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Data for: Legacy community science data suggest reduced beached litter in response to a container deposit scheme at a local scale
<p>Marine debris is causing significant environmental harm. Legislation is being implemented to reduce litter, including schemes like container deposit legislation that incentivize the return of commonly littered items for recycling. While there is a suggestion that these schemes reduce litter, no study has examined the long-term impact on the local environment before and after implementation. This study analyzes community science data from 8 years prior to the implementation of a container deposit scheme, paired with 3 years of data afterwards, to assess the scheme's effectiveness at a local scale. Although using legacy datasets limits the generalizability of the conclusions compared to dedicated studies, the findings strongly indicate that container deposit schemes effectively manage targeted containers but have little impact on overall waste abundances. Long-term datasets like these are invaluable for assessing the impact of management efforts.</p>
Domain-adaptive Data Synthesis for Large-scale Supermarket Product Recognition
<p><strong>Domain-Adaptive Data Synthesis for Large-Scale Supermarket Product Recognition</strong></p> <p>This repository contains the data synthesis pipeline and synthetic product recognition datasets proposed in [1].</p> <p><strong>Data Synthesis Pipeline:</strong></p> <p>We provide the Blender 3.1 project files and Python source code of our data synthesis pipeline <em>pipeline.zip, </em>accompanied by the<em> </em><a href="https://github.com/taesungp/contrastive-unpaired-translation">FastCUT</a> models used for synthetic-to-real domain translation<em> models.zip</em>. For the synthesis of new shelf images, a product assortment list and product images must be provided in the corresponding directories <em>products/assortment/</em> and <em>products/img/</em>. The pipeline expects product images to follow the naming convention <em>c</em>.png, with <em>c</em> corresponding to a GTIN or generic class label (e.g., 9120050882171.png). The assortment list, <em>assortment.csv</em>, is expected to use the sample format [<em>c, w, d, h</em>], with <em>c</em> being the class label and <em>w, d,</em> and <em>h</em> being the packaging dimensions of the given product in mm (e.g., [4004218143128, 140, 70, 160]). The assortment list to use and the number of images to generate can be specified in <em>generateImages.py </em>(see comments). The rendering process is initiated by either executing <em>load.py</em> from within Blender or within a command-line terminal as a background process. </p> <p><strong>Datasets:</strong></p> <ul> <li><strong>SG3k</strong> - Synthetic GroZi-3.2k (SG3k) dataset, consisting of 10,000 synthetic shelf images with 851,801 instances of 3,234 GroZi-3.2k products. Instance-level bounding boxes and generic class labels are provided for all product instances.</li> <li><strong>SG3kt</strong> - Domain-translated version of SGI3k, utilizing GroZi-3.2k as the target domain. Instance-level bounding boxes and generic class labels are provided for all product instances.</li> <li><strong>SGI3k</strong> - Synthetic GroZi-3.2k (SG3k) dataset, consisting of 10,000 synthetic shelf images with 838,696 instances of 1,063 GroZi-3.2k products. Instance-level bounding boxes and generic class labels are provided for all product instances.</li> <li><strong>SGI3kt</strong> - Domain-translated version of SGI3k, utilizing GroZi-3.2k as the target domain. Instance-level bounding boxes and generic class labels are provided for all product instances.</li> <li><strong>SPS8k</strong> - Synthetic Product Shelves 8k (SPS8k) dataset, comprised of 16,224 synthetic shelf images with 1,981,967 instances of 8,112 supermarket products. Instance-level bounding boxes and GTIN class labels are provided for all product instances.</li> <li><strong>SPS8kt</strong> - Domain-translated version of SPS8k, utilizing SKU110k as the target domain. Instance-level bounding boxes and GTIN class labels for all product instances.</li> </ul> <p>Table 1: Dataset characteristics. </p> <table> <tbody> <tr> <td><strong>Dataset</strong></td> <td><strong>#images</strong></td> <td><strong>#products</strong></td> <td><strong>#instances</strong></td> <td> <strong>labels </strong></td> <td><strong>translation</strong></td> </tr> <tr> <td>SG3k</td> <td>10,000</td> <td>3,234</td> <td>851,801</td> <td>bounding box & generic class¹</td> <td>none</td> </tr> <tr> <td>SG3kt</td> <td>10,000</td> <td>3,234</td> <td>851,801</td> <td>bounding box & generic class¹</td> <td>GroZi-3.2k</td> </tr> <tr> <td>SGI3k</td> <td>10,000</td> <td>1,063</td> <td>838,696</td> <td>bounding box & generic class²</td> <td>none</td> </tr> <tr> <td>SGI3kt</td> <td>10,000</td> <td>1,063</td> <td>838,696</td> <td>bounding box & generic class²</td> <td>GroZi-3.2k</td> </tr> <tr> <td>SPS8k</td> <td>16,224</td> <td>8,112</td> <td>1,981,967</td> <td>bounding box & GTIN</td> <td>none</td> </tr> <tr> <td>SPS8kt</td> <td>16,224</td> <td>8,112</td> <td>1,981,967</td> <td>bounding box & GTIN</td> <td>SKU110k</td> </tr> </tbody> </table> <p> </p> <p><strong>Sample Format</strong></p> <p>A sample consists of an RGB image (i.png) and an accompanying label file (i.txt), which contains the labels for all product instances present in the image. Labels use the YOLO format [c, x, y, w, h].</p> <p>¹SG3k and SG3kt use generic pseudo-GTIN class labels, created by combining the GroZi-3.2k food product category number <em>i</em> (1-27) with the product image index <em>j </em>(j.jpg)<em>, </em>following the convention<em> i0000j </em>(e.g., 13000097).</p> <p>²SGI3k and SGI3kt use the generic GroZi-3.2k class labels from <a href="https://arxiv.org/abs/2003.06800">https://arxiv.org/abs/2003.06800</a>.</p> <p><strong>Download and Use</strong><br>This data may be used for non-commercial research purposes only. If you publish material based on this data, we request that you include a reference to our paper [1].</p> <p>[1] Strohmayer, Julian, and Martin Kampel. "Domain-Adaptive Data Synthesis for Large-Scale Supermarket Product Recognition." <em>International Conference on Computer Analysis of Images and Patterns</em>. Cham: Springer Nature Switzerland, 2023.</p> <p>BibTeX citation:</p> <pre>@inproceedings{strohmayer2023domain, title={Domain-Adaptive Data Synthesis for Large-Scale Supermarket Product Recognition}, author={Strohmayer, Julian and Kampel, Martin}, booktitle={International Conference on Computer Analysis of Images and Patterns}, pages={239--250}, year={2023}, organization={Springer} }</pre>
Potassium fertilization effects on cereal yield and soil organic carbon in agricultural ecosystems at the global scale
<p>This dataset includes the raw data of a global meta-analysis study on the responses of cereal yield and soil organic carbon to potassium fertilization in agricultural ecosystems.</p>
Unravelling arthropod movement in natural landscapes: small-scale effects of body size and weather conditions
<p>This dataset was used to run the analyses for Logghe et al. (2024). Unravelling arthropod movement in natural landscapes: small-scale effects of body size and weather conditions. Journal of Animal Ecology, 93(9), 1365-1379. <a href="https://doi.org/10.1111/1365-2656.14161">https://doi.org/10.1111/1365-2656.14161</a></p> <p>"Arthropod_movement.csv" contains the results of experimental fieldwork, where movement speed and direction were recorded for individuals belonging to multiple arthropod species. Each row contains data on taxonomy, weather conditions, movement speed and movement direction of an individual measurement. Metadata is provided for the different columns.</p> <p>"Summary_observations.csv" gives an overview of the amount of individuals that were tested for each species. This dataset separates flying and cursorial movement, since several species were able to switch between these two modes.</p> <p><strong>Abstract</strong></p> <p><strong>Background: </strong>Movement is a crucial life history component and holds direct significance to population dynamics, thereby influencing population viability. For arthropods in general, larger species achieve greater dispersal distances and large scale movements are influenced by weather conditions. However, many aspects of arthropod movement behaviour remain relatively unexplored, especially on small spatial scales. Studies on this topic are scarce and often limited to a few specific species or laboratory conditions. Consequently, it remains uncertain whether the effects of body size and weather conditions can be generalized across a wide range of arthropod species in natural environments.</p> <p><strong>Methods: </strong>To help address this knowledge gap, we conducted a field study in two nature reserves in Belgium, focusing on both flying and cursorial arthropods. Over 200 different arthropod species were captured and released within a circular setup, allowing quantification of movement speed and direction. By analysing the relationship between these movement variables and morphological (body size) as well as environmental factors (temperature and wind), we aimed to gain insights into the mechanisms driving small-scale arthropod movement under natural conditions.</p> <p><strong>Results: </strong>For flying species, movement speed is positively correlated with both body size and (tail)wind speed. In contrast, movement speed of cursorial individuals was solely positively related with temperature. Notably, movement direction was biased towards the vegetated areas where the arthropods were originally caught, suggesting an internal drive to move towards suitable habitat. This tendency was particularly strong in larger flying individuals, in smaller cursorial species and under tailwind conditions. Furthermore, both flying and cursorial taxa were hindered from moving towards the habitat by strong upwind.</p> <p><strong>Conclusions: </strong>Body size can be used as a useful proxy for not only movement speed, but orientation capacity as well. This movement-size correlation is, at least at small temporal scales, conditional to the prevailing wind conditions.</p>
Cell membrane buckling governs early-stage ridge formation in butterfly wing scales: data
<p>This repository contains the raw data for:<br> JF Totz, AD McDougal, L Wagner, S Kang, PTC So, J Dunkel, BD Wilts, and M Kolle, Cell membrane buckling governs early-stage ridge formation in butterfly wing scales, (forthcoming).</p> <p>The raw data is of a volumetric time series of scales growing on the wing of an individual <em>Vanessa cardui</em> pupa, collected with quantitative phase imaging.</p> <p>Additional details may be found in the Materials and Methods, as well as the SI, of the above publication.</p> <p> </p> <p>The companion code repository may be found on Zenodo:</p> <p>JF Totz, AD McDougal, L Wagner, S Kang, PTC So, J Dunkel, BD Wilts, and M Kolle. (Forthcoming). "Cell membrane buckling governs early-stage ridge formation in butterfly wing scales:code" (v1.0) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.8369163">https://doi.org/10.5281/zenodo.8369163</a></p> <p> </p> <p>Note that file A-40-01_11_04_34_set_115.mat was previously released in: AD McDougal, S Kang, Z Yaqoob, PTC So, and M Kolle, Data and analysis codes for “In vivo visualization of butterfly scale cell morphogenesis in Vanessa cardui.” Zenodo. https://doi.org/10.5281/zenodo.5532941. We include it here for completeness of this time series.</p>
Dataset for "Universal scaling of the dynamic BKT transition in quenched 2D Bose gases"
<p>This repository contains data and numerical simulation code for Sunami et. al., "Universal scaling of the dynamic BKT transition in quenched 2D Bose gases".</p> <p>The data is stored in the format of hdf5 (Hierarchical Data Format), which can be read from standard programming environment such as python (h5py), matlab (`h5read`), and many others.</p> <p>Numerical simulation scripts consist of functions.c, MonteCarloSampling.cpp and phase12_den_sample_time.cpp. Please see the section for numerical simulation in the Supplementary Material.</p> <p>The description for each hdf5 file in this repository is provided in readme.txt.</p>
Block 72--63k scale--Survey of India Maps
<p>300 maps of the Survey of India covering block 72.</p> <p>In the time since this first batch of maps (see the list below) was posted additional maps of Block 72 have become available. These additional maps are posted on a separate page, and can be reached by clicking the link(s) below. Included in the final set of additional maps is an Index Map showing the total 63k/50k holdings in Block 72.</p> <table> <tbody> <tr> <td><a href="../records/10460605">63k/50k Maps of South Asia--Block 72--additional 1--20240105</a></td> </tr> </tbody> </table>
Block 65--63k scale--Survey of India Maps
<p>384 maps of the Survey of India covering block 65.</p> <p>In the time since this first batch of maps (see the list below) was posted additional maps of Block 65 have become available. These additional maps are posted on a separate page, and can be reached by clicking the link(s) below. Included in the final set of additional maps is an Index Map showing the total 63k/50k holdings in Block 65.</p> <table> <tbody> <tr> <td><a href="../records/10460564">63k/50k Maps of South Asia--Block 65--additional 1--20240105</a></td> </tr> </tbody> </table>
Block 55--63k scale--Survey of India Maps
<p>412 maps of the Survey of India covering block 55.</p> <p>In the time since this first batch of maps (see the list below) was posted additional maps of Block 55 have become available. These additional maps are posted on a separate page, and can be reached by clicking the link(s) below. Included in the final set of additional maps is an Index Map showing the total 63k/50k holdings in Block 55.</p> <table> <tbody> <tr> <td><a href="../records/10460368">63k/50k Maps of South Asia--Block 55--additional 1--20240105</a></td> </tr> </tbody> </table>
44 Block--63k or 50k scale Maps of South Asia
<p>320 maps of the Survey of India covering block 44.</p> <p>In the time since this first batch of maps (see the list below) was posted additional maps of Block 44 have become available. These additional maps are posted on a separate page, and can be reached by clicking the link(s) below. Included in the final set of additional maps is an Index Map showing the total 63k/50k holdings in Block 44.</p> <table> <tbody> <tr> <td><a href="../records/10460244">63k/50k Maps of South Asia--Block 44--additional 1--20240105</a></td> </tr> <tr> <td><a href="../records/10460247">63k/50k Maps of South Asia--Block 44--additional 2--20240105</a></td> </tr> </tbody> </table>
41 Block--63k or 50k scale South Asia Maps
<p>175 maps of the Survey of India covering block 41.</p> <p>In the time since this first batch of maps (see the list below) was posted additional maps of Block 41 have become available. These additional maps are posted on a separate page, and can be reached by clicking the link(s) below. Included in the final set of additional maps is an Index Map showing the total 63k/50k holdings in Block 41.</p> <table> <tbody> <tr> <td><a href="../records/10460221">63k/50k Maps of South Asia--Block 41--additional 1--20240105</a></td> </tr> </tbody> </table>
43 Block--63k or 50k scale Maps of South Asia
<p>293 maps of the Survey of India covering block 43.</p> <p>In the time since this first batch of maps (see the list below) was posted additional maps of Block 43 have become available. These additional maps are posted on a separate page, and can be reached by clicking the link(s) below. Included in the final set of additional maps is an Index Map showing the total 63k/50k holdings in Block 43.</p> <table> <tbody> <tr> <td><a href="../records/10460235">63k/50k Maps of South Asia--Block 43--additional 1--20240105</a></td> </tr> <tr> <td><a href="../records/10460240">63k/50k Maps of South Asia--Block 43--additional 2--20240105</a></td> </tr> </tbody> </table>
48 Block--63k or 50k scale Maps of South Asia
<p>125 maps of the Survey of India covering block 48.</p> <p>In the time since this first batch of maps (see the list below) was posted additional maps of Block 48 have become available. These additional maps are posted on a separate page, and can be reached by clicking the link(s) below. Included in the final set of additional maps is an Index Map showing the total 63k/50k holdings in Block 48.</p> <table> <tbody> <tr> <td><a href="../records/10460281">63k/50k Maps of South Asia--Block 48--additional 1--20240105</a></td> </tr> </tbody> </table>
39 Block--63k or 50k scale Maps of South Asia
<p>280 maps of the Survey of India covering block 39.</p> <p>In the time since this first batch of maps (see the list below) was posted, additional maps of Block 39 have become available. These additional maps are posted on a separate page, and can be reached by clicking the links(s) below. Included in the last set of maps is an Index Map showing the total 63k/50k holdings in Block 39.</p> <table> <tbody> <tr> <td><a href="../records/10459650">63k/50k Maps of South Asia--Block 39--additional 1--20240104</a></td> </tr> <tr> <td><a href="../records/10459681">63k/50k Maps of South Asia--Block 39--additional 2--20240104</a></td> </tr> </tbody> </table> <p> </p>
38 Block--63k or 50k scale Maps of South Asia
<p>150 maps of the Survey of India covering block 38.</p> <p>In the time since this first batch of maps (see the list below) was posted additional maps of Block 38 have become available. These additional maps are posted on a separate page, and can be reached by clicking the link(s) below. Included in the final set of additional maps is an Index Map showing the total 63k/50k holdings in Block 38.</p> <table> <tbody> <tr> <td><a href="../records/10459628">63k/50k Maps of South Asia--Block 38--additional--20240104</a></td> </tr> </tbody> </table>
54 Block--63k or 50k scale Maps of South Asia
<p>330 maps of the Survey of India covering block 54.</p> <p>In the time since this first batch of maps (see the list below) was posted additional maps of Block 54 have become available. These additional maps are posted on a separate page, and can be reached by clicking the link(s) below. Included in the final set of additional maps is an Index Map showing the total 63k/50k holdings in Block 54.</p> <table> <tbody> <tr> <td><a href="../records/10460347">63k/50k Maps of South Asia--Block 54--additional 1--20240105</a></td> </tr> <tr> <td><a href="../records/10460360">63k/50k Maps of South Asia--Block 54--additional 2--20240105</a></td> </tr> </tbody> </table>
46 Block--63 or 50k scale--Survey of India Maps
<p>442 maps of the Survey of India covering block 46.</p> <p>In the time since this first batch of maps (see the list below) was posted additional maps of Block 46 have become available. These additional maps are posted on a separate page, and can be reached by clicking the link(s) below. Included in the final set of additional maps is an Index Map showing the total 63k/50k holdings in Block 46.</p> <table> <tbody> <tr> <td><a href="../records/10460261">63k/50k Maps of South Asia--Block 46--additional 1--20240105</a></td> </tr> </tbody> </table>
45 Block--63 or 50k scale--Maps of South Asia
<p>350 maps of the Survey of India covering block 45.</p> <p>In the time since this first batch of maps (see the list below) was posted additional maps of Block 45 have become available. These additional maps are posted on a separate page, and can be reached by clicking the link(s) below. Included in the final set of additional maps is an Index Map showing the total 63k/50k holdings in Block 45.</p> <table> <tbody> <tr> <td><a href="../records/10460255">63k/50k Maps of South Asia--Block 45--additional 1--20240105</a></td> </tr> </tbody> </table>
40 Block--63k or 50k scale Maps of South Asia
<p>194 maps of the Survey of India covering block 40.</p> <p>In the time since this first batch of maps (see the list below) was posted additional maps of Block 40 have become available. These additional maps are posted on a separate page, and can be reached by clicking the link(s) below. Included in the final set of additional maps is an Index Map showing the total 63k/50k holdings in Block 40</p> <table> <tbody> <tr> <td><a href="../records/10460214">63k/50k Maps of South Asia--Block 40--aditional 1--20240105</a></td> </tr> </tbody> </table> <p> </p>
53 Block--63k or 50k scale Survey of India Maps
<p>515 maps of the Survey of India covering block 53.</p> <p>In the time since this first batch of maps (see the list below) was posted additional maps of Block 53 have become available. These additional maps are posted on a separate page, and can be reached by clicking the link(s) below. Included in the final set of additional maps is an Index Map showing the total 63k/50k holdings in Block 53.</p> <table> <tbody> <tr> <td><a href="../records/10460334">63k/50k Maps of South Asia--Block 53--20240105</a></td> </tr> </tbody> </table>
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.