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.
367
datasets available to search
ShareScore release 0.9.0
Dataset results
367 results for “pass”
Data and code from: You shall not pass, the Pacific oxygen minimum zone creates a boundary to shortfin mako shark distribution in the Eastern North Pacific Ocean
Open the record for dataset details and reuse information.
The most remarkable migrants: Systematic analysis of the Western European insect flyway at a Pyrenean mountain pass
Open the record for dataset details and reuse information.
Phoenix Area Social Survey (PASS): 2001
The Phoenix Area Social Survey (PASS) parallels the Ecological Survey of Central Arizona (formerly, Survey 200) as a long-term monitoring program of the CAP LTER. Every five years, the PASS research team surveys households in selected neighborhoods in the metropolitan Phoenix area to better understand perceptions, values, and behaviors on several key environmental and social issues. The 2001 pilot survey was conducted in eight Phoenix area neighborhoods with 302 respondents. This survey focused on perceptions of local and regional environmental issues, neighborhood amenities and disamenities, social capital, and front and backyard landscaping preferences. The tabular survey data presented in this dataset were previously published through the LTER at the following citation; newer versions of that dataset will not contain the 2001 data presented in this dataset: "Harlan, Sharon (2009): Phoenix Area Social Survey (PASS). Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/fc7e9d5c6c030b2e9bbf8bf050d519a0" Datasets in the Phoenix Area Social Survey (PASS) series of long-term studies are discoverable in the LTER data system with the keywords "phoenix area social survey".
PASS data and metadata upload. Carlos Abrahams. Thorpe Park & Green Park, Austhorpe, Leeds
<p>PASS data and metadata upload. Carlos Abrahams. Thorpe Park & Green Park, Austhorpe, Leeds</p> <p>Three ponds recorded - WAV files, metadata CSV and photos included</p>
Tonedale Mill Site (Low Res/High Pass) Devon
The fantastic but very dilapidated Fox Brothers' Victorian complex of Tonedale Mills just outside Wellington, Devon. NOTE: This was a pre-project test flight, at high altitude and low res, the results do not reflect those of commissioned projects for clients. Do also view the detailed Coldharbour Mills model, this is the sister mill just a few miles away (also originally owned and operated by the Fox Brothers): https://sketchfab.com/3d-models/coldharbour-mill-museum-in-uffclume-devon-uk-ec386574ea8744adbabded359b8b0b93 Source: Objaverse 1.0 / Sketchfab
Large-scale Forest Stand Height mapping for the northeast of U.S. and China using L-band spaceborne repeat-pass InSAR and GEDI
<p><span>The forest height mosaic for the northeastern parts of China and U.S are generated based on a global-to-local inversion approach proposed in </span><span><span>(Yu et al., 2023)</span></span><span> by making use of Spaceborne repeat-pass InSAR and spaceborne GEDI data. The sparsely but extensively distributed LiDAR samples provided by NASA’s GEDI mission are used to parametrize the semi-empirical repeat-pass InSAR scattering model(Lei et al., 2017) and to obtain forest height estimates. Compared to our previous efforts </span><span><span>(Lei et al., 2018, Lei and Siqueira, 2022)</span></span><span>, this paper further removes the assumptions that were made given the limited availability of calibration samples at that time, and developed a new inversion approach based on a global-to-local two-stage inversion scheme. This approach allows a better use of local GEDI samples to achieve finer characterization of temporal decorrelation pattern and thus higher accuracy of forest height inversion.<span> </span>This approach is further fully automated to enable a large-scale forest mapping capability. Two forest height mosaic maps were generated for the entire northeastern regions of U.S. and China with total area of 18 million hectares and 112 million hectares, respectively. The validation of the forest height estimates demonstrates much improved accuracy achieved by the proposed approach compared to the previous efforts i.e., reducing from RMSE of 3-4 m on the order of 3-6-hectare aggregated pixel size to RMSE 3-4 m on the order of 0.81-hectare pixel size. The proposed fusion approach not only addresses the sparse spatial sampling problem inherent to the GEDI mission, but also improve the accuracy of forest height estimates compared to the GEDI-interpolated maps by a factor of 20% at 30-m resolution. The extensive evaluation of forest height inversion against LVIS LiDAR data indicates an accuracy 3-4 m on the order of 0.81 hectare over smooth areas and 4-5 m over hilly areas in U.S., whereas the forest height estimates over northeastern China are best compared with small footprint LiDAR validation data even at an accuracy of even below 3.5 m with R2 mostly above 0.6. Such a forest height inversion accuracy at sub-hectare pixel size provides promising values towards the existing and future spaceborne LiDAR (</span><span>JAXA’s MOLI, NASA’s GEDI, China’s TECIS</span><span>) and InSAR missions (</span><span>NASA-ISRO’s NISAR, JAXA’s ALOS-4 and China’s LuTan-1</span><span>). This fusion prototype can work as a cost-effective solution for public users to obtain a wall-to-wall forest height mapping at large scale when only spaceborne repeat-pass InSAR data are available and freely accessible.</span></p>
Replication package for the paper :The Relationship Between Different Python Argument-Passing Mechanisms and Fixes: An Empirical Study
<p><strong>Abstract:</strong></p> <p>Modern programming languages, such as Python, have introduced a variety of constructs and syntactical elements to make software development more efficient and concise. Examples include lambda functions, comprehension collections, or mechanisms to facilitate the passing of arguments to a function. While many of such constructs may, in principle, be beneficial for developers, recent studies have shown that certain programming constructs may affect program understanding and even induce more fixes than other changes. <br>This paper studies the effect of different Python argument-passing mechanisms to investigate their relationship with code proneness to be fixed. Specifically, we study the fix-proneness for what concerns function definitions and invocations. This is done by analyzing the evolutionary history of 200 Python projects, for a total of about 3M functions and 12M call sites. While there are varying effects for what concerns parameter declaration mechanisms, we found evidence that keyword-based argument passing is less defect-prone than positional argument passing, and this is not affected by size-related confounding factors.</p>
Research data on pass-by sound emission measurements from train units for D7.4-Susteren pilot
<p>This dataset compiles sample measurement results for the N-RSD rail pilot from D7.4-Susteren pilot project report available once approved by the EC at https://cordis.europa.eu/project/id/860441/results. The data includes train unit subtypes, pass-by sound levels, speed, weight, wheel flat indication, brake type information and a sound emission rating. </p>
North London Mill Mosquito Pass
Alma, Colorado Mosquito Pass North London Mill Historic Mining site https://www.facebook.com/nolocolorado/ Source: Objaverse 1.0 / Sketchfab
Genomics polymorphisms of Staphylococcus aureus strain NCTC 8325 in the lab stock maintained at TUM (WT), after 30 passes in BHI media (D) and after 30 passes detecting 4 -fold MIC increase to isocyanide -code I16- 3 biological replicates (A,B,C), and 3 independent colonies sequenced per replicate at the end of the experiment.
<p>Genomics polymorphisms of Staphylococcus aureus strain NCTC 8325 in the lab stock maintained at TUM (WT), after 30 passes in BHI media (D) and after 30 passes detecting 4 -fold MIC increase to isocyanide -code I16- 3 biological replicates (A,B,C), and 3 independent colonies sequenced per replicate at the end of the experiment. Determined from Illumina shotgun genomic sequencing datasets, mapping and analyses vs the reference genome of the strain https://www.ncbi.nlm.nih.gov/nuccore/NC_007795.1/</p>
Prislop Pass_WWI / II fortifications
A detailed model of the WWI / II fortifications nearby the pass. Taken using a Phantom 1 drone in the summer of 2014. Try Matcap (press key "3")(copyright Muzeul Judetean de Arheologie si Istorie a Maramuresului, Baia Mare 2014) Source: Objaverse 1.0 / Sketchfab
Prislop Pass - WW I / II fortification
A medium quality model of a World War I / II fortification system in the Prislop pass area (Strampuc) of the Maramures Mountains. The data used was aquired by a Phantom 1 drone in July 2014. Try Matcap display also (press keyboard "3") (copyright 2014 Muzeul Judetean de Istorie si Arheologie Maramures, Baia Mare) Source: Objaverse 1.0 / Sketchfab
Drone videos and their annotations of passing sheep (for counting purpose)
<p>The data below are part of the European H2020 project ICAERUS regarding the livestock monitoring use case. More information here : https://icaerus.eu/</p> <p>Counting sheep is particularly challenging for farmers with hundreds of animals in a flock. Our objective is to develop methodology based on computer vision to count sheep when they are passing in a corridor to coming back in a park or a pen. This first dataset will support our work. </p> <p>The dataset encompasses 4 .MP4 videos from drone (DJI mavic 3 Enterprise or Thermal) of around 50 sheep crossing a gate. <br>The videos were taken from 5m to 10m of height and to an horizontal distance of the gate from 0m to 10m. </p> <p>The videos come from previous datasets (https://doi.org/10.5281/zenodo.10400302) but have been modified to facilitate annotation: the duration of each video has been reduced to 30 seconds or less with 9 frames per second. Image size has been modified to 1440x1080 pixels.<br>Annotation files are available in MOTS and YOLO formats.</p> <p>This dataset encompasses the following data:<br>-----Videos: a directory were the videos are stored (4 videos, RGB images taken from 5 or 10m of altitude; images size of 1440x1080, videos taken with DJI MAVIC3T).<br>-------------crop_23.11.23-XX: a directory by flight containing the video of a unique flight, with the date (YY.MM.DD) and XX representing a mission number<br>-----MOT1.1: a directory with the annotations of cows at the MOTS format<br>-------------MOT1.1_crop_23.11.23-XX: a directory by flight containing the annotations, one annotation file referred to an unique image and have the same name except the extension<br>-----YOLO1.1: a directory with the annotations of cows at the YOLO format<br>-------------YOLO1.1_crop_23.11.23-XX: a directory by flight containing the annotations, one annotation file referred to an unique image and have the same name except the extension</p> <p>More videos will be published in the next months.</p> <p>For more information, please contact: adrien.lebreton@idele.fr </p> <p>The authors are opened to any collaborations on this topic.</p>
Fig. 5 in The Canal da Piracema at Itaipu Dam as a fish pass system
Fig. 5. Number of species sampled with the same fishing gear in the segments I, III, and Reservoir.
Fig. 1 in The Canal da Piracema at Itaipu Dam as a fish pass system
Fig. 1. Canal da Piracema and sampling stations, including the Paraná River.
Single-pass STEM-EMCD on a zone axis using apatterned aperture: Data and methodology
<p>Raw data and code accompanying the paper "Experimental progress towards single-pass STEM-EMCD on a zone axis using a patterned aperture"</p>
PASS Survey - Hett Village Pond, Durham
<p>PASS underwater acoustic survey from the rural village of Hett, County Durham. </p>
PASS data and metadata upload - from East Pit, Tairgwaith, S.Wales. Carlos Abrahams.
<p>Set of .wav files, csv and photos from four old settling lagoons at East Pit open cast. Recordde in July/Aug 2021</p>
Fig. 9 in Scientific Note Proposal of a Sluice-type Fish Pass
Fig. 9. Isosurfaces for the sluice-type fish pass with ramp region for Dh = 0.20 m.
Fig. 3 in Scientific Note Proposal of a Sluice-type Fish Pass
Fig. 3. Vertical section through one pool. Mean velocity distribution with Dh = 0.20 m.
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.