cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6669929
title: PRJNA578233 raw variants

description: Sequencing reads were aligned to the Amel_HAv3.1 reference genome using BWA-MEM v0.7.17. Reads were sorted with SAMtools v1.9 and duplicates marked (MarkDuplicates) with GATK v4.0.11.0. Variants for each sample were called using GATK’s HaplotypeCaller with the following non-default parameters --ERC GVCF, --sample-ploidy 1 and -A AlleleFraction. Joint variant calling was performed across all samples collated for AmelHap using GATK’s GenomicDBImport and GenotypeGVCFs with --sample-ploidy 1 and a window size of 10 Mb. This dataset comprises the raw variant calls only for samples belonging to project accession: PRJNA578233.
DOI: 10.5281/zenodo.6669928
title: PRJNA578233 raw variants

description: Sequencing reads were aligned to the Amel_HAv3.1 reference genome using BWA-MEM v0.7.17. Reads were sorted with SAMtools v1.9 and duplicates marked (MarkDuplicates) with GATK v4.0.11.0. Variants for each sample were called using GATK’s HaplotypeCaller with the following non-default parameters --ERC GVCF, --sample-ploidy 1 and -A AlleleFraction. Joint variant calling was performed across all samples collated for AmelHap using GATK’s GenomicDBImport and GenotypeGVCFs with --sample-ploidy 1 and a window size of 10 Mb. This dataset comprises the raw variant calls only for samples belonging to project accession: PRJNA578233.
DOI: 10.5281/zenodo.6669952
title: PRJNA596071 raw variants

description: Sequencing reads were aligned to the Amel_HAv3.1 reference genome using BWA-MEM v0.7.17. Reads were sorted with SAMtools v1.9 and duplicates marked (MarkDuplicates) with GATK v4.0.11.0. Variants for each sample were called using GATK’s HaplotypeCaller with the following non-default parameters --ERC GVCF, --sample-ploidy 1 and -A AlleleFraction. Joint variant calling was performed across all samples collated for AmelHap using GATK’s GenomicDBImport and GenotypeGVCFs with --sample-ploidy 1 and a window size of 10 Mb. This dataset comprises the raw variant calls only for samples belonging to project accession: PRJNA596071.
DOI: 10.5281/zenodo.6669951
title: PRJNA596071 raw variants

description: Sequencing reads were aligned to the Amel_HAv3.1 reference genome using BWA-MEM v0.7.17. Reads were sorted with SAMtools v1.9 and duplicates marked (MarkDuplicates) with GATK v4.0.11.0. Variants for each sample were called using GATK’s HaplotypeCaller with the following non-default parameters --ERC GVCF, --sample-ploidy 1 and -A AlleleFraction. Joint variant calling was performed across all samples collated for AmelHap using GATK’s GenomicDBImport and GenotypeGVCFs with --sample-ploidy 1 and a window size of 10 Mb. This dataset comprises the raw variant calls only for samples belonging to project accession: PRJNA596071.
DOI: 10.6084/m9.figshare.3761562.v2259
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.20151695
title: Mean_interp2.mat

description: Eddy-resolving ocean circulation model data in the East/Japan Sea, including HYCOM, OFES, MRI.COM and NEMO.
DOI: 10.6084/m9.figshare.20151695.v1
title: Mean_interp2.mat

description: Eddy-resolving ocean circulation model data in the East/Japan Sea, including HYCOM, OFES, MRI.COM and NEMO.
DOI: 10.6084/m9.figshare.20151704
title: Untitled Item

description: CREAMS data
DOI: 10.6084/m9.figshare.20151704.v1
title: Untitled Item

description: CREAMS data
DOI: 10.6084/m9.figshare.20151716
title: JMA cruise data

description: JMA cruise data in the East/Japan SEA
DOI: 10.6084/m9.figshare.20151716.v1
title: JMA cruise data

description: JMA cruise data in the East/Japan SEA
DOI: 10.34740/kaggle/dsv/3858457
title: DnD Stats
DOI: 10.6084/m9.figshare.20151725
title: KODC data

description: KODC station data in the East/Japan Sea
DOI: 10.6073/pasta/788e15055fbd64f376b85b96f1ebd511
title: ReFAB 10,000 Year Statistical Estimate of Aboveground Woody Biomass, Midwest US, Level 2

description: How terrestrial biomass changed before the advent of industrial society is a major gap in our understanding of the Earth's carbon cycle. Here, we archive data used to reconstruct 10,000 years of aboveground woody biomass across the US Upper Midwest using statistical models based on historical forest surveys and fossil pollen assemblages. From our analyses we document a 5,000 year long carbon sink into vegetation, primarily caused by the range expansion of two late-successional species into the region during the late Holocene. The importance of such large slow-growing tree species in storing carbon during the pre-industrial past argues for protecting similar species in wild forests today. This material is based upon work supported by the National Science Foundation under grants #DEB-1241874, 1241868, 1241870, 1241851, 1241891, 1241846, 1241856, 1241930.
DOI: 10.6084/m9.figshare.20151731
title: Untitled Item

description: data
DOI: 10.6084/m9.figshare.20151731.v1
title: Untitled Item

description: data
DOI: 10.6084/m9.figshare.20151689
title: Particle Data

description: Data.
DOI: 10.6084/m9.figshare.20151743
title: TABLAS

description: PISCO, Precipitación Diaria Grillada, Análisis Exploratorio de Datos, Valores Atípicos, SWAT. <br>
DOI: 10.6084/m9.figshare.20151743.v1
title: TABLAS

description: PISCO, Precipitación Diaria Grillada, Análisis Exploratorio de Datos, Valores Atípicos, SWAT. <br>
DOI: 10.5281/zenodo.6728047
title: Spanish melon landraces: revealing useful diversity by genomic, morphologic, and metabolomic analysis. Supplementary data.

description: Original data linked to the publication Spanish melon landraces: revealing useful diversity by genomic, morphologic, and metabolomic analysis. It includes, Supp. Table 1: Genomic data; Supp. Table 2: Characterization data; Supp. Table 3: sugar and acids data; Supp Table Supp. Table 4: Voaltile organic compounds data; Supp Table 5: Germplasm details; Supp. table 6: Cromatographic parameters
description: Datasets associated with the manuscript Spanish melon landraces: revealing useful diversity by genomic, morphologic, and metabolomic analysis, submitted to the International Journal of Molecular Sciences Funding: This work was supported by grants PROMETEO/2017/078 and PROME-TEO/2021/072 (to promote excellence groups) funded by Conselleria d'Educació, Investi-gació, Cultura i Esports (Generalitat Valenciana, Spain) and grant AGL2017-85563-C2-1-R-AR funded by AEI 10.13039/501100011033 and by "ERDF A way of making Europe". CPM is recipient of the predoctoral fellowship "Programa de Ayudas de Investigación y Desarrollo (PAID-01-19)" of Universitat Politècnica de València and AFL is a recipient of a predoctoral fellowship from Generalitat Valenciana.
DOI: 10.5281/zenodo.6631310
title: Spanish melon landraces: revealing useful diversity by genomic, morphologic, and metabolomic analysis. Supplementary data.

description: Original data linked to the publication Spanish melon landraces: revealing useful diversity by genomic, morphologic, and metabolomic analysis. It includes, Supp. Table 1: Genomic data; Supp. Table 2: Characterization data; Supp. Table 3: sugar and acids data; Supp Table Supp. Table 4: Voaltile organic compounds data; Supp Table 5: Germplasm details; Supp. table 6: Cromatographic parameters
description: Datasets associated with the manuscript Spanish melon landraces: revealing useful diversity by genomic, morphologic, and metabolomic analysis, submitted to the International Journal of Molecular Sciences Funding: This work was supported by grants PROMETEO/2017/078 and PROME-TEO/2021/072 (to promote excellence groups) funded by Conselleria d'Educació, Investi-gació, Cultura i Esports (Generalitat Valenciana, Spain) and grant AGL2017-85563-C2-1-R-AR funded by AEI 10.13039/501100011033 and by "ERDF A way of making Europe". CPM is recipient of the predoctoral fellowship "Programa de Ayudas de Investigación y Desarrollo (PAID-01-19)" of Universitat Politècnica de València and AFL is a recipient of a predoctoral fellowship from Generalitat Valenciana.
DOI: 10.5281/zenodo.6728109
title: ICB_Rizvi15

description: ICB_Rizvi15 data object generated by ORCESTRA.
DOI: 10.5281/zenodo.6728108
title: ICB_Rizvi15

description: ICB_Rizvi15 data object generated by ORCESTRA.
DOI: 10.5281/zenodo.6728117
title: ICB_Rizvi18

description: ICB_Rizvi18 data object generated by ORCESTRA.
DOI: 10.5281/zenodo.6728116
title: ICB_Rizvi18

description: ICB_Rizvi18 data object generated by ORCESTRA.
DOI: 10.6084/m9.figshare.20147192.v1
title: PISCO_SWAT_RAMIS_CentenoJaritaTomasG

description: Metadatos
DOI: 10.6084/m9.figshare.16892893
title: Genome architecture used to supplement species delineation in two cryptic marine ciliates (study on congeneric tintinnid ciliates Schmidingerella arcuata and Schmidingerella meunieri (published as Smith et al. 2022 in Molecular Ecology Resources)

description: <em>These data are associated with the following publication:</em> <br> <strong>Genome architecture used to supplement species delineation in two cryptic marine ciliates</strong> <br> Susan A. Smith, Luciana F. Santoferrara, Laura A. Katz, George B. McManus <br> <em>Molecular Ecology Resources</em> <em>2022</em> <br> Article DOI: 10.1111/1755-0998.13664 <br> <br> For clarification regarding these data, included is a table listing the GenBank accession numbers attributed to these files on NCBI: <em>Accessions_Schmid_Smith_et_al_2022.docx</em> <br> <br> <br> <strong>Included here:</strong> <br> For both <em>Schmidingerella arcuata </em>and <em>Schmidingerella meunieri:</em> <br> -micronuclear genome (MIC) assembly -macronuclear transcriptome (MAC) assembly -rDNA sequences (SSU, LSU, ITS) used for initial barcode data -sequences used for isolate-specific primer analysis from Table S2 <br> -Word Doc with Supplementary Information: <em>Table S1. </em>Micronuclear pattern details <em>Table S2.</em> Isolate-specific primer details <em>File S3.</em> Micronuclear pattern sequences used for Figure 8 (fully annotated) <br> <br> Data Availability Statement copied directly from Smith et al 2022: <br> This project has been deposited at NCBI under the Bioproject IDs: PRJNA829814 (<em>S. arcuata</em>) and PRJNA828278 (<em>S. meunieri</em>). The MIC and MAC data can be found under the GenBank accession nos. JAMFLK000000000 (MIC genome), GISN00000000 (MAC transcriptome), SRR11933493 (MIC raw reads) and SRR18847964 (MAC raw reads) for <em>S. arcuata</em>; and JAMFLJ000000000 (MIC genome), GJXX00000000 (MAC transcriptome), SRR19268018 (MIC raw reads) and SRR18847682 (MAC raw reads) for <em>S. meunieri</em>. Barcode sequences (rRNA) were deposited in GenBank under the accession nos. ON430520 (SSU), ON430522 (LSU) and ON430517 (ITS) for <em>S. arcuata</em>. For <em>S. meunieri</em>, rRNA gene barcode sequences are deposited under the accession nos. ON430519 (SSU), ON430521 (LSU) and ON428215 (ITS). Isolate‐specific primers and sequences are available on GenBank under the accession nos. ON677305, ON677306, ON677307 and ON677308. These data and a file containing the sequences from Figure 8 are also available on FigShare at <sub>https://doi.org/10.6084/m9.figshare.16892893</sub> (Smith et al., 2022a, 2022b, 2022c). <br> <br> <br> <br> <br>
DOI: 10.5281/zenodo.6728152
title: Falco rufigularis decontaminated gx

description: .
DOI: 10.5281/zenodo.6728151
title: Falco rufigularis decontaminated gx

description: .
DOI: 10.3886/e173482
title: Mental Rotation Data

description: Data files associated with the manuscript "Rhesus monkeys manipulate mental images" by Hassett, Lord, and Hampton.<b></b>
DOI: 10.3886/e173482v1
title: Mental Rotation Data

description: Data files associated with the manuscript "Rhesus monkeys manipulate mental images" by Hassett, Lord, and Hampton.<b></b>
DOI: 10.34943/ec24d6e3-a275-4ed8-aeac-353b2be45560
title: Barkley Canyon Video Camera Deployed 2022-05-20

description: The Axis P1378 Camera SN B8A44F04DEEA was deployed on 2022-05-20 at Barkley Canyon. Barkley Canyon is a submarine canyon located on the continental shelf and slope break. Features include exposed gas hydrates and their associated ecosystems. Accumulation and movement of sediment, upwelling, and plankton blooms are studied in this area. This device is a Video Camera. Video cameras record video of characteristics of the surrounding environments and can be deployed on fixed and mobile platforms. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.19115654
title: Wood feeding and social living: draft genome of the subterranean termite Reticulitermes lucifugus (Blattodea; Termitoidae).

description: Dataset from "Wood feeding and social living: draft genome of the subterranean termite Reticulitermes lucifugus (Blattodea; Termitoidae)."<br>
DOI: 10.6084/m9.figshare.20151791.v1
title: Supplemental files

description: Supplemental files of the manuscript entitled "Exploring online oral health misinformation: a content analysis" <br>
DOI: 10.6084/m9.figshare.20151791
title: Supplemental files

description: Supplemental files of the manuscript entitled "Exploring online oral health misinformation: a content analysis" <br>
DOI: 10.6084/m9.figshare.19115654.v1
title: Wood feeding and social living: draft genome of the subterranean termite Reticulitermes lucifugus (Blattodea; Termitoidae).

description: Dataset from "Wood feeding and social living: draft genome of the subterranean termite Reticulitermes lucifugus (Blattodea; Termitoidae)."<br>
DOI: 10.5281/zenodo.6728270
title: Aftershock regions of Aleutian–Alaska megathrust earthquakes: digital files

description: These files support a published manuscript entitled "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938-2021," by Carl Tape and Anthony Lomax. A subset of these files is also available within the online supplement of the published manuscript. This research was supported by the U.S. Geological Survey (USGS), Department of the Interior, under USGS award number G19AP00050.
DOI: 10.5281/zenodo.6415340
title: Aftershock regions of Aleutian–Alaska megathrust earthquakes: digital files

description: These files support a published manuscript entitled "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938-2021," by Carl Tape and Anthony Lomax. A subset of these files is also available within the online supplement of the published manuscript. This research was supported by the U.S. Geological Survey (USGS), Department of the Interior, under USGS award number G19AP00050.
DOI: 10.5281/zenodo.6677158
title: Estimating the transfer rates of bacterial plasmids with an adapted Luria–Delbrück fluctuation analysis

description: This repository accompanies the publication of <strong><em>Estimating the rate of plasmid transfer with an adapted Luria–Delbrück fluctuation analysis</em></strong> by Kosterlitz et. al. to provide a consolidated and accessible way of viewing the source data, figures, and custom programs.
DOI: 10.5281/zenodo.6677157
title: Estimating the transfer rates of bacterial plasmids with an adapted Luria–Delbrück fluctuation analysis

description: This repository accompanies the publication of <strong><em>Estimating the rate of plasmid transfer with an adapted Luria–Delbrück fluctuation analysis</em></strong> by Kosterlitz et. al. to provide a consolidated and accessible way of viewing the source data, figures, and custom programs.
DOI: 10.5281/zenodo.6727786
title: Practitioners' Experiences with Model-Driven Engineering: A Meta-Review

description: These files contain the data used for the selection of publications for the meta-review, and the summarized findings from the selected papers.
DOI: 10.5281/zenodo.6727785
title: Practitioners' Experiences with Model-Driven Engineering: A Meta-Review

description: These files contain the data used for the selection of publications for the meta-review, and the summarized findings from the selected papers.
DOI: 10.5281/zenodo.6725692
title: PNS-Cyst

description: Data collected by the PheNeSens (Phenotyping of Nematodes with Sensors) project. The images recorded cysts of sugar beet nematode, together with organic debris from the soil sample, left after the soil processing. All cysts are manually outlined by experts and saved as indexed-PNG images. We used the annotations to train deep neural networks for automatic cyst segmentation in the PheNeSens project. For details of the data collection and deep learning model training, refer to our paper:
DOI: 10.5281/zenodo.6653152
title: Leveraging Serverless Computing for Continuous Integration and Delivery

description: This work has been a first implementation of the usage of AWS Lambda for running CI/CD tasks. This has been implemented in TeamCity, a CI/CD tool by JetBrains. We investigated the possible solutions for using AWS Lambda for running CI/CD tasks, but also did a depth analysis on how it compares to Amazon ECS for running CI/CD tasks. We were able to understand that there are CI/CD tasks that can be optimised by making use of FaaS. These tasks must be able to be executed in under 15 minutes (or be splittable into 15 minutes tasks), and would benefit more if they're either a high throughput of tasks in a small period of time, or very little executions over time. These tasks will benefit from both a higher performance and cost efficiency. This package includes: TeamCity Backup - backup with all of the CI/CD configurations used for these experiments. It is important to mention that the replication of these experiments does require a license for TeamCity and to apply a new connection to AWS; Tasks Performance tests - all of the results obtained during the experiments led to our conclusions.
DOI: 10.5281/zenodo.6653151
title: Leveraging Serverless Computing for Continuous Integration and Delivery

description: This work has been a first implementation of the usage of AWS Lambda for running CI/CD tasks. This has been implemented in TeamCity, a CI/CD tool by JetBrains. We investigated the possible solutions for using AWS Lambda for running CI/CD tasks, but also did a depth analysis on how it compares to Amazon ECS for running CI/CD tasks. We were able to understand that there are CI/CD tasks that can be optimised by making use of FaaS. These tasks must be able to be executed in under 15 minutes (or be splittable into 15 minutes tasks), and would benefit more if they're either a high throughput of tasks in a small period of time, or very little executions over time. These tasks will benefit from both a higher performance and cost efficiency. This package includes: TeamCity Backup - backup with all of the CI/CD configurations used for these experiments. It is important to mention that the replication of these experiments does require a license for TeamCity and to apply a new connection to AWS; Tasks Performance tests - all of the results obtained during the experiments led to our conclusions.
DOI: 10.5683/sp2/lcfrkt
title: #IdleNoMore Tweets 2013

description: The dataset comprises tweets with at least one hashtag #IdleNoMore that appeared on Twitter’s public timeline from January to July of 2013. The dataset includes the following: the date and time of the tweet, the author of the tweet, the geographical location of the author when the tweet was posted (when available), the content of the tweet, the language of the tweet, the source of the tweet, the hashtags (other than #IdleNoMore) present in the tweet, and the hyperlink imbedded in the tweet. This dataset should be used in conjunction with “INM Mobilization Tweet Coding Rubric” in order to code for the following elements: 1) the structure of the tweet, 2) the function of the tweet, and 3) the mobilization objectives of the tweet.
DOI: 10.5281/zenodo.6728336
title: Hippopotamyrus longilateralis decontaminated gx

description: .
DOI: 10.5281/zenodo.6728335
title: Hippopotamyrus longilateralis decontaminated gx

description: .
DOI: 10.14272/fihiluswiskvsr-uhfffaoysa-n.2
title: 3,6-dibromo-9H-carbazole
title: InChI=1S/C12H7Br2N/c13-7-1-3-11-9(5-7)10-6-8(14)2-4-12(10)15-11/h1-6,15H

description: This dataset contains experimental data from a sample (3,6-dibromo-9H-carbazole, InChI=1S/C12H7Br2N/c13-7-1-3-11-9(5-7)10-6-8(14)2-4-12(10)15-11/h1-6,15H). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) infrared absorption spectroscopy (IR) distortionless enhancement with polarization transfer (DEPT) distortionless enhancement with polarization transfer (DEPT) mass spectrometry (MS)
DOI: 10.14272/fihiluswiskvsr-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (3,6-dibromo-9H-carbazole)
title: InChI=1S/C12H7Br2N/c13-7-1-3-11-9(5-7)10-6-8(14)2-4-12(10)15-11/h1-6,15H

description: dataset for mass spectrometry (MS) MS (EI, 70 eV, 90 °C), m/z (%): 327/325/323 (52/100/54) [M]+, 326/324 (18/12) [M+H]+, 246 (25), 244 (29), 165 (29), 164 (29), 138 (10).HRMS–EI (m/z): [M]+ calcd for C12H7N179Br2 322.8940; found 322.8939.
DOI: 10.14272/fihiluswiskvsr-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (3,6-dibromo-9H-carbazole)
title: InChI=1S/C12H7Br2N/c13-7-1-3-11-9(5-7)10-6-8(14)2-4-12(10)15-11/h1-6,15H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, DMSO-d6, ppm) δ = 11.60 (s, 1H, NH), 8.43 (d, 4J = 2.0 Hz, 2H, CHar), 7.53 (dd, 3J = 8.6 Hz, 4J = 2.0 Hz, 2H, CHar), 7.47 (d, 3J = 8.6 Hz, 2H, CHar).Impurities (ppm): 5.75 (DCM), 4.01/1.97/1.15 (ethyl acetate), 3.38 (water).
DOI: 10.14272/fihiluswiskvsr-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (3,6-dibromo-9H-carbazole)
title: InChI=1S/C12H7Br2N/c13-7-1-3-11-9(5-7)10-6-8(14)2-4-12(10)15-11/h1-6,15H

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/fihiluswiskvsr-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (3,6-dibromo-9H-carbazole)
title: InChI=1S/C12H7Br2N/c13-7-1-3-11-9(5-7)10-6-8(14)2-4-12(10)15-11/h1-6,15H

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, DMSO-d6, ppm) δ = 138.8 (2C, Cq), 128.7 (2C, CHar), 123.4 (2C, Cq), 123.3 (2C, CHar), 113.1 (2C, CHar), 111.0 (2C, Cq).
DOI: 10.14272/fihiluswiskvsr-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (3,6-dibromo-9H-carbazole)
title: InChI=1S/C12H7Br2N/c13-7-1-3-11-9(5-7)10-6-8(14)2-4-12(10)15-11/h1-6,15H

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 412, 422, 438, 490, 562, 585, 637, 686, 722, 756, 802, 866, 895, 935, 1014, 1052, 1126, 1143, 1188, 1210, 1235, 1239, 1285, 1298, 1322, 1368, 1377, 1429, 1465, 1472, 1562, 1598, 1731, 1867, 3418 cm–1.
DOI: 10.14272/fihiluswiskvsr-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (3,6-dibromo-9H-carbazole)
title: InChI=1S/C12H7Br2N/c13-7-1-3-11-9(5-7)10-6-8(14)2-4-12(10)15-11/h1-6,15H

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.6084/m9.figshare.20147192.v2
title: SHAPEFILE

description: PISCO, Precipitación Diaria Grillada, Análisis Exploratorio de Datos, Valores Atípicos, SWAT.
DOI: 10.6084/m9.figshare.20151824
title: Dataset for: CO2 buildup drove global warming, the Marinoan deglaciation and the genesis of the Ediacaran cap carbonates

description: Figure S1 Tables S1, S2, and S3 Reference
DOI: 10.6084/m9.figshare.20151824.v1
title: Dataset for: CO2 buildup drove global warming, the Marinoan deglaciation and the genesis of the Ediacaran cap carbonates

description: Figure S1 Tables S1, S2, and S3 Reference
DOI: 10.6084/m9.figshare.20147192.v3
title: PISCO_SWAT_Cuenca_CENTENO_JARITA_Tomas_G

description: SWAT outputs simulated from the PISCO Product corresponding to the period 1981-2016.
DOI: 10.6084/m9.figshare.20151827.v1
title: data.xlsx

description: Raw data of the study