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.
56
datasets available to search
ShareScore release 0.9.0
Dataset results
56 results for “Kiln”
Kingdom of Saudi Arabia. al-Ḥasāʾ, Jabal al-Qāra (جَبَل ٱلْقَارَة). Pottery production, kiln in operation, 1970.
<p>[KSA QAR 1970.13] Kingdom of Saudi Arabia. al-Ḥasāʾ, Jabal al-Qāra. Pottery production, kiln in operation, 1970.</p>
Brick Kiln Dataset for Pakistan's IGP Region Using AI
<p>This dataset represents the first geospatial mapping of brick kiln sites in the IGP region of Pakistan, providing an invaluable resource for understanding the spatial distribution of these sites. Each data point captures a brick kiln's precise location, including coordinates, state, and other important information, standardized in Coordinate Reference System (CRS) EPSG:4326 (WGS 84). This dataset, to the best of our knowledge, is the first of its kind to consolidate and geolocate brick kiln operations across this region, where air pollution impacts from kiln emissions are a significant environmental and public health concern.</p> <p>In addition to the primary geolocation data, the dataset also includes an initial, secondary estimation of emissions (PM10, PM2.5, NOx, and SOx) from these sites. This supplementary information supports preliminary risk assessments, emphasizing proximity-based exposure for populations and sensitive areas (e.g., schools, hospitals) within a 1 km radius of each kiln site. </p> <p>The dataset is made available in multiple formats to facilitate wide usage across spatial analysis platforms:</p> <ul> <li><strong>Geojson (.geojson)</strong></li> <li><strong>Shapefile (.shp)</strong></li> <li><strong>Comma-Separated Values (.csv)</strong></li> </ul> <p><strong>Metadata:</strong></p> <ul> <li>Geographic Coverage: IGP - Pakistan</li> <li>CRS: EPSG:4326 (WGS 84)</li> </ul> <p><strong>Data Structure:</strong><br><br>"Main" files have <strong><em>Basic ID & Location </em></strong>information, while the "Emission" files have <strong><em>Basic ID & Location + Production & Emission </em></strong>information. </p> <p><strong>Basic ID & Location</strong></p> <ul> <li><code>id</code>: Unique identifier for the kiln.</li> <li><code>lat</code>: Latitude of the kiln location.</li> <li><code>lon</code>: Longitude of the kiln location.</li> <li><code>state</code>: State where the kiln is located.</li> <li><code>type</code>: Type of kiln (e.g., FCBK).</li> </ul> <p><strong>Production Data</strong></p> <ul> <li><code>avg_bricks</code>: Average number of bricks produced daily. Refer to the GitHub repository for detailed methodology.</li> <li><code>seasonprod(bricks)</code>: Seasonal production of bricks in kilograms (excluding monsoon and smog days, considering 215 operational days).</li> </ul> <p><strong>Daily Emissions</strong></p> <ul> <li><code>pm2.5d(kg)</code>: Daily PM2.5 emissions in kilograms.</li> <li><code>pm10d(kg)</code>: Daily PM10 emissions in kilograms.</li> <li><code>noxd(kg)</code>: Daily NOx emissions in kilograms.</li> <li><code>soxd(kg)</code>: Daily SOx emissions in kilograms.</li> </ul> <p><strong>Seasonal Emissions</strong></p> <ul> <li><code>pm2.5s(kg)</code>: Seasonal PM2.5 emissions in kilograms.</li> <li><code>pm10s(kg)</code>: Seasonal PM10 emissions in kilograms.</li> <li><code>noxs(kg)</code>: Seasonal NOx emissions in kilograms.</li> <li><code>soxs(kg)</code>: Seasonal SOx emissions in kilograms.</li> </ul> <p><strong>Emission Factors</strong></p> <ul> <li><code>emf_coal(pm2.5)</code>: Emission factor for PM2.5 using coal as fuel (kg).</li> <li><code>emf_coal(pm10)</code>: Emission factor for PM10 using coal as fuel (kg).</li> <li><code>emf_coal(nox)</code>: Emission factor for NOx using coal as fuel (kg).</li> <li><code>emf_coal(so2)</code>: Emission factor for SOx using coal as fuel (kg).</li> <li><code>emf_coal(pm2.5)</code>: Emission factor for PM2.5 using biomass as fuel (kg).</li> <li><code>emf_coal(pm10)</code>: Emission factor for PM10 using biomass as fuel (kg).</li> <li><code>emf_coal(nox)</code>: Emission factor for NOx using biomass as fuel (kg).</li> <li><code>emf_coal(so2)</code>: Emission factor for SOx using biomass as fuel (kg).</li> </ul> <p><strong>Seasonal Emissions by Fuel Type</strong></p> <ul> <li><code>pm2.5s_c(kg)</code>: Seasonal PM2.5 emissions in kilograms using coal as a fuel.</li> <li><code>pm10s_c(kg)</code>: Seasonal PM10 emissions in kilograms using coal as a fuel.</li> <li><code>noxs_c(kg)</code>: Seasonal NOx emissions in kilograms using coal as a fuel.</li> <li><code>so2s_c(kg)</code>: Seasonal SO2 emissions in kilograms using coal as a fuel.</li> <li><code>pm2.5s_b(kg)</code>: Seasonal PM2.5 emissions in kilograms using biomass as a fuel.</li> <li><code>pm10s_b(kg)</code>: Seasonal PM10 emissions in kilograms using biomass as a fuel.</li> <li><code>noxs_b(kg)</code>: Seasonal NOx emissions in kilograms using biomass as a fuel.</li> <li><code>so2s_b(kg)</code>: Seasonal SO2 emissions in kilograms using biomass as a fuel.</li> </ul> <p><strong>Funding Sources</strong>: This research and data collection were funded by Amazon Web Services (AWS) and Smith School of Enterprise and The Environment (University of Oxford). </p>
Kingdom of Saudi Arabia. al-Ḥasāʾ, Jabal al-Qāra (جَبَل ٱلْقَارَة). Pottery production, kiln mouth being fed, 1970.
<p>[KSA QAR 1970.15] Kingdom of Saudi Arabia. al-Ḥasāʾ, Jabal al-Qāra. Pottery production, kiln mouth being fed, as documented 1970.</p>
Kingdom of Saudi Arabia. al-Ḥasāʾ, Jabal al-Qāra (جَبَل ٱلْقَارَة). Pottery production, kiln, 1968
<p>[KSA QAR 1968.25] Kingdom of Saudi Arabia. al-Ḥasāʾ, Jabal al-Qāra (جَبَل ٱلْقَارَة). Pottery production, kiln, empty and seen from above, 1968.</p>
Brick Kiln Dataset for Pakistan's IGP Region Using AI
<p>This dataset represents the first geospatial mapping of brick kiln sites in the IGP region of Pakistan, providing an invaluable resource for understanding the spatial distribution of these sites. Each data point captures a brick kiln's precise location, including coordinates, state, and other important information, standardized in Coordinate Reference System (CRS) EPSG:4326 (WGS 84). This dataset, to the best of our knowledge, is the first of its kind to consolidate and geolocate brick kiln operations across this region, where air pollution impacts from kiln emissions are a significant environmental and public health concern.</p> <p>In addition to the primary geolocation data, the dataset also includes an initial, secondary estimation of emissions (PM10, PM2.5, NOx, and SOx) from these sites. This supplementary information supports preliminary risk assessments, emphasizing proximity-based exposure for populations and sensitive areas (e.g., schools, hospitals) within a 1 km radius of each kiln site. </p> <p>The dataset is made available in multiple formats to facilitate wide usage across spatial analysis platforms:</p> <ul> <li><strong>Geojson</strong></li> <li><strong>Shapefile (SHP)</strong></li> <li><strong>Comma-Separated Values (CSV)</strong></li> </ul> <p><strong>Metadata:</strong></p> <ul> <li>Geographic Coverage: IGP - Pakistan</li> <li>CRS: EPSG:4326 (WGS 84)</li> <li>File Formats: GeoJSON, Shapefile (SHP), CSV<br>- Columns: <p>1. id: Unique identifier for each brick kiln site.</p> <p>2. lat: Latitude coordinate of the brick kiln location, in decimal degrees (CRS: EPSG:4326).</p> <p>3. lon: Longitude coordinate of the brick kiln location, in decimal degrees (CRS: EPSG:4326).</p> <p>4. type: Type or classification of the brick kiln (Either FCBK or ZigZag)</p> <p>5. state: Administrative state or region where the brick kiln is located.</p> <p>6. schools1km: Number of schools located within a 1 km radius of the brick kiln, indicating nearby educational facilities potentially exposed to emissions.</p> <p>7. hosp1km: Number of hospitals within a 1 km radius of the brick kiln, indicating health facilities potentially affected by air pollution exposure.</p> <p>8. pop1km: Estimated population within a 1 km radius of the brick kiln, indicating the number of individuals potentially at risk from emissions.</p> <p>9. avg_bricks: Average number of kilns in operation per day.</p> <p>10. dailyprod(kg): Estimated daily production weight of bricks in kilograms. The production is calculated based on the brick weight multiplied by a factor of 3.</p> <p>11. pm2.5d(kg): Daily emissions estimate of particulate matter (PM2.5) in kilograms, representing fine particles with a diameter of 2.5 micrometers or smaller, which are a health hazard.</p> <p>12. pm10d(kg): Daily emissions estimate of particulate matter (PM10) in kilograms, representing inhalable particles with a diameter of 10 micrometers or smaller.</p> <p>13. noxd(kg): Daily emissions estimate of nitrogen oxides (NOx) in kilograms, a pollutant contributing to respiratory issues and environmental harm.</p> <p>14. soxd(kg): Daily emissions estimate of sulfur oxides (SOx) in kilograms, a pollutant associated with respiratory problems and acid rain.</p> <p>15. seasonprod(kg): Seasonal production estimate in kilograms, representing total brick production over a defined seasonal period (Outside of Monsoon and Smog Season). </p> <p>16. pm2.5s(kg): Seasonal emissions estimate of particulate matter (PM2.5) in kilograms over the specified seasonal period.</p> <p>17. pm10s(kg): Seasonal emissions estimate of particulate matter (PM10) in kilograms over the specified seasonal period.</p> <p>18. noxs(kg): Seasonal emissions estimate of nitrogen oxides (NOx) in kilograms over the specified seasonal period.</p> <p>19. soxs(kg): Seasonal emissions estimate of sulfur oxides (SOx) in kilograms over the specified seasonal period.</p> <p> </p> </li> </ul> <p><strong>Funding Sources</strong>: This research and data collection were funded by Amazon Web Services (AWS) and Smith School of Enterprise and The Environment (University of Oxford). </p>
BRAIN Journal-Participative Teaching with Mobile Devices and Social Networks for K-12 Children-Figure 2. An experiment with sunken up-draught kilns, carried out by Professor Dragoş Gheorghiu in Vădastra
<p>The second stage was represented by the physical reconstruction at real scale of a prehistoric house and of a corner of a Roman villa rustica, designed and coordinated by Professor Dragoş Gheorghiu. In these physical reconstructions video recordings and photo shoots were produced by specialist members of the project team, in order to be used later as augmentations in the AR application and for distribution by means of SNS. </p>
BRAIN Journal-Participative Teaching with Mobile Devices and Social Networks for K-12 Children-Figure 4. Augmented Reality with video movie and social media (a vertical loom in front of two reconstructed kilns and a wall of a Roman villa rustica)
<p>The third stage was represented by the 3D virtual reconstruction process of the historical contexts, in our case a prehistoric village and a complete Roman villa rustica, with the help of students from the Design Department, NUA, coordinated by Professor Arch. Andreea Hasnaş. The AR application was created and tested on two commercial AR platforms, Layar and Junaio, and recently moved on the Aurasma platform (https://www.aurasma.com/). The POIs were augmented with the 3D virtual reconstructions, and also with 2D images and videos representing 3D virtual tours and technological processes (Figures 3, 4, 5). The AR application was connected to teachers’ emails and to Twitter, Facebook and Google+ project’s pages. </p>
Kingdom of Saudi Arabia. al-Ḥasāʾ, Jabal al-Qāra (جَبَل ٱلْقَارَة). Kiln.
<p>Kingdom of Saudi Arabia. al-Ḥasāʾ, Jabal al-Qāra (جَبَل ٱلْقَارَة). Kiln being unloaded, 1969.</p>
GEO-Bench: m-brick-kiln
<p><strong>GEO-Bench: m-brick-kiln dataset</strong></p> <p> This dataset has been modified to be included in the <a href="https://zenodo.org/communities/geo-bench/">GEO-Bench dataset</a>. All changes with respect to the original version are documented at <a href="https://github.com/ServiceNow/geo-bench">https://github.com/ServiceNow/geo-bench</a>. </p> <p> The original version of this dataset is due to Lee et al. (2021) and is available at: <a href="https://sustainlab-group.github.io/sustainbench/docs/datasets/sdg13/brick_kiln.html">https://sustainlab-group.github.io/sustainbench/docs/datasets/sdg13/brick_kiln.html</a>. </p> <p> See the LICENSE file provided alongside this dataset for applicable licensing information. </p>
Toorlectra - Lime kiln example 2
Lime kilns were structures in which limestone was heated to a high temperature to produce quicklime. lime kilns were filled from the top, and could also be unloaded from the top, access to the top was necessary. Therefore, kilns were generally constructed on either a rock face or earthen bank to permit this. Ramps were sometimes built to allow access. Source: Objaverse 1.0 / Sketchfab
Kiln Barn - Raiders Road
A 3D model of a kiln barn at Upper Gairloch, on the Raiders Road that runs through the Galloway Forest Park. We cleared off vegetation and investigated through the excavation of test pits by local volunteers in March 2019 as part of the Can You Dig It community archaeology project. The kiln barn was first shown as a ruin on the 1st edition Ordnance Survey of 1852 so may date to the early 19th or late 18th centuries. The kiln was used to dry cereal crops, such as corn or oats, and the barn may have been used for either storage or possibly threshing. More information on Can You Dig It can be found at https://gallowayglens.org/projects/community-archaeology-programme-can-you-dig-it/ Source: Objaverse 1.0 / Sketchfab
Kiln Flue 02 Med
A model of the possible lime kiln flue feature at Lindisfarne, captured on September 19th, 2021, taken with a half-section of the flue contents Source: Objaverse 1.0 / Sketchfab
Lime Kiln Excavation Final
A high quality cloud/medium mesh build of the excavated section of the probable lime kiln at Lindisfarne. This model was constructed from 146 images taken with the Scann3D app for Android, and was constructed using Metashape for MacOS. The images were shot on the last day of excavation of the 2021 season, September 26th, 2021. Source: Objaverse 1.0 / Sketchfab
Lindisfarne Lime Kiln Excavation Final - HQ
A high quality cloud/medium mesh build of the excavated section of the probable lime kiln at Lindisfarne. This model was constructed from ~165 images taken with the Scann3D app for Android, and was assembled using Metashape for MacOS. The images were shot on the last day of excavation of the 2021 season, September 26th, 2021. Source: Objaverse 1.0 / Sketchfab
Kiln - Anasazi
This kiln is lined with vertical flat stones to define the rectangular shape. The dimensions are about 0.75 x 2.6 m. There is a significant amount of dark carbon rich dirt directly adjacent to the kiln depression. Source: Objaverse 1.0 / Sketchfab
Lindisfarne lime kiln, 2021_Sept_19
Possible 11th century lime kiln excavation at Lindisfarne Priory, Holy Island, Northumberland, England, UK Created using 3D Scanner for Android Captured on September 19th, 2021 Source: Objaverse 1.0 / Sketchfab
Kiln Flue 01 Medium
Excavation of the possible lime kiln feature and kiln flue at Lindisfarne, taken on September 20th, 2021 Source: Objaverse 1.0 / Sketchfab
Benchmark Dataset (2D/3D) of an Industrial Rotary Kiln Combustion Chamber with Refuse-Derived Fuel Particles from a Light-Field-Camera
<p>Benchmark dataset for the detection of fuel particles (refuse-derived fuels - RDF) in 2D and 3D image data in a rotary kiln combustion chamber.</p> <p>Organization:<br> 01_Images: 50 Images (2D)<br> 02_Labels: Labeled ground truth image with rotary kiln, burner flame, burning particle in air, non-burning particle in air and particle on wall.<br> 03_Particle List: Lists of the coordinates of the center of gravity of particles in image coordinates.<br> 04_Point Cloud: 3D point cloud for the 50 images.<br> 05_Matlab: Code and visualization examples.<br> 06_All_Data: Images and 3D point cloud for 2010 images of a sequence containing the images with ground truth (see TXT file).</p>
A Tongguan Kiln Buddhist Statue
A nice Tongguan Kiln Buddhist Statue created by the Chinese intangible cultural heritage master Liu. Source: Objaverse 1.0 / Sketchfab
Hoffmann Kiln
This is one of the entrances into a now-disused [Hoffmann Kiln](https://en.wikipedia.org/wiki/Hoffmann_kiln) originally used for making bricks. This site is near the village of Horeb close to Llanelli, South Wales and I've written about it here https://theretiredengineer.wordpress.com/2019/09/08/horeb-brickworks/ Model created from 122 images extracted from a 2 minute video using [openMVG](https://github.com/openMVG/openMVG) and [openMVS](https://github.com/cdcseacave/openMVS) Source: Objaverse 1.0 / Sketchfab
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.