Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
6,498
datasets available to search
ShareScore release 0.9.0
Dataset results
6,498 results for “Physicality”
Fig. 3 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil
Fig. 3. Frequencies of habitat availability by classes of depth (m), mean velocity (m/s) and type of substrate (1- large boulder; 2- boulder; 3- cobble; 4- gravel; 5- fine gravel; 6- sand and 7- vegetation), obtained by direct survey in the riacho São Pedro.
Fig. 1 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil
Fig. 1. Map of the rio Guandu basin, with indication of the studied reach in riacho São Pedro. Solid dash = small substation of CEDAE (Water and Sewer Treatment Works of Rio de Janeiro State). WTP: Water Treatment Plant.
Fig. 2 in Application of the physical habitat simulation for fish species to assess environmental flows in an Atlantic Forest Stream in South-eastern Brazil
Fig. 2. Isometric view of the cross-sections in the two target reaches of the riacho São Pedro. Grey color indicates water; solid line indicates the contour of the cross-section (in wet areas and banks).
Figure 2 in Changes in galling insect community on Caryocar brasiliense trees mediated by soil chemical and physical attributes
Figure 2. Principal components regressions among: (A) Eurytoma sp. galling insect adults (Eur.) with phosphorus-Mehlich 1 (mg dm-3) contents (P.C.) and silt (dag kg-1) (Si.); (B) numbers of Eurytoma sp. glodoid galls (E.G.G.) with pH in water, capacity of cationic exchange (cmol dm-3) (C.C.E.), and P.C.; (C) area (mm2) of Eurytoma sp. glodoid galls (A.E.G.) with pH and clay (dag kg-1) (Cl.); (D) c length of conglomerate of Eurytoma sp. globoid galls (L.G.E.) with pH and Cl.; (E) width of conglomerate of Eurytoma sp. globoid galls (W.G.E.) with pH and Cl.; and (F) number of Hymenopteran discoid galls (H.D.G.) with aluminum (cmol dm-3) contents (A.C.), C.C.E., c and percentage of soil base saturation of the capacity of cationic exchange to pH 7.0 (S.B.S.) on Caryocar brasiliense trees in three years. The symbols represent the averages and the bars the standard errors. n = 111.
Figure 1 in Changes in galling insect community on Caryocar brasiliense trees mediated by soil chemical and physical attributes
Figure 1. Principal components regressions among: (A) abundance of galling insects (A.G.I.) with phosphorus-Mehlich 1 (mg dm-3) contents (P.C.) and sand (dag kg-1) (Sa.); (B) species richness of galling insects (S.R.G.I.) with capacity of cationic exchange (cmol dm-3) c (C.C.E.); (C) diversity of galling insects (D.G.I.) with C.C.E. and Sa.; (D) percentage of galled leaflet by all galls (P.G.L.) with pH in water and clay (dag kg-1) (Cl.); and (E) percentage of leaflet area taken by all galls (P.L.A.G.) with aluminum (cmol dm-3) contents (A.C.) and c C.C.E. on Caryocar brasiliense trees in three years. The symbols represent the averages and the bars the standard errors. n = 111.
Figure 4 in Changes in galling insect community on Caryocar brasiliense trees mediated by soil chemical and physical attributes
Figure 4. Principal components regressions among: (A) abundance of predators (A.Pr.) with phosphorus-Mehlich 1 (mg dm-3) contents (P.C.) and clay (dag kg-1) (Cl.); (B) species richness of predators (S.R.Pr.) with number of Hymenoptera discoid galls (H.D.G.), species richness of parasitoids (S.R.P.), and Cl.; (C) diversity of predators (D.Pr.) with diversity of parasitoids (D.P.) and Cl.; (D) number of Zelus armillatus (Zar.) with P.C., percentage of soil base saturation of the capacity of cationic exchange to pH 7.0 (S.B.S.), silt (dag kg-1) (Si.), numbers of Eurytoma sp. glodoid galls (E.G.G.), and capacity of cationic exchange (cmol dm-3) (C.C.E.); (E) number of Epipolops sp. (Epi.) c with protocooperanting ants (Ants), Cl., and pH in water; and (F) number of spiders (Spi.) with Ants, P.C., and Si. on Caryocar brasiliense trees in three years. The symbols represent the averages and the bars the standard errors. n = 111.
Figure 6. Caspase 3 in Physical characterization and wound healing properties of Zamzam water
Figure 6. Caspase 3 levels of treatment groups. ***Extremely high significant at p <0.001 when compared to Group 1; **Highly significant lesser at p <0.01 on comparing with Group 2; ns: nonsignificant when compared to group 3 at p <0.05. Group 1: Normal control; Group 2: Disease control (wound without treatment); Group 3: Standard control (treatment with povidoneiodine cream); Group 4: Zamzam water treatment group.
Figure 7. A comparative wound healing study. A1 in Physical characterization and wound healing properties of Zamzam water
Figure 7. A comparative wound healing study. A1: Control animals, dorsal view of wound soon after creating on the 1st day; B1: Dorsal view of the wound after treating with povidone-iodine cream on 3rd day; C1: Dorsal view of the wound after treating with Zamzam water on 3rd day; A2: Control animals, dorsal view of the wound on 6th day; B2: Dorsal view of the wound after treating with povidoneiodine cream on 6th day; C2: Dorsal view of the wound after treating with Zamzam water on 6th day; A3: Control animals, dorsal view of the wound on 12th day; B3: Dorsal view of the wound after treating with povidone-iodine cream on 12th day; C3: dorsal view of the wound after treating with Zamzam water on 12th day.
Figure 2. Serum IL-1 in Physical characterization and wound healing properties of Zamzam water
Figure 2. Serum IL-1β level of treatment groups. *Significantly lesser at p <0.05 on comparing with Group 2; **Highly significant lesser at p <0.01 on comparing with group 2; ns: nonsignificant when compared to Group 3. Group 1: Normal control; Group 2: Disease control (wound without treatment); Group 3: Standard control (treatment with povidone-iodine cream); Group 4: Zamzam water treatment group.
Figure 1 in Physical characterization and wound healing properties of Zamzam water
Figure 1. Zeta potential analysis of Zamzam water. (A) Before exposure to open-air; (B) After exposure to open-air.
Figure 3. Serum IL-6 in Physical characterization and wound healing properties of Zamzam water
Figure 3. Serum IL-6 level of treatment groups. ***Extremely high significant at p <0.001; **Extremely significant at p <0.01 on comparing with Group 2; ns: nonsignificant when compared to Group 3. Group 1: Normal control; Group 2: Disease control (wound without treatment); Group 3: Standard control (treatment with povidone iodine cream); Group 4: Zamzam water treatment group.
Figure 5. Caspase 9 in Physical characterization and wound healing properties of Zamzam water
Figure 5. Caspase 9 levels of treatment groups. ***Extremely high significant at p <0.001 when compared to Group 1; **Significantly lesser at p <0.01 on comparing with Group 2; ns: nonsignificant on comparing with group 3 at p <0.05. Group 1: Normal control; Group 2: Disease control (wound without treatment); Group 3: Standard control (treatment with povidone-iodine cream); Group 4: Zamzam water treatment group.
Data and Code to Accompany: "On-Body Textile Hysteresis Estimation for Personalized Physical Human-Robot Interaction"
<p>Data files, Matlab code, and figures to accompany "On-Body Textile Hysteresis Estimation for Personalized Physical Human-Robot Interaction" (submitted for peer-review on 7/20/2024).</p>
BRAIN Journal-Isomorphism Between Estes' Stimulus Fluctuation Model and a Physical- Chemical System-Figure 1. Two compartments containing solution separated by a membrane.
<p>In fact, this equation will be found first if one consults physical or chemical textbooks for<br> diffusion. Also one may be able to find already-existing diffusion simulators to see vivid images of<br> the process.</p>
BRAIN Journal-Brain signal analysis using EEG and Entropy to study the effect of physical and mental tasks on cognitive performance-Figure 2. Energy-VAS subjective measures for the participants (n=12) under two conditions (control and exercise involved cognitive task).
<p>As shown in Figure 2, it was found that there was a statistically significant interaction in the<br> percentage of mental fatigue between the condition type and time-on-task factor times (F(6, 22) =<br> 492.19, p < 0.001) as well as there was a significant main effect of time-on-task (time5 to time30)<br> (F(5, 22) = 463.794, p < 0.001). In addition, there was also a significant main effect in the condition type (F (1, 22) = 713.133, p < 0.001) which represented a large effect size. For the physical fatigue<br> subjective measure, there was a significant difference between the two experimental conditions (p <<br> 0.001), and within the subject test times (p < 0.001). However, there was no significant difference<br> between the means of the concentration visual analogue scale for these two experimental conditions<br> (p = 0.057) despite a significant difference (p < 0.001) in the time-on-task repeated measures.</p>
BRAIN Journal-Brain signal analysis using EEG and Entropy to study the effect of physical and mental tasks on cognitive performance-Figure 1. The 10-20 international system electrode placement showing the EEG electrode placement
<p>For the EEG analysis, the average power in the theta band (4 – 8 Hz), and alpha band (8 – 12<br> Hz) were computed at the frontal and parietal electrodes Fz and Pz respectively. Next, the ratio of<br> these two powers was determined, and named the ‘cognitive ratio’ as several researchers found that<br> the fronto-parietal network play important roles in cognitive activities.</p>
Datasets for explanation of physical interpretation for locational marginal prices
<p>Matlab/Octave functions that extract the following information</p> <p>Initial: </p> <p>[rus] Исходная схема IEEE-30 в формате MATPOWER [1]. По сравнению с case30 cкорректированы ограничения на переток мощности в линиях.</p> <p>[eng] Initial case IEEE-30 in MATPOWER format [1]. With comparison with case30 line rates were corrected</p> <p>Base:</p> <p>[rus] Результаты оптимизации в MATPOWER со следующими настройками:</p> <p>[eng] Optimization results in MATPOWER with following options:</p> <p>mpopt = mpoption('opf.ac.solver','MIPS','out.all', outall,...<br> 'opf.flow_lim','P');<br> <br> [mpc, exitflagac]=runopf(mpc,mpopt);</p> <p>coeffs:</p> <p>[rus] Коэффициенты режимной компоненты, компонент, обусловленных сетевыми ограничениями и ограничениями по напряжению. Отклики в задачах расчета установившегося режима и оптимизации установившегося режима.</p> <p>[eng] LMP weights of power flow, transmission constraints, and voltage constraints components. Derivatives in power flow and optimal power flow problems.</p> <p>Model_1204:</p> <p>[rus] Результаты оптимизации в MATPOWER с заменой заявки второго генератора на 1204</p> <p>[eng] Optimization results in MATPOWER with new offer price 1204 for second generator.</p> <p>Model_775:</p> <p>[rus] Результаты оптимизации в MATPOWER с заменой заявки генератора 27 на 775</p> <p>[eng] Optimization results in MATPOWER with new offer price 775 for generator 27.</p>
Database of physical and chemical properties and thresholds relevant to shale gas
<p>Results of the data collection effort on the chemical, physical and toxicity properties as well as permitted concentration levels in drinking water of chemicals that are frequently used in the fracking process.</p>
Avoiding sedentary behaviors requires more cortical resources than avoiding physical activity
<p><strong>Dataset related to the paper entitled "Avoiding sedentary behaviors requires more cortical resources than avoiding physical activity". </strong></p> <p>This dataset includes:</p> <p>1) A workbook</p> <p>2) Raw data ("raw_data_eprime_zen.csv") of the behavioral outcomes of the manikin task</p> <p>3) Self-reported data ("data_self_report_R_subset_zen.csv").</p> <p>4) Electroencephalography data ("ERP_by_subject_by_condition_data.zip").</p> <p>5) R script for the data management of the behavioral outcomes (i.e., from the raw data to data ready to be analyzed)</p> <p>6) Images used in the manikin task</p> <p>7) Eprime script for the manikin task</p>
Meandering evolution and width variations: a physics-statistics based modeling approach
<p>Coordinates (x,y) of the central bank (field 1 and 2), the distance of the central axis (field 3), coordinates (x,y) of the left bank (fields 4 and 5), coordinates (x,y) of the right bank (fields 6 and 7)</p>
ScienceDex guides
Understand access before you commit
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.