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1,634 results for “Data integration”
Integrated DInSAR + GNSS example data sets
<p>This data repository contains sample datasets of raw DInSAR time series (NSBAS_PARAMS.h5), raw, interpolated GNSS time series maps (GPS_East/North/Up.h5) , errors associated with the GNSS data (GPS_East/North/Up_sigma.h5), and integrated DInSAR + GNSS time series (fused.h5). Details about the data can be read about in the following publication: [Corsa, B. "Integration of DInSAR Time Series and GNSS data for Continuous Volcanic Deformation Monitoring and Eruption Early Warning Applications" <em>Remote Sens.</em> <strong>2022</strong>, <em>14</em>(3), 784; <a href="https://doi.org/10.3390/rs14030784">https://doi.org/10.3390/rs14030784</a>]. The raw DInSAR time series spans 245 dates between 2015-11-11 to 2021-04-13 over the Big Island of Hawaii. The current raw GPS data and fused time series used 22 data points between those same dates. </p>
Supplementary data for the paper "Visual integration of omics data to improve 3D models of fungal chromosomes"
<ul> <li>13 parameter files (*.YML) used by the 3DGB workflow to produce models of 3D genomes.</li> <li>13 3D genomes structures (*.PDB).</li> <li>4 animated GIF of representative structures.</li> <li>1 XLSX file that lists raw (Hi-C and ChIP-seq) data used in this study and the associated analysis.</li> </ul>
Data to: "Despite impaired binocular function, binocular disparity integration across the visual field is spared in normal aging and glaucoma"
<p>This record contains experimental and analysis scripts (written in Matlab) as well as raw and processed data to reproduce the results shown in:</p> <p>Maiello G., & Kwon, M. (in press) Despite impaired binocular function, binocular disparity integration across the visual field is spared in normal aging and glaucoma. IOVS</p> <p>A preprint version of the manuscript is available at: https://doi.org/10.1101/2022.11.28.518250</p>
Different facets of the same niche: integrating citizen science and scientific survey data to predict biological invasion risk under multiple global change drivers
<p>Raw data (occurrences and environmental predictors) used in the manuscript "Different facets of the same niche: integrating citizen science and scientific survey data to predict biological invasion risk under multiple global change drivers"</p>
Integrated ground-based data for wildfires occurred in the Western US in September 2020
<p>Data set used in paper Kassianov <em>et al</em>. <strong>Radiative impact of record-breaking wildfires from integrated ground-based data</strong> to be submitted to <em>Sci. Rep.</em></p> <p>For details of data file formats see attached Readme file</p>
Raw data of findings in the article "Sub-THz_wireless_transmission_based_on_graphene_integrated_optoelectronic_mixer" by A. Montanaro et al.
<p>Raw data containing all the plots in the manuscript "Sub-THz wireless transmission based on graphene integrated optoelectronic mixer" by A. Montanaro et al.</p>
Data and scripts for SCLC_CellMiner: Integrated Genomics and Therapeutics Predictors of Small Cell Lung Cancer Cell Lines based on their genomic signatures
<p>This is the repository of data and scripts for the analysis of the CellminerCDB-SCLC manuscript and website (<a href="https://discover.nci.nih.gov/SclcCellMinerCDB/">https://discover.nci.nih.gov/SclcCellMinerCDB/</a>)</p> <p> </p> <p>CellMiner-SCLC (https://discover.nci.nih.gov/SclcCellMinerCDB) integrates 118 patient-derived cell lines with drug sensitivity and genomic datasets, including high resolution methylome and RNAseq data. CellMiner-SCLC provides a new resource for SCLC research for this “recalcitrant cancer”. Of fundamental importance, we demonstrate the reproducibility and stability of the cell line datasets from different institutions (CCLE, GDSC, CTRP, NCI and UTSW). We validate the classification based on four master transcription factors: NEUROD1, ASCL1, POU2F3 and YAP1 and show transcription networks connecting them with the MYC genes (MYC, MYCL1 and MYCN) and the NOTCH and HIPPO pathways. We find that the 4 subsets express specific surface markers for antibody-targeted therapies. The YAP1-driven (SCLC-Y) cell lines differ from the other subsets by expressing the NOTCH pathway, epithelial-mesenchymal-transition (EMT) and antigen-presenting machinery (APM) genes, and by responding to mTOR and AKT inhibitors, suggesting the potential of NOTCH modulators, YAP1 inhibitors and immune checkpoint inhibitors for SCLC-Y tumors.</p>
Figs 30–35 in Description of a new species of Loxosceles Heineken & Lowe (Araneae, Sicariidae) recluse spiders from Hidalgo, Mexico, under integrative taxonomy: morphological and DNA barcoding data (CO1 + ITS2)
Figs 30–35. Variation of the male palps, left palps, prolateral views. 30–33. Loxosceles tolantongo sp. nov. 30–32. Tourist Center Grutas de Tolantongo, Municipality of Cardonal, Hidalgo (type locality). 33. 500 m west of the entrance No. 5 to the Tourist Center Grutas de Tolantongo, Municipality of Cardonal, Hidalgo. 34–35. Loxosceles jaca Gertsch & Ennik, 1983. 2.5 km north of Jacala de Ledezma, Municipality of Jacala de Ledezma, Hidalgo. Scale bars = 0.5 mm.
Fig. 56 in Description of a new species of Loxosceles Heineken & Lowe (Araneae, Sicariidae) recluse spiders from Hidalgo, Mexico, under integrative taxonomy: morphological and DNA barcoding data (CO1 + ITS2)
Fig. 56. Maximum likelihood tree inferred from the concatenated matrix (CO1 + ITS2) of species of Loxosceles Heineken & Lowe, 1832 from Mexico. Colors of branches and bars indicate different species. Numbers above bars represent the delimitation methods: 1 = morphology (M); 2 = neighbor joining (NJ); 3 = ABGD with initial partitions (IP); 4–5 = ABGD with recursive partitions (RP); 6 = GMYC yule analysis; 7 = GMYC coalescent analysis; 8 bPTP with ML; 9 = bPTP with IB. Numbers below bars represent species recovered for each delimitation method. Red numbers correspond to Bayesian posterior probabilities, black numbers are bootstrap support values from the ML analysis.
Figs 20–25 in Description of a new species of Loxosceles Heineken & Lowe (Araneae, Sicariidae) recluse spiders from Hidalgo, Mexico, under integrative taxonomy: morphological and DNA barcoding data (CO1 + ITS2)
Figs 20–25. Loxosceles tolantongo sp. nov., ♂ holotype (CNAN-T01317). 20–22. Left palp, prolateral, dorsal and retrolateral views, respectively. 23–25. Detail of the bulb and embolus, retrolateral, dorsal and apical views, respectively. Scale bars: 20–22 = 0.5 mm; 23–25 = 0.2 mm.
Fig. 54 in Description of a new species of Loxosceles Heineken & Lowe (Araneae, Sicariidae) recluse spiders from Hidalgo, Mexico, under integrative taxonomy: morphological and DNA barcoding data (CO1 + ITS2)
Fig. 54. Maximum likelihood tree inferred from CO1 gene of species of Loxosceles Heineken & Lowe, 1832 from Mexico. Colors of branches and bars indicate different species. Numbers above bars represent the delimitation methods: 1 = morphology (M); 2 = neighbor joining (NJ); 3 = ABGD with initial partitions (IP); 4–6 = ABGD with recursive partitions (RP); 7 = GMYC yule analysis; 8 = GMYC coalescent analysis; 9 = bPTP with ML; 10 = bPTP with IB. Numbers below bars represent species recovered for each delimitation method. Red numbers on branches correspond to Bayesian posterior probabilities, black numbers are bootstrap support values from the ML analysis.
Supplementary data to *Benchmarking of numerical integration methods for ODE models of biological systems*
<p>This archive contains supplementary data and code for the manuscript <strong>Benchmarking of numerical integration methods for ODE models of biological systems </strong>by<strong> Städter et al. 2020</strong>. It contains</p> <ul> <li>scripts to automatically download and install all required packages and models,</li> <li>scripts to compile the models and to perform the study,</li> <li>value files containing all data underlying the analyses in the manuscript,</li> <li>scripts to generate the manuscript figures.</li> </ul> <p>There is a <strong>README.md </strong>file with further information, in particular on what scripts to execute to reproduce the study.</p>
Data from: Evolutionary and demographic history of the Californian scrub white oak species complex: an integrative approach
<p>Understanding the factors promoting species formation is a major task in evolutionary research. Here, we employ an integrative approach to study the evolutionary history of the Californian scrub white oak species complex (genus <em>Quercus</em>). To infer the relative importance of geographical isolation and ecological divergence in driving the speciation process, we (i) analyzed inter- and intra-specific patterns of genetic differentiation and employed an approximate Bayesian computation (ABC) framework to evaluate different plausible scenarios of species divergence. In a second step, we (ii) linked the inferred divergence pathways with current and past species distribution models, and (iii) tested for niche differentiation and phylogenetic niche conservatism across taxa. ABC analyses showed that the most plausible scenario is the one considering the divergence of two main lineages followed by a more recent pulse of speciation. Genotypic data in conjunction with species distribution models and niche differentiation analyses support that different factors (geography vs. environment) and modes of speciation (parapatry, allopatry and maybe sympatry) have played a role in the divergence process within this complex. We found no significant relationship between genetic differentiation and niche overlap, which probably reflects niche lability and/or that multiple factors have contributed to speciation. Our study shows that different mechanisms can drive divergence even among closely related taxa representing early stages of species formation and exemplifies the importance of adopting integrative approaches to get a better understanding of the speciation process.</p>
Figure 9b. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176
Figure 9b. - Taxonomically informative character examples. Abbreviations: AS = anal shield; T10 = tergite 10; c8 = male tergite 10, posterior margin, number of rows of large bacilli; c12 = male anal shield, shape. For more information on characters and states see Table 2.Figure 9a.TW30: T.lobata, male, South Wales (MBsID: 852824). Character states: two rows of bacilli on posterior edge of T10 (c8/1) and well-rounded anal shield (c12/0). This set of character states is (in our sample) unique for T.lobata.Figure 9b.GL07: T.cf.rousseti, male, Spain (MBsID: 852825). Character states: one row of bacilli on posterior edge of T10 (c8/0) and anal shield with special protuberance (c12/1). This set of character states is (in our sample) shared by T.pyrenaica, T.cf.rousseti, and T.cf.drescoi. <br>
Figure 9a. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176
Figure 9a. - Taxonomically informative character examples. Abbreviations: AS = anal shield; T10 = tergite 10; c8 = male tergite 10, posterior margin, number of rows of large bacilli; c12 = male anal shield, shape. For more information on characters and states see Table 2.Figure 9a.TW30: T.lobata, male, South Wales (MBsID: 852824). Character states: two rows of bacilli on posterior edge of T10 (c8/1) and well-rounded anal shield (c12/0). This set of character states is (in our sample) unique for T.lobata.Figure 9b.GL07: T.cf.rousseti, male, Spain (MBsID: 852825). Character states: one row of bacilli on posterior edge of T10 (c8/0) and anal shield with special protuberance (c12/1). This set of character states is (in our sample) shared by T.pyrenaica, T.cf.rousseti, and T.cf.drescoi. <br>
Figure 8d. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176
Figure 8d. - Telopods. SEM micrographs of Trachysphaeracf.drescoi and T.pyrenaica males from France. For TW# refer to Checklists. Abbreviations: fem = femur; pre = prefemur; syn = syncoxite; ta = tarsus; ti = tibia; 18 = leg (pair) 18.Figure 8a.T.cf.drescoi, anterior view (MBiID 852849)Figure 8b.T.cf.drescoi, anterior view (MBiID 852848)Figure 8c.T.pyrenaica, anterior view (MBiID 852894)Figure 8d.T.pyrenaica, posterior (anal) view (MBiID 852898) <br> GL07: T.cf.rousseti, male, Spain (MBsID: 852825). Character states: one row of bacilli on posterior edge of T10 (c8/0) and anal shield with special protuberance (c12/1). This set of character states is (in our sample) shared by T.pyrenaica, T.cf.rousseti, and T.cf.drescoi.
Figure 8c. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176
Figure 8c. - Telopods. SEM micrographs of Trachysphaeracf.drescoi and T.pyrenaica males from France. For TW# refer to Checklists. Abbreviations: fem = femur; pre = prefemur; syn = syncoxite; ta = tarsus; ti = tibia; 18 = leg (pair) 18.Figure 8a.T.cf.drescoi, anterior view (MBiID 852849)Figure 8b.T.cf.drescoi, anterior view (MBiID 852848)Figure 8c.T.pyrenaica, anterior view (MBiID 852894)Figure 8d.T.pyrenaica, posterior (anal) view (MBiID 852898) <br> TW30: T.lobata, male, South Wales (MBsID: 852824). Character states: two rows of bacilli on posterior edge of T10 (c8/1) and well-rounded anal shield (c12/0). This set of character states is (in our sample) unique for T.lobata.
Figure 8b. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176
Figure 8b. - Telopods. SEM micrographs of Trachysphaeracf.drescoi and T.pyrenaica males from France. For TW# refer to Checklists. Abbreviations: fem = femur; pre = prefemur; syn = syncoxite; ta = tarsus; ti = tibia; 18 = leg (pair) 18.Figure 8a.T.cf.drescoi, anterior view (MBiID 852849)Figure 8b.T.cf.drescoi, anterior view (MBiID 852848)Figure 8c.T.pyrenaica, anterior view (MBiID 852894)Figure 8d.T.pyrenaica, posterior (anal) view (MBiID 852898) <br> T.pyrenaica, posterior (anal) view (MBiID 852898)
Figure 8a. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176
Figure 8a. - Telopods. SEM micrographs of Trachysphaeracf.drescoi and T.pyrenaica males from France. For TW# refer to Checklists. Abbreviations: fem = femur; pre = prefemur; syn = syncoxite; ta = tarsus; ti = tibia; 18 = leg (pair) 18.Figure 8a.T.cf.drescoi, anterior view (MBiID 852849)Figure 8b.T.cf.drescoi, anterior view (MBiID 852848)Figure 8c.T.pyrenaica, anterior view (MBiID 852894)Figure 8d.T.pyrenaica, posterior (anal) view (MBiID 852898) <br> T.pyrenaica, anterior view (MBiID 852894)
Figure 5d. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176
Figure 5d. - Trachysphaera SEM characters. A+B: MBsID 852812, C-E: MBsID 852823. Abbreviations: AS = anal shield; Co = collum; Gr = groove, 'Ohrgrube'; h = head; T# = refers to number of tergite; th-sh = thoracic shield; c2 = collum, number of toothed ridges; c3 = thoracic shield anterior margin, number of rows of sclerotized nodules; c4 = thoracic shield, number of rows of large sclerotized protuberances; c5 = endotergum structure; c6 = endotergum, number of rows of setae; c7 = endotergum, number of rows of sclerotized nodules; c9 = female tergite 10, posterior margin, number of rows of large bacilli (with row counts 1, 2); c11 = female anal shield, shape; c13 = female anal shield, setae at posterior margin; c15 = female anal shield, large circular grooves (for more information on characters see Table 2).Figure 5a.TW1: T.lobata, female, Isle of Wight; anterior view; scale bar: 400 µmFigure 5b.TW1: T.lobata, female, Isle of Wight; anterior body part, lateral view; scale bar: 300 µmFigure 5c.TW29: T.lobata, female, South Wales; tergite 10 and anal shield, lateral view; scale bar: 300 µm; c13 points to Fig. 4eFigure 5d.TW29: T.lobata, female, South Wales; endotergum (underside of tergite); scale bar: 20 µmFigure 5e.TW29: T.lobata, female, South Wales; posterior margin of anal shield, detail; scale bar: 50 µm <br> anterior view (MBiID 852943)
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.