cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4r6568xcpw.2
title: More than just hitchhikers: a survey of bacterial communities associated with diatoms originating from sea turtles

description: These data relate to the manuscript Filek et al. 2022 "More than just hitchhikers: a survey of bacterial communities associated with diatoms originating from marine reptiles"  available at BioRxiv 2022.04.19.488760; doi: https://doi.org/10.1101/2022.04.19.488760 
and Filek et al. 2022 "More than just hitchhikers: a survey of bacterial communities associated with diatoms originating from sea turtles"  FEMS Microbiology Ecology, fiac104; doi:10.1093/femsec/fiac104

Abstract:
Diatoms and bacteria are known for being the first colonizers of submerged surfaces including the skin of marine reptiles. Sea turtle carapace and skin harbour diverse prokaryotic and eukaryotic microbes, including several epizoic diatoms. However, the importance of diatom-bacteria associations is hardly investigated in biofilms associated with animal hosts. This study provides an inventory of diatoms, bacteria, and diatom-associated bacteria originating from loggerhead sea turtles using both metabarcoding and culturing approaches. Amplicon sequencing of the carapace and skin samples chloroplast gene rbcL and 16S rRNA gene detected in total 634 diatom amplicon sequence variants (ASVs) and 3,661 bacterial ASVs indicating a high diversity. Cultures of putative epizoic and non-epizoic diatoms contained 458 bacterial ASVs and their bacterial assemblages reflected those of their host. Diatom strains allowed for enrichment and isolation of bacterial families rarely observed on turtles, such as Marinobacteraceae, Alteromonadaceae, and Alcanivoracaceae. When accounting for phylogenetic relationships between bacterial ASVs, we observed related diatom genera might retain similar microbial taxa in culture, regardless of the turtle's skin or carapace source. These data provide deeper insights into the sea turtle-associated microbial communities, and reveal the potential of epizoic biofilms as a source of novel microbes and possibly important diatom-bacteria associations.
DOI: 10.5281/zenodo.7129816
title: Optional data for R-package from publication: "fsbrain: an R package for the visualization of structural neuroimaging data"

description: This is the optional data that be downloaded from within the R packages 'freesurferformats' and 'fsbrain'. See publication: https://doi.org/10.1101/2020.09.18.302935 Due to CRAN limits, this data cannot be stored in the package. The author therefore stores this on a private server, which is not optimal. This uploads serves as a backup and an alternate way to access the data, e.g., for future maintainers of the software. Note that the files in directories 'subjects_dir/fsaverage' and 'subjects_dir/fsaverage3' are part of FreeSurfer6 and distributed under the FreeSurfer license.
DOI: 10.5281/zenodo.7129815
title: Optional data for R-package from publication: "fsbrain: an R package for the visualization of structural neuroimaging data"

description: This is the optional data that be downloaded from within the R packages 'freesurferformats' and 'fsbrain'. See publication: https://doi.org/10.1101/2020.09.18.302935 Due to CRAN limits, this data cannot be stored in the package. The author therefore stores this on a private server, which is not optimal. This uploads serves as a backup and an alternate way to access the data, e.g., for future maintainers of the software. Note that the files in directories 'subjects_dir/fsaverage' and 'subjects_dir/fsaverage3' are part of FreeSurfer6 and distributed under the FreeSurfer license.
DOI: 10.5517/ccdc.csd.cc202cr7
title: CCDC 1849328: Experimental Crystal Structure Determination

description: Related Article: Arijit Mallick, Bilal Ahmed, Osama Shekhah, Husam N. Alshareef, Mohamed Eddaoudi|2021|U.S.Patents|||
description: Related Article: Arijit Mallick, Hanfeng Liang, Osama Shekhah, Jiangtao Jia, Georges Mouchaham, Aleksander Shkurenko, Youssef Belmabkhout, Husam N. Alshareef, Mohamed Eddaoudi|2020|Chem.Commun.|56|1883|doi:10.1039/C9CC08860A
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.cc2783xk
title: CCDC 2063388: Experimental Crystal Structure Determination

description: Related Article: Katarzyna Jastrzębska, Anna Maciaszek, Rafał Dolot, Agnieszka Tomaszewska-Antczak, Barbara Mikołajczyk, Piotr Guga|2022|RSC Advances|12|26815|doi:10.1039/D2RA04855H
description: Related Article: K. Jastrzebska, A. Maciaszek, R. Dolot, A. Tomaszewska-Antczak, P. Guga|2021|CSD Communication|||
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: 10.17632/95vgh7k4yk.1
title: When nature calls back: Sustaining behavioral change in rural Pakistan

description: In this replication package we include all relevant data and Stata code to replicate the article "When nature calls back: Sustaining behavioral change in rural Pakistan" published at the Journal of Development Economics, Volume 158, September 2022, 102933.
DOI: 10.6084/m9.figshare.21253617
title: Bibliometric analysis data

description: Bibliometrics data for space syntax research
DOI: 10.6084/m9.figshare.21253617.v1
title: Bibliometric analysis data

description: Bibliometrics data for space syntax research
DOI: 10.6084/m9.figshare.20525630
title: Biochemical recurrence after radical prostatectomy – a large, comprehensive, population-based study with long follow-up

description: We evaluated long-term risk for biochemical recurrence and subsequent prognosis in a population-based cohort. We used register-based data to evaluate 6 675 consecutive patients having radical prostatectomy in Västra Götaland county in Sweden during 1995–2014. Patients were followed until death or end of study, 31 December 2014. Data were collected from registers on national, regional and local level and linked by means of the Swedish personal identity number. Biochemical recurrence was defined as PSA ≥0.2 ng/ml; failure as hormonal treatment, metastasis or prostate cancer death. Survival analysis was used to estimate time to biochemical recurrence and time to failure after biochemical recurrence for patients with 0 − 2 years, 2–5 years, 5–10 years and &gt;10 years interval to biochemical recurrence, respectively. A total of 1214 men had biochemical recurrence during follow-up. Biochemical recurrence-free survival was 83% (95% confidence interval [CI] 82–84%), 75% (95% CI 74–77%) and 69% (95% CI 67–71%) at 5, 10 and 15 years, respectively. Cumulative incidence of failure for all patients 15 years after biochemical recurrence was 50% (95% CI 43–55%) in competing risk analysis. The risk of failure after biochemical recurrence was highest among patients having biochemical recurrence within 2 years from surgery. Incomplete data on PSA-history is a limitation. The risk for biochemical recurrence persists 15 years after surgery. Follow-up should continue as long as treatment would be considered in case of recurrent disease.
DOI: 10.6084/m9.figshare.20525630.v1
title: Biochemical recurrence after radical prostatectomy – a large, comprehensive, population-based study with long follow-up

description: We evaluated long-term risk for biochemical recurrence and subsequent prognosis in a population-based cohort. We used register-based data to evaluate 6 675 consecutive patients having radical prostatectomy in Västra Götaland county in Sweden during 1995–2014. Patients were followed until death or end of study, 31 December 2014. Data were collected from registers on national, regional and local level and linked by means of the Swedish personal identity number. Biochemical recurrence was defined as PSA ≥0.2 ng/ml; failure as hormonal treatment, metastasis or prostate cancer death. Survival analysis was used to estimate time to biochemical recurrence and time to failure after biochemical recurrence for patients with 0 − 2 years, 2–5 years, 5–10 years and &gt;10 years interval to biochemical recurrence, respectively. A total of 1214 men had biochemical recurrence during follow-up. Biochemical recurrence-free survival was 83% (95% confidence interval [CI] 82–84%), 75% (95% CI 74–77%) and 69% (95% CI 67–71%) at 5, 10 and 15 years, respectively. Cumulative incidence of failure for all patients 15 years after biochemical recurrence was 50% (95% CI 43–55%) in competing risk analysis. The risk of failure after biochemical recurrence was highest among patients having biochemical recurrence within 2 years from surgery. Incomplete data on PSA-history is a limitation. The risk for biochemical recurrence persists 15 years after surgery. Follow-up should continue as long as treatment would be considered in case of recurrent disease.
DOI: 10.5281/zenodo.7129889
title: Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa

description: In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29 355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P &lt; 1.7 × 10−6). Markers were found across 19 chromosomes, explained 1–13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not.
DOI: 10.5281/zenodo.7129888
title: Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa

description: In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29 355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P &lt; 1.7 × 10−6). Markers were found across 19 chromosomes, explained 1–13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not.
DOI: 10.5281/zenodo.7129891
title: Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa

description: In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29 355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P &lt; 1.7 × 10−6). Markers were found across 19 chromosomes, explained 1–13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not.
DOI: 10.5281/zenodo.7129890
title: Genome-wide association implicates numerous genes underlying ecological trait variation in natural populations of Populus trichocarpa

description: In order to uncover the genetic basis of phenotypic trait variation, we used 448 unrelated wild accessions of black cottonwood (Populus trichocarpa) from much of its range in western North America. Extensive data from large-scale trait phenotyping (with spatial and temporal replications within a common garden) and genotyping (with a 34 K Populus single nucleotide polymorphism (SNP) array) of all accessions were used for gene discovery in a genome-wide association study (GWAS). We performed GWAS with 40 biomass, ecophysiology and phenology traits and 29 355 filtered SNPs representing 3518 genes. The association analyses were carried out using a Unified Mixed Model accounting for population structure effects among accessions. We uncovered 410 significant SNPs using a Bonferroni-corrected threshold (P &lt; 1.7 × 10−6). Markers were found across 19 chromosomes, explained 1–13% of trait variation, and implicated 275 unique genes in trait associations. Phenology had the largest number of associated genes (240 genes), followed by biomass (53 genes) and ecophysiology traits (25 genes). The GWAS results propose numerous loci for further investigation. Many traits had significant associations with multiple genes, underscoring their genetic complexity. Genes were also identified with multiple trait associations within and/or across trait categories. In some cases, traits were genetically correlated while in others they were not.
DOI: 10.5281/zenodo.6772545
title: ICESat-2 Arctic Sea Ice Surface Topography from the University of Maryland-Ridge Detection Algorithm: April 2019, 2020, and 2021

description: This dataset is derived from the ICESat-2 (IS-2) Global Geolocated Photon Height Product (ATL03) using the University of Maryland-Ridge Detection Algorithm (UMD-RDA). The UMD-RDA is applied to ATL03 on a per-shot basis, nominally resulting in elevation measurements at IS-2's maximum along-track resolution of ~0.7 m. From these elevation measurements, the UMD-RDA can measure various sea ice parameters including, but not limited to, individual ridge crests and their respective sail heights, the distance between ridges, and sea ice surface roughness.
description: This study is supported under NASA Cryosphere Program Grant: 80NSSC20K0966
description: {"references": ["Farrell, S. L., Duncan K., Buckley, E. M., Richter-Menge, J., & Li, R. (2020) Mapping Sea Ice Surface Topography in High Fidelity with ICESat-2. Geophys. Res. Lett., 47, e2020GL090708. doi:10.1029/2020GL090708"]}
DOI: 10.5281/zenodo.7044587
title: ICESat-2 Arctic Sea Ice Surface Topography from the University of Maryland-Ridge Detection Algorithm: April 2019, 2020, and 2021

description: This dataset is derived from the ICESat-2 (IS-2) Global Geolocated Photon Height Product (ATL03) using the University of Maryland-Ridge Detection Algorithm (UMD-RDA). The UMD-RDA is applied to ATL03 on a per-shot basis, nominally resulting in elevation measurements at IS-2's maximum along-track resolution of ~0.7 m. From these elevation measurements, the UMD-RDA can measure various sea ice parameters including, but not limited to, individual ridge crests and their respective sail heights, the distance between ridges, and sea ice surface roughness.
description: This study is supported under NASA Cryosphere Program Grant: 80NSSC20K0966
description: {"references": ["Farrell, S. L., Duncan K., Buckley, E. M., Richter-Menge, J., & Li, R. (2020) Mapping Sea Ice Surface Topography in High Fidelity with ICESat-2. Geophys. Res. Lett., 47, e2020GL090708. doi:10.1029/2020GL090708"]}
DOI: 10.18112/openneuro.ds004283.v1.0.0
title: neuroloki
DOI: 10.34740/kaggle/dsv/4268383
title: Mahanagar Yatayat Dataset
DOI: 10.48366/r219718
title: Relevant work on Supply chain risk management

description: Risk management plays a vital role in effectively operating supply chains in the presence of a variety of uncertainties. This comparison categorize SCRM (Supply Chain Risk Management) research and detailed review associated with research developments in supply chain risk definitions, risk types, risk factors and risk management/mitigation strategies.
DOI: 10.6084/m9.figshare.21253866
title: Saliva assay

description: Saliva samples results
DOI: 10.6084/m9.figshare.21253866.v1
title: Saliva assay

description: Saliva samples results
DOI: 10.25919/6h9g-v853
title: Parkes observations for project P1058 semester 2021OCTS_03

description: We propose to continue the timing campaign of the new millisecond pulsar, J1431-6328, discovered by the Australian SKA Pathfinder (ASKAP). PSR J1431-6328 has a spin period of 2.77 ms and is in a very wide binary system with an orbital period of 88 days. The extremely low mass of the companion and the long orbital period make this binary system unique for the understanding of binary evolution. The stable profile and wide orbit of J1431-6328 also makes it a good candidate for pulsar timing arrays and tests of the strong equivalence principle. Combing one month of high cadence timing with previous regular monitoring, we aim to obtain a coherent timing solution of PSR J1431?6328 and measure its astrometric and orbital parameters with high precision. Results on the timing solution, wide band polarisation properties of this pulsar and studies of the binary system will be published at the end of this semester.
DOI: 10.25919/fdg2-k513
title: Parkes observations for project P595 semester 2022APRS_14

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.5281/zenodo.7115893
title: Maximally predictive states

description: Datasets to reproduce the results from Costa et al. (2022) "Maximally predictive states: from partial observations to long timescales"
DOI: 10.5281/zenodo.7115942
title: Maximally predictive states

description: Datasets to reproduce the results from Costa et al. (2022) "Maximally predictive states: from partial observations to long timescales"
DOI: 10.5281/zenodo.7130012
title: Maximally predictive states

description: Datasets to reproduce the results from Costa et al. (2022) "Maximally predictive states: from partial observations to long timescales"
DOI: 10.6084/m9.figshare.12130980.v152
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.6084/m9.figshare.21253884
title: Practical considerations to establish a validated platform for pooled detection of SARS-CoV-2 by droplet digital PCR

description: Minimal data set experiments
DOI: 10.6084/m9.figshare.21253884.v1
title: Practical considerations to establish a validated platform for pooled detection of SARS-CoV-2 by droplet digital PCR

description: Minimal data set experiments