Find research datasets worth reusing

opencc-by-4.0Mar 2023View details →

Dating strike-slip ductile shear through combined zircon-, titanite- and apatite U–Pb geochronology along the southern Tan-Lu Fault zone, East China

This is the dataset for "Dating strike-slip ductile shear through combined zircon-, titanite- and apatite U–Pb geochronology along the southern Tan-Lu Fault zone, East China". Including the EMPA and geochronology data.

opencc-zeroMay 2023View details →

Data for: The start of frozen dates over northern permafrost regions with the changing climate

The soil freeze-thaw cycle in the permafrost regions has a significant impact on regional surface energy and water balance. Although increasing efforts have been made to understand the responses of spring thawing to climate change, the mechanisms controlling the global interannual variability of the start date of permafrost frozen (SOF) remain unclear. Using long-term SOF from the combinations of multiple satellite microwave sensors between 1979–2020, and analytical techniques, including partial correlation, ridge regression, path analysis, and machine learning, we explored the responses of SOF to multiple climate change factors, including warming (surface and air temperature), start date of permafrost thawing (SOT), soil properties (soil temperature and volume of water), and the snow depth water equivalent (SDWE). Overall, climate warming exhibited the maximum control on SOF, but SOT in spring was also an important driver of SOF variability; among the 65.9% significant SOT and SOF correlations, 79.3% were positive, indicating an overall earlier thawing would contribute to an earlier frozen in winter. The machine learning analysis also suggested that apart from warming, SOT ranked as the second most important determinant of SOF. Therefore, we identified the mechanism responsible for the SOT-SOF relationship using the SEM analysis, which revealed that soil temperature change exhibited the maximum effect on this relationship, irrespective of the permafrost type. Finally, we analyzed the temporal changes in these responses using the moving window approach and found an increased effect of soil warming on SOF. Therefore, these results provide important insights into understanding and predicting SOF variations with future climate change.

opencc-zeroJul 2023View details →

Data for dating in the dark: Elevated substitution rates in cave cockroaches (Blattodea: Nocticolidae) have negative impacts on molecular date estimates

Rates of nucleotide substitution vary substantially across the Tree of Life, with potentially confounding effects on phylogenetic and evolutionary analyses. A large acceleration in mitochondrial substitution rate occurs in the cockroach family Nocticolidae, which predominantly inhabit subterranean environments. To evaluate the impacts of this among-lineage rate heterogeneity on estimates of phylogenetic relationships and evolutionary timescales, we analysed nuclear ultraconserved elements (UCEs) and mitochondrial genomes from nocticolids and other cockroaches. Substitution rates were substantially elevated in nocticolid lineages compared with other cockroaches, especially in mitochondrial protein-coding genes. This disparity in evolutionary rates is likely to have led to different evolutionary relationships being supported by mitochondrial genomes and UCE loci. Furthermore, analyses using relaxed-clock models inferred much deeper divergence times compared with a flexible local clock. Our phylogenetic analysis of UCEs, which is the first genome-scale study to include all nine major cockroach families, unites Corydiidae and Nocticolidae and places Anaplectidae as the sister lineage to the rest of Blattoidea. We uncover an extraordinary level of genetic divergence in Nocticolidae, including two highly distinct clades that separated ~115 million years ago despite both containing representatives of the genus Nocticola. The results of our study highlight the potential impacts of high among-lineage rate variation on estimates of phylogenetic relationships and evolutionary timescales.

opencc-by-4.0Jul 2023View details →

• Dhār धार (District Dhār, Madhya Pradesh). Inscription of the time of Bhoja on an image of the Jain goddess Ambikā dated saṃvat 1091, translation.

Dhār धार (District Dhār, Madhya Pradesh). Inscription of the time of Bhoja on an <a href="https://doi.org/10.5281/zenodo.8189712">image</a> of the Jain goddess Ambikā dated saṃvat 1091, translation.

opencc-zeroAug 2023View details →

Nest initiation and end dates for eight grassland bird species in Wisconsin and Illinois

We used nest records from published grassland bird studies done in Wisconsin and Illinois to compile a dataset for 8 obligate grassland bird species Study sites were clustered in southwestern Wisconsin near Mt. Horeb (43.0167°N, 89.7500°W); sites were located in Dane, Grant, Green, Iowa, Lafayette, Monroe, and Rock counties. In northern Illinois, study sites were located in Lee, Ogle, Will, Grundy, Carroll, and Jo Daviess counties (40.9822 to 42.2356°N, -87.5433 to -90.3489°W).The dataset consists of 3257 nests with observations on nest initiation date (date first egg laid), nest fate (success, failure), number of fledglings, and nest end date (date the nest either failed or fledged at least one nestling). The species were Bobolink, Dickcissel, Eastern Meadowlark, Grasshopper Sparrow, Henslow's Sparrow, Savannah Sparrow, Vesper Sparrow, and Western Meadowlark.

opencc-by-4.0Aug 2023View details →

Date set for the manuscript: Exploring the temporal dynamics of methane ebullition in a subtropical freshwater reservoir

The dataset supports the findings of the manuscript entitled ‘Exploring the Temporal Dynamics of Methane Ebullition in a Subtropical Freshwater Reservoir’. The results of the manuscript are based on continuous in-situ measurements conducted at Passaúna Reservoir, located in the southern part of Brazil (South America). The monitoring was carried out from 2017 to 2020, during which a comprehensive set of environmental variables was obtained from various studies. The primary objective of the manuscript was to comprehend the temporal dynamics of ebullition flux in the reservoir. Therefore, time series data of ebullition and relevant environmental variables were analyzed across different time scales, ranging from minutes to daily resolutions. Statistical and data driven models were tested to predict ebullition at varying time scales, considering the influence of environmental variables. The findings are discussed in the manuscript. Here, xlsx files and Matlab scripts are provided. The xlsx files contain time series data for environmental variables ('Environmental_Variables_TimeSeries') and ebullition flux ('Ebullition_Flux_TimeSeries'). Separate sheets were utilized for different time intervals, namely 5 minutes (dt=5min), 10 minutes (dt=10min), 1 hour (dt=1hr), and 1 day (dt=1d). Explanations and units are provided within the column labels, while 'NaN' denotes missing data. Matlab scripts for all the empirical models that were tested, as outlined in the manuscript's supporting information (Tables S1 and S2), have been made available (detailed in the following table). These scripts were developed using MatLab R2023a. <table> <tbody> <tr> <td> File (.m) </td> <td> Description </td> </tr> <tr> <td> Main scripts </td> </tr> <tr> <td> TableS1_Empirical_Models_Literature </td> <td> Empirical models from the literature tested. (Table S1 in the manuscript) </td> </tr> <tr> <td> TableS2_FirstPart_Reffited_Models </td> <td> Empirical models from the literature refitted. (Table S2 in the manuscript) </td> </tr> <tr> <td> TableS2_SecondPart_New_Models </td> <td> New empirical models implemented. (Table S2 in the manuscript) </td> </tr> <tr> <td> TableS2_SecondPart_New_Models_GAM_Timescales </td> <td> Generalized additive models (GAM) applied to predict ebullition at different timescales. (Table S2 in the manuscript). </td> </tr> <tr> <td> PredictedR2_GAM_models </td> <td> Calculate the predicted R-squared for GAM. </td> </tr> <tr> <td> Functions (need for the main scripts) </td> </tr> <tr> <td> load_TimeSeries </td> <td> Import time series of environmental variables from excel sheets into MatLab. </td> </tr> <tr> <td> load_EbullitionTS </td> <td> Import time series of ebullition from excel sheets into MatLab. </td> </tr> <tr> <td> units_description </td> <td> Description containing units of the variables. </td> </tr> <tr> <td> Bin_xdata </td> <td> Creates data binning of X and Y based on X data. </td> </tr> <tr> <td> RelativeError </td> <td> Calculate the relative error of accumulated flux between measured and simulated. </td> </tr> <tr> <td> ANN5Neurons_Retrained_Deshmukh2014 </td> <td> Trained Artificial Neural Network based on the ANN proposed by Deshmukh et al. (2014). </td> </tr> <tr> <td> ANN_Passauna_20Neurons </td> <td> Trained Artificial Neural Network with the addition of more environmental variables. </td> </tr> </tbody> </table>   Financial support The field measurements were financed by the German Federal Ministry of Education and Research (BMBF, Grant 02WGR1431A), in the framework of the research project MuDak-WRM (https://www.mudak-wrm.kit.edu). This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. Tobias Bleninger received productivity stipend from the National Council for Scientific and Technological Development (CNPq, grant no. 312211/2020-1, call no. 09/2020). Michael Männich received productivity stipend from the National Council for Scientific and Technological Development (CNPq, grant no. 308744/2021-7, call no. 04/2021). Andreas Lorke received financial support from the German Research Foundation (DFG, grant number LO1150/16-1).

opencc-by-4.0Oct 2023View details →

Data for Technical note: Darkroom lighting for luminescence dating laboratory

An optimal lighting setting for the darkroom laboratory is fundamental for the accuracy of luminescence dating results. Here, we present the lighting setting implemented in the new Luminescence Dating Research Laboratory at Stony Brook University, USA. In this study, we performed spectral measurements on different light sources and filters. Then, we measured the optically stimulated luminescence (OSL) signal of quartz and the infrared stimulated luminescence (IRSL) at 50 °C (IR50) as well as post-IR IRSL at 290 °C (pIRIR290) signal of potassium (K)-rich feldspar samples exposed to various light sources and durations. Our ambient lighting is provided by ceiling fixtures, each equipped with a single orange light-emitted diode (LED). In addition, our task-oriented lighting, mounted below each wall-mounted cabinet and inside the fume hoods, is equipped with a dimmable orange LED stripline. The ambient lighting, delivering 0.4 lux at the sample position, induced a loss of less than 5 % (on average) in the quartz OSL dose after 24 h of exposure, and up to 5 % (on average) in the IR50 dose for the K-rich feldspar samples, with no measurable effect on their pIRIR290 dose. The fume hood lighting, delivering 1.1 lux at the sample position, induced a dose loss of less than 5 % in quartz OSL and K-rich feldspar IR50 doses after 24 h of exposure, with no measurable effect on their pIRIR290 dose. As light exposure during sample preparation is usually less than 24 h, we conclude that our lighting setting is suitable for luminescence dating darkrooms, it is simple, inexpensive to build, and durable.

opencc-zeroOct 2023View details →

Birth and death dates for individuals of twelve Rhododendron species

Birth (planting) date, depart date, and depart type (C = censored (not dead), D = dead), for individuals of twelve Rhododendron species planted at the Royal Botanic Garden Edinburgh.

opencc-by-4.0Apr 2023View details →

ATP synthase evolution on a cross-braced dated tree of life

AbstractThe timing of early cellular evolution, from the divergence of Archaea and Bacteria to the origin of eukaryotes, is poorly constrained. The ATP synthase complex is thought to have originated prior to the Last Universal Common Ancestor (LUCA) and analyses of ATP synthase genes, together with ribosomes, have played a key role in inferring and rooting the tree of life. We reconstruct the evolutionary history of ATP synthases using an expanded taxon sampling set and develop a phylogenetic cross-bracing approach, constraining equivalent speciation nodes to be contemporaneous, based on the phylogenetic imprint of endosymbioses and ancient gene duplications. This approach results in a highly resolved, dated species tree and establishes an absolute timeline for ATP synthase evolution. Our analyses show that the divergence of ATP synthase into F- and A/V-type lineages was a very early event in cellular evolution dating back to more than 4Ga, potentially predating the diversification of Archaea and Bacteria. Our cross-braced, dated tree of life also provides insight into more recent evolutionary transitions including eukaryogenesis, showing that the eukaryotic nuclear and mitochondrial lineages diverged from their closest archaeal (2.67-2.19Ga) and bacterial (2.58-2.12Ga) relatives at approximately the same time, with a slightly longer nuclear stem-lineage.Repository Contents1_100Eukaryote_genomes.tar.gz: includes all protein sequence files for the 100 Eukaryotes sampled in this study. 2_Phylogenies.tar.gz: includes all files used for phylogenetic analyses. Folders are organized as follows: <ul><li>1_ATPsynthase_gene_trees: this folder contains all sequence, alignment, and tree files for the ATP synthase gene trees. Files are organized as follows and are associated with the corresponding parts of the manuscript: Figure 3, Figure 5B, Supplementary Figures 5-10, Supplementary Figures 18-19<ul><li>Folder '1_sequences' includes all unaligned fasta sequence files for each ATP synthase gene tree (see Methods)</li><li>Folder '2_alignments' includes all alignments generated using MAFFT L-INS-i (subdirectory: 1_untrimmed) and trimmed with BMGE (subdirectory: 2_trimmed)</li><li>Folder '3_treefiles' includes all IQ-TREE2 output files for all ATP synthase gene phylogenies. Any files with suffix *taxa.treefile contain the full taxonomic string for each accession. </li><li>Folder '4_pdfs' includes PDF files for each ATP synthase gene tree</li></ul></li><li>2_Eukaryotic_subsets: this folder contains all sequence, alignment, and tree files for ATP synthase Eukaryotic subset gene trees. Files are organized as follows and are associated with the corresponding parts of the manuscript: Supplementary Figure 11 <ul><li>Folder '1_sequences' includes all unaligned fasta sequence files for the eukaryotic subsets.</li><li>Folder '2_alignments' includes all alignments generated using MAFFT L-INS-i (subdirectory: 1_untrimmed) and trimmed with BMGE (subdirectory: 2_trimmed).</li><li>Folder '3_treefiles' includes all Bayesian trees inferred for eukaryotic subsets.</li><li>Folder '4_pdfs' includes PDF files for each eukaryotic subset tree </li></ul></li><li>3_21eLife_concatenated_species_tree: this folder contains all sequence, alignment, and tree files for the single gene tree and concatenated phylogeny analyses (inferred using 21 single-copy marker genes, see Methods). Files are organized as follows and are associated with the following parts of the manuscript: Figure 1, Supplementary Figure 20 <ul><li>Folder '1_inspection_start' corresponds to the initial manual inspection of the single gene trees and includes the following subdirectories:<ul><li>Folder '1_sequences' includes all protein sequence fasta files corresponding to the 27 original single-copy marker genes</li><li>Folder '2_alignments' includes all alignment files generated using MAFFT L-INS-i (subdirectory: 1_untrimmed) and trimmed with BMGE (subdirectory: 2_untrimmed)</li><li>Folder '3_treefiles' includes all IQ-TREE2 output files for all phylogenies (27 single-copy marker genes)</li><li>Folder '4_pdfs' includes PDF files for each single gene tree</li></ul></li><li>Folder '2_inspection_final' corresponds to the final manual inspection of the single gene trees and includes the following subdirectories:<ul><li>Folder '1_sequences' includes all protein sequence fasta files corresponding to the final 21 single-copy marker genes</li><li>Folder '2_alignments' includes all alignment files generated using MAFFT L-INS-i (subdirectory: 1_untrimmed) and trimmed with BMGE (subdirectory: 2_untrimmed)</li><li>Folder '3_treefiles' includes all IQ-TREE2 output files for all phylogenies (21 single-copy marker genes)</li><li>Folder '4_pdfs' includes PDF files for each single gene tree</li></ul></li><li>Folder '3_concatenated_phylogeny' contains concatenated alignment generated from the final 21 single-copy marker gene alignments<ul><li>Folder '1_alignment' includes the concatenated alignment generated from the 21 trimmed alignments from the final inspection</li><li>Folder '2_treefiles' includes all IQ-TREE2 output files for trees inferred using the two different models (subdirectories: LG+C20+R+F and LG+C60+R+F)</li></ul></li><li>Folder '4_Eukaryote_only_phylogeny' contains sequence, alignment, and tree files for 21 single-copy marker genes used to infer a Eukaryote-only phylogeny. Folder is organized as follows and files correspond to Supplementary Figure 3: <ul><li>Folder '1_sequences' includes all protein sequence fasta files corresponding to the 21 single-copy marker genes with only Eukaryotes</li><li>Folder '2_alignments' includes all alignment files generated using MAFFT L-INS-i (subdirectory: 1_untrimmed) and trimmed with BMGE (subdirectory: 2_untrimmed)</li><li>Folder '3_concatenated_phylogeny' includes concatenated alignment generated from 21 single-copy markers with only Eukaryotes (subdirectory: 1_alignment) and all IQ-TREE2 output files for the concatenated phylogeny (subdirectory: 2_treefiles)</li><li>Folder '4_pdfs' includes PDF files for the concatenated Eukaryote tree</li></ul></li></ul></li><li>4_Ribosomal_species_tree: this folder contains all sequence, alignment, and tree files for the single gene tree and concatenated phylogeny analyses (inferred using 12 ribosomal marker genes, see Methods). Files are organized as follows and are associated with the corresponding parts of the manuscript: Figure 5A, Figure 5C, Supplementary Figures 12-16, Supplementary Figure 21<ul><li>Folder '1_sequences' includes all protein sequence fasta files for the original 15 ribosomal proteins. Sequence sets include the best-hit Archaea and Bacteria, and nuclear, mitochondrial, and plastid eukaryotic homologs</li><li>Folder '2_alignments' includes all alignment files generated using MAFFT L-INS-i (subdirectory: 1_untrimmed) and trimmed with TRIMAL (gappy-out) (subdirectory: 2_trimmed)</li><li>Folder '3_treefiles' includes all original FastTree tree files, tree files with highlighted sequences to remove (*blue-to-rem = eukaryotic nuclear homolog only; *colored-to-rem = eukaryotic nuclear, mitochondrial, and plastid homologs). PDFs of each marker gene tree are also included that depict highlighting of sequences to keep and/or remove. </li><li>Folder '4_concatenated_phylogeny' contains concatenated alignment generated from the final 12 ribosomal marker genes<ul><li>Folder '1_alignment' includes the concatenated alignment generated with 12 ribosomal marker proteins in MAFFT L-INS-i and trimmed with TRIMAL (gappy-out)</li><li>Folder '2_phylogeny' includes all IQ-TREE2 output files for the species tree inferred using the LG+C60+R+F model</li></ul></li></ul></li><li>5_Dating_analysis: includes all Mcmcdate output files for the dating analyses (species tree and ATP synthase gene tree, see Methods). <ul><li>Folder '0_Starting_species_phylogenies' includes the treefiles (with and without taxonomic string) for the Edited1 and Edited2 topologies that were used in the dating analyses (see Methods). </li><li>Folder '1_Edited1_dating' includes all dated tree files and monitor files for braced and unbraced analyses of the Edited1 species tree topology. Data corresponds to Supplementary Figure 12, Supplementary Figure 14-15 </li><li>Folder '2_Edited2_dating' includes all dated tree files and monitor files for braced and unbraced analyses of the Edited2 (focal) species tree topology. Data corresponds to Figure 5A, Figure 5C, Supplementary Figure 13, Supplementary Figure 16.</li><li>Folder '3_ATP_synthase_dating' includes all dated tree files and monitor files for braced and unbraced analyses of the ATP synthase gene tree. Data corresponds to Figure 5B, Supplementary Figures 18-19.</li></ul></li></ul>3_Scripts.tar.gz: includes all workflows and scripts used for phylogenetic analyses. <ul><li>1_workflows: includes bash workflows for phylogenetic analyses (details on software versions are included in each workflow summary): <ul><li>Workflow_ATPsynthase_gene_trees.sh: generation of the ATP synthase phylogenies</li><li>Workflow_21eLife_marker_phylogeny.sh: inferring the 21 marker-gene species tree </li><li>Workflow_Ribosomal_species_tree.sh: inferring the 12 ribosomal marker-gene species tree </li><li>Workflow_Database_annotations.sh: workflow for gene annotation for 800 sampled Archaea, Bacteria, and Eukaryota</li></ul></li><li>2_R_scripts: includes R scripts used for the Eukaryote sequence contamination screening (Figure 1, Figure 2, Supplementary Figure 2, Supplementary Figures 4, 5, 8-10), presence-absence analyses (Figure 1, Figure 2, Supplementary Figure 2), and plotting tree figures (Supplementary Figures 4-10). Input mapping files and R output files are included.<ul><li>Folder '1_Euk_contamination_screen' contains workflow 'Eukaryote_contamination_screen.Rmd' used to inspect Eukaryotic ATP synthase sequences for bacterial contamination</li><li>Folder '2_Presence_absence' includes sub-directories:<ul><li>Folder '1_Species_tree' includes the treefile(s) used for ordering the plots in Figure 1 and Supplementary Figure 2 ('1_tree'), the taxonomic and COG mapping files and the list of putative contamination to remove ('2_input_files'), the raw count table for all 800 taxa ('3_Output_files'), R output plot(s) ('4_Plotting'), and the script to generate presence-absence plots 'Presence-absence.R'. </li><li>Folder '2_Eukaryotes_only'  includes organelle information, protein mapping files, taxonomic mapping files, and list of putative contamination to remove ('1_Input_files'); raw count table of ATP synthase subunits ('2_Output_files'); and R output plots ('3_Output_files'). Please see 'Eukaryote_contamination_screen.Rmd' in parent directory '2_R_scripts' for more information on how Eukaryotic sequences were screened, how the list of contaminating sequences was curated, and how the plot for Figure 2 was generated. </li></ul></li><li>Folder '3_Plotting_trees' includes the rectangular and radial trees generated for each ATP synthase trees (see Supplementary Figures 5-10). Trees were generated from the treefiles for the ATP synthase gene trees (see above), and script 'Plotting_trees.Rmd'</li><li>'Marker_gene_counts.R' script used to count marker genes per genome (see Methods)</li></ul></li><li>3_TimeTree: includes python scripts used to generate the time-trees (Figure 5C, Supplementary Figures 15 and 19)</li><li>4_ALE_workflow: example bash workflow used to run ALE. For details see Methods. </li></ul>

opencc-zeroOct 2020View details →

Seated Buddha, date unknown

Gilt bronze Seated Buddha, now in the collection of the Minneapolis Institute of Art. More information at https://collections.artsmia.org/art/12487/seated-buddha-siam Source: Objaverse 1.0 / Sketchfab

openmit-licenseMay 2024View details →

Publication dates for PMC publications

Lookup tables in plain JSON, mapping PMC publication identifiers to their earliest respective publication dates. The JSON files are archived in <code>pmc-publication-dates-by-identifier.tar.gz</code>. The archive contains files named after the first digit of the PMC publication identifiers they contain. E.g., the file <code>PMC1.json</code> will contain the data for identifiers <code>PMC1234567</code>, etc. Publication dates are given in the format <code>YYYY[-MM[-DD]]</code>, i.e., the earliest date is given with the maximum of information that has been available from the PMC OAI-PMH metadata, at least the publication year, if available also the publication month and day. <h2>Reproducibility</h2> The <a title="https://snakemake.readthedocs.io/" href="https://snakemake.readthedocs.io/">Snakemake</a> workflow that has produced this dataset has been archived and is available in <code>pmc-publication-dates-workflow.tar.gz</code>. <h3>Running the workflow</h3> To reproduce the dataset on a Linux machine, you need a version of the <a title="https://conda-forge.org/" href="https://conda-forge.org/"><code>conda</code></a> package manager installed on your system. Run the following: <pre><code># Extract the archived workflow tar -xf pmc-publication-dates-workflow.tar.gz # Create conda environment from lock file conda env create -n pmc-metadata --file conda-environment.lock.yaml # Activate the environment conda activate pmc-metadata # Optionally, dry-run the workflow snakemake -n # Produce the output files snakemake --keep-storage-local-copies --software-deployment-method conda -c <NUMBER OF CORES TO USE> </code></pre> <h2>Workflow</h2> To adapt/change the workflow, clone it from <a title="https://github.com/sdruskat/pmc-publication-metadata" href="https://github.com/sdruskat/pmc-publication-metadata">https://github.com/sdruskat/pmc-publication-metadata</a>. The workflow version used to produce this dataset is available at <a href="https://doi.org/10.5281/zenodo.11350802">https://doi.org/10.5281/zenodo.11350802</a>.

closedIPD-NOFeb 2026View details →

Glycemic Index of Date Cultivars and Date-based Products

ClinicalTrials.gov study NCT07286981. IPD Sharing: NO. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →

Randomized Study Comparing the Efficacy and Safety of Varenicline Tartrate to Placebo in Smoking Cessation When Subjects Are Allowed to Set Their Own Quit Date

ClinicalTrials.gov study NCT00691483. IPD Sharing: Not stated. Countries: 14. Publications: 3.

controlledIPD-YESFeb 2026View details →

Study Proposal for Web Based Intervention to Promote the Safe Usage of Dating Applications in Young Adults

ClinicalTrials.gov study NCT03685643. IPD Sharing: YES. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →

Me & You-Tech: A Socio-Ecological Solution to Teen Dating Violence for the Digital Age

ClinicalTrials.gov study NCT05225727. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

School Based Program to Prevent Teen Dating Violence

ClinicalTrials.gov study NCT02909673. IPD Sharing: NO. Countries: 1. Publications: 1.

publicDec 2024View details →

Dating the bacterial tree of life based on ancient symbiosis

Open the record for dataset details and reuse information.

publicMar 2023View details →

Dating the origin and spread of specialization on human hosts in Aedes aegypti mosquitoes

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publicJun 2024View details →

Selection favors high spread and asymmetry of flower opening dates within plant individuals

Open the record for dataset details and reuse information.