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4,107
datasets available to search
ShareScore release 0.9.0
Dataset results
4,107 results for “pointing”
Cervical cancer screening during the COVID-19 Crisis: Africa view point
There are approximately 570,000 cases of cervical cancer and 311,000 deaths from cervical cancer globally (1). Approximately 70% of cancer deaths occur in low and middle income countries and cervical cancer is the most common cancer in Africa (2). Therefore cervical cancer screening saves lives by early detection of cases for early management.
Separation, Preconcentration, and Determination of Lead, Cadmium and Iron Using Cloud Point Extraction with FAAS
<p>The concentration of heavy metals in drinking water is a significant standard for water quality evaluation and water pipeline corrosion detection. This research aimed to develop a new method based on cloud point extraction (CPE) for the separation, preconcentration and detection of lead, cadmium, and iron with flame atomic absorption spectrometry (FAAS) when the concentration of metallic trace elements in the sample was lower than the limits of detection (LOD). The experimental LODs for Pb, Cd and Fe, determined based on significant sensitivity change and break in the slope of the standard curve, were 0.01, 0.01, and 0.3 ppm, respectively. With joint utilization of both 2,6-diamino-4-phenyl-1,3,5-triazine (DPT) and 3-amino-7-dimethylamino-2-methylphenazine (Neutral Red, NR) as chelating agents, and using Triton X-114 as surfactant, those metallic elements could be effectively enriched in water samples. The preconcentration procedure was optimized by varying the experimental factors such as temperature, equilibrium time, pH, and the concentration of the chelates and surfactant. With the optimization, this method allowed the determination of these three trace elements with a 20-times reduced LOD and yielded substantial recoveries of 99.8, 97.3 and 99.3% for Pb, Cd and Fe, respectively.</p>
Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT
Attached in a .json file is the completed pointing information for 6 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DECam instrument.
Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT
Attached in a .json file is the completed pointing information for 26 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DECam instrument.
Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT
Attached in a .json file is the completed pointing information for 8 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DECam instrument.
Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT
Attached in a .json file is the completed pointing information for 21 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DECam instrument.
Submitted Completed pointings to the Gravitational Wave Treasure Map for event S200224ca
Attached in a .json file is the completed pointing information for 1655 observation(s) for the EM counterpart search associated with the gravitational wave event S200224ca. These observations were taken on the DECam instrument.
Submitted Completed pointings to the Gravitational Wave Treasure Map for event S190728q
Attached in a .json file is the completed pointing information for 211 observation(s) for the EM counterpart search associated with the gravitational wave event S190728q. These observations were taken on the DECam instrument.
Submitted Completed pointings to the Gravitational Wave Treasure Map for event TEST_EVENT
Attached in a .json file is the completed pointing information for 14 observation(s) for the EM counterpart search associated with the gravitational wave event TEST_EVENT. These observations were taken on the DECam instrument.
Dataset for "Liquid-vapor coexistence and critical point of Mg2SiO4 from ab-initio simulations"
<p>Supplementary datasets</p>
Analysis of an obstetrics point-of-care ultrasound training program for healthcare practitioners in Zanzibar, Tanzania
<p>Data set for antenatal care P\practitioners who participated in an obstetrics ultrasound education program in Zanzibar, Tanzania </p>
Gun-Point Dataset
<p>Dataset taken from http://alumni.cs.ucr.edu/~lexiangy/Shapelet/gun.zip</p> <p>Stored on Zenodo as backup for Stumpy Shapelet Discovery</p>
Data from: Avoiding tipping points in fisheries management through Gaussian process dynamic programming
Model uncertainty and limited data are fundamental challenges to robust management of human intervention in a natural system. These challenges are acutely highlighted by concerns that many ecological systems may contain tipping points, such as Allee population sizes. Before a collapse, we do not know where the tipping points lie, if they exist at all. Hence, we know neither a complete model of the system dynamics nor do we have access to data in some large region of state space where such a tipping point might exist. We illustrate how a Bayesian non-parametric approach using a Gaussian process (GP) prior provides a flexible representation of this inherent uncertainty. We embed GPs in a stochastic dynamic programming framework in order to make robust management predictions with both model uncertainty and limited data. We use simulations to evaluate this approach as compared with the standard approach of using model selection to choose from a set of candidate models. We find that model selection erroneously favours models without tipping points, leading to harvest policies that guarantee extinction. The Gaussian process dynamic programming (GPDP) performs nearly as well as the true model and significantly outperforms standard approaches. We illustrate this using examples of simulated single-species dynamics, where the standard model selection approach should be most effective and find that it still fails to account for uncertainty appropriately and leads to population crashes, while management based on the GPDP does not, as it does not underestimate the uncertainty outside of the observed data.
Data from: Generic indicators for loss of resilience before a tipping point leading to population collapse
Theory predicts that the approach of catastrophic thresholds in natural systems (e.g., ecosystems, the climate) may result in an increasingly slow recovery from small perturbations, a phenomenon called critical slowing down. We used replicate laboratory populations of the budding yeast Saccharomyces cerevisiae for direct observation of critical slowing down before population collapse. We mapped the bifurcation diagram experimentally and found that the populations became more vulnerable to disturbance closer to the tipping point. Fluctuations of population density increased in size and duration near the tipping point, in agreement with the theory. Our results suggest that indicators of critical slowing down can provide advance warning of catastrophic thresholds and loss of resilience in a variety of dynamical systems.
Data for EEG Electrode Localization with 3D iPhone Scanning Using Point-Cloud Electrode Selection (PC-ES)
<p>The dataset contains 1) the deidentified, cropped Heges scans collected on 8 subjects (4-7 sub-scans per subject), 2) the merged scans via the PC-ES software from 3 reviewers, and 3) the photogrammetry data (validation data) which also constructed from 3 reviewers. The data is in MATLAB data files (mat-files), which is consistent with the PC-ES software (https://github.com/haley-richards/PC-ES). There are also 2 m-files (MATLAB scripts) that can be used to plot the individual or merged scans. </p><ul><li>cropped_deidentified_scans_pg.mat<ul><li>cropdeidscans a 1 x 8 structure array (8 subjects)</li><li>Each cell contains a structure array of all the sub-scans for the given subject with the following fields:<ul><li>colobj – Matlab point cloud object. This is the Heges output cropped and deidentitied.</li><li>tri – triangulation related to the nodes (Location) of the colobj object</li></ul></li></ul></li><li>merged_scans – output from the PCES software that merged the subscans from Heges<ul><li>outputres a 3 x 8 structure array (3 reviewers/readers of scans and 8 subjects)</li><li>Each cell contains a structure array scans with the following fields:<ul><li>colobj – the merged scans, albeit separated by angular sectors</li><li>tdat_mrg – merged electrodes</li><li>tdat_full – full-set of electrodes</li><li>tri_mrg - triangulation related to the nodes (Location) of the colobj object</li></ul></li></ul></li><li>photogram_dat – photogrammetry-base electrodes 3 x 8 structure array (3 reviewers/readers of scans and 8 subjects)</li></ul>
Dataset of point-clouds generated by UAV LiDAR scanning of barley field-plot trial.
<p>Point clouds from eight scanning flights, scanned by UAV LiDAR system VUX-UAV1 (Ricopter GmBh), provided in forms of separated .las files. Dataset represent raw data that were further processed by software ALFA to extract height of canopies in particular field plots. Software serves for monitoring of plant growth dynamics in agricultural or breeding filed-plot trials.</p>
FR012, Early Archaic, dovetails/St Charles point
Dovetails or St. Charles Points Early Archaic Catalog #: P093 Uploaded by Carson Wright Suggested Data Citation: Thompson, Christine, Erin Powers, Carson Wright, and Kevin C. Nolan, 2021. FRHS_FR012, 3D Model .ply file. Digital Exhibit of Fort Recovery Historical Society's Precontact Collection, Fort Recovery Historical Society and Applied Anthropology Laboratories, Ball State University. Source: Objaverse 1.0 / Sketchfab
FR084, Precontact, Large Corner-Notched Point
Large Corner-Notched Point All prior to 1200 AD Catalog #: ? Uploaded by Gwyneth Harris Suggested Data Citation: Thompson, Christine, Erin Powers, Gwyneth Harris, and Kevin C. Nolan, 2021. FRHS_FR084, 3D Model .ply file. Digital Exhibit of Fort Recovery Historical Society's Precontact Collection, Fort Recovery Historical Society and Applied Anthropology Laboratories, Ball State University. Source: Objaverse 1.0 / Sketchfab
Point Washington Incised Reconstructed Vessel
Point Washington Incised, Fort Walton Peroid, AD 900 – 1500 Vessel on display at the Desintation Archaeology Resource Center: https://destinationarchaeology.org/ Model by Emma Dietrich This model was made using RealityCapture software by Capturing Reality. Source: Objaverse 1.0 / Sketchfab
Processed tracking data of Southern Giant Petrels during breeding activity in Harmony Point, Nelson Island, between 2021 and 2023
<p>Processed GPS data for 36 Southern Giant Petrels (Macronectes giganteus) in December and January of 2021/22 and 2022/23 breeding season in Harmony Point (<span>62°17′60″ S, 59°10′60″ W</span>), Nelson Island, Maritime Antarctic Peninusula. All individuals had active nests. Bill size and tarsus length for 50 southern giant petrels ringed in the area.</p> <p>Between 2021 and 2023 50 breeding individuals were captured on the nest, following methods and protocols previously approved (https://zenodo.org/doi/10.5281/zenodo.10640094). For capture, one researcher approached the colony, while the others remained at a distance, preferentially out of sight of the birds. Response behavior to the approaching researcher was used as a proxy for capture selection, for instance, animals that regurgitate or stand on the nest exposing the eggs when the researcher approaches are more likely to leave the nest or might take longer to return to the nest after releasing, increasing the risk of breeding failure (Krüger et al. in prep). Therefore, animals displaying those behaviors were not captured. Before capture, the egg was gently removed from below the bird, covered in thermal tissue and put inside a box, for protection from cold and predation. Then the bird was captured by hand and taken to the site where other two researchers were waiting. Animals had their eyes covered with a head hood. All captured animals were ringed with stainless steel bands (rings), preferentially both animals from the same nest each season. All captured animals had bill and tarsus measured with calipers. Bill was used to determine sex, since males have larger bills with no overlap of measures with females. After release back to the nest, behavioral status of the animal was observed, and after the animal remained sat at the nest, the egg was placed back.</p> <p>GPSs were deployed on the back of the birds using 3M Extreme Hold Duct Tape 2835-B (1.88 inches) and Loctite glue. In 2021/22 and 2022/2023 seasons 30 and 20 birds were tagged with GPSs, respectively. In 2021/22, 4 females lost the GPS, and in 2022/23 one male and one female lost the GPS. Therefore there was tracking data for 26 and 18 animals, respectively. Eight animals were repeated in both seasons, totalizing 36 animals tracked in the two seasons. CatLog-P Gen 2 epoxy cased GPSs loggers (Perthold Technology, 50g) and Sputnik XAIS GPSs (Sextant technology, 70g) were used. Southern Giant Petrel weight varies between 4 kg and 6 kg, therefore the heavier instrumentation on the lighter birds would represent less than 2% of body weight, percentage which is accepted to have no significant effect on large procellariforms . Loggers were configurated to record one geographical fix each 5 minutes, and were recovered from the birds after 2 to 4 weeks.</p> <p>See https://github.com/drlucaskruger/SouthernGiantPetrel_Movements_and_Individual_Size for codes.</p> <p>This study was funded by INACH (Programa Áreas Marinas Protegidas 24 03 052) and ANID – Programa Iniciativa Milenio – ICN2021_002 (BASE).</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.