species are listed with the associated lncRNAs. Human and mouse lncRNA IDs are NCBI transcript IDs. (XLSX 21 kb)
DOI: 10.6084/m9.figshare.7628048
title: Additional file 8: of Comparative genomics revealed the gene evolution and functional divergence of magnesium transporter families in Saccharum

description: The exon number of MGTs. (XLS 38 kb)
DOI: 10.6084/m9.figshare.7628048.v1
title: Additional file 8: of Comparative genomics revealed the gene evolution and functional divergence of magnesium transporter families in Saccharum

description: The exon number of MGTs. (XLS 38 kb)
DOI: 10.6084/m9.figshare.7103516
title: Additional file 3: of Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci

description: Table S1. Repeat sequence prediction statistics in SN265 and R99. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.7628087.v1
title: Additional file 2: of Guide RNAs with embedded barcodes boost CRISPR-pooled screens

description: Table S1. Results of sgRNAiBAR-ANTXR1 library screening for the cytotoxicity of PA/LFnDTA. Table S2. Sequences of the human genome-scale sgRNAiBAR library. Table S3. Results of the human genome-scale sgRNAiBAR library screening at different MOI for the cytotoxicity of TcdB using MAGeCKiBAR analysis. (XLSX 15253 kb)
DOI: 10.6084/m9.figshare.7103516.v1
title: Additional file 3: of Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci

description: Table S1. Repeat sequence prediction statistics in SN265 and R99. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.21258710.v1
title: Additional file 1 of Interaction analysis of lipid accumulation product and family history of diabetes on impaired fasting glucose and diabetes risk in population with normotension in Eastern China: a community-based cross-sectional survey

description: Additional file 1.
DOI: 10.6084/m9.figshare.7103537
title: Additional file 6: of Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci

description: Table S4. Predicted non-coding RNAs, pseudogenes, and motifs. (XLSX 9Â kb)
DOI: 10.6084/m9.figshare.7628153
title: MOESM7 of Genomic sequencing, genome-scale metabolic network reconstruction, and in silico flux analysis of the grape endophytic fungus Alternaria sp. MG1

description: Additional file 7. Dataset S6. Flux distribution involved in resveratrol synthesis with the ethanol uptake rate perturbed from 0 to 0.05Â mmol/gDW/h.
DOI: 10.6084/m9.figshare.11300159
title: MOESM3 of Identification and expression analysis of GRAS transcription factors in the wild relative of sweet potato Ipomoea trifida

description: Additional file 3: Table S2. Arabidopsis and rice GRAS genes used for phylogenetic analysis. (XLS 26 kb)
DOI: 10.6084/m9.figshare.7103549.v1
title: Additional file7: of Genome sequencing of rice subspecies and genetic analysis of recombinant lines reveals regional yield- and quality-associated loci

description: Table S5. The yield components and quality traits of japonica, intermediate type and indica-type plants in the three areas. (XLSX 14Â kb)
DOI: 10.6084/m9.figshare.7103552
title: Additional file 24: of Genome-wide identification of tissue-specific long non-coding RNA in three farm animal species

description: FEELnc Coding Potential Scores for Pig LncRNAs. The coding potential scores calculated by FEELnc. The “coding_potential” column is the coding potential score, with 0 being the least likely to be coding and 1 being most likely. The “label” column is 0 or 1 to indicate if the score lies above or below the cutoff determined by FEELnc using cross validation. 0 indicates a predicted lncRNA while 1 is a predicted coding transcript. (XLSX 323 kb)