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400 results for “fingerprints”
Technical note: Refining δ15N isotopic fingerprints of local NOx for accurate source identification of nitrate in PM2.5
<p>Data</p>
Investigating species composition in the Early Aurignacian of Le Piage (France) through collagen fingerprinting (ZooMS) of screen-recovered small bone fragments
<p>This link supplements the paper "Investigating species composition in the Early Aurignacian of Le Piage (France) through collagen fingerprinting (ZooMS) of screen-recovered small bone fragments" published in Paleoanthropology (https://paleoanthropology.org/ojs/index.php/paleo)</p> <p>We analysed with ZooMS (Zooarchaeology by mass Spectrometry) 1,050 bone fragments recovered through water sieving from an Early Aurignacian layer (37–34 ka cal. BP) in the site of Le Piage (Lot, France) to compare the taxonomic identifications of bone remains using traditional morphological attributes with remains identified using ZooMS, and discuss the implications of the taxonomic patterns that we uncovered. </p> <p>This page contains mzXml files of the spectra obtained and analysed within the scope of the published paper. The files are classified by runs, and the excel sheet entitled "Sample location (spectrum n°) in MS analyses" stipulates which mzXML files correspond to which specimen. This page also contains the simplified database reporting the identifications obtained through peptide mass fingerprinting (PMF) and a breakdown of deamidation values calculated with the Betacalc 3 published in Wilson et al. (2012).</p> <p><span><span>For any questions please contact Pauline Raymond (pauline.raymond@college-de-france.fr).</span><br><span>Please use the DOI when citing this dataset. </span></span></p>
Results on the influence of head model on MEG brain fingerprinting
<p>Different metrics for brain fingerprinting from MEG recordings obtained with different connectivity measures and with different strategies to deal with the head model.</p> <p>Identifiability matrices from which these metrics were obtained.</p> <p>Code and more info at https://github.com/MatthiasSchelf/brain-fingerprinting/tree/main</p>
Figure 2 from: Jażdżewska AM, Corbari L, Driskell A, Frutos I, Havermans C, Hendrycks E, Hughes L, Lörz A-N, Stransky B, Tandberg AHS, Vader W, Brix S (2018) A genetic fingerprint of Amphipoda from Icelandic waters – the baseline for further biodiversity and biogeography studies. In: Brix S, Lörz A-N, Stransky B, Svavarsson J (Eds) Amphipoda from the IceAGE-project (Icelandic marine Animals: Genetics and Ecology). ZooKeys 731: 55–73. https://doi.org/10.3897/zookeys.731.19931
Figure 2 Neighbour-joining (NJ) tree of COI sequences (Suppl. material 1) based on Kimura 2-parameter. Triangles indicate the relative number of individuals studied (height) and sequence divergence (width). The asterisk (*) symbolizes taxa having already published sequences in BOLD/GenBank identified to species level. The numbers in front of the nodes indicate bootstrap support (1000 replicates, only values higher than 50% are presented). The vertical bars represent species delimitations taxonomies obtained from morphology and different species delimitation methods. The same colour indicates the same nominal species. Only the cases where incongruence between different delimitation methods were observed are shown. Note that this tree is not the reconstruction of evolutionary history of presented taxa.
Figure 1 from: Jażdżewska AM, Corbari L, Driskell A, Frutos I, Havermans C, Hendrycks E, Hughes L, Lörz A-N, Stransky B, Tandberg AHS, Vader W, Brix S (2018) A genetic fingerprint of Amphipoda from Icelandic waters – the baseline for further biodiversity and biogeography studies. In: Brix S, Lörz A-N, Stransky B, Svavarsson J (Eds) Amphipoda from the IceAGE-project (Icelandic marine Animals: Genetics and Ecology). ZooKeys 731: 55–73. https://doi.org/10.3897/zookeys.731.19931
Figure 1 Sampling stations. Depth contours are the following: 500 m, 1000 m, 1500 m, 2000 m, 2500 m, 3000 m. Station details are in Suppl. material 1.
Chemical Profiles of Shexiang Tongxin Dropping Pill Based on HPLC Fingerprints Combined with HPLC-Q-TOF-MSMS Method
<p>supporting information</p>
Dataset:Ray and Halo impact craters on Ganymede : fingerprint for decoding Ganymede´s crustal structure
<p>The geological basemap used in the study is from Kersten et al., 2021. </p>
Appendix C of "Unveiling the chemical fingerprint of phosphorus-rich stars"
<p>Additional line plots</p>
Magnetic Resonance Fingerprinting at 100mT with OPTIMUM: in vivo Healthy Hand Data with Dictionaries
Open the record for dataset details and reuse information.
Normalized fingerprints for top 930 reservoirs
Open the record for dataset details and reuse information.
Figure 11 in Environmental control versus phylogenic fingerprint in ontogeny: The example of the development of the stalk in the genus Guillecrinus (stalked crinoids, Echinodermata)
Figure 11. Axial cross-sections of the columnals, and distal end of basals of Guillecrinus neocaledonicus. (a–c) Axial cross-sections of specimen N6: (a) columnal 4; (b) columnal 13; (c) distal columnal, showing the growth in diameter of the axial canal by resorption of the perilumen stereom (arrows). (d) Distal facet of a basal of adult specimen N6. (e) Distal facet of a basal of juvenile specimen N5. Dp, ligamentary depression; ca, axial canal; a, galleried stereom; b, labyrinthic stereom. Scale bars: 1 mm (a–c); 0.5 mm (d, e).
Figure 14 in Environmental control versus phylogenic fingerprint in ontogeny: The example of the development of the stalk in the genus Guillecrinus (stalked crinoids, Echinodermata)
Figure 14. Distal columnals of Guillecrinus reunionensis. (a–d, f) Specimen R4. (a, b) 15th columnal; (c, d) 11th columnal; (f) 5th columnal; numbering from the fixation disc proximally. (b–d) Growth in the axial canal through resorption of the peripheric stereom. (e) Specimen R5. Scale bars: 1 mm.
The Fingerprint of Climate Variability on the Surface Ocean Cycling of Iron and its Isotopes
<p>Monthly-average netcdf output files on the ORCA2 grid of NEMO/PISCES Fe isotope model experiments run under variable climatic conditions.</p>
Fig. 5. Synchronized 2D in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 5. Synchronized 2D PCA score plot of all 18 samples of Ganoderma mushroom.
Fig. 4. Synchronized 3D in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 4. Synchronized 3D PCA plot of all 18 samples of Ganoderma mushroom.
Fig. 3 in Metabolic fingerprinting of banana passion fruits and its correlation with quorum quenching activity
Fig. 3. Barcoding of primary metabolites for banana passion fruit species.
Single virus fingerprinting by widefield interferometric defocus-enhanced mid-infrared photothermal microscopy
<p>Raw imaging data, MATLAB codes and guidelines for BEM simulation in the maniscript.</p>
Data for sensitivity of AMOC fingerprint
Open the record for dataset details and reuse information.
Feasibility and Clinically Application of Magnetic Resonance Fingerprinting
ClinicalTrials.gov study NCT02387840. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Metabolomic Fingerprint After Bariatric Surgery
ClinicalTrials.gov study NCT02480322. IPD Sharing: Not stated. Countries: 0. Publications: 1.
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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.