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461 results for “Biology research”
FIGURE 6. First 12 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 6. First 12 modes of the skull in case 2 (with the web of beams in the model).
FIGURE 3 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 3. Locations of the nine nodes at which the stresses were evaluated.
FIGURE 5. First 12 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 5. First 12 modes of the skull in case 1 (without web of beams in the model).
Additional climate information for research paper «Ecological and Geographical Analysis of Distribution of Heracleum persicum, H. mantegazzianum and H. sosnowskyi on The Northern Limit of Its Invaded Range in Europe» submitted to Russian Journal of Biological Invasions
<p><strong>Additional climate information for research paper «Ecological and Geographical Analysis of Distribution of Heracleum persicum, H. mantegazzianum and H. sosnowskyi on The Northern Limit of Its Invaded Range in Europe» submitted to Russian Journal of Biological Invasions </strong></p>
Transcriptomics for clinical and experimental biology research: hang on a seq
<p>Additional R script, source data files and figures associated with the paper.</p> <p>The following source files can generate the corresponding figures using the R script (Omics_review_HC_final.R).</p> <p>Figure 1: Fig1_upset_new_V2_general.type.csv</p> <p>Figure 2 & 3: SMP_ENSG_biotypes_average_data_All_genes_V2.xlsx; FUSION_study_CPM-data_fusion_annotated.xlsx</p> <p>Extra Figures (RNA_review_figures_brain_HC.pdf) uploaded here : GSE47774_SEQC_ILM_BGI_Human_Brain_Only.xlsx; GSE47774_SEQC_ILM_BGI_Human_Brain_Only.xlsx</p> <p>Additional raw counts source files:</p> <p>RNA-seq.A: summary data is available at https://www.ebi.ac.uk/birney-srv/FUSION/. Full dataset is available at dbGaP accession phs001048.v2.p1.</p> <p>RNA-seq.B: GSE164471_GESTALT_Muscle_ENSG_counts_annotated.csv</p> <p>RNA-seq.C: GSE97084_Robinson_GeneCount_raw.tsv; GSE97084_Robinson_GeneCount_raw_2.tsv</p> <p>RNA-seq.D: GSE157585_Kulkarni_Peck_et_al_MASTERS_raw_counts.txt</p> <p>RNA-seq.E: GSE151066_Rubenstein_rsem_genes_count.csv</p> <p>HTA2.0 array: SMP191_iron_output_M_GC-HTA_ENST_Grch38_25.500.25.10_log2_2_minimum.csv; ENSG_biotypes_RNA_review_SMP_data</p> <p>Figure 5 & 6 are generated from various source files above following the R script.</p>
Psoriatic Arthritis Research Collaborative: Biologic Sub-Study
ClinicalTrials.gov study NCT03378336. IPD Sharing: YES. Countries: 1. Publications: 1.
Researcher effects on the biological structure and edaphic conditions of field sites and implications for management
Open the record for dataset details and reuse information.
Loch Vale Watershed Research Project site, stations USGS Biological Resources Division station in Loch Vale, measurements taken at 2m heightUSGS Water Resources Division station at Loch Vale, measurements taken at 2m height, study of air temperature (mean maximum ) in units of celsius on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Loch Vale Watershed Research Project (LVW) contains air temperature (mean maximum ) measurements in celsius units and were aggregated to a monthly timescale.
Loch Vale Watershed Research Project site, stations USGS Biological Resources Division station in Loch Vale, measurements taken at 2m heightUSGS Water Resources Division station at Loch Vale, measurements taken at 2m height, study of air temperature (mean maximum ) in units of celsius on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Loch Vale Watershed Research Project (LVW) contains air temperature (mean maximum ) measurements in celsius units and were aggregated to a yearly timescale.
Loch Vale Watershed Research Project site, stations USGS Biological Resources Division station in Loch Vale, measurements taken at 2m heightUSGS Water Resources Division station at Loch Vale, measurements taken at 2m height, study of air temperature (mean) in units of celsius on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Loch Vale Watershed Research Project (LVW) contains air temperature (mean) measurements in celsius units and were aggregated to a monthly timescale.
Loch Vale Watershed Research Project site, stations USGS Biological Resources Division station in Loch Vale, measurements taken at 2m heightUSGS Water Resources Division station at Loch Vale, measurements taken at 2m height, study of air temperature (mean) in units of celsius on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Loch Vale Watershed Research Project (LVW) contains air temperature (mean) measurements in celsius units and were aggregated to a yearly timescale.
Loch Vale Watershed Research Project site, stations USGS Biological Resources Division station in Loch Vale, measurements taken at 2m heightUSGS Water Resources Division station at Loch Vale, measurements taken at 2m height, study of air temperature (mean minimum) in units of celsius on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Loch Vale Watershed Research Project (LVW) contains air temperature (mean minimum) measurements in celsius units and were aggregated to a monthly timescale.
Loch Vale Watershed Research Project site, stations USGS Biological Resources Division station in Loch Vale, measurements taken at 2m heightUSGS Water Resources Division station at Loch Vale, measurements taken at 2m height, study of air temperature (mean minimum) in units of celsius on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Loch Vale Watershed Research Project (LVW) contains air temperature (mean minimum) measurements in celsius units and were aggregated to a yearly timescale.
Integrating univariate niche dynamics in species distribution models: a step forward for marine research on biological invasions
<p>Aim The development of approaches to predict the distribution and potential expansion of invasive species is still an open challenge. Here our goal is to improve the modelling procedure for marine invaders by coupling Species Distribution Models (SDMs) with an analysis of their univariate niche dynamics. In particular, we tested for the first time whether choosing model predictors among the stable niche dimensions was effective in improving predictions of invasive species expansion.<br> Location Mediterranean Sea<br> Taxon Dusky spinefoot, Siganus luridus.<br> Methods We analysed the univariate niche dynamics for S. luridus across its native and invaded ranges, by applying a standardized framework that allowed the identification of cases of niche stability or shift. We compared inter-range transferability of SDMs fitted with different combinations of labile or stable predictors. Finally, we evaluated interactions in SDM settings (calibration area, model technique and predictors set) on models' predictive ability, using independent data from the most recent phase of invasion.<br> Results We detected a pattern of niche stability for several variables, especially salinity and bathymetry, which positively influenced model inter-ranges transferability: when the models calibrated in the native range include only stable niche axes, predictive ability is improved. We also identified a shift toward lower surface temperatures in the introduced range, which were almost never experienced by the species before invasion. The model calibrated within the combined ranges was the most ecologically congruent. Also, models calibrated in the invaded range allowed a correct prediction of range expansion, with the predicted suitable areas only slightly underestimated.<br> Main conclusions We provide the first evidence that using conserved predictors in SDMs improves inter-range projections of expanding invasive species. Variable selection, calibration area and modelling technique all matter when modelling invasive species, with important interaction effects. We provide guidelines on how to improve SDMs applications in biological invasion research.</p>
The Great British Liverwort Hunt – collecting wild accessions for molecular biology research while engaging the public
<p>During the lockdowns of the COVID-19 pandemic, outreach activities of universities were significantly perturbed. The Sainsbury Laboratory Cambridge University (SLCU) outreach project for the Cambridge festival in 2021 was therefore a fully online project, which asked people from across the mainland of the United Kingdom to send in plant samples of <i>Marchantia polymorpha</i>, and <i>Lunularia cruciata. </i>The samples were, upon arrival, established into axenic culture for use in research. Here, we deposit the names and locational data of the lines established in axenic culture for the wider use of the research community. Out of 76 samples received, 68 were successfully established in sterile tissue culture. This dataset also includes an analysis of the sex of the <i>M. polymorpha</i> accessions.</p>
Supplementary material 2 from: Senderov V, Georgiev T, Penev L (2016) Online direct import of specimen records into manuscripts and automatic creation of data papers from biological databases . Research Ideas and Outcomes 2: e10617. https://doi.org/10.3897/rio.2.e10617
This spreadsheet contains the information about the specimen API's of GBIF, BOLD Systems, iDigBio, and PlutoF. It lists the endpoints and the documentation URLs in the sheet named "APIs". In the sheet named "Mappings" it lists how to map the non-DwC compliant APIs (BOLD and PlutoF) to DwC-terms.
Supplementary material 1 from: Talamas EJ, Pham H-T (2017) An online photographic catalog of Platygastroidea (Hymenoptera) in the Institute of Ecology and Biological Resources (Hanoi, Vietnam), with some taxonomic notes. In: Talamas EJ, Buffington ML (Eds) Advances in the Systematics of Platygastroidea. Journal of Hymenoptera Research 56: 225-239. https://doi.org/10.3897/jhr.56.10214
Platygastroidea in IEBR : Explanation note: A table lists the species of Platygastroidea, the author of the species, how many specimens are present in IEBR, including type status, and collecting unit identifiers for specimens that have been photographed.
Supplementary material 3 from: Senderov V, Georgiev T, Penev L (2016) Online direct import of specimen records into manuscripts and automatic creation of data papers from biological databases . Research Ideas and Outcomes 2: e10617. https://doi.org/10.3897/rio.2.e10617
This archive contains XSLT transformations from EML v. 2.1.1 and v. 2.1.0 to Pensoft data paper format.
Supplementary material 2 from: Fiaboe K, Fernández-Triana J, Nyamu F, Agbodzavu K (2017) Cotesia icipe sp. n., a new Microgastrinae wasp (Hymenoptera, Braconidae) of importance in the biological control of Lepidopteran pests in Africa. Journal of Hymenoptera Research 61: 49-64. https://doi.org/10.3897/jhr.61.21015
Tree Result – Search: Sample IDs; Seq Length(500 bp); Include public records (170 records returned) (170 records selected) :
Research data supporting "Porous silicon nanoneedles modulate endocytosis to deliver biological payloads"
<p>Research data supporting of Gopal S. et al., 2019, Advanced Materials, DOI: 10.1002/adma.201806788</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.