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7,370 results for “supplementation”
Stowaways Supplement S6. Relative Size Index (RSI) Comparative Dataset & R Code for Mediterranean Ship Rats
<p>Relative size index (RSI) comparative dataset and R code used to compare the RSI <em>sensu </em>Lomolino (1985) of the ship rats from the Ma'agan Mikhael B (MMB) shipwreck with other Mediterranean island populations. </p> <p>Worksheet 1: RSI_Dataframe - data frame used in R to produce RSI bar chart.</p> <p>Worksheet 2: RSI Data - Mainland and island samples' mean condylobasal lengths (CBL) and further calculations used to derive the RSI values per island population.</p> <p>Worksheet 3: CBL values for each Provençal and Corso-Sardinian Islet that was combined in the RSI analysis, taken directly from Granjon & Cheylan (1990).</p> <p>Data sources:</p> <p>MMB - Southern Levant (this study)</p> <p>Galite & Zembra Islands - Tunisia (Ibrahim et al., 2017)</p> <p>Congreso Island - Morocco (Ventura & Lopez Fuster, 2000)</p> <p>São Miguel & Terceira Island (Azores) - Portugal (Ramalhinho et al., 1996)</p> <p>Corsica & Provençal Islets - Provence (Granjon & Cheylan, 1990)</p> <p>Sardinia & Corso-Sardinian Islets - Tuscany (Granjon & Cheylan, 1990)</p>
Observations of visits and behaviour at supplemental feeders on Tiritiri Matangi Island Scientific Reserve by hihi (Notiomystis cincta) and korimako (Anthornis melanura)
<p>Database of visitation rates and behavioural interactions at supplementary sugar-water feeders on Tiritiri Matangi Island Scientific Reserve, Auckland, New Zealand, by two species, hihi (<em>Notiomystis cincta</em>) and korimako (<em>Anthornis melanura</em>). Observations were recorded from video captured from April to September 2010. Observations were taken from every alternate hour from 0700 to 1700 hours.</p> <p> </p> <p><strong>Legend:</strong></p> <p>mkm = Male korimako (<em>Anthornis melanura</em>)</p> <p>fkm = Female korimako (<em>Anthornis melanura</em>)</p> <p>mhh = Male hihi (<em>Notiomystis cincta</em>)</p> <p>fhh = Female hihi (<em>Notiomystis cincta</em>)</p> <p> </p> <p><strong>Column key:</strong></p> <p>feeder = Name of feeder</p> <p>month = Month feeder recorded</p> <p>time = Time feeder recorded </p> <p>extrapolated = Whether data was rescaled due to one full hour not being recorded (y = yes, n = no)</p> <p>empty = Whether it appeared that the sugar-water bottles were empty during this hour of recording (y = yes, n = no)</p> <p>mkm.visits = Number of visits made by male korimako in this time period</p> <p>fkm.visits = Number of visits made by female korimako in this time period</p> <p>mhh.visits = Number of visits made by male hihi in this time period</p> <p>fhh.visits = Number of visits made by female hihi in this time period</p> <p>mkm.displace.mkm = Number of observations of male korimako displacing another male korimako</p> <p>mkm.displace.fkm = Number of observations of male korimako displacing female korimako</p> <p>mkm.displace.mHH = Number of observations of male korimako displacing male hihi</p> <p>mkm.displace.fHH = Number of observations of male korimako displacing female hihi</p> <p>fkm.displace.mkm = Number of observations of female korimako displacing male korimako</p> <p>fkm.displace.fkm = Number of observations of female korimako displacing another female korimako</p> <p>fkm.displace.mhh = Number of observations of female korimako displacing male hihi</p> <p>fkm.displace.fhh = Number of observations of female korimako displacing female hihi</p> <p>mhh.displace.mkm = Number of observations of male hihi displacing male korimako</p> <p>mhh.displace.fkm = Number of observations of male hihi displacing female korimako</p> <p>mhh.displace.mhh = Number of observations of male hihi displacing another male hihi</p> <p>mhh.displace.fhh = Number of observations of male hihi displacing female hihi</p> <p>fhh.displace.fkm = Number of observations of female hihi displacing female korimako</p> <p>fhh.displace.mhh = Number of observations of female hihi displacing male hihi</p> <p>fhh.displace.fhh = Number of observations of female hihi displacing another female hihi</p> <p>mkm.fight = Number of observations of two male korimako fighting</p> <p>fkm.mbb.fight = Number of observations of a female korimako and a male korimako fighting</p> <p>fkm.fight.mhh = Number of observations of a female korimako and a male hihi fighting</p> <p>fkm.fight.fhh = Number of observations of a female korimako and a female hihi fighting</p> <p>mhh.fight = Number of observations of two male hihi fighting</p> <p>fhh.fight = Number of observations of two female hihi fighting </p> <p>hihi.forced.copulation.fight = Number of observations of a male hihi instigating forced copulation onto a female hihi and resulting fight of female struggling to get away</p> <p>korimako.copulation = Number of observations of a female korimako and a male korimako engaging in copulation</p> <p>mkm.display = Number of observations of male korimako displaying</p> <p>fkm.display = Number of observations of female korimako displaying</p> <p>mhh.display = Number of observations of male hihi displaying</p> <p>fhh.display = Number of observations of female hihi displaying</p> <p>notes = Any notes relevant to the recording, such as, start or end time of the recording, presence of tūī (<em>Prosthemadera novaeseelandiae</em>), etc.</p>
Identification of high-wind features within extratropical cyclones using a probabilistic random forest - Part 2: Climatology - Video Supplement
<p>These videos provide examples of application of RAMEFI (RAndom-forest based MEsoscale wind Feature Identification) for winter storm cases between 2000 and 2019 and an animation of cyclone-relative occurrence (cf. Fig. 7 of 10.5194/wcd-2023-10).</p>
Supplemental Files for "A highly contiguous genome assembly reveals sources of genomic novelty in the symbiotic fungus Rhizophagus irregularis"
<p>Supplemental files for "A highly contiguous genome assembly reveals sources of genomic novelty in the symbiotic fungus Rhizophagus irregularis". This data is linked to the bioRxiv pre-print doi: https://doi.org/10.1101/2022.10.19.511543, an updated version of which is in press at G3: Genes|Genomes|Genetics, and corresponds to the NCBI BioProject PRJNA885267 and NCBI BioSample SAMN31081226.</p> <p> </p> <p><strong>Nuclear genome assembly</strong></p> <p>Rhizophagus_irregularis_DAOM197198_assembly.fasta</p> <p> </p> <p><strong>Illumina and Illumina+Nanopore gene annotations</strong></p> <p>Rhizophagus_irregularis_DAOM197198_Illumina+ONT_curated.gff3</p> <p>Rhizophagus_irregularis_DAOM197198_Illumina_curated.gff3</p> <p> </p> <p><strong>Illumina and Illumina+Nanopore functional gene annotations</strong></p> <p>Rhizophagus_irregularis_DAOM197198_annotations_Illumina+ONT.txt</p> <p>Rhizophagus_irregularis_DAOM197198_annotations_Illumina.txt</p> <p> </p> <p><strong>Illumina and Illumina+Nanopore CDS sequences</strong></p> <p><span>Rhizophagus_irregularis_DAOM197198_cds-transcripts_Illumina+ONT_curated.fa</span></p> <p>Rhizophagus_irregularis_DAOM197198_cds-transcripts_Illumina_curated.fa</p> <p> </p> <p><strong>Illumina and Illumina+Nanopore mRNA sequences</strong></p> <p>Rhizophagus_irregularis_DAOM197198_mrna-transcripts_Illumina+ONT_curated.fa</p> <p>Rhizophagus_irregularis_DAOM197198_mrna-transcripts_Illumina_curated.fa</p> <p> </p> <p><strong>Illumina and Illumina+Nanopore protein sequences</strong></p> <p><span>Rhizophagus_irregularis_DAOM197198_proteins_Illumina+ONT_curated.fa</span></p> <p>Rhizophagus_irregularis_DAOM197198_proteins_Illumina_curated.fa</p> <p> </p> <p><strong>GO terms for g:Profiler</strong><br> Rhizophagus_irregularis_DAOM197198_Illumina+ONT_GOterms.gmt<br> *Or use token gp__xfGY_dQeI_yx4</p> <p> </p> <p><strong>Repetitive and transposable element library and annotation</strong></p> <p>Rhizophagus_irregularis_DAOM197198_curatedrepeatlibrary.fasta</p> <p>Rhizophagus_irregularis_DAOM197198_repeatmasker.out</p> <p>Rhizophagus_irregularis_DAOM197198_repeats.gff3</p> <p> </p> <p><strong>DNA methylome (sequenced from spores)</strong></p> <p>Rhizophagus_irregularis_DAOM197198_mCG_mods_frequency.tsv</p> <p> </p> <p><strong>Poly(A) signal and tail sequences</strong></p> <p>Rhizophagus_irregularis_DAOM197198_pasa_polyAsite_analysis.out</p> <p>Rhizophagus_irregularis_DAOM197198_pasa_polyAsites.fasta</p> <p> </p> <p><strong>Small RNA annotation</strong></p> <p>Rhizophagus_irregularis_DAOM197198_sRNA.gff3</p> <p>Rhizophagus_irregularis_DAOM197198_sRNA.tsv</p> <p> </p> <p><strong>Mitochondrial genome assembly and annotation</strong></p> <p>Rhizophagus_irregularis_DAOM197198_mtDNA.fasta</p> <p>Rhizophagus_irregularis_DAOM197198_mtDNA.gff</p> <p> </p> <p><strong><em>R. irregularis</em> phylostratigraphy</strong></p> <p>Rhizophagus_irregularis_DAOM197198_1432141_phyloranks.tsv</p> <p>Rhizophagus_irregularis_DAOM197198_1432141_high-confidence_phyloranks.tsv</p> <p> </p> <p><strong>Mucoromycota fungi phylostratigraphy</strong></p> <p>Disdec1_101101_phyloranks.tsv</p> <p>Geopyr1_50956_phyloranks.tsv</p> <p>Gigmar1_4874_phyloranks.tsv</p> <p>Morel2_1314771_phyloranks.tsv</p> <p>Phybl2_4837_phyloranks.tsv</p> <p>Radspe1_64574_phyloranks.tsv</p> <p> </p> <p><strong>Fatty acid synthase phylogeny</strong></p> <p>FAS_genes_muscle5_msa.fa (alignments)</p> <p>FAS_genes.raxml.support (ML tree)</p>
Supplemental Data for Architector for high-throughput cross-periodic table 3D complex building
<p>This repository contains all of the data presented in either the main text or the SI for the manuscript "<strong><em>Architector</em> for high-throughput cross-periodic table 3D complex building</strong>".</p>
Data and Supplemental Data from Radwin et al. "Southwestern Australia Acid-Saline Mineralogy: Observations from Reflectance Spectroscopy"
<p>These data are part of Radwin et al., "Southwestern Australia Acid-Saline Mineralogy: Observations from Reflectance Spectroscopy", submitted to IEEE TGRS in 2022. This work was supported in part by the National Aeronautics and Space Administration through the Solar System Workings program grant 80NSSC19K0552, and by the National Science Foundation grants from the Sedimentary Geology and Paleobiology Program (EAR-0719822, EAR-0719838 and EAR-0719892).</p> <p>Included in this dataset are ten separate downloadable files:</p> <p>1) RADWIN_2022_ACID_SALINE_SPECTRA.xlsx is an Excel spreadsheet containing all of the continuum-removed spectra utilized and an appendix organizing the data.</p> <p>2) RADWIN_2022_ACID_SALINE_POLYFIT_IRON_SPECTRA.xlsx is an Excel spreadsheet containing all of the polynomial fit continuum-removed iron spectra between ~800-1200 nm.</p> <p>3) RADWIN_2022_HYMAP_DATA.rar is a folder containing Envi files (with associated image metadata, such as bad-band-list) for the HyMap imagery of Lake Brown and the Twin Lakes region.</p> <p>4) RADWIN_2022_WA_SEDS_XRF_DATA.xlsx contains supplemental pXRF data.</p> <p>5) Radwin_Supplemental_XRD_LA1_Data.xlsx contains supplemental XRD data from the Lake Aerodrome LA2 core dataset (LA1 on filename is a typo).</p> <p>6) SAM Classification Maps.zip contains the classification map files.</p> <p>7) SAM Rule Images & Stats.zip contains rule images and class statistics from the SAM classification maps.</p> <p>8) SAM_Processing_Log.xlsx contains the specifications used for the SAM classification maps when using ENVI.</p> <p>9) SAM_Training_Data_Shapefiles.zip contains shapefiles that designate the training class data for the 7 classification map classes.</p> <p>10) XRF_Spectra_Matched_Sample_Photos_For_Reference.docx contains photos of the samples that were analyzed with pXRF.</p> <p> </p>
Supplemental Data for Schalich et al.: The Uterine Secretory Cycle
<p>This dataset file contains supplemental Table S1 with several spreadsheets that describe the changing uterine microenvironment during the estrous cycle and early preimplantation stages of pregnancy in cattle. These data were acquired and organized as part of a report entitled "<strong>The uterine secretory cycle: recurring physiology of endometrial outputs that setup the uterine luminal microenvironment</strong>"</p>
Data Supplement: GIRFReco.jl: An Open-Source Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia
<p><strong>Dataset for GIRFReco.jl Paper</strong><br> <br> Please download this and extract to an appropriate location prior to running the demonstration code in GIRFReco.jl. The extracted folder will serve as the root directory in the demo code.</p>
Supplemental Material 2023: Bone turnover in lactating and nonlactating women
<p><strong>Suppl. Fig 1 </strong>Serum total Ca (<strong>A</strong>) and Serum P (<strong>B</strong>) at the respective visit. Exclusively breastfeeding (exc-bf) and nonexclusively breastfeeding (nonexc-bf) mothers were compared with controls at each visit. Results of multivariate analyses. Grey lines indicate reference levels. Total Ca and P levels were significantly higher in exc-bf and nonexc-bf mothers compared with controls (all <em>p</em>s < .001).</p> <p> </p> <p><strong>Suppl. Table 1 </strong>Case numbers of the lactation and control cohorts depending on the parameter measured.</p> <p><strong>Suppl. Table 2</strong> Means (SD) are presented for each parameter for the respective cohort and visit. </p>
Fast prediction in marmoset reach-to-grasp movements for dynamic prey - Reach Data and Supplemental Video
<p>Supplemental video and data corresponding to Shaw, L., Wang, K.H., Mitchell, J. (2023) Fast prediction in marmoset reach-to-grasp movements for dynamic prey.</p> <p>1. Video Files</p> <p>MarmoReach 1 is an illustrative example.</p> <p>MarmoReach 2 illustrates the reaching trial shown in Figure 3D.</p> <p>MarmoReach 3-5 are example reach to grasps from grasp clusters found in Figure 2. </p> <p>2. Data</p> <p>marmo_reach_model.mat is a Matlab struct.</p> <p>2D position data of hand and cricket used for analyses related to Figure 3 and Figure 4. </p> <p>x.hand,y.hand = position data of the central hand marker for each trial.</p> <p>x.cricket,y.cricket = position data of the cricket marker for each trial.</p> <p>x.cricketexfull,y.cricketexfull = position data of the cricket marker preceding reach onset for delay analyses. </p> <p>To reconstruct cricket position from beginning to end with the inclusion of the exfull data (prior to reach to reach end) for the second reach, for example, [model.x.cricketexfull{2}' model.x.cricket{2}'].</p> <p> </p>
Figure 13 in Ontogeny of South African intertidal oribatid mite species (Acari, Oribatida, Ameronothroidea) and supplements to adult morphology.
Figure 13 Halozetes capensis Coetzee & Marshall, 2003, Kommetjie, A. larva, dorsal view, B. larva, ventral view, C. protonymph, dorsal view, D. protonymph, ventral view.
Figure 12 in Ontogeny of South African intertidal oribatid mite species (Acari, Oribatida, Ameronothroidea) and supplements to adult morphology.
Figure 12 Halozetes capensis Coetzee & Marshall, 2003, Nature's Valley, Adult (legs omitted). A. dorsal view, B. ventral view, C. chelicera, D. lateral view.
Figure 10 in Ontogeny of South African intertidal oribatid mite species (Acari, Oribatida, Ameronothroidea) and supplements to adult morphology.
Figure 10 Schusteria ugraseni Marshall & Pugh, 2000, Winterstrand, A. larva, dorsal view, B. larva, ventral view, C. protonymph, dorsal view, D. protonymph, ventral view.
Figure 11 in Ontogeny of South African intertidal oribatid mite species (Acari, Oribatida, Ameronothroidea) and supplements to adult morphology.
Figure 11 Schusteria ugraseni Marshall & Pugh, 2000, Winterstrand, A. deutonymph, dorsal view, B. deutonymph, ventral view, C. tritonymph, dorsal view, D. tritonymph, ventral view.
Figure 14 in Ontogeny of South African intertidal oribatid mite species (Acari, Oribatida, Ameronothroidea) and supplements to adult morphology.
Figure 14 Halozetes capensis Coetzee & Marshall, 2003, Nature's Valley, A. deutonymph, dorsal view, B. deutonymph, ventral view, C. tritonymph, dorsal view, D. tritonymph, ventral view.
Figure 7 Selenoribates divergens Pfingstl, 2015. A in Ontogeny of South African intertidal oribatid mite species (Acari, Oribatida, Ameronothroidea) and supplements to adult morphology.
Figure 7 Selenoribates divergens Pfingstl, 2015. A. deutonymph, dorsal view, B. deutonymph, ventral view, C. tritonymph, dorsal view, D. tritonymph, ventral view.
Figure 9 in Ontogeny of South African intertidal oribatid mite species (Acari, Oribatida, Ameronothroidea) and supplements to adult morphology.
Figure 9 Schusteria ugraseni Marshall & Pugh, 2000. Adult, legs, Sheffield Beach A. leg I, right, paraxial view, B. leg II, left, antiaxial view, C. leg III, right, paraxial view, D. leg IV, right, paraxial view.
Figure 8 in Ontogeny of South African intertidal oribatid mite species (Acari, Oribatida, Ameronothroidea) and supplements to adult morphology.
Figure 8 Schusteria ugraseni Marshall & Pugh, 2000. Neotype, adult, Sheffield Beach. A. dorsal view (legs omitted), B. ventral view (legs omitted), C. lateral view (legs and some ventral setae omitted).
Figure 6 Selenoribates divergens Pfingstl, 2015. A in Ontogeny of South African intertidal oribatid mite species (Acari, Oribatida, Ameronothroidea) and supplements to adult morphology.
Figure 6 Selenoribates divergens Pfingstl, 2015. A. larva, dorsal view, B. larva, ventral view, C. protonymph, dorsal view, D. protonymph, ventral view.
Figure 3 in Ontogeny of South African intertidal oribatid mite species (Acari, Oribatida, Ameronothroidea) and supplements to adult morphology.
Figure 3 Fortuynia elamellata micromorpha Marshall & Pugh, 2002, Sheffield Beach, A. larva, dorsal view, B. larva, ventral view, C. protonymph, dorsal view, D. protonymph, ventral view.
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.