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.
9,882
datasets available to search
ShareScore release 0.9.0
Dataset results
9,882 results for “Scale”
FIGURE 42. Pterygosoma benguellae Jack, 1962 in A systematic revision of the scale mite genus Pterygosoma Peters, 1849 (Acariformes: Pterygosomatidae)
FIGURE 42. Pterygosoma benguellae Jack, 1962, female in ventral view.
FIGURE 33. Pterygosoma persicus Hirst, 1917, female. A in A systematic revision of the scale mite genus Pterygosoma Peters, 1849 (Acariformes: Pterygosomatidae)
FIGURE 33. Pterygosoma persicus Hirst, 1917, female. A, dorsal view; B, ventral view.
FIGURE 3. Pterygosoma mutabilis Jack, 1961 in A systematic revision of the scale mite genus Pterygosoma Peters, 1849 (Acariformes: Pterygosomatidae)
FIGURE 3. Pterygosoma mutabilis Jack, 1961, male in dorsal view (after Jack 1961, modified).
FIGURE 27 in A systematic revision of the scale mite genus Pterygosoma Peters, 1849 (Acariformes: Pterygosomatidae)
FIGURE 27. Pterygosoma inermis (Trägårdh, 1905), female. A, dorsal view; B, ventral view.
and I — lingual views SEM images of gold palladium coated epoxy casts. Scale = 0.5 mm in Late Middle Eocene bats from the Creechbarrow Limestone Formation, Dorset, southern England with description of a new species of Archaeonycteris (Chiroptera: Archaeonycteridae)
and I — lingual views SEM images of gold palladium coated epoxy casts. Scale = 0.5 mm
WALOWA (WAVE LOADS ON WALLS) - LARGE SCALE EXPERIMENTS IN THE DELTA FLUME
<p>WaLoWa stands for Wave Loads on Walls and is a Hydralab+ project funded by the European Union. Ghent University (Belgium), TU Delft (The Netherlands), RWTH Aachen (Germany), Politechnico Bari and University of Florence (Italy) and Flanders Hydraulics Research (Belgium) are jointly working on the WaLoWa project. The user team leader is Ghent University. The WaLoWa project is hosted by Deltares and the Delta Flume facility.</p> <p>When storm walls and buildings are located on top of a dike or promenade, overtopping waves can induce large forces on these structures as has e.g. been observed at the Belgian coast which has a specifically shallow foreshore. Especially during storm season and in times of sea level rise these loads can be highly destructive. It is therefore the key objective of WaLoWa to study overtopped wave loads on structures situated on top of a dike and in shallow foreshore conditions.</p>
Inclusiveness Matters: A Large-Scale Analysis of User Feedback
<p>This dataset includes the user feedback (app reviews, Reddit, and Twitter posts) from 50 popular apps, used in our study on analyzing inclusivenss in user feedback. We also provide the labels for the manually labelled data. In addition, we also provide the memoing for the analysis of the social technical grounded theory process. </p><p> </p>
Data for: The influence of microbially induced calcite precipitation on subsurface transport processes in cement at the pore scale
<p>This is the dataset for the paper "The influence of microbially induced calcite precipitation on subsurface transport processes in cement at the pore scale" in AWR. </p>
Disordered Eating Behaviors Related to Food Addiction/Eating Addiction in Inpatients with Obesity and the General Population: The Italian Version of the Addiction-like Eating Behaviors Scale (AEBS-IT)
Open the record for dataset details and reuse information.
On the cluster scales of hydrometeors in mixed-phase stratiform clouds [dataset]
<p>Dataset used in "On the cluster scales of hydrometeors in mixed-phase stratiform clouds".</p>
Scale-dependent effects of urbanization on avian diversity in a Neotropical region
<p>RDA_birds script: This is the script that contains the Redundancy Analysis (RDA), whose database is named: "Rda_birds.txt". RDA is a multivariate statistical technique that combines elements of Principal Component Analysis (PCA) and Multiple Regression to explore the relationships between sets of variables. This technique is often used to analyze data where there are multiple responses (dependent variables) and multiple predictors (independent variables). In this case, we used this statistical technique to explore multivariate relationships between sets of variables, where we explored how local environmental and landscape characteristics (independent variables) can explain patterns in bird species communities (dependent variables).</p> <p>MOBr_birds script: This is the script that contains the Biodiversity Measurement Analysis (Mob), whose database is named: "Mobr_birds". Mob is a multi-scale approach to dissecting the roles of species abundance distribution (SAD), total community abundance and spatial aggregation within species along continuous environmental gradients.</p>
A large-scale high-resolution cropland non-agriculturalization (Hi-CNA) dataset
<p><span>The Hi-CNA is a high-resolution remote sensing dataset dedicated to the cropland non-agriculturalization (CNA) tasks, featuring high-quality semantic and change annotations for cropland. The study area covers parts of Hebei, Shanxi, Shandong, Hubei provinces in China, with a total area exceeding 1100 km<sup>2</sup>. These regions exhibit significant variations in crop planting, ensuring the diversity of cropland morphologies. The first temporal phase spans from 2015 to 2017, while the second phase ranges from 2020 to 2022, covering multiple phenological periods of crops. These characteristics provide a rich variety of samples for CNA tasks.</span></p> <p><span><span>The dataset is sourced from multispectral GF-2 fusion images with a spatial resolution of 0.8m, encompassing four bands including visible light and near-infrared. All images are cropped to 512*512, resulting in a total of 6797 pairs of dual-temporal images with corresponding annotations. Figure 1 illustrates different forms of cropland and some types of changes.</span></span></p>
Response of hydrological processes to event- and annual-scale precipitation extremes in the critical zone of the hillside surface
Open the record for dataset details and reuse information.
Raw geochemical data and additional images of: New insights on micro–scale variations of geochemical and oxygen isotope compositions in conodont and shark tooth bioapatite
<p>The files contain the Research Data for the article entitled <strong>'New insights on micro–scale variations of geochemical and oxygen isotope compositions in conodont and shark tooth bioapatite'</strong>. It includes raw geochemical data (stable isotope analysis and elemental analysis) with its respective normalizations, images (scanning electron microscopy) and results from additional samples. Statistical tests are also encompassed. Also, profilometer figures that show samples’ topography are available (please consult the README file). Any doubt or question about these are welcomed by me (Zoneibe Luz) and Torsten Vennemann for discussion or further considerations.</p>
Dataset used in Design Analytics for Mobile Learning: Scaling up theClassification of Learning Designs based onCognitive and Contextual Elements
<p>The following dataset has been used for the paper entitled "Design Analytics for Mobile Learning: Scaling up theClassification of Learning Designs based onCognitive and Contextual Elements".</p> <p>Abstract</p> <p>This research was triggered by the identified need in literature for large-scale studies about the kind of designs that teachers create for Mobile Learning (m-learning). These studies require analyses of large datasets of learning designs. The common approach followed by researchers when analysing designs has been to manually classify them following high-level pedagogically-guided coding strategies, which demands extensive work. Therefore, the first goal of this paper is to explore the use of Supervised Machine Learning (SML) to automatically classify the textual content of m-learning designs, through pedagogically-relevant classifications, such as the cognitive level demanded by students to carry out specific designed tasks, the phases of inquiry learning represented in the designs, or the role that the situated environment has in them. As not all the SML models are transparent, while often researchers need to understand the behaviour behind them, the second goal of this paper considers the trade-off between models’ performance and interpretability in the context of design analytics for m-learning. To achieve these goals we compiled a dataset of designs deployed through two tools, Avastusrada and Smartzoos. With it, we trained and compared different models and feature extraction techniques. We further optimized andcompared the best-performing and most interpretable algorithms (EstBERT and Logistic Regression) to consider the second goal through an illustrative case. We found that SML can reliably classify designs, with accuracy>0.86and Cohen’s kappa>0.69.</p>
FIGURE 49 in The Scale Insects Of Iran (Hemiptera: Coccomorpha) Part 2 The Mealybugs (Pseudococcidae And Rhizoecidae) And Putoidae
FIGURE 49. Adult female of Planococcus kraunhiae (Kuwana).
FIGURE 46 in The Scale Insects Of Iran (Hemiptera: Coccomorpha) Part 2 The Mealybugs (Pseudococcidae And Rhizoecidae) And Putoidae
FIGURE 46. Adult female of Phenacoccus transcaucasicus Hadzibejli.
Large-Scale Data of Traditional Chinese Medicine bioactivity
<p>These files work with KNIME diagram to handle all training data and external validation data. </p> <p>1. <strong>TCM_inchikey.xlsx</strong> includes all chemical structure data from 16 TCM databases.</p> <p>2. After data augmentation, the original TCM structure data was expanded and stored as the <strong>2000w_inchikey.txt</strong>.</p> <p>3. Then TCM_inchikey.xlsx and 2000w_inchikey.txt were separatly mapped on the ChEMBL32 to acquire the bioassay data. Due to ChEMBL32 was acquired by SQL, please check KNIME diagram stored in github site for ChEMBL32 data and the mapped bioassay data. </p> <p>4. After the screening process strored in KNIME, the <strong>training_data.zip</strong> was acquired.</p> <p>5. <strong>BindingDB_bioassay.csv</strong> and <strong>pubchem_bioassay.csv</strong> were used to form the external validation data, that is <strong>external data.zip</strong>.</p>
Large-scale analysis of grooming in modern social networks
<p>We provide a large-scale dataset of the messages exchanged publicly by the streamers and viewers during the live broadcasts of users identified as adult content producers from the <a href="https://www.liveme.com/">LiveMe</a> platform, a major Social Live Streaming Service (SLSS). The dataset comprises 39,382,838 chat messages exchanged by 1,428,284 users, in the context of 293,271 live broadcasts during a period of approximately two years, from July 2016 to June 2018. The analysis of this dataset can be found in our paper <strong><em>"Large-scale analysis of grooming in modern social networks" </em></strong>(<a href="https://arxiv.org/abs/2004.08205">arXiv:2004.08205</a> [cs.SI]).</p>
【outputs_search_best_number_tokens_large_scales_SS】only two 8B LLMs, only SS task, [1 (best # of tokens) + 1 (corresponding language materials)] ⨉ 6 (parts) = 12 files
<ul> <li>only two 8B LLMs, </li> <li>only SS task,</li> <li>[1 (best # of tokens) + 1 (corresponding language materials)] ⨉ 6 (parts) = 12 files</li> </ul>
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.