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7,378 results for “case”

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zenodo32/100

Monash X band radar case for bushfire detection and a precipitation case used to examine uncertainty in ZDR

<p>Data sets from a mobile X-band radar used to examine uncertainty in ZDR and roHV .&nbsp; Data includes preciptation and wildfire ash clouds.&nbsp;&nbsp;</p> <p>The data format is&nbsp; <span>unprocessed, ungridded (spherical coordinates) and provided using the Eumetnet&nbsp;</span><a href="https://www.eumetnet.eu/wp-content/uploads/2019/01/ODIM_H5_v23.pdf" target="_blank" rel="noopener"><span>ODIMH5 model</span></a><span>&nbsp;of the HDF5 format</span> .&nbsp; &nbsp;</p> <p>The bublication will be May et al, J. Atmos. Oceanic. Tech titled:&nbsp;</p> <p><span>Accuracy of polarimetric radar Z<sub>DR</sub> estimates: Implications for the quantitative observation of meteorological and non-meteorological echoes</span></p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

Prospective case series of Standardbred racehorses treated with intra-lesional ultrasound-guided injection of platelet-rich plasma for suspensory ligament branch injuries

<p><strong>Abstract</strong>&nbsp;</p> <p>Standardbred racehorses are frequently diagnosed with suspensory ligament branch injuries which results in loss of earnings and morbidity. This prospective study aims to measure outcomes for suspensory ligament branch desmitis (SLBD) in Standardbred racehorses treated with intra-lesional platelet rich plasma (PRP).</p> <p>&nbsp;</p> <p>All Standardbred racehorses presented at the Vets On Wheels clinic in Marsa between 01.10.2019 and 31.12.2020 with grade 2-3 SLBD diagnosed ultrasonographically were included. All core lesions were injected with PRP under ultrasound guidance following standardised blood collection and centrifugal processes. All horses underwent a standardised rehabilitation protocol. Racing data including number of starts and earning following treatment was retrieved from the Malta Racing Club database.</p> <p>&nbsp;</p> <p>Twelve Standardbred racehorses were included in the study with a mean age of 9 years (range; 6 &ndash; 12).&nbsp; Forelimb lesions accounted for 36% of injuries. Seven horses (58%) returned to racing, although only two (17%) started more than two races. The average time elapsed between treatment and date of first start was 200 days.</p> <p>&nbsp;</p> <p>To the authors knowledge this is the first study to examine SLBD outcomes following PRP treatment in Standardbred racehorses. Older racing Standardbreds with grade 2/3 SLBD have a guarded prognosis for return to racing, as documented within racing Thoroughbred populations. Whether or not intra-lesional PRP alters the prognosis cannot be ascertained from this study.</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

Strategic Game Theory Analysis of Digitalization in Raw Materials Manufacturing: A Case Study of China and Implications for Public Policy

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo32/100

illegal gambling cases, searching from Chinese Judgement Online (裁判文书网)

Open the record for dataset details and reuse information.

opencc-by-4.0Jan 2023View details →
zenodo32/100

Association of Disseminated Cutaneous Herpes Zoster and uncontrolled Diabetes Mellitus type II: A Case Report

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2017View details →
zenodo32/100

Controlling effect of sliding zone soil on rainfall-triggered accumulation landslide in Qinling-Bashan Mountains – a typical case study

<p>The document contains the original data of the physical and mechanical tests of the slip soil in the research paper. It mainly includes the following five tables:</p> <p>Table 1 Physical properties of the soil samples;</p> <p>Table 2 Experimental scheme of ring shear tests;</p> <p>&nbsp;Table 3 Loading scheme of the creep test;</p> <p>Table 4 Long-term strength of specimens under different conditions;</p> <p>Table 5 Parameters of geotechnical materials used in the numerical model.</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

SHOWCASE Task 2.7 Biodiversity Indicators maps for the Hungarian case study area (Kiskunság)

<p>The data set <span>for the SHOWCASE Task 2.7 Hungarioan case study area of &nbsp;Kiskuns&aacute;g </span>encompasses 48 raster maps at 10 m resolution (Reference system EPSG:3035) for the following 0-1 normalised biodiversity indicators:</p> <ol> <li>Wild bees abundance&nbsp; (WBA)</li> <li>Wild bees species richness (WBR)</li> <li>Spider abundance (SpA)</li> <li>Spider species richness (SpR)</li> <li>Vascular plants species richness (PlaR)</li> <li>Composite Biodiversity Indicator (BioDiv: 0-1 normalised sum of the indicators 1-5)</li> </ol> <p>Each indicator was predicted and mapped for two seasons (r1 and r2) in two years (2022 and 2023) under two management scenarios (control "treatmentiszero", and intervention "treatmentisone"). Target land use: arable land.</p>

embargoedcc-by-4.0Nov 2024View details →
zenodo32/100

Case stuides of ground-based remote sensing observations from Cabauw, NL, as obtained during the ACCEPT campaign in 2014.

<p>Datasets of Mira-35 NMRA and Mira-35 MBR4 cloud radars, PollyXT multiwavelength polarization lidar, and the corresponding Cloudnet categorization data for the case-study periods of 3 November and 7 November 2014. A detailed description of each dataset is provided below.</p> <p>1. 20141103_cesar_categorize.nc</p> <ul> <li>Categorization file produced with Cloudnet algorithm, as document on http://cloudnet.fmi.fi.</li> <li>The data were collected on November 3, 2014. They are based on Mira-35 NMRA radar, microwave radiometer, lidar ceilometer, and optical disdrometer.&nbsp;</li> </ul> <p>2. 20141107_cesar_categorize.nc</p> <ul> <li>Categorization file produced with Cloudnet algorithm, as document on http://cloudnet.fmi.fi.</li> <li>The data were collected on November 7, 2014. They are based on Mira-35 NMRA radar, microwave radiometer, lidar ceilometer, and optical disdrometer.&nbsp;</li> </ul> <p>3. 20141103_2000.pdm</p> <ul> <li>This dataset was collected on November 3, 2014, between 20:00 and 20:15 UTC, and includes four RHI scans performed using the Mira-35 MBR4 radar. It serves as the primary input for the technique used to retrieve the shape and orientation of ice particles.</li> </ul> <p>4. 20141107_0915.pdm</p> <ul> <li>This dataset was collected on November 7, 2014, between 09:15 and 09:30 UTC, and includes four RHI scans performed using the Mira-35 MBR4 radar. It serves as the primary input for the technique used to retrieve the shape and orientation of ice particles.</li> </ul> <p>5. 20141107_0945.pdm</p> <ul> <li>This dataset was collected on November 7, 2014, between 09:45 and 10:00 UTC, and includes four RHI scans performed using the Mira-35 MBR4 radar. It serves as the primary input for the technique used to retrieve the shape and orientation of ice particles.</li> </ul> <p>6. 20141107_0800.mmclx</p> <ul> <li>This dataset was collected on November 7, 2014, between 08:00 and 10:00 UTC, using the Mira-35 MBR4 radar. During this period, the radar performed eight PPI scans, with the data from each scan used to calculate wind speed and direction in 15-minute intervals. In this study, the data from the sixth and eighth scans were utilized to calculate wind speed and direction for the time intervals 09:15&ndash;09:30 UTC and 09:45&ndash;10:00 UTC, respectively.</li> </ul> <p>7. 20141103_2000.mmclx</p> <ul> <li>This dataset was collected on November 3, 2014, between 20:00 and 22:00 UTC, using the Mira-35 MBR4 radar. During this period, the radar performed eight PPI scans, with the data from each scan used to calculate wind speed and direction in 15-minute intervals. In this study, the data from the first scan were utilized to calculate wind speed and direction for the time intervals 20:00&ndash;2015 UTC.</li> </ul> <p>8. 20141103_cesar_pollyxt.nc</p> <ul> <li>This dataset was collected on November 03, 2014, between 08:00 and 10:00 UTC. Amongst others, the file provides time-height cross sections of 1064-nm attenuated backscatter coefficient and 532-nm volume depolarization ratio, which can be used to evaluate an observed cloud and aerosol scene for the occurrence of ice crystals and liquid water.</li> </ul> <p>9. 20141107_cesar_pollyxt.nc</p> <ul> <li>This dataset was collected on November 07, 2014, between 20:00 and 21:00 UTC. Amongst others, the file provides time-height cross sections of 1064-nm attenuated backscatter coefficient and 532-nm volume depolarization ratio, which can be used to evaluate an observed cloud and aerosol scene for the occurrence of ice crystals and liquid water.</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2024View details →
zenodo32/100

SHOWCASE Task 2.7 Biodiversity Indicator maps for the Portuguese case study area (Evora, Portel, Cuba, Vidigueira and Beja)

<p>The data set <span>for the SHOWCASE Task 2.7 Portuguese<span>&nbsp;</span>case study area of&nbsp; the Municipalities of <span>Evora, Portel, Cuba, Vidigueira and Beja</span><span>&nbsp;</span></span>encompasses 48 raster maps (GEOTIF format) at 10 m resolution (Reference system EPSG:3035) for the following 0-1 normalised biodiversity indicators:</p> <ol> <li>Wild bees abundance&nbsp; (WBA)</li> <li>Wild bees species richness (WBR)</li> <li>Spider abundance (SpA)</li> <li>Spider species richness (SpR)</li> <li>Vascular plants species richness (PlaR)</li> <li>Composite Biodiversity Indicator (BioDiv: 0-1 normalised sum of the indicators 1-5)</li> </ol> <p>Each indicator was predicted and mapped for two seasons (r1 and r2) in two years (2022 and 2023) under two management scenarios (control "treatmentiszero", and intervention "treatmentisone"). Target land use: permanent crops (olive orchards).</p>

embargoedcc-by-4.0Nov 2024View details →
zenodo32/100

SHOWCASE Task 2.7 Biodiversity Indicator maps for the Spanish case study area (Guadalquivida)

<p>The data set <span>for the SHOWCASE Task 2.7 Spanish case study area of Guadalquivida </span>encompasses 48 raster maps (GEOTIF format) at 10 m resolution (Reference system EPSG:3035) for the following 0-1 normalised biodiversity indicators:</p> <ol> <li>Wild bees abundance&nbsp; (WBA)</li> <li>Wild bees species richness (WBR)</li> <li>Spider abundance (SpA)</li> <li>Spider species richness (SpR)</li> <li>Vascular plants species richness (PlaR)</li> <li>Composite Biodiversity Indicator (BioDiv: 0-1 normalised sum of the indicators 1-5)</li> </ol> <p>Each indicator was predicted and mapped for two seasons (r1 and r2) in two years (2022 and 2023) under two management scenarios (control "treatmentiszero", and intervention "treatmentisone"). Target land use: permane crops (stone fruit orchards)</p>

embargoedcc-by-4.0Nov 2024View details →
zenodo32/100

SHOWCASE Task 2.7 Biodiversity Indicator maps for the Swiss case study area (Solothurn)

<p>The data set for the SHOWCASE Task 2.7 Swiss case study area of Solothurn encompasses 48 raster maps (GEOTIF format) at 10 m resolution (Reference system EPSG:3035) for the following 0-1 normalised biodiversity indicators:</p> <ol> <li>Wild bees abundance&nbsp; (WBA)</li> <li>Wild bees species richness (WBR)</li> <li>Spider abundance (SpA)</li> <li>Spider species richness (SpR)</li> <li>Vascular plants species richness (PlaR)</li> <li>Composite Biodiversity Indicator (BioDiv: 0-1 normalised sum of the indicators 1-5)</li> </ol> <p>Each indicator was predicted and mapped for two seasons (r1 and r2) in two years (2022 and 2023) under two management scenarios (control "treatmentiszero", and intervention "treatmentisone"). Target land use: arable land.</p>

embargoedcc-by-4.0Nov 2024View details →
zenodo32/100

SHOWCASE Task 2.7 Biodiversity Indicator maps for the Dutch case study area (Zuid-Limburg)

<p>The data set&nbsp; for the SHOWCASE Task 2.7 Dutch case study area of Zuid Limburg encompasses 48 raster maps (GEOTIF format) at 10 m resolution (Reference system EPSG:3035) for the following 0-1 normalised biodiversity indicators:</p> <ol> <li>Wild bees abundance&nbsp; (WBA)</li> <li>Wild bees species richness (WBR)</li> <li>Spider abundance (SpA)</li> <li>Spider species richness (SpR)</li> <li>Vascular plants species richness (PlaR)</li> <li>Composite Biodiversity Indicator (BioDiv: 0-1 normalised sum of the indicators 1-5)</li> </ol> <p>Each indicator was predicted and mapped for two seasons (r1 and r2) in two years (2022 and 2023) under two management scenarios (control "treatmentiszero", and intervention "treatmentisone"). Target land use: arable land</p>

embargoedcc-by-4.0Nov 2024View details →
zenodo32/100

Dataset-Csulak et al. Hungarian HAE cases (2003-2024)

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opencc-by-4.0Jul 2024View details →
zenodo32/100

D.2.4_ProbeField_Field Measurements Examples Over 5 Case Studies_V1

<p>This dataset comprises pre-processed field spectra, including 132 Bare Fiber and 29 SoilPRO&reg; spectra collected from five distinct sites representing various applications. The SoilPRO&reg; (SP) apparatus is specifically designed to measure the reflectance of undisturbed soil surfaces, with the portable spectrometers operating in the 350&ndash;2500 nm range, integrated into a fixed geometry setup with stable tungsten-halogen illumination. Due to the high stability of the SoilPRO&reg; apparatus, each spectrum represents the average reflectance from three repetitions. Alongside spectral acquisition, several soil surface properties were measured, including hydrophobicity, measurement stability relative to the Contact Probe and Bare Fiber, and spatial variation across an extensive calibration area (1000 m&sup2;). The dataset also includes measurements of soil reflectance under low solar elevation conditions near the South Pole. Average spectra obtained with the SP apparatus for different bare soil surface covers and the comparison with spectra obtained with the Bare Fiber are also included.</p>

embargoedcc-by-4.0Nov 2024View details →
zenodo32/100

Figure 2 in Two cases of introducing Lipoptena fortisetosa Maa (Diptera: Hippoboscidae) into Europe through different deer species

Figure 2. Lipoptena fortisetosa (form B), Lipoptena cervi L., 1758 and Lipoptena fortisetosa (form A) females. Dorsal view of the Lipoptena fortisetosa (form A) head and thorax from different angles (a, b). Dorsal view of the Lipoptena fortisetosa (form B) head and thorax (c). Dorsal view of the Lipoptena cervi L., 1758 head and thorax (d). PSS: Prescutellar suture, LS: Longitudinal suture. Scale bars: 1 mm.

opennotspecifiedSep 2024View details →
zenodo32/100

Figure 3 in Two cases of introducing Lipoptena fortisetosa Maa (Diptera: Hippoboscidae) into Europe through different deer species

Figure 3. Dorsal view of the head and thorax. (a) Lipoptena fortisetosa (form B), (b) Lipoptena fortisetosa (form A), (c) Lipoptena cervi L., 1758 males. PSS: Prescutellar suture, LS: Longitudinal suture. Scale bars: 100 µm.

opennotspecifiedSep 2024View details →
zenodo32/100

Figure 4 in Two cases of introducing Lipoptena fortisetosa Maa (Diptera: Hippoboscidae) into Europe through different deer species

Figure 4. Phylogenetic topology based on partial COI gene sequences of Lipoptena spp. Result of the maximum likehood analysis (a), result of the Bayesian analysis (b). *New sequences of Lipoptena spp.

opennotspecifiedSep 2024View details →
zenodo32/100

FIGURE 6 in Morphology of the egg-case and larva of Paracymus aeneus (Germar) (Coleoptera: Hydrophilidae)

FIGURE 6. Paracymus aeneus, head appendages of third instar larva. A, Left antenna, dorsal view; B, mandible, dorsal view; C, left maxilla, dorsal (left) and ventral (right) view; D, labium, dorsal (left) and ventral (right) view.

opennotspecifiedNov 2024View details →
zenodo32/100

FIGURE 2. Paracymus aeneus, first instar larva. A in Morphology of the egg-case and larva of Paracymus aeneus (Germar) (Coleoptera: Hydrophilidae)

FIGURE 2. Paracymus aeneus, first instar larva. A, Head capsule, dorsal view; B, head capsule, ventral view; C, anterior margin of head capsule, dorsal view.

opennotspecifiedNov 2024View details →
zenodo32/100

FIGURE 1. Paracymus aeneus. A–D in Morphology of the egg-case and larva of Paracymus aeneus (Germar) (Coleoptera: Hydrophilidae)

FIGURE 1. Paracymus aeneus. A–D, Ethanol fixed specimens; A, B, egg-case; C, first instar larva; D, third instar larva, dorsal (left), lateral (middle) and ventral (right) view. E–L, Living individuals, under rearing; E, adult and egg-case; F, G, first instar larva; H, second instar larva; I, third instar larva; J, cannibalistic behaviour, third instar larva; K, feeding Chironomidae larva, third instar larva; L, adult individual walking under water surface. M–S, Detail of characters. M, Surface of pronotum, third instar larva; N, surface of abdomen, third instar larva; O, surface of dorsal sclerite of spiracular atrium, third instar larva; P–R, abdominal spiracle, first (P), second (Q) and third (R) instar; S, spiracles in spiracular atrium, dorsal view, third instar larva.

opennotspecifiedNov 2024View details →

ScienceDex guides

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

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