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824 results for “Discrimination”
Confidence in Detection and Discrimination
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PsPM-TC: SCR, ECG, EMG and respiration measurements in a discriminant trace fear conditioning task with visual CS and electrical US.
<p>This dataset includes skin conductance response (SCR), electrocardiogram (ECG) and respiration measurements. Also included are CS and US information, keypress responses and keypress response times from 18 healthy unmedicated participants (8 males and 10 females aged 23.89+/-2.52 years) participating in a classical (Pavlovian) discriminant trace fear conditioning task. CS were a red and a blue rectangle presented for 3 seconds. US consisted of 0.5 s square electric pulses with 0.2 ms duration and 10 Hz frequency. SOA between the CS onset and US was 4 s. The ITI was randomly determined on each trial to be 7, 9, or 11 s.</p>
PsPM-FER01: PSR, SCR, ECG and respiration measurements from a discriminant delay fear conditioning task with visual CS and electrical US.
<p>This dataset includes pupil size response (PSR), skin conductance response (SCR), electrocardiogram (ECG) and respiration measurements. Also included are CS and US information and shock expectancy ratings at the end of the experiment for 30 healthy unmedicated participants (12 males and 18 females aged 23.9+/-4.4 years) participating in a classical (Pavlovian) discriminant delay fear conditioning task. Fear acquisition consisted of 10 CS- and 32 CS+ trials (16 CSa+/16 CSb+). Half of the CS+ trials were paired with an electric shock. CS were colored triangles (yellow/red/blue). US consisted of a 500 ms train of 250 square pulses with individual pulse width of 0.2 ms. SOA between the CS onset and US was 3.5 seconds. CS and US co-terminated. The ITI was randomly determined as discrete values between 7-11 seconds (mean 9 seconds).</p> <p> </p>
Ethnic Discrimination in the Swiss Labour Market
<p>Discrimination of ethnic minorities in hiring decisions in the labour market has become a common phenomenon. Across OECD countries ethnic minority applicants have to write approximately 50% more applications to be invited for a job interview compared to an equally qualified majority applicant. Little is known about the extent of discrimination in the Swiss Labour Market, since the last correspondence test conducted in Switzerland is more than 15 years old and targets only a very specific sector of the labour market - the transition from school to apprenticeships.<br> To fill this gap in knowledge on discrimination in the Swiss labour market, a new correspondence test was conducted. It measures discrimination in various occupations, against different ethnic minority groups, including candidates with German or French backgrounds, and looks at the differences and similarities between the German and French speaking regions in Switzerland.</p>
Experimental study dataset: "Enhancing Touch Sensibility by Sensory Retraining in a Sensory Discrimination Task via Haptic Rendering"
<p>Experimental study dataset: "Enhancing Touch Sensibility by Sensory Retraining in a Sensory Discrimination Task via Haptic Rendering."</p> <p>This research was supported by the Swiss National Science Foundation through the grant PP00P2 163800. This work was also supported by SENACYT and IFARHU, the Panamanian Government.</p> <p>Files and data to upload:</p> <ol> <li>Description of variables </li> <li>Continue robot data </li> <li>Discontinue robot data </li> <li>Questionnaire data </li> </ol> <p> </p>
PsPM-DoxMem2: Pupil, SCR, ECG, EMG and respiration measurement in a classical pavlovian discriminant delay fear conditioning task, reminder under doxycycline/placebo, retention and re-learning
<p>This dataset includes eyetracker, skin conductance response (SCR), electrocardiogram (ECG), respiration and electromyogram (EMG, only relevant for retention phase) measurements. Also included are CS and US information, keypress responses and keypress response times for 79 healthy participants (40 males and 39 females aged 24.8+/-4.9 years). Participants underwent a classical (Pavlovian) discriminant delay fear conditioning task with 1 CS- and 2 CS+ (50% reinforcement), were reminded of one CS+ one week later under either doxycycline or placebo, and were tested in a retention/extinction and re-learning task another week later. CS were isoluminant coloured triangles. US consisted of 0.5 s square electric pulses with 0.2 ms duration and 500 Hz frequency. SOA between the CS onset and US was 3.5 s. CS and US co-terminated. Before the fear conditioning task, participants completed several questionnaires. During the retention/extinction phase, an auditory startle probe (ST) and no US was delivered 3.5 s after CS onset via headphones (102 dB, 40 ms duration with 2 ms on- and offset ramp). In an immediately following re-learning phase, the ST was omitted and the CS reinforced with the same schedule as during acquisition. The ITI was randomly determined on each trial to be 7, 9, or 11 s.</p> <p> </p>
Discrimination of Classical and Atypical BSE by a Distinct Immunohistochemical PrPSc Profile
<p>Bovine spongiform encephalopathy (BSE) is a fatal neurodegenerative disease in cattle belonging to the group of transmissible spongiform encephalopathies. Hallmark of the disease is the accumulation of the pathological prion protein (PrPSc) in the brain. Classical BSE (C-type) and two atypical BSE forms (L- and H-type) are known, and can be discriminated by biochemical characteristics. The data presented here underline that immunohistochemistry can also be used to identify type-specific PrPSc profiles which can be used for discriminatory purposes. For this brain samples from 21 cattle, intracerebrally inoculated with C-, H-, and L-type BSE, were used as well as three orally C-type BSE infected animals. Using six brain regions distinct lesion (H&E staining) and PrPSc profiles were determined. While the neuroanatomical distribution of lesions and the PrPSc accumulation were highly consistent between the groups, the topographic and cellular PrPSc profile revealed characteristic pattern for the different BSE types.</p>
Dataset for 'Room-temperature monitoring of CH4 and CO2 using a metal-organic framework-based QCM sensor showing inherent analyte discrimination'
<p>Associated data for the manuscript 'Room-temperature monitoring of CH4 and CO2 using a metal-organic framework-based QCM sensor showing inherent analyte discrimination' (doi://10.26434/chemrxiv-2023-djhp2)</p> <p> </p> <p> </p>
Data to reproduce analysis in "Systematic analysis of transcriptional and epigenetic effects of genetic variation in Kupffer cells enables discrimination of cell intrinsic and environment-dependent mechanisms"
<p>Here you can find the datasets necessary to reproduce all analyses described in the Glass lab paper by <a href="https://www.biorxiv.org/content/10.1101/2022.09.22.509046v1">Bennett et al</a>. The python and R code for reproducing analysis and figures can be found on our linked <a href="https://github.com/HunterBennett/KupfferCell_NaturalGeneticVariation">github repository.</a></p> <p>Briefly, this paper explores the effect of natural genetic variation <em>in vivo</em>, using Kupffer cells as a model cell type. We collect and analyze transcriptional and epigenetic data (ATAC-seq, H3K27Ac ChIP-seq) to identify putative <em>trans</em> regulators driving differential gene expression across inbred strains of mice. Additionally, we provide evidence that <em>trans</em> effects control a majority of strain differential genes at homeostasis while <em>cis</em> effects dominate the transcriptional response to an external signal (lipopolysaccharide).</p> <p>References:</p> <p>Hunter Bennett, Ty D. Troutman, Enchen Zhou, Nathanael J. Spann, Verena M. Link, Jason S. Seidman, Christian K. Nickl, Yohei Abe, Mashito Sakai, Martina P. Pasillas, Justin M. Marlman, Carlos Guzman, Mojgan Hosseini, Bernd Schnabl, Christopher K. Glass bioRxiv 2022.09.22.509046; doi: <a href="https://doi.org/10.1101/2022.09.22.509046">https://doi.org/10.1101/2022.09.22.509046</a></p> <p> </p>
Discrimination of aluminum from silicon by electron crystallography with the JUNGFRAU detector
<p>Electron diffraction data of two different aluminosilicates, zeolite A and albite. They were used to implement the JUNGFRAU detector (PSI Switzerland) at Vienna University, and develop the software for data conversion and data collection. The archives also contain the XDS files for processing. The metadata of the CBF-files mostly not filled in properly (pixel size and wavelength only are correct). Please refer to the XDS.INP files for experimental parameters (oscillation width, detector distance, etc.). The structural CIF files have been submitted to the Cambridge Structural Database CSD.</p>
Tone Discriminator Evolved on iCE40 FPGA
<p>Data created by an experiment that evolved a tone discriminator on an iCE40 FPGA. The experiment was originally conducted by Adrian Thompson on an Xilinx XC6200 FPGA in 1997. This is the reproduction on a modern FPGA.</p> <p> </p> <p>The tone discriminator is a circuit on the FPGA that creates a 3.3 V output signal if presented with a 10 kHz square wave input and a 0 V output signal for a 1 kHz input signal. The circuit was evolved with a Genetic Algorithm and evaluated in three ways:</p> <ol> <li>Clamping: Iterative process to evaluate which cells in the circuit contribute dynamically to the output. A random cell is chosen a and its output set to a random constant value. Afterwards the fitness of the circuit is measured. If it decreases by less than 1 %, the cell is kept clamped, else reset to its original state.</li> <li>Temperature dependence: The FPGA with the circuit was cooled or heated to different temperatures and presented with different input frequencies. The output was averaged over 5 s.</li> <li>Location dependence: The circuit was moved to a different location o the FPGA. The Genetic Algorithm was then continued for additional 200 generations.</li> </ol> <p> </p> <p>This upload contains four groups of files:</p> <ol> <li>experiment.h5 <ul> <li>All measurements and chromosomes from the original run of the Genetic Algorithm</li> </ul> </li> <li>clamping.h5 <ul> <li>All measurements of the clamping process</li> </ul> </li> <li>temperature-XX.h5 <ul> <li>All measurements for a different temperature</li> <li>XX is the temperature in degree Celsius</li> </ul> </li> <li>new_location-X.h5 <ul> <li>All measurements and chromosomes for the continued Genetic Algorithm at a new location on the FPGA</li> <li>X is the running number for hundred generations in the file, e.g. 2 contains generations 101 to 200</li> </ul> </li> </ol> <p> </p> <p> </p> <p>Errata:</p> <ul> <li>The timestamps for the temperature measurements are missing in all files but experiment.h5.</li> </ul> <p> </p>
Discrimination of textures with spatial correlations and multiple gray levels
<p>This upload contains supporting psychophysical and modeling data for Victor, J.D., Rizvi, S.M, Bush, J.W., and Conte, M.M. (2023) Discrimination of textures with spatial correlations and multiple gray levels. J. Opt. Soc. Am. A 40, 237-258, and Victor, J.D., Thengone, D.J., Rizvi, S.M., and Conte, M.M. (2015) A perceptual space of local image statistics. Vision Research 117, 117-135. Please see the docx files in this upload, and the above papers, for further information.</p>
Psychophysical thresholds for figure-ground discrimination driven by binary textures
<p>Documentation and matlab data files containing psychophysical data for figure-ground segregation driven by binary textures. Methodological details of measurements and analyses (along with interpretation) are provided in Victor, J.D., and Conte. M.M. (2022) Functional recursion of orientation cues in figure-ground separation. Vision Research 197, 108047, doi.org/10.1016/j.visres.2022.108047.</p>
Dataset for A Novel Spectroscopic Approach for Vaseline Quality Discrimination
<p>This dataset contains spectroscopic measurement data and Orange project files used in the INDIN 2023 paper "A Novel Spectroscopic Approach for Vaseline Quality Discrimination".<br> <br> The paper only discusses the analysis using 2 principal components.</p>
The medial temporal lobe supports mnemonic discrimination for event duration
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Fig. 2 in Discrimination of habitat use between two sympatric species of mullets, Mugil curema and Mugil liza (Mugiliformes: Mugilidae) in the rio Tramandaí Estuary, determined by otolith chemistry
Fig. 2. Means and standard deviations (SD) of (a) Sr86:Ca43 (mmol.mol-1); and (b) Ba137:Ca43 ratio (µmol.mol-1) in otoliths of the inner 20 measurements (core) and the outer 20 measurements (edge) of Mugil curema and M. liza caught in the Tramandaí River Estuary, Brazil. Different letters within a spruce stand denote significant differences between species (Mann-Whitney U test, p<0.05).
Fig. 4 in Discrimination of habitat use between two sympatric species of mullets, Mugil curema and Mugil liza (Mugiliformes: Mugilidae) in the rio Tramandaí Estuary, determined by otolith chemistry
Fig. 4. Otolith transects of Mugil liza measured by LA-ICP-MS from the core to the edge. Ba137:Ca43 (line) and Sr86:Ca43 (dashed line). The identification code and total length (mm) of each fish are indicated on the graph.
Fig. 3 in Discrimination of habitat use between two sympatric species of mullets, Mugil curema and Mugil liza (Mugiliformes: Mugilidae) in the rio Tramandaí Estuary, determined by otolith chemistry
Fig. 3. Otolithtransectsof Mugilcurema measuredbyLA-ICP-MSfromthecoretotheedge. 43 (line) 86 43 (dashedline). Theidentificationcodeand totallength (mm) ofeachfishareindicatedonthegraph.
FIG. 14. — A in Contribution des motifs colorés résiduels dans la discrimination d'espèces nouvelles de Cryptochorda Mörch 1858 Mollusca: Gastropoda: Harpidae de l'Éocène du bassin de Paris et du Cotentin
FIG. 14. — A, Cryptochorda (s.str.) altavesna n. sp. Lutétiende Parnes (Oise). MNHN.F.A57647 (coll. Brongniart), H.: 45,5 mm; B -D, étiquettes originales de la collection Brongniart; E, Cryptochorda (s.str.) stromboides (Hermann, 1781), Lutétien de Thiverval-Grignon (Yvelines). MNHN.F.A57591 (coll. Brongniart), H.: 49,4 mm; F, Cryptochorda (s.str.) altavesna n. sp. Figure originalede Buccinum stromboides « variété a » Deshayes, 1835. D'après Deshayes (1853).
FIG. 13. — A-G in Contribution des motifs colorés résiduels dans la discrimination d'espèces nouvelles de Cryptochorda Mörch 1858 Mollusca: Gastropoda: Harpidae de l'Éocène du bassin de Paris et du Cotentin
FIG. 13. — A-G, Cryptochorda (s.str.) cosediensis n. sp. A-D, Lutétiende Fresville (Manche); E-G, Lutétiende Hautteville-Bocage (Manche). A, Holotype MNHN.F.B65189 (coll. de Morgan), H.: 49,8 mm; B, Paratype MNHN.F.A71456 (coll. de Morgan), H.: 35,5 mm; C, Paratype MNHN.F.A71457 (coll. de Morgan), H.: 44,3 mm; D, Paratype MNHN.F.A05108 (coll. Le Marchand), H.: 39,2 mm; E, spécimen juvénile, MNHN.F.A71458, H.: 19,1 mm; F, spécimen juvénile, MNHN.F.A71459, H.: 30,7 mm; G, MNHN.F.A71458, protoconque. Échelle: G, 2 mm.
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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.