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.
13,864
datasets available to search
ShareScore release 0.9.0
Dataset results
13,864 results for “staging”
Fig. 5 in Lessons From a Museum's Cabinet: DNA Barcoding and Collections-Based Life Stage Associations Reveals a Hidden Diversity in the Puerto Rican Bank Paedomorphic
Fig. 5. Male adklt habiti of the Pkerto Ricac back Leptolycici—Cessator, Dracolycus acd Taicopteroc. A. Cessator luquillocis Kazactsev 2009. B. Cessator tortolecsis new species. C. Cessator obriecorum new species. D. Cessator crypticus new species. E. Dracolycus chupacabra new genus and new species.;.Dracolycus marshalli new genus and new species. G. Taicopteroc milleri Kazactsev 2009.
Fig. 4 in Lessons From a Museum's Cabinet: DNA Barcoding and Collections-Based Life Stage Associations Reveals a Hidden Diversity in the Puerto Rican Bank Paedomorphic
Fig. 4. Maximkm-likelihood topology of the gecerated COI seqkecces acd a maiclacd Calopteroc. Bracches ic color represect matches betweec adklt males acd larvae. Nkmbers represect KH-aLRT (left) acd Ultrafast Bootstrap (U;boot) (right).
Fig. 2 in Lessons From a Museum's Cabinet: DNA Barcoding and Collections-Based Life Stage Associations Reveals a Hidden Diversity in the Puerto Rican Bank Paedomorphic
Fig. 2. Ktkdy areas of the sampled material. A. Positioc of the Pkerto Ricac back ic the West Icdies. B. Locality of the El Verde;ield Ktatioc ic the El Ykcqke Natiocal;orest ic Pkerto Rico. C. The Virgic Islacds ic detail; camed islacds are the oces ic which Leptolycici specimecs were collected.
Fig. 3 in Lessons From a Museum's Cabinet: DNA Barcoding and Collections-Based Life Stage Associations Reveals a Hidden Diversity in the Puerto Rican Bank Paedomorphic
Fig. 3. Pkerto Rico collectioc site acd some of the ksed collecticg methods. A. Tropical raicforest ic the El Verde;ield Ktatioc. B.;light icterceptioc trap (;IT). C. Malaise trap. D. Leptolycici specimecs (above Leptolycus puellus acd to the right Cessator luquillocis) first collected by cet-sweepicg acd thec with ac aspirator.
Fig. 1. A. A in Lessons From a Museum's Cabinet: DNA Barcoding and Collections-Based Life Stage Associations Reveals a Hidden Diversity in the Puerto Rican Bank Paedomorphic
Fig. 1. A. A scheme showicg the hypothesized evolktiocary relatiocships of Lycidae (modified from Kksy et al. 2019). Red circles icdicate grokps ic which paedomorphosis has developed at least occe ic the skbfamilies. B. Distribktioc of Lycidae liceages across the differect zoogeographical zoces. Map of the differect ecozoces modified from Wikimedia commocs. Origically made by carol acd ksed kcder CC BY-KA 3.0.
Supplementary material 5 from: Tichit P, Brickle P, Newton RJ, Convey P, Dawson W (2024) Introduced species infiltrate recent stages of succession after glacial retreat on sub-Antarctic South Georgia. NeoBiota 92: 85-110. https://doi.org/10.3897/neobiota.92.117226
Summary of effects of time since deglaciation for each glacier site on all variables modelled with Bayesian Inference (including quadratic and interaction terms if retained in the best model)
Supplementary material 10 from: Tichit P, Brickle P, Newton RJ, Convey P, Dawson W (2024) Introduced species infiltrate recent stages of succession after glacial retreat on sub-Antarctic South Georgia. NeoBiota 92: 85-110. https://doi.org/10.3897/neobiota.92.117226
Effect of time since deglaciation on the presence of plant and invertebrate species at tidewater and inland glacier sites modelled with Bayesian Inference
Supplementary material 1 from: Tichit P, Brickle P, Newton RJ, Convey P, Dawson W (2024) Introduced species infiltrate recent stages of succession after glacial retreat on sub-Antarctic South Georgia. NeoBiota 92: 85-110. https://doi.org/10.3897/neobiota.92.117226
Positions of all transects (black dots) along former deglaciation fronts (from 1993 to 2017, light to dark purple) in the vicinity of tidewater glaciers or in recent and old deglaciation areas in the vicinity of inland glaciers
Supplementary material 8 from: Tichit P, Brickle P, Newton RJ, Convey P, Dawson W (2024) Introduced species infiltrate recent stages of succession after glacial retreat on sub-Antarctic South Georgia. NeoBiota 92: 85-110. https://doi.org/10.3897/neobiota.92.117226
Average cover (in %) across transects of the 10 most common vascular plants around tidewater glaciers (a, n = 21 transects), inland glaciers (b, n = 18 transects)
Suppl. Movie: Ablation of apical cell (left) or basal cell (right) in a 4-cell stage embryo
<p>Samuel Boscq Thesis Chapter 3 Supplementary data</p>
Figure 2 in Interactions of daylength, temperature and nutrients affect thresholds for life stage transitions in the kelp Laminaria digitata (Phaeophyceae)
Figure 2: Effects of temperature, nutrient availability and daylength on the development of ontogenetic stages of Laminaria digitata over time (mean values, n = 4). Counting was done every 5 days over a period of 20 days. SE-values are omitted for clarity.
Figure 3 in Interactions of daylength, temperature and nutrients affect thresholds for life stage transitions in the kelp Laminaria digitata (Phaeophyceae)
Figure 3: Effects of temperature, nutrient availability and daylength on the recruitment capacity of juvenile sporophytes of Laminaria digitata after 20 days. (A) Percentage of female gametophyte fragments with juvenile sporophytes. (B) Absolute number of normal sporophytes cm−2. (C) Absolute number of loose lying and/or abnormal sporophytes cm−2 considered to represent partheno-sporophytes. (D) Absolute number of normal sporophytes and partheno-sporophytes together. Values are expressed as the mean ± SE (n = 4). See Tables 2 and 3 for results of statistical analysis.
Figure 1 in Interactions of daylength, temperature and nutrients affect thresholds for life stage transitions in the kelp Laminaria digitata (Phaeophyceae)
Figure 1: Effects of temperature, nutrient availability and daylength on gametophyte surface area of Laminaria digitata after 7 days. Values are expressed as the mean ± SE (n = 4). Dotted line represents the mean value of gametophyte surface area on day 0. Different letters indicate significant differences among the means for each temperature. See Table 1 for results of statistical analysis.
DEVELOPMENT OF THE AGRO-INDUSTRIAL COMPLEX OF RUSSIA AT THE PRESENT STAGE
<p><span>The article shows the development of agriculture in Russia at the present stage. It is agriculture that today is steadily one of the fastest growing sectors of the Russian economy. The production of certain products has been demonstrating historical records for a number of years, which has allowed Russia to become a prominent supplier to world markets. The growth of the agricultural sector has been facilitated by both natural factors (geographical location, large areas of agricultural land, vast water resources), investment inflows and improved management. The introduction of sanctions and government measures aimed at import substitution also contributed to the development of agricultural production in the country. This trend coincided with a significant increase in demand for basic foodstuffs due to population growth, primarily urban population growth, climate change, etc. It should be noted that the growth in demand contributes to the growth of long-term risks of instability in the world markets. </span></p>
TABLE 1 in The immature stages and female imago of Rheocricotopus (Psilocricotopus) sirventorum Andersen & Mendes, 2012, a Neotropical member of the chalybeatus species group (Diptera, Chironomidae, Orthocladiinae)
<p><b>TABLE 1.</b> Lengths (in μm) and proportions of leg segments in <i>Rheocricotopus</i> (<i>Psilocricotopus</i>) <i>sirventorum</i> Andersen & Mendes, 2012, adult female (n = 1).</p><table><tbody><tr><th></th><th><b>Fe</b></th><th><b>Ti</b></th><th><b>ta</b> <b>1</b></th><th><b>ta</b> <b>2</b></th><th><b>ta</b> <b>3</b></th><th><b>ta</b> <b>4</b></th></tr></tbody><tbody><tr><th><b>p</b> <b>1</b></th><td>424</td><td>522</td><td>315</td><td>207</td><td>148</td><td>89</td></tr><tr><th><b>p</b> <b>2</b></th><td>404</td><td>414</td><td>217</td><td>99</td><td>69</td><td>30</td></tr><tr><th><b>p</b> <b>3</b></th><td>404</td><td>483</td><td>266</td><td>118</td><td>108</td><td>49</td></tr><tr><th></th><td><b>ta</b> <b>5</b></td><td><b>LR</b></td><td><b>BV</b></td><td><b>SV</b></td><td><b>BR</b></td><td></td></tr><tr><th><b>p</b> <b>1</b></th><td>59</td><td>0.60</td><td>2.51</td><td>3.00</td><td>1.6</td><td></td></tr><tr><th><b>p</b> <b>2</b></th><td>39</td><td>0.52</td><td>4.38</td><td>3.77</td><td>0.9</td><td></td></tr><tr><th><b>p</b> <b>3</b></th><td>49</td><td>0.55</td><td>3.55</td><td>3.33</td><td>2.2</td><td></td></tr></tbody></table>
High-speed video observation of needles formed during the leader stage in a positive cloud-to-ground flash
<p>The data supports the manuscript entitled “<span>High-speed video observation</span><span> of needles formed during </span><span><span>the </span></span><span><span><span>leader</span></span></span><span><span><span> </span></span></span><span><span><span>stage</span></span></span><span> in a positive cloud-to-ground flash</span>”. The high-speed video data files of the positive cloud-to-ground lightning of *.cihx and *.avi can be opened by Photron Camera Control software (Photron Fastcam Viewer) that can be download from this link: https://photron.com/photron-support/</p> <p>In addition, MATLAB can open the *.mat file (electric field change data), and Microsoft Excel can open the *.xlsx file (Guangdong-Hong Kong-Macao Lightning Location data.</p> <p>The data can be used freely for scientific purposes with the appropriate citation.</p>
Association between exposure to ecotoxicants and clinical and laboratory indices at clinical and preclinical stages of rheumatoid arthritis
Open the record for dataset details and reuse information.
Data of Västilä & Jilbert (2024): Evaluating multiannual sedimentary nutrient retention in agricultural two-stage channels
<p>This dataset contains measured and modelled data on the flow-sediment-nutrient interactions in a two-stage (compound) agricultural channel in Sipoo, Finland. The whole dataset is analyzed by Västilä & Jilbert (2024), but parts of the data have been previously described and analyzed by <a href="https://www.tandfonline.com/doi/full/10.1080/15715124.2011.572888" target="_blank" rel="noopener">Västilä & Järvelä (2011)</a>, <a href="https://ascelibrary.org/doi/full/10.1061/%28ASCE%29HY.1943-7900.0001058" target="_blank" rel="noopener">Västilä et al. (2016)</a>, <a href="https://link.springer.com/article/10.1007%2Fs11368-017-1776-3" target="_blank" rel="noopener">Västilä & Järvelä (2018)</a> and <a href="https://www.mdpi.com/2071-1050/13/16/9349" target="_blank" rel="noopener">Västilä et al. (2021)</a>. The dataset contains three separate files: </p> <p>1) repeated elevation surveys of the cross-sectional geometry in six channel cross-sections in years 2010, 2012 and 2019 </p> <p>2) vertical distributions of total phosphorus, nitrogen, carbon and sulphur in the main channel bed, floodplain and channel bank sediments</p> <p>3) experimentally determined daily average discharges, suspended sediment loads and total phosphorus loads in years 2009-2012, as well as modelled daily average discharges and loads of suspended sediment, total phosphorus, total nitrogen and total organic carbon in years 2009-2019</p> <p>Brief metadata descriptions (read-me) are included in each Excel file. Further details are described in the original scientific publications listed below. </p> <p>Västilä, K. 2010. Cohesive sediment processes in vegetated flows: preliminary field study results. In Dittrich, A., Koll, Ka., Aberle, J. & Geisenhainer, P. (eds.), Proceedings of River Flow 2010, Fifth International Conference on Fluvial Hydraulics, 8–10 September 2010, Braunschweig, Germany, pp. 317–324. Bundesanstalt für Wasserbau, Karlsruhe. ISBN-13: 978-3939230007.</p> <p>Västilä, K. & Jilbert, T. 2024 Evaluating multiannual sedimentary nutrient retention in agricultural two-stage channels. Scientific Reports, doi: 10.1038/s41598-024-84956-2.</p> <p>Västilä, K. & Järvelä, J. 2011 Environmentally preferable two-stage drainage channels: considerations for cohesive sediments and conveyance. International Journal of River Basin Management, 9(3–4): 171–180. doi: 10.1080/15715124.2011.572888. </p> <p>Västilä, K. & Järvelä, J. 2018 Characterizing natural riparian vegetation for modeling of flow and suspended sediment transport. Journal of Soils and Sediments, 18(10): 3114–3130. doi: 10.1007/s11368-017-1776-3.</p> <p>Västilä, K., Järvelä, J., and Koivusalo, H. 2016 Flow–vegetation–sediment interaction in a cohesive compound channel. Journal of Hydraulic Engineering, 142(1): 04015034. doi:10.1061/(ASCE)HY.1943-7900.0001058.</p> <p>Västilä, K., Väisänen, S., Koskiaho, J., Lehtoranta, V., Karttunen, K., Kuussaari, M., Järvelä, J., Koikkalainen, K. 2021 Agricultural Water Management Using Two-Stage Channels: Performance and Policy Recommendations Based on Northern European Experiences. Sustainability, 13(16), 9349. doi: 10.3390/su13169349</p>
The single-cell spatial landscape of stage III colorectal cancers
<p>We added H&E images with pathologist annotations in this version (v2). All other files are available in version 1. </p> <p> </p> <p>The Seurat and Scanpy objects for single-cell data, along with a CSV file containing coordinates and cell types for all single cells, have been deposited. Additionally, the original IMC image data has also been uploaded.</p> <p>The Seurat object is: <em>20220215_COAD_cancer_control_umapped_annotated<strong>.rds</strong></em></p> <p>The Scanpy object is: <em>20220215_COAD_cancer_control_umapped_annotated.<strong>h5ad</strong></em></p> <p> </p>
AgRobTomato Dataset: Greenhouse tomatoes with different ripeness stages
<p><strong>Dataset of greenhouse tomatoes for object detection in Pascal VOC.</strong></p> <p>This dataset was collected on two different days (August 6 and 8, 2020) at a greenhouse in Barroselas, Viana do Castelo, Portugal.</p> <p>Mobile robot AgRob v16, controlled by a human operator, was guided through the greenhouse inter-rows and captured RGB images of the tomato plants using a ZED camera, recording them as a video in a single ROSBag file. The video was converted into images by sampling a frame every 3 seconds to reduce the correlation between images but ensuring an overlapping ratio of about 60%. The images collected on the two days were merged, resulting in a dataset of 449 images with a resolution of 1280x720 px each.</p> <p>The images captured on August 8, 2020 were already publicly available at INESC TEC Research Data Repository (see: https://rdm.inesctec.pt/dataset/ii-2021-001).</p> <p>Manually labelled using the CVAT annotation tool, considering 4 ripeness classes:</p> <ul> <li>Unriped;</li> <li>Breaking Stage;</li> <li>Reddish;</li> <li>Riped;</li> </ul> <p><strong>Framed within the activities of the ROBOCARE project, P2020 developed by INESC TEC (https://www.inesctec.pt/pt/projetos/robocare)</strong></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.