cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10620602
title: Clusters of Compact Intracloud Discharges (CIDs)  in Overshooting Convective Surges

description: E field data.
DOI: 10.5281/zenodo.10620603
title: Clusters of Compact Intracloud Discharges (CIDs)  in Overshooting Convective Surges

description: E field data.
DOI: 10.6084/m9.figshare.14220657.v1
title: Additional file 4 of Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

description: Additional file 4. Supplementary Table S3. Pool 1 off-targets.
DOI: 10.6084/m9.figshare.14220660
title: Additional file 5 of Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

description: Additional file 5. Supplementary Table S4. Pool 2 off-targets.
DOI: 10.3886/icpsr38873.v1
title: How Couples Meet and Stay Together (HCMST) 2017, 2020, 2022, United States
title: Version 1

description: How Couples Meet and Stay Together (HCMST) is a study on how Americans meet their romantic partners. This is a nationally representative study of American adult respondents with no overlap in subjects from the original HCMST survey [ICPSR 30103] which was first fielded in 2009.
description: There are two main purposes of this study: To bring knowledge of how couples meet up-to-date by asking detailed questions about both the timing and the social contexts of how Americans meet their romantic partners.To examine how technology, specifically online dating and cell phone apps like Tinder and Grindr, affect relationship formation, relationship quality, attachment to the idea of monogamy, and relationship stability.
description: A three-wave longitudinal web survey panel used Ipsos KnowldgePanel to administer and collect survey results.
description: This study includes variables regarding: how couples met, when couples met (year and month), how COVID impacted new and current relationships, and general demographics of both the respondent and their partner.
description: Self-identified LGB adults were oversampled in HCMST 2017, and therefore remain oversampled in subsequent waves (2020, 2022). the weights (<b>W1_WEIGHT_COMBO</b>, <b>W2_COMBO_WEIGHT</b>, and <b>W3_COMBO_WEIGHT</b>) correct for this oversample.Analytic weights have a mean of 1, and account for LGB oversample and are weighted (by Ipsos) to correspond to Current Population Survey values for gender, age, income, region, race, and ethnicity.Wave 2 and wave 3 have attribution adjusted weights (<b>W2_ATTRITION_ADJ_WEIGHTS</b>, <b>W3_ATTRITION_ADJ_WEIGHT</b>) which adjust the analytic weights for attrition since wave 1.Wave 1 has a frequency weight (<b>W1_WEIGHT_COMBO_FREQWT</b>) which has a mean value of 69,410. Applying the frequency weight yields a full 2017 US population of adults.
description: Response Rates: Response rate was 3510/6753=52% in 2017, 2107/2431=87% in 2020, and 1722/2073=83% in 2022. The denominators in 2020 and 2022 include only subjects who remained in the KnowledgePanel, as they were the only subjects eligible to be contacted.To account for the response rates of prior inclusion into Ipsos' KnowledgePanel, see Callegaro, Mario, and Charles DiSogra. 2008. "Computing Response Metrics for Online Panes." Public Opinion Quarterly 72(5):1008-1032.
description: The sample size for each study year wave is as follows:2017 Sample Size: 3,510. 2020 Sample Size: 2,107 (<b>W2_SURVEYED</b>). 2022 Sample Size: 1,722 (<b>W3_SURVEYED</b>).
description: Datasets: 
DS1: How Couples Meet and Stay Together (HCMST) 2017, 2020, 2022, United States
description: English literate adults in the US. Smallest Geographic Unit: Region
description: web-based surveyFor additional information on the How Couples Meet and Stay Together (HCMST), United States, 2017, 2020, 2022 Study, please visit the study website via Stanford.
DOI: 10.6084/m9.figshare.14220660.v1
title: Additional file 5 of Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

description: Additional file 5. Supplementary Table S4. Pool 2 off-targets.
DOI: 10.6084/m9.figshare.22609456
title: Additional file 3 of Characterization of a novel AA3_1 xylooligosaccharide dehydrogenase from Thermothelomyces myriococcoides CBS 398.93

description: Additional file 3: Multiple sequence alignment profile for the dehydrogenase domain of AA3_1 proteins.
DOI: 10.6084/m9.figshare.22609483.v1
title: Additional file 3 of A novel machine learning model based on ubiquitin-related gene pairs and clinical features to predict prognosis and treatment effect in colon adenocarcinoma

description: Additional file 3: Table S3. The list of gene pairs and corresponding coefficient.
DOI: 10.6084/m9.figshare.22609276.v1
title: Additional file 1 of Variation in mitogenome structural conformation in wild and cultivated lineages of sorghum corresponds with domestication history and plastome evolution

description: Additional file 1: Supplementary Table 1. Genome contents of plastomes assembled in this study. Supplementary Table 2. The primer designs to confirm the 12 connections of the Type I conformation in IS929. Supplementary Table 3. SNPs in the CDSs of sorghum mitogenomes. Supplementary Table 4. SNPs in the CDSs of sorghum plastomes.
DOI: 10.6084/m9.figshare.22609403.v1
title: Additional file 1 of The gold-ringed octopus (Amphioctopus fangsiao) genome and cerebral single-nucleus transcriptomes provide insights into the evolution of karyotype and neural novelties

description: Additional file 1: Table s1. Statistics of Nanopore Clean Data. Table s2. Statistics of Nanopore Data after correction. Table s3. Comparisons of octopod genomes. Table s4. Gene information of Amphioctopus fangsiao genome. Table s5. Repeat statistics of Amphioctopus fangsiao genomes. Table s6. Comparison of genome size and repeat content in cephalopods. Table s7. Details of cephalopod repeats. Table s8. Repeat content in present study. Table s9. Percentage of cells that derived from two sequencing platforms in each cluster (before combining). Table s10. Cell markers in the octopod supra-brain. Table s11. Marker genes used in present study. Table s12. Counts of protocadherin, GPCR, and C2H2 ZNF genes in each cell cluster. Table s13-18. Average expression of protocadherin, GPCR, C2H2 ZNF genes in each cell cluster.
DOI: 10.5281/zenodo.10631903
title: Fatiando a Terra Data: Caribbean - Single-beam bathymetry

description: This dataset is a compilation of several single-beam bathymetry surveys of the Caribbean ocean displaying a wide range of tectonic activity, uneven distribution, and even clear systematic errors in some of the survey lines.

Note: This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the Fatiando a Terra project. Please cite the original authors when using this dataset.

Changes made: Convert from MGD77 to a simpler compressed CSV format. Retain only the survey ID, coordinates, and depth. Cut the data to a smaller region. Remove some problematic and very large surveys.

Source: NOAA NCEI

Source license: public domain

Repository: https://github.com/fatiando-data/caribbean-bathymetry
DOI: 10.5281/zenodo.5882210
title: Fatiando a Terra Data: Caribbean - Single-beam bathymetry

description: This dataset is a compilation of several single-beam bathymetry surveys of the Caribbean ocean displaying a wide range of tectonic activity, uneven distribution, and even clear systematic errors in some of the survey lines.

Note: This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the Fatiando a Terra project. Please cite the original authors when using this dataset.

Changes made: Convert from MGD77 to a simpler compressed CSV format. Retain only the survey ID, coordinates, and depth. Cut the data to a smaller region. Remove some problematic and very large surveys.

Source: NOAA NCEI

Source license: public domain

Repository: https://github.com/fatiando-data/caribbean-bathymetry
DOI: 10.5281/zenodo.5882211
title: Fatiando a Terra Data: Caribbean - Single-beam bathymetry

description: This dataset is a compilation of several single-beam bathymetry surveys of the Caribbean ocean displaying a wide range of tectonic activity, uneven distribution, and even clear systematic errors in some of the survey lines. <strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the Fatiando a Terra project. Please <strong>cite the original authors</strong> when using this dataset. <strong>Changes made: </strong>Convert from MGD77 to a simpler compressed CSV format. Retain only the survey ID, coordinates, and depth. Cut the data to a slightly smaller region. <strong>Source: </strong>NOAA NCEI <strong>Source license: </strong>public domain <strong>Repository:</strong> https://github.com/fatiando-data/caribbean-bathymetry
DOI: 10.6084/m9.figshare.22609456.v1
title: Additional file 3 of Characterization of a novel AA3_1 xylooligosaccharide dehydrogenase from Thermothelomyces myriococcoides CBS 398.93

description: Additional file 3: Multiple sequence alignment profile for the dehydrogenase domain of AA3_1 proteins.
DOI: 10.6084/m9.figshare.22609625
title: Additional file 1 of Lysyl hydroxylase LH1 promotes confined migration and metastasis of cancer cells by stabilizing Septin2 to enhance actin network

description: Additional file 1: Supplementary Table 1. The top 30 un-regulated proteins in HCC tissues.
DOI: 10.5281/zenodo.10631949
title: sjafari2/K8sKafkaPipeline: K8s-Kafka-DataStreaming-Pipeline

description: This is the initial public release for a funded project by NFS which developes the Kafka Pipeline orchestrated in Kubernetes to run a data streamiong in a real-time fashion.
DOI: 10.5281/zenodo.10631950
title: sjafari2/K8sKafkaPipeline: K8s-Kafka-DataStreaming-Pipeline

description: This is the initial public release for a funded project by NFS which developes the Kafka Pipeline orchestrated in Kubernetes to run a data streamiong in a real-time fashion.
DOI: 10.5281/zenodo.10015915
title: Data and code associated with "Evaluating the definition and distribution of spring ephemeral wildflowers in eastern North America"

description: Data and code associated with a paper by Yancy et al titled "Evaluating the definition and distribution of spring ephemeral wildflowers in eastern North America". Metadata is included in files when possible.
DOI: 10.5281/zenodo.10015914
title: Data and code associated with "Evaluating the definition and distribution of spring ephemeral wildflowers in eastern North America"

description: Data and code associated with a paper by Yancy et al titled "Evaluating the definition and distribution of spring ephemeral wildflowers in eastern North America". Metadata is included in files when possible.
DOI: 10.5281/zenodo.10631966
title: Data and code associated with "Evaluating the definition and distribution of spring ephemeral wildflowers in eastern North America"

description: Data and code associated with a paper by Yancy et al titled "Evaluating the definition and distribution of spring ephemeral wildflowers in eastern North America". Metadata is included in files when possible.
DOI: 10.6084/m9.figshare.22609450.v1
title: Additional file 1 of Characterization of a novel AA3_1 xylooligosaccharide dehydrogenase from Thermothelomyces myriococcoides CBS 398.93

description: Additional file 1: Details of the characterized AA3_1 proteins in CAZy database.
DOI: 10.6084/m9.figshare.22609403
title: Additional file 1 of The gold-ringed octopus (Amphioctopus fangsiao) genome and cerebral single-nucleus transcriptomes provide insights into the evolution of karyotype and neural novelties

description: Additional file 1: Table s1. Statistics of Nanopore Clean Data. Table s2. Statistics of Nanopore Data after correction. Table s3. Comparisons of octopod genomes. Table s4. Gene information of Amphioctopus fangsiao genome. Table s5. Repeat statistics of Amphioctopus fangsiao genomes. Table s6. Comparison of genome size and repeat content in cephalopods. Table s7. Details of cephalopod repeats. Table s8. Repeat content in present study. Table s9. Percentage of cells that derived from two sequencing platforms in each cluster (before combining). Table s10. Cell markers in the octopod supra-brain. Table s11. Marker genes used in present study. Table s12. Counts of protocadherin, GPCR, and C2H2 ZNF genes in each cell cluster. Table s13-18. Average expression of protocadherin, GPCR, C2H2 ZNF genes in each cell cluster.
DOI: 10.6084/m9.figshare.23658090.v1
title: Additional file 2 of Genetic dissection of maize (Zea mays L.) chlorophyll content using multi-locus genome-wide association studies

description: Additional File 2: Table S1. Variance in the chlorophyll content (SPAD value) in three environments (HB, YY, and YC). Table S2. Candidate genes detected by the six GWAS models. Table S3. Results of the GO and KEGG analyses of key candidate genes. Table S4. Summary of the variance in heritability. Table S5. Expression patterns of key candidate genes in different tissues. Table S6. Comparison of the haplotypes of key candidate genes in terms of the chlorophyll content (CC) of 290 inbred lines. Table S7. Phenotypic data of CC (SPAD values).
DOI: 10.5281/zenodo.10631085
title: Remote sensing Images for Road networks

description: This dataset has been used in the work: "Statistical Evaluation and Analysis of Road Extraction Methodologies Using a Unique Dataset from Remote Sensing" with this open access link: https://doi.org/10.3390/RS10040620
DOI: 10.5281/zenodo.10631086
title: Remote sensing Images for Road networks

description: This dataset has been used in the work: "Statistical Evaluation and Analysis of Road Extraction Methodologies Using a Unique Dataset from Remote Sensing" with this open access link: https://doi.org/10.3390/RS10040620
DOI: 10.5281/zenodo.10278170
title: A protein transition can free up land to tap vast energy and negative emission potentials

description: The following data and code provide supplementary information for the paper entitled “A protein transition can free up land to tap vast energy and negative emission potentials.” 

 

Data

The data files include the results shown in the manuscript figures using the same units.

data_fig1.csv

data_fig2a.tif

data_fig2bc.csv

data_fig3a-d.csv

data_fig3e-h.csv

data_fig4ab.csv: 4b is the result of two separate scenarios modelled, “cropland” and “cropland + pastureland.” Therefore, the areas are approximate cumulative values in the order shown in the figure, and “cropland” may have higher values than “cropland + pastureland” in some cases.

data_fig4c.csv

data_fig5.csv

data_fig6.csv

 

Code

run_all.R: Main script. It includes the commands to call other scripts in the right sequence.

Inputs.R: Reads the main input files. It harmonizes various datasets to enable operations among them. It includes some calculations to adjust or combine datasets before doing the main calculations to estimate BECCS potential in another script.  

Inputs2.R: Similar to Inputs.R but used in loops to avoid re-creating intermediate results previously created by Inputs.R.

Stocks.R: Estimates carbon stocks for different land-use types at different points in time.

BECCS.R: Main analysis to estimate BECCS energy and negative emissions.

Priorities_a_ag.R: Optimizes BECCS potential at different alternative protein adoption levels and creates summaries with the main results for each case.

Source-sink_match-BECCS.R: Integrates CO2 source and storage estimates and calculates their optimal allocation.

Plots_source.R: Prepares results for the figures and defines the main parameters of most figures.

Plots_beccs_main.R: Makes figures for manuscript and exports data.

Plots_beccs_supplementary.R: Makes figures for supplementary information.

 

Further calculations have been done manually, for example, in GIS software.
DOI: 10.5281/zenodo.10278171
title: A protein transition can free up land to tap vast energy and negative emission potentials

description: The following data and code provide supplementary information for the paper entitled “A protein transition can free up land to tap vast energy and negative emission potentials.” 

 

Data

The data files include the results shown in the manuscript figures using the same units.

data_fig1.csv

data_fig2a.tif

data_fig2bc.csv

data_fig3a-d.csv

data_fig3e-h.csv

data_fig4ab.csv: 4b is the result of two separate scenarios modelled, “cropland” and “cropland + pastureland.” Therefore, the areas are approximate cumulative values in the order shown in the figure, and “cropland” may have higher values than “cropland + pastureland” in some cases.

data_fig4c.csv

data_fig5.csv

data_fig6.csv

 

Code

run_all.R: Main script. It includes the commands to call other scripts in the right sequence.

Inputs.R: Reads the main input files. It harmonizes various datasets to enable operations among them. It includes some calculations to adjust or combine datasets before doing the main calculations to estimate BECCS potential in another script.  

Inputs2.R: Similar to Inputs.R but used in loops to avoid re-creating intermediate results previously created by Inputs.R.

Stocks.R: Estimates carbon stocks for different land-use types at different points in time.

BECCS.R: Main analysis to estimate BECCS energy and negative emissions.

Priorities_a_ag.R: Optimizes BECCS potential at different alternative protein adoption levels and creates summaries with the main results for each case.

Source-sink_match-BECCS.R: Integrates CO2 source and storage estimates and calculates their optimal allocation.

Plots_source.R: Prepares results for the figures and defines the main parameters of most figures.

Plots_beccs_main.R: Makes figures for manuscript and exports data.

Plots_beccs_supplementary.R: Makes figures for supplementary information.

 

Further calculations have been done manually, for example, in GIS software.
DOI: 10.6084/m9.figshare.14220992
title: Additional file 5 of Single-cell morphological characterization of CRH neurons throughout the whole mouse brain

description: Additional file 5. Excel file for the individual data values used in the Figs. 1 and 3 and the information of all antibodies used.
DOI: 10.6084/m9.figshare.22609412.v1
title: Additional file 3 of The gold-ringed octopus (Amphioctopus fangsiao) genome and cerebral single-nucleus transcriptomes provide insights into the evolution of karyotype and neural novelties

description: Additional file 3: Command line scripts used in present study. Script 1–phylogenetic and chromosomal analyses. Script 2–Chromosome evolution. Script 3–Gene family analyses. Script 4–Single cell analyses.
DOI: 10.6084/m9.figshare.22609715.v1
title: Additional file 4 of The collateral activity of RfxCas13d can induce lethality in a RfxCas13d knock-in mouse model

description: Additional file 4: Table S3. Transcriptome profiles of N2a cells transfected of RfxCas13d/dRfxCas13d with or without crRNA, and DEGs identified through comparisons (Linked to Additional file 1: Fig. S12).
DOI: 10.6084/m9.figshare.23658132
title: Additional file 1 of Microbiota and mycobiota in bronchoalveolar lavage fluid of silicosis patients

description: Additional file 1.
DOI: 10.6084/m9.figshare.23658287
title: Additional file 1 of Exploring right ovary degeneration in duck and goose embryos by histology and transcriptome dynamics analysis

description: Additional file 1: Supplementary Figure S1. Comparison ofthe number of primordial follicles in the left ovary of individuals withdifferent degeneration of the right ovary on the 6th and 12th, 13th days afterposting; Supplementary Figure S2. The top ten Biologicalprocesses, Cellular components, and Molecular function terms enriched by DEGsbetween DE10 vs. DE20 (A), DE20 vs. DP1 (B), GE12 vs. GE22 (C), GE22 vs. GP1(D); Supplementary Figure S3. The top ten KEGG pathways enriched by DEGsbetween DE10 vs. DE20 (A), DE20 vs. DP1 (B), GE12 vs. GE22 (C), GE22 vs. GP1(D); Supplementary Table S1. Overview of sequencing data; Supplementary Table S2. Mapping rate of RNA-Seq data to the goose reference genome; Supplementary Table S3. All DEGs list; Supplementary Table S4. GO and KEGGenrichment analysis results of DEGs. Supplementary Table S5. GO and KEGG enrichment results of duck- and goose-specific DEGs, respectively. Supplementary Table S6. GO and KEGG enrichment results of genes with different profiles in duck. Supplementary Table S7. GO and KEGG enrichment results of geneswith different profiles in goose. Supplementary Table S8. DEGs and theenrichment results of GO and KEGG during the degeneration of chicken rightovary.
DOI: 10.6084/m9.figshare.22609718.v1
title: Additional file 5 of The collateral activity of RfxCas13d can induce lethality in a RfxCas13d knock-in mouse model

description: Additional file 5: Table S4. The sources, sequences and application locations of the plasmids used in this study.
DOI: 10.6084/m9.figshare.23658132.v1
title: Additional file 1 of Microbiota and mycobiota in bronchoalveolar lavage fluid of silicosis patients

description: Additional file 1.
DOI: 10.6084/m9.figshare.23658090
title: Additional file 2 of Genetic dissection of maize (Zea mays L.) chlorophyll content using multi-locus genome-wide association studies

description: Additional File 2: Table S1. Variance in the chlorophyll content (SPAD value) in three environments (HB, YY, and YC). Table S2. Candidate genes detected by the six GWAS models. Table S3. Results of the GO and KEGG analyses of key candidate genes. Table S4. Summary of the variance in heritability. Table S5. Expression patterns of key candidate genes in different tissues. Table S6. Comparison of the haplotypes of key candidate genes in terms of the chlorophyll content (CC) of 290 inbred lines. Table S7. Phenotypic data of CC (SPAD values).
DOI: 10.6084/m9.figshare.22609712.v1
title: Additional file 3 of The collateral activity of RfxCas13d can induce lethality in a RfxCas13d knock-in mouse model

description: Additional file 3: Table S2. Transcriptome profiles of HEK293T-RfxCas13d cells transfected of target gene and crRNA, and 509 common DEGs identified through comparisons (Linked to Fig. 5).
DOI: 10.6084/m9.figshare.14220992.v1
title: Additional file 5 of Single-cell morphological characterization of CRH neurons throughout the whole mouse brain

description: Additional file 5. Excel file for the individual data values used in the Figs. 1 and 3 and the information of all antibodies used.
DOI: 10.5517/ccdc.csd.cct9br5
title: CCDC 753757: Experimental Crystal Structure Determination

description: Related Article: Haritosh Mishra, Rabindranath Mukherjee|2018|J.Indian Chem.Soc.|95|697|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cct9bs6
title: CCDC 753758: Experimental Crystal Structure Determination

description: Related Article: Haritosh Mishra, Rabindranath Mukherjee|2018|J.Indian Chem.Soc.|95|697|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17638/datacat.liverpool.ac.uk/445
title: Detection and crystal structure of hydrogenated bipentacene as an intermediate in thermally-induced pentacene oligomerization.
DOI: 10.5525/gla.researchdata.722
title: Paper-based Microfluidics for DNA Diagnostics of Malaria in Low Resource Under Served Rural Communities

description: This is the raw data for the results presented in the linked manuscript.
DOI: 10.5286/isis.e.rb1820519-1
title: 1820519
DOI: 10.5286/isis.e.rb1820519-2
title: 1820519