cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5007579
title: IODP Expedition 371, Hole U1508C - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 371: Tasman Frontier Subduction Initiation and Paleogene Climate
DOI: 10.5281/zenodo.5007578
title: IODP Expedition 371, Hole U1508C - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 371: Tasman Frontier Subduction Initiation and Paleogene Climate
DOI: 10.5281/zenodo.5007585
title: IODP Expedition 374, Hole U1521A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 374: Ross Sea West Antarctic Ice Sheet History
DOI: 10.5281/zenodo.5007584
title: IODP Expedition 374, Hole U1521A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 374: Ross Sea West Antarctic Ice Sheet History
DOI: 10.17632/v396kvjf6y.3
title: 2D:4D ratio of Bengali Hindu Adolescents of Bally, Howrah, West Bengal, India

description: This dataset contains data concerning digit ratio (2D:4D) of Bengali Hindu Adolescents (Aged between 10 and 17 years) of Bally, Howrah, West Bengal, India. R2D =Length of right hand second digit. R4D =Length of right hand fourth digit. L2D =Length of left hand second digit. L4D = Length of left hand fourth digit. Digit ratio was obtained by dividing the length of second digit by the length of fourth digit. R-L indicates the length of Right - Left fingers (Bilateral asymmetry). All Individuals were healthy, without any burn or injury in the palm, and were unrelated to each other. Informed consent was taken prior to data collection from both the individuals as well as their parents. Observational error while collecting data was statistically insignificant (p&gt;0.05). Data was collected in the month of July 2019 from school going children. Data is fully anonymized.
DOI: 10.5281/zenodo.5007601
title: IODP Expedition 374, Hole U1522A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 374: Ross Sea West Antarctic Ice Sheet History
DOI: 10.5281/zenodo.5007600
title: IODP Expedition 374, Hole U1522A - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 374: Ross Sea West Antarctic Ice Sheet History
DOI: 10.5281/zenodo.5007645
title: IODP Expedition 374, Hole U1523D - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 374: Ross Sea West Antarctic Ice Sheet History
DOI: 10.5281/zenodo.5007644
title: IODP Expedition 374, Hole U1523D - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 374: Ross Sea West Antarctic Ice Sheet History
DOI: 10.5281/zenodo.5007657
title: IODP Expedition 382, Hole U1536E - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 382: Iceberg Alley snd Subantarctic Ice and Ocean Dynamics
DOI: 10.5281/zenodo.5007656
title: IODP Expedition 382, Hole U1536E - Well Logging Data

description: Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
description: IODP Expedition 382: Iceberg Alley snd Subantarctic Ice and Ocean Dynamics
DOI: 10.6073/pasta/e0337271331f6392d4d74f0faf6d352e
title: Inorganic Nitrogen Pools and Tree Composition in Hemlock Removal Experiment at Harvard Forest 2007-2009

description: This study assessed how the change in leaf litter input and environmental conditions, from that of hemlock stands to earlier successional deciduous stands, will affect inorganic nitrogen availability at the interface of the mineral soil and LFH horizons. In early October 2007 we exchanged 0.5 x 0.5 m "loaves" of LFH horizons from hemlock and deciduous stands between forest types, while keeping control plots in the original forest stands. Inorganic nitrogen outputs from the litter loaves were monitored for 20 months using ion-exchange resins, removing and replacing the resins three times at 5 - 8 month intervals. Results indicated that there were differences between the control hemlock and deciduous loaves - NO3 and NH4 availability were higher in deciduous stands. However, the transfer of litter loaves from one stand type to another did not reveal changes in nutrient availability due to a shift in habitat. Rather, the methodology of moving litter loaves to a new site caused greater changes in nutrient availability, particularly over the summer months.
DOI: 10.5281/zenodo.5027135
title: Direct molecular evidence for an ancient, conserved developmental toolkit controlling post-transcriptional gene regulation in land plants

description: In plants, miRNA production is orchestrated by a suite of proteins that control transcription of the pri-miRNA gene, post-transcriptional processing and nuclear export of the mature miRNA. Post-transcriptional processing of miRNAs is controlled by a pair of physically-interacting proteins, HYL1 and DCL1. However, the evolutionary history and structural basis of the HYL1-DCL1 interaction is unknown. Here we use ancestral sequence reconstruction and functional characterization of ancestral HYL1 <em>in vitro</em> and in <em>Arabidopsis thaliana </em>to better understand the origin and evolution of the HYL1-DCL1 interaction and its impact on miRNA production and plant development. We found the ancestral plant HYL1 evolved high affinity for both double-stranded RNA (dsRNA) and its DCL1 partner before the divergence of mosses from seed plants (~500 Ma), and these high-affinity interactions remained largely conserved throughout plant evolutionary history. Structural modeling and molecular binding experiments suggest that the second of two double-stranded RNA-binding motifs (DSRMs) in HYL1 may interact tightly with the first of two C-terminal DCL1 DSRMs to mediate the HYL1-DCL1 physical interaction necessary for efficient miRNA production. Transgenic expression of the nearly 200 Ma-old ancestral flowering-plant HYL1 in <em>A. thaliana</em> was sufficient to rescue many key aspects of plant development disrupted by HYL1<sup>-</sup> knockout and restored near-native miRNA production, suggesting that the functional partnership of HYL1-DCL1 originated very early in and was strongly conserved throughout the evolutionary history of terrestrial plants. Overall, our results are consistent with a model in which miRNA-based gene regulation evolved as part of a conserved plant ‘developmental toolkit’.
description: This work was supported by the US National Science Foundation (Molecular and Cellular Biology, grant number 1817942).
DOI: 10.5281/zenodo.5027134
title: Direct molecular evidence for an ancient, conserved developmental toolkit controlling post-transcriptional gene regulation in land plants

description: In plants, miRNA production is orchestrated by a suite of proteins that control transcription of the pri-miRNA gene, post-transcriptional processing and nuclear export of the mature miRNA. Post-transcriptional processing of miRNAs is controlled by a pair of physically-interacting proteins, HYL1 and DCL1. However, the evolutionary history and structural basis of the HYL1-DCL1 interaction is unknown. Here we use ancestral sequence reconstruction and functional characterization of ancestral HYL1 <em>in vitro</em> and in <em>Arabidopsis thaliana </em>to better understand the origin and evolution of the HYL1-DCL1 interaction and its impact on miRNA production and plant development. We found the ancestral plant HYL1 evolved high affinity for both double-stranded RNA (dsRNA) and its DCL1 partner before the divergence of mosses from seed plants (~500 Ma), and these high-affinity interactions remained largely conserved throughout plant evolutionary history. Structural modeling and molecular binding experiments suggest that the second of two double-stranded RNA-binding motifs (DSRMs) in HYL1 may interact tightly with the first of two C-terminal DCL1 DSRMs to mediate the HYL1-DCL1 physical interaction necessary for efficient miRNA production. Transgenic expression of the nearly 200 Ma-old ancestral flowering-plant HYL1 in <em>A. thaliana</em> was sufficient to rescue many key aspects of plant development disrupted by HYL1<sup>-</sup> knockout and restored near-native miRNA production, suggesting that the functional partnership of HYL1-DCL1 originated very early in and was strongly conserved throughout the evolutionary history of terrestrial plants. Overall, our results are consistent with a model in which miRNA-based gene regulation evolved as part of a conserved plant ‘developmental toolkit’.
description: This work was supported by the US National Science Foundation (Molecular and Cellular Biology, grant number 1817942).
DOI: 10.5066/p9elnxld
title: National Assessment of Oil and Gas Project - Williston Basin Province (031) Total Petroleum System

description: The Total Petroleum System is used in the National Assessment Project and incorporates the Assessment Unit, which is the fundamental geologic unit used for the assessment of undiscovered oil and gas resources. The Total Petroleum System is shown here as a geographic boundary defined and mapped by the geologist responsible for the province and incorporates not only the set of known or postulated oil and (or) gas accumulations, but also the geologic interpretation of the essential elements and processes within the petroleum system that relate to source, generation, migration, accumulation, and trapping of the discovered and undiscovered petroleum resource(s).
DOI: 10.5281/zenodo.1095627
title: BioTIME

description: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. The database consists of 11 tables; one raw data table plus ten related meta data tables. For further information please see our associated data paper. This data consists of several elements: BioTIMESQL_24_06_2021.sql - an SQL file for the full public version of BioTIME which can be imported into any mySQL database. BioTIMEQuery_24_06_2021.csv - data file, although too large to view in Excel, this can be read into several software applications such as R or various database packages. BioTIMEMetadata_24_06_2021.csv - file containing the meta data for all studies. BioTIMECitations_24_06_2021.csv - file containing the citation list for all studies. BioTIMECitations_24_06_2021.xlsx - file containing the citation list for all studies (some special characters are not supported in the csv format). BioTIMEInteractions_02_04_2018.Rmd - an r markdown page providing a brief overview of how to interact with the database and associated .csv files (this will not work until field paths and database connections have been added/updated). Please note: any users of any of this material should cite the associated data paper in addition to the DOI listed here. To cite the data paper use the following: Dornelas M, Antão LH, Moyes F, Bates, AE, Magurran, AE, et al. BioTIME: A database of biodiversity time series for the Anthropocene. <em>Global Ecol Biogeogr.</em> 2018; 27:760 - 786. https://doi.org/10.1111/geb.12729
DOI: 10.15468/3btk36
title: Description and taxonomic analysis of a tuberculated turtle leech from the Outer Banks, North Carolina, USA, provisionally identified as Placobdella multilineata Moore, 1953 (Hirudinea: Glossiphoniidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sawyer, Roy T. (2021): Description and taxonomic analysis of a tuberculated turtle leech from the Outer Banks, North Carolina, USA, provisionally identified as Placobdella multilineata Moore, 1953 (Hirudinea: Glossiphoniidae). Zootaxa 4991 (1): 1-35, DOI: https://doi.org/10.11646/zootaxa.4991.1.1
DOI: 10.6073/pasta/dd39b3bb0cb3ef7a2fbb1819d4f97498
title: Regional and Historical Variation in Garlic Mustard Distribution in Western Massachusetts 2006-2007

description: The susceptibility of a site to invasion by nonnative species depends on its current ecological features and its historical land use. Certain environments might be more conducive to an invasive plant’s success, and several recent studies have shown that former agricultural sites are more susceptible to invasion than sites that have been continuously wooded. We studied the invasive herb garlic mustard (Alliaria petiolata), at roadside forested edges. Site selection was stratified by two regions with distinct ecological characteristics (the Connecticut River Valley and the Berkshire Valley in Massachusetts), and two historical land uses (wooded versus cleared in 1830).
DOI: 10.6084/m9.figshare.13585955
title: Original Scale Metablomics Data: EC_Plasma_Metabolomics

description: Original sclae data from HD4 platform Metabolon
DOI: 10.6084/m9.figshare.13585955.v2
title: Original Scale Metablomics Data: EC_Plasma_Metabolomics

description: Original sclae data from HD4 platform Metabolon
DOI: 10.6084/m9.figshare.13585955.v1
title: Original Scale Metablomics Data

description: Original sclae data from HD4 platform Metabolon
DOI: 10.25739/8p1e-0931
title: Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations - Omics Data

description: The data published here is the raw multi-omics data used for the paper titled "Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations" (bioRxiv 2021.05.03.442386). In this paper, we integrated genomic DNA markers, transcripts and metabolites to predict agronomic and seed nutritional traits across environments and in distantly related populations in addition to the single-environment prediction. The GBS data used in this study was downloaded from T3/Oat (https://oat.triticeaetoolbox.org/), so here we publish the phenotypic, RNAseq and metabolomics data.
DOI: 10.5281/zenodo.5027241
title: Data Matrix Theme-Specific Analysis of the Recommendation on Science and Scientific Researchers (RSSR): Open Access, Open Data, and Open Science

description: This Table sets out findings from the mapping exercise conducted as part of the objectives of subtask 6.1 of the RRING project. Aim: Alignment of RRI to advance the UN SDGs. Objectives: Mapping the RSSR to the SDGs Mapping the RSSR to the SDGs is aimed at providing new perspectives, ideas and approaches that can help to improve the operationalization and implementation of each SDG, <em>by facilitating the integration of RRI (or RRI-like) practices in the SDGs, to make them more achievable.</em> The impact of the new perspectives, ideas and approaches in SDG operationalization and implementation will be aimed at the level of <em>national and international policy (making); future research and innovation projects (in industry and academia); as well as education and training of researchers, policy makers and other stakeholders.</em> Two documents were used for this task: 2017 Recommendation on Science and Scientific Researchers ([RSSR], UNESCO), and the United Nations 2030 Agenda for Sustainable Development with the 17 Sustainable Development Goals (SDGs).
DOI: 10.5281/zenodo.5027240
title: Data Matrix Theme-Specific Analysis of the Recommendation on Science and Scientific Researchers (RSSR): Open Access, Open Data, and Open Science

description: This Table sets out findings from the mapping exercise conducted as part of the objectives of subtask 6.1 of the RRING project. Aim: Alignment of RRI to advance the UN SDGs. Objectives: Mapping the RSSR to the SDGs Mapping the RSSR to the SDGs is aimed at providing new perspectives, ideas and approaches that can help to improve the operationalization and implementation of each SDG, <em>by facilitating the integration of RRI (or RRI-like) practices in the SDGs, to make them more achievable.</em> The impact of the new perspectives, ideas and approaches in SDG operationalization and implementation will be aimed at the level of <em>national and international policy (making); future research and innovation projects (in industry and academia); as well as education and training of researchers, policy makers and other stakeholders.</em> Two documents were used for this task: 2017 Recommendation on Science and Scientific Researchers ([RSSR], UNESCO), and the United Nations 2030 Agenda for Sustainable Development with the 17 Sustainable Development Goals (SDGs).
DOI: 10.6073/pasta/6e0893dbdeeb98088534c5c8dd1564f7
title: Bayesian Analysis of Tree Distributions Across Space and Time in Eastern North America 2010-2011

description: The distributions of many organisms are spatially autocorrelated, but it is unclear whether including spatial terms in species distribution models (SDMs) improves projections of future species distributions. We provide the first comparative test of a purely spatial SDM, a purely non-spatial SDM, and an SDM that combines spatial and environmental information. Spatial SDMs provided better fits to the calibration data, more accurate predictions of a hold-out validation data set of modern trees, and lower false positive rates at all time periods than non-spatial SDMs. Hindcasted projection of spatial SDMs had higher variance than those of non-spatial SDMs. Overall predictive performance of non-spatial and spatial SDMs varied temporally and as a function of niche overlap. Ecological modelers should include spatial terms in SDMs used for projecting future distributions of species.
DOI: 10.25739/m9qp-b752
title: Predicting protein temperature sensitivity across the prokaryote-eukaryote divide

description: Protein thermostability is important for fitness, but it is difficult to measure stability for every protein in the proteome. Fortunately, protein thermostability is correlated with prokaryotic species’ optimal growth temperature (OGT), which can be predicted from other genome features. The link between sequence features, OGT, and protein stability makes it possible to build models that predict protein stability from protein amino acid sequences. Such prediction models are particularly useful for eukaryotic species, which have large proteomes with limited annotation. Models that can predict temperature sensitivity across the prokaryote-eukaryote divide would help inform how eukaryotes adapt to elevated temperatures, such as those predicted by climate change models. In this study we test whether prediction models can cross the prokaryote-eukaryote divide to predict both prokaryotic and eukaryotic protein stability. We compare models built using a) the whole proteome, b) Pfam domains, and c) individual amino acid residues. Proteome-wide models accurately predict prokaryote optimal growth temperatures (r2 up to 0.93), while site-specific models demonstrate that nearly half of the proteome is associated with optimal growth temperature in both Archaea and Bacteria. Comparisons with the small number of eukaryotes with temperature sensitivity data suggest that site-specific models are the most transferable across the prokaryote-eukaryote divide. Using the site-specific models, we evaluated temperature sensitivity for 323,850 amino acid residues in 2,088 Pfam domain clusters in Archaea and Bacteria species separately. 190,063 residues (58.7%) are significantly associated with OGT in Archaea species and 244,256 residues (75.4%) are significantly associated with OGT in Bacteria species at a 5% false discovery rate. These models make it possible to understand which Pfam domains and amino acid residues are involved in temperature adaptation and facilitate future research questions about how species will fare in the face of increasing environmental temperatures.
DOI: 10.6073/pasta/6ba614f859be73d81b26b6724beca68a
title: SDR01 Intra-clonal stem demography of Cornus drummondii in response to fire and browsing at Konza Prairie

description: Intra-clonal stem density, natality, mortality, flowering and relative growth rate within discrete Cornus drummondii shrubs in response to fire frequency (4- vs 20-yr burn intervals) and simulated browsing. Tagged stems within individual shrubs were tracked and measured at the beginning and end of each growing season in 2018 and 2019 to assess the interactions of fire and browsing on stem demography.
DOI: 10.25810/dypp-4y84
title: United Kingdom Newspaper Coverage of Climate Change or Global Warming, 2000-2021 - May 2021

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.