cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive135363.20171208.2.1
title: Achromobacter xylosoxidans

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive136212.20171208.2.1
title: Shigella flexneri

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive136213.20171208.2.1
title: Neisseria gonorrhoeae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive136214.20171208.2.1
title: Klebsiella pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive136215.20171208.2.1
title: Escherichia coli

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive136216.20171208.2.1
title: Klebsiella pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive136217.20171208.2.1
title: Neisseria meningitidis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive136218.20171208.2.1
title: Staphylococcus saprophyticus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive136219.20171208.2.1
title: Klebsiella pneumoniae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive137039.20171208.2.1
title: Lactobacillus rhamnosus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.11536989
title: Data from "Contrasting mechanisms underlie short- and longer-term soil respiration responses to experimental warming in a dryland ecosystem"

description: R code and Data from "Dacal, M., García- Palacios, P., Asensio, S., Cano-Díaz, C., Gozalo, B., Ochoa, V. & Maestre, F. T. (2020) Contrasting mechanisms underlie short- and longer-term soil respiration responses to experimental warming in a dryland ecosystem. Global Change Biology 26 (9): 5254-5266. DOI:10.1111/gcb.15209"<br>There are several items:The document Dacal_et_al_R_Code contains the R code to perform the analyses, whereas the other ones are databases. Specifically,the databases are the following ones:- Dacal_et_al_field_respiration_filled: contains the data of the measurements of soil respiration, temperature and moisture conducted on the field at each sampling date. The gaps on this databased were filled using data imputation.- Dacal_et_al_field_respiration_original: contains the data of the measurements of soil respiration, temperature and moisture conducted on the field at each sampling date. These is the original data with gaps of missing data.<br>-Dacal_et_al_soil_moisture_continuous: contains the monthly mean of soil moisture measured continuously during both sampling periods.-Dacal_et_al_Q10_Cov_filled: shows the data of the temperature sensitivity and the percentage of biocrust cover measured once for both the short- and the longer-term. The gaps on this databased were filled using data imputation.-Dacal_et_al_Q10_Cov_original: shows the data of the temperature sensitivity and the percentage of biocrust cover measured once for both the short- and the long-term. These is the original data with gaps of missing data.<br>-Dacal_et_al_RR: contains the response ratios data (RR) calculated as explained in the material and methods-Dacal_et_al_Thermal_Acclimation: shows the data of soil respiration of the laboratory incubations conducted at 10, 20, 30 and 40ºC with soils colected after nine years of the experiment set-up (longer-term).In all the databases there are two spreadsheets. The spreadsheet "DATA" contains the raw data . The spreadsheet "METADATA" contains the associated metadata, where a description of all the variables and units can be found. All the methodological details can be found in the article.
DOI: 10.6084/m9.figshare.11536989.v3
title: Data from "Contrasting mechanisms underlie short- and longer-term soil respiration responses to experimental warming in a dryland ecosystem"

description: R code and Data from "Dacal, M., García- Palacios, P., Asensio, S., Cano-Díaz, C., Gozalo, B., Ochoa, V. & Maestre, F. T. (2020) Contrasting mechanisms underlie short- and longer-term soil respiration responses to experimental warming in a dryland ecosystem. Global Change Biology 26 (9): 5254-5266. DOI:10.1111/gcb.15209"<br>There are several items:The document Dacal_et_al_R_Code contains the R code to perform the analyses, whereas the other ones are databases. Specifically,the databases are the following ones:- Dacal_et_al_field_respiration_filled: contains the data of the measurements of soil respiration, temperature and moisture conducted on the field at each sampling date. The gaps on this databased were filled using data imputation.- Dacal_et_al_field_respiration_original: contains the data of the measurements of soil respiration, temperature and moisture conducted on the field at each sampling date. These is the original data with gaps of missing data.<br>-Dacal_et_al_soil_moisture_continuous: contains the monthly mean of soil moisture measured continuously during both sampling periods.-Dacal_et_al_Q10_Cov_filled: shows the data of the temperature sensitivity and the percentage of biocrust cover measured once for both the short- and the longer-term. The gaps on this databased were filled using data imputation.-Dacal_et_al_Q10_Cov_original: shows the data of the temperature sensitivity and the percentage of biocrust cover measured once for both the short- and the long-term. These is the original data with gaps of missing data.<br>-Dacal_et_al_RR: contains the response ratios data (RR) calculated as explained in the material and methods-Dacal_et_al_Thermal_Acclimation: shows the data of soil respiration of the laboratory incubations conducted at 10, 20, 30 and 40ºC with soils colected after nine years of the experiment set-up (longer-term).In all the databases there are two spreadsheets. The spreadsheet "DATA" contains the raw data . The spreadsheet "METADATA" contains the associated metadata, where a description of all the variables and units can be found. All the methodological details can be found in the article.
DOI: 10.6084/m9.figshare.14439425.v2
title: Biofuels reserve controlled wildfire regimes since the last deglaciation: a record from Gonghai Lake, North China

description: <b>Wildfire activity is an important factor in the evolution of vegetation. However, our knowledge of the response of wildfire to dry-wet climate and environmental changes during the past ~11,600 years (the Holocene) is still debatable. We conducted a study of the black carbon record of a sediment core spanning the last 14.8 kyr from Gonghai Lake, located in North China. We observed a close relationship between the timing of wildfire activity and vegetation development that driven by summer monsoon intensity.On multi-millennial timescale, suitable climatic conditions provid a sufficient biofuels reserve to sustain wildfire. The regional potential biofuels reserve is shown to be an important control on regional wildfire activity in the monsoon region of China, under natural conditions. It can be inferred that with strengthening of global warming and East Asian summer monsoon, incidence of wildfire in monsoon region of China may be higher in future. </b>
DOI: 10.6084/m9.figshare.11536989.v2
title: Data from "Contrasting mechanisms underlie short- and longer-term soil respiration responses to experimental warming in a dryland ecosystem"

description: R code and Data from "Dacal, M., García- Palacios, P., Asensio, S., Cano-Díaz, C., Gozalo, B., Ochoa, V. & Maestre, F. T. "Contrasting mechanisms underlie short- and longer-term soil respiration responses to experimental warming in a dryland ecosystem. Global Change Biology. DOI:10.1111/gcb.15209"<br>There are several items:The document Dacal_et_al_R_Code contains the R code to perform the analyses, whereas the other ones are databases. Specifically,the databases are the following ones:- Dacal_et_al_field_respiration_filled: contains the data of the measurements of soil respiration, temperature and moisture conducted on the field at each sampling date. The gaps on this databased were filled using data imputation.- Dacal_et_al_field_respiration_original: contains the data of the measurements of soil respiration, temperature and moisture conducted on the field at each sampling date. These is the original data with gaps of missing data.<br>-Dacal_et_al_soil_moisture_continuous: contains the monthly mean of soil moisture measured continuously during both sampling periods.-Dacal_et_al_Q10_Cov_filled: shows the data of the temperature sensitivity and the percentage of biocrust cover measured once for both the short- and the longer-term. The gaps on this databased were filled using data imputation.-Dacal_et_al_Q10_Cov_original: shows the data of the temperature sensitivity and the percentage of biocrust cover measured once for both the short- and the long-term. These is the original data with gaps of missing data.<br>-Dacal_et_al_RR: contains the response ratios data (RR) calculated as explained in the material and methods-Dacal_et_al_Thermal_Acclimation: shows the data of soil respiration of the laboratory incubations conducted at 10, 20, 30 and 40ºC with soils colected after nine years of the experiment set-up (longer-term).In all the databases there are two spreadsheets. The spreadsheet "DATA" contains the raw data . The spreadsheet "METADATA" contains the associated metadata, where a description of all the variables and units can be found. All the methodological details can be found in the article.
DOI: 10.6084/m9.figshare.14446730.v3
title: Additional file of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development
DOI: 10.6084/m9.figshare.14446730.v2
title: Additional file of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development
DOI: 10.6084/m9.figshare.12875322
title: Additional file 11 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 11:Gene ontology for T-DMRs in adult. (XLS 24 KB)
DOI: 10.6084/m9.figshare.12875322.v1
title: Additional file 11 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 11:Gene ontology for T-DMRs in adult. (XLS 24 KB)
DOI: 10.6084/m9.figshare.14446730.v16
title: Additional file of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development
DOI: 10.6084/m9.figshare.12875325
title: Additional file 12 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 12:Gene ontology for DS-DMRs subjected to methylation or demethylation in adult. (XLS 26 KB)
DOI: 10.6084/m9.figshare.12875325.v1
title: Additional file 12 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 12:Gene ontology for DS-DMRs subjected to methylation or demethylation in adult. (XLS 26 KB)
DOI: 10.6084/m9.figshare.12875328.v1
title: Additional file 13 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 13:A list of Sequenom MassARRAY primers used for Validation. (XLS 36 KB)
DOI: 10.6084/m9.figshare.12875328
title: Additional file 13 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 13:A list of Sequenom MassARRAY primers used for Validation. (XLS 36 KB)
DOI: 10.6084/m9.figshare.12875349
title: Additional file 1 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 1:E15 and ES T-DMRs. (XLS 28 KB)
DOI: 10.6084/m9.figshare.12875349.v1
title: Additional file 1 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 1:E15 and ES T-DMRs. (XLS 28 KB)
DOI: 10.6084/m9.figshare.12875358
title: Additional file 3 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 3:T-DMRs in tiling regions. (XLS 27 KB)
DOI: 10.6084/m9.figshare.12875364.v1
title: Additional file 5 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 5:a: Overlaps between different tissues for DS-DMRs with testis excluded; b:Overlaps between tissues for DMRs shared by all developmental stages in a tissue. (XLS 26 KB)
DOI: 10.6084/m9.figshare.12875361
title: Additional file 4 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 4:Pearson Coefficient and common peak number between replicates. (XLS 26 KB)
DOI: 10.6084/m9.figshare.12875364
title: Additional file 5 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 5:a: Overlaps between different tissues for DS-DMRs with testis excluded; b:Overlaps between tissues for DMRs shared by all developmental stages in a tissue. (XLS 26 KB)
DOI: 10.6084/m9.figshare.12875358.v1
title: Additional file 3 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 3:T-DMRs in tiling regions. (XLS 27 KB)
DOI: 10.6084/m9.figshare.12875361.v1
title: Additional file 4 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 4:Pearson Coefficient and common peak number between replicates. (XLS 26 KB)
DOI: 10.6084/m9.figshare.12875370
title: Additional file 7 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 7:Methylation peaks locations in the Hoxa gene cluster. (XLS 24 KB)
DOI: 10.6084/m9.figshare.12875370.v1
title: Additional file 7 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 7:Methylation peaks locations in the Hoxa gene cluster. (XLS 24 KB)
DOI: 10.6084/m9.figshare.14446730.v20
title: Additional file of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development
DOI: 10.6084/m9.figshare.12875376
title: Additional file 9 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 9:Methylation peaks locations in the Protocadherin gene cluster. (XLS 30 KB)
DOI: 10.6084/m9.figshare.12875376.v1
title: Additional file 9 of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file 9:Methylation peaks locations in the Protocadherin gene cluster. (XLS 30 KB)
DOI: 10.6084/m9.figshare.14446730
title: Additional file of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development

description: Additional file of Genome-wide survey reveals dynamic widespread tissue-specific changes in DNA methylation during development
DOI: 10.6084/m9.figshare.14446733.v1
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v2
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v3
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v5
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v6
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v7
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v10
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v9
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v13
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v12
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v14
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v11
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v15
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v16
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v18
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v20
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems
DOI: 10.6084/m9.figshare.14446733.v17
title: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems

description: Additional file of Using RNA-Seq for gene identification, polymorphism detection and transcript profiling in two alfalfa genotypes with divergent cell wall composition in stems