cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p92ijrev
title: Cottonwood Lake Study Area - Invertebrate Weights (ver. 2.0)

description: This dataset contains macroinvertebrate sampling data (weights) for wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.
DOI: 10.24339/87f60dbe-40e9-4f3e-bcd3-f5d072575431
title: De novo and inherited variants in coding and regulatory regions in genetic cardiomyopathies

description: Background Cardiomyopathies are a leading cause of progressive heart failure and sudden cardiac death; however, their genetic aetiology remains poorly understood. We hypothesised that variants in noncoding regulatory regions and oligogenic inheritance mechanisms may help close the diagnostic gap. Methods We first analysed whole-genome sequencing data of 143 parent-offspring trios from Genomics England 100,000 Genomes Project. We used gene panel testing and a phenotype-based, variant prioritisation framework called Exomiser to identify candidate genes in trios. To assess the contribution of noncoding DNVs to cardiomyopathies, we intersected DNVs with open chromatin sequences from single-cell ATAC-seq data of cardiomyocytes. We also performed a case-control analysis in an exome-negative cohort, including 843 probands and 19,467 controls, to assess the association between noncoding variants in known cardiomyopathy genes and disease. Results In the trio analysis, a definite or probable genetic diagnosis was identified in 21 probands according to the American College of Medical Genetics guidelines. We identified novel DNVs in diagnostic-grade genes (RYR2, TNNT2, PTPN11, MYH7, LZR1, NKX2-5), and five cases harbouring a combination of prioritised variants, suggesting that oligogenic inheritance and genetic modifiers contribute to cardiomyopathies. Phenotype-based ranking of candidate genes identified in noncoding DNV analysis revealed JPH2 as the top candidate. Moreover, a case-control analysis revealed an enrichment of rare noncoding variants in regulatory elements of cardiomyopathy genes (p = .035, OR = 1.43, 95% Cl = 1.095-1.767) versus controls. Of the 25 variants associated with disease (p &lt; .05), 23 are novel and nine are predicted to disrupt transcription factor binding motifs. Conclusion Our results highlight complex genetic mechanisms in cardiomyopathies and reveal novel genes for future investigations.
DOI: 10.3886/e168241v2
title: Frequent mandatory COVID-19 testing may increase risky behavior

description: Mandatory surveillance testing programs are popular policies aimed to control the spread of SARS-Cov-2. However, if those tested believe that testing protects them from COVID-19, such policies could lead to increased risky behavior that undermines the effectiveness of the policy, and may even increase the spread of the virus. Using data from two large U.S. universities with mandatory testing policies, we find that more frequent mandatory testing is associated with higher participation in events particularly prone to cause COVD-19 spread. Women seem to be driving this relationship, and mediation analyses suggest this is partly due to women’s higher perception of health risks from COVID-19. Our results demonstrate the need to examine the existence of adverse effects from pandemic control policies, both on average and across subgroups in the population, such that, when adopting the policies, measures can be taken to mitigate such unintended consequences.
DOI: 10.3886/e168241v2-128560
title: Frequent mandatory COVID-19 testing may increase risky behavior

description: Mandatory surveillance testing programs are popular policies aimed to control the spread of SARS-Cov-2. However, if those tested believe that testing protects them from COVID-19, such policies could lead to increased risky behavior that undermines the effectiveness of the policy, and may even increase the spread of the virus. Using data from two large U.S. universities with mandatory testing policies, we find that more frequent mandatory testing is associated with higher participation in events particularly prone to cause COVD-19 spread. Women seem to be driving this relationship, and mediation analyses suggest this is partly due to women’s higher perception of health risks from COVID-19. Our results demonstrate the need to examine the existence of adverse effects from pandemic control policies, both on average and across subgroups in the population, such that, when adopting the policies, measures can be taken to mitigate such unintended consequences.
DOI: 10.3886/e168241
title: Frequent mandatory COVID-19 testing may increase risky behavior

description: Mandatory surveillance testing programs are popular policies aimed to control the spread of SARS-Cov-2. However, if those tested believe that testing protects them from COVID-19, such policies could lead to increased risky behavior that undermines the effectiveness of the policy, and may even increase the spread of the virus. Using data from two large U.S. universities with mandatory testing policies, we find that more frequent mandatory testing is associated with higher participation in events particularly prone to cause COVD-19 spread. Women seem to be driving this relationship, and mediation analyses suggest this is partly due to women’s higher perception of health risks from COVID-19. Our results demonstrate the need to examine the existence of adverse effects from pandemic control policies, both on average and across subgroups in the population, such that, when adopting the policies, measures can be taken to mitigate such unintended consequences.
DOI: 10.3886/e168241v1
title: Frequent mandatory COVID-19 testing increases risky behavior

description: Mandatory surveillance testing programs are popular policies aimed to control the spread of SARS-Cov-2. However, if those tested believe that testing protects them from COVID-19, such policies could lead to increased risky behavior that undermines the effectiveness of the policy, and may even increase the spread of the virus. Using data from two large U.S. universities with mandatory testing policies, we find that more frequent mandatory testing is associated with higher participation in events particularly prone to cause COVD-19 spread. Women seem to be driving this relationship, and mediation analyses suggest this is partly due to women’s higher perception of health risks from COVID-19. Our results demonstrate the need to examine the existence of adverse effects from pandemic control policies, both on average and across subgroups in the population, such that, when adopting the policies, measures can be taken to mitigate such unintended consequences.
DOI: 10.3886/e168241v3
title: Frequent mandatory COVID-19 testing may increase risky behavior

description: Mandatory surveillance testing programs are popular policies aimed to control the spread of SARS-Cov-2. However, if those tested believe that testing protects them from COVID-19, such policies could lead to increased risky behavior that undermines the effectiveness of the policy, and may even increase the spread of the virus. Using data from two large U.S. universities with mandatory testing policies, we find that more frequent mandatory testing is associated with higher participation in events particularly prone to cause COVD-19 spread. Women seem to be driving this relationship, and mediation analyses suggest this is partly due to women’s higher perception of health risks from COVID-19. Our results demonstrate the need to examine the existence of adverse effects from pandemic control policies, both on average and across subgroups in the population, such that, when adopting the policies, measures can be taken to mitigate such unintended consequences.
DOI: 10.5281/zenodo.7214545
title: Dataset for "Attosecond Dynamics of sp-Band Photoexcitation"

description: Dataset for: "Attosecond Dynamics of sp-Band Photoexcitation Johann Riemensberger, Stefan Neppl, Dionysios Potamianos, Martin Schäffer, Maximilian Schnitzenbaumer, Marcus Ossiander, Christian Schröder, Alexander Guggenmos, Ulf Kleineberg, Dietrich Menzel, Francesco Allegretti, Johannes V. Barth, Reinhard Kienberger, Peter Feulner, Andrei G. Borisov, Pedro M. Echenique, and Andrey K. Kazansky Phys. Rev. Lett. <strong>123</strong>, 176801 – Published 21 October 2019" DOI: https://doi.org/10.1103/PhysRevLett.123.176801
DOI: 10.5281/zenodo.7214544
title: Dataset for "Attosecond Dynamics of sp-Band Photoexcitation"

description: Dataset for: "Attosecond Dynamics of sp-Band Photoexcitation Johann Riemensberger, Stefan Neppl, Dionysios Potamianos, Martin Schäffer, Maximilian Schnitzenbaumer, Marcus Ossiander, Christian Schröder, Alexander Guggenmos, Ulf Kleineberg, Dietrich Menzel, Francesco Allegretti, Johannes V. Barth, Reinhard Kienberger, Peter Feulner, Andrei G. Borisov, Pedro M. Echenique, and Andrey K. Kazansky Phys. Rev. Lett. <strong>123</strong>, 176801 – Published 21 October 2019" DOI: https://doi.org/10.1103/PhysRevLett.123.176801
DOI: 10.6073/pasta/b75b8338d07ce483836fd8d2b271019a
title: Map of Soil Organic Carbon_Region of Murcia (Spain)

description: This data package contain four soil organic carbon (SOC) maps resulted from the best data-model agreement of the analysis carried out in the frame of the Ph.D. Thesis ‘MODELING ORGANIC CARBON FOR QUANTIFICATION OF RESERVOIRS IN TERRESTRIAL ECOSYSTEMS AT THE NATIONAL LEVEL’ (Pilar Durante). Theses maps correspond to the estimates of SOC concentration (SOCc, g/kg) and SOC stocks (SOCs, tC/ha), and their associated spatially explicit uncertainties maps, for the Region of Murcia at 0-30 cm and 100 m spatial resolution. To achieve this, we evaluated four different digital soil mapping (DSM) approaches to estimate SOCc and SOCs for the Region of Murcia (11,313 km2), a topographic and climatic complex area in southern Iberian Peninsula, at three spatial resolutions (100m, 250m, 1000m). Using a local SOC database (255 soil profiles), we founded that a Quantile Regression Forest (QRF) approach had the best data-model agreement at 100 m spatial resolution, with the best balance of accuracy, external validation, and interpretability. The QRF model showed a mean SOCc of 12.18 g/kg with an overall uncertainty of 10.54 g/kg and an accuracy percentage of 79%; meanwhile the mean SOCs was 27,572 GgC with an uncertainty of 0.016 GgC. The analysis showed that using local environmental covariates and local soil information to predict SOC within this region resulted in a relative improvement between ~40% (for SOCc) and ~65% (for SOCs) when compared with SOC products derived from national and global databases. Our results provided evidence that large discrepancy exists between national and global estimates for reporting SOC at a local scale. Consequently, local-to-regional efforts are needed to better describe SOC spatial variability to reduce uncertainty and improve the assessment of soil resources.
DOI: 10.5281/zenodo.7215916
title: Meta-analysis of diurnal transcriptomics reveals strong patterns of concordance and discordance in mouse liver: processed data

description: The accumulation of public transcriptomic timeseries data enables robust meta-analyses that were not possible until recently. To assess the consistency of biological rhythms across studies, 43 public mouse liver tissue timeseries totaling 805 RNA-seq samples were obtained and analyzed. Only the control groups of each study were included, to create comparable data. Technical factors in RNA-seq library preparation were the largest contributors to transcriptome-level differences, beyond biological or experiment-specific factors such as lighting conditions. Core clock genes were remarkably consistent in phase across all studies, while phase distributions of other periodic genes were generally less consistent. Overlap of genes identified as rhythmic across studies was generally low, with around 50% between some of the highest sample count studies. Distributions of phases of significant genes were remarkably inconsistent across studies, but genes consistently identified as rhythmic clustered near ZT0 and ZT12 in acrophase. Data was integrated across studies in a JIVE analysis, which showed that the top two components of joint within-study variation are determined by time of day. A shape-invariant model with random effects was fit to the genes to identify the underlying shape of the rhythms, consistent across all studies. This revealed the extent of asymmetric and multimodal genes.<br> <br> This supplemental file provides preprocessed RNA-seq quantifications of all reviewed datasets, as well as results of multiple analyses.
DOI: 10.5281/zenodo.7215915
title: Meta-analysis of diurnal transcriptomics reveals strong patterns of concordance and discordance in mouse liver: processed data

description: The accumulation of public transcriptomic timeseries data enables robust meta-analyses that were not possible until recently. To assess the consistency of biological rhythms across studies, 43 public mouse liver tissue timeseries totaling 805 RNA-seq samples were obtained and analyzed. Only the control groups of each study were included, to create comparable data. Technical factors in RNA-seq library preparation were the largest contributors to transcriptome-level differences, beyond biological or experiment-specific factors such as lighting conditions. Core clock genes were remarkably consistent in phase across all studies, while phase distributions of other periodic genes were generally less consistent. Overlap of genes identified as rhythmic across studies was generally low, with around 50% between some of the highest sample count studies. Distributions of phases of significant genes were remarkably inconsistent across studies, but genes consistently identified as rhythmic clustered near ZT0 and ZT12 in acrophase. Data was integrated across studies in a JIVE analysis, which showed that the top two components of joint within-study variation are determined by time of day. A shape-invariant model with random effects was fit to the genes to identify the underlying shape of the rhythms, consistent across all studies. This revealed the extent of asymmetric and multimodal genes.<br> <br> This supplemental file provides preprocessed RNA-seq quantifications of all reviewed datasets, as well as results of multiple analyses.
DOI: 10.25420/britishmuseum.20060012
title: Transcript of interview with Esther Kipkore

description: Interview with Esther Kipkore Transcript.
DOI: 10.25420/britishmuseum.20060012.v1
title: Transcript of interview with Esther Kipkore

description: Interview with Esther Kipkore Transcript.
DOI: 10.25420/britishmuseum.20060006
title: Transcript of interview with Amos Ruto describing harvesting Honey Transcript

description: Description of harvesting Honey.
DOI: 10.25420/britishmuseum.20060003
title: Transcript of interview with Bernard Kiplasoi Transcript

description: Interview with Bernard Kiplasoi Transcript.
DOI: 10.25420/britishmuseum.20060003.v1
title: Transcript of interview with Bernard Kiplasoi Transcript

description: Interview with Bernard Kiplasoi Transcript.
DOI: 10.6084/m9.figshare.20292456
title: Data: understanding the relationship between dispersal and range size

description: Data base that compiles results from 86 studies examining the dispersal-range size relationship for plants and animals in marine, terrestrial and freshwater realms.
DOI: 10.5281/zenodo.7215936
title: Metagenome-assembled genomes from two genera of pitcher plants and three freshwater lakes

description: Illumina shotgun metagenome sequences from <em>Sarracenia </em>and <em>Nepenthes </em>pitcher plants (originally published in Bittleston et al. 2018, MG-RAST RRID: SCR_004814; mgp15454) and three freshwater lakes (Consensus Lake, New York, USA (SRR15064816), Lake Mendota, Wisconsin, USA (SRR11647637), and Lake Samiti, Sikkim, India (SRR10757258)) were binned using CONCOCT v1.1.0 (Alneberg et al. 2014). Bins were further refined using anvi’o’s interactive interface v7.1 (Eren et al. 2015).
DOI: 10.5281/zenodo.7215935
title: Metagenome-assembled genomes from two genera of pitcher plants and three freshwater lakes

description: Illumina shotgun metagenome sequences from <em>Sarracenia </em>and <em>Nepenthes </em>pitcher plants (originally published in Bittleston et al. 2018, MG-RAST RRID: SCR_004814; mgp15454) and three freshwater lakes (Consensus Lake, New York, USA (SRR15064816), Lake Mendota, Wisconsin, USA (SRR11647637), and Lake Samiti, Sikkim, India (SRR10757258)) were binned using CONCOCT v1.1.0 (Alneberg et al. 2014). Bins were further refined using anvi’o’s interactive interface v7.1 (Eren et al. 2015).
DOI: 10.25420/britishmuseum.20060273
title: Histories of Honey

description: Introduction document giving context to the EMKP project.
DOI: 10.25420/britishmuseum.20060273.v2
title: Histories of Honey

description: Introduction document giving context to the EMKP project.
DOI: 10.5281/zenodo.7215951
title: Chinese address

description: A example Chinese address dataset
DOI: 10.5281/zenodo.7215950
title: Chinese address

description: A example Chinese address dataset
DOI: 10.7284/137666
title: Anemometer data collected during research cruise SKQ201510S using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/137667
title: Anemometer data collected during research cruise SKQ201510S using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.7284/137821
title: Anemometer data collected during research cruise SKQ201510S using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/137664
title: Anemometer data collected during research cruise SKQ201511S using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/137665
title: Anemometer data collected during research cruise SKQ201511S using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.7284/137818
title: Anemometer data collected during research cruise SKQ201511S using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/137819
title: Anemometer data collected during research cruise SKQ201511S using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/137662
title: Anemometer data collected during research cruise SKQ201512S using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/137663
title: Anemometer data collected during research cruise SKQ201512S using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.7284/137816
title: Anemometer data collected during research cruise SKQ201512S using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/137817
title: Anemometer data collected during research cruise SKQ201512S using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/137607
title: Anemometer data collected during research cruise SKQ201710T using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.7284/137760
title: Anemometer data collected during research cruise SKQ201710T using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/137761
title: Anemometer data collected during research cruise SKQ201710T using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/130303
title: Singlebeam Echosounder data collected during research cruise SKQ201802T using a Kongsberg TOPAS PS-18 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/130304
title: Singlebeam Echosounder data collected during research cruise SKQ201802T using a L3ELAC LAZ 5100 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147983
title: Anemometer data collected during research cruise SKQ202112T using a Gill WindObserver 75 instrument system onboard the platform RV Sikuliaq

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.5281/zenodo.7215968
title: Are metal-poor stars related to older stars in the solar neighborhood?

description: Data in a paper submitted to Monthly Notices of the Royal Astronomical Society.
DOI: 10.5281/zenodo.7215967
title: Are metal-poor stars related to older stars in the solar neighborhood?

description: Data in a paper submitted to Monthly Notices of the Royal Astronomical Society.
DOI: 10.7284/147984
title: Anemometer data collected during research cruise SKQ202112T using a Gill WindObserver 75 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147993
title: Anemometer data collected during research cruise SKQ202112T using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147994
title: Anemometer data collected during research cruise SKQ202112T using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147995
title: Anemometer data collected during research cruise SKQ202112T using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.7284/147996
title: Anemometer data collected during research cruise SKQ202112T using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147972
title: Flowmeter data collected during research cruise SKQ202112T using a Krohne Optiflux 5000 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147992
title: Fluorometer data collected during research cruise SKQ202112T using a WETLabs WETStar instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147973
title: GNSS (Global Navigation Satellite System) data collected during research cruise SKQ202112T using a CCTech C-Nav 3050 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147971
title: Gravimeter data collected during research cruise SKQ202112T using a Bell BGM-3 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147974
title: Gyrocompass data collected during research cruise SKQ202112T using a Sperry NAVIGAT 2100 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/147975
title: Gyrocompass data collected during research cruise SKQ202112T using a Sperry NAVIGAT 2100 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition