cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4120032
title: Pollen Video Library for Benchmarking Detection, Classification, Tracking and Novelty Detection Tasks

description: Dataset description
This dataset contains microscopic images and videos of pollen gathered between Feb. and Aug. 2020 in Graz, Austria.
Pollen images of 16 types: ...images_16_types.zip

Acer Pseudoplatanus
Aesculus Carnea
Alnus
Anthoxanthum
Betula Pendula
Brassica
Carpinus
Corylus
Dactylis Glomerata
Fraxinus
Pinus Nigra
Platanus
Populus Nigra
Prunus Avium
Sequoiadendron Giganteum
Taxus Baccata
Pollen video library ...pollen_video_library.zip

Each type of pollen is in a separate folder, there may be multiple videos per type.
In each pollen folder, we included images cropped from the videos by YOLO object detection algorithm trained on a subset of pollen images as described in [1].
Cropped file name structure [Video file name]_[TrackingID]_[Image index of a grain]_[Frame index in video]

Example, if a grain has 5 images, the file name would be:  Anthoxanthum-grass-20200530-122652_0000000_001_00001.jpg Anthoxanthum-grass-20200530-122652_0000000_002_00002.jpg ... Anthoxanthum-grass-20200530-122652_0000000_005_00005.jpg
Field data over 3 days are gathered in Graz in spring 2020. ...pollen_field_data.zip
 
Version 2:
For experiments of mitigating the distribution shift of pollen identification on field data, there are 5 types selected from field data and manually labeled by the expert. The data are zipped in "the manual_labeled_field_data_5_types.zip" 
The "images_5_types_9010_train.zip" and "images_5_types_9010_val.zip" contain 5 types selected from library data (images_16_types.zip),  and these correspond to field data. 
The "images_3_types_for_ablation_study.zip" contains data on 3 levels of pollen grain hydration. These data are used for the ablation study of model generalization in pollen identification. 
Sample code to load the data and visualize the images is in ...plot_pollen_sample.py. Download and extract the file ...images_16_types.zip in the same folder as ...plot_pollen_sample.py to run the example.
Dependecies:

opencv
numpy
matplotlib
Credit
[1] N. Cao, M. Meyer, L. Thiele, and O. Saukh. 2020. Automated Pollen Detection with an Affordable Technology. In Proceedings of the International Conference on Embedded Wireless Systems and Networks (EWSN). 108–119.
@inproceedings{namcao2020pollen,  title = {Automated Pollen Detection with an Affordable Technology},  author = {Nam Cao and Matthias Meyer and Lothar Thiele and Olga Saukh},  booktitle = {Proceedings of the International Conference on Embedded Wireless Systems and Networks (EWSN)},  pages={108–119}  month = {2},  year = {2020}, }
description: Appears in the Proceedings of the 3rd Workshop on Data Acquisition To Analysis (DATA '20)
DOI: 10.5281/zenodo.4120033
title: Pollen Video Library for Benchmarking Detection, Classification, Tracking and Novelty Detection Tasks

description: <strong>Dataset description</strong> This dataset contains microscopic images and videos of pollen gathered between Feb. and Aug. 2020 in Graz, Austria. Pollen images of 16 types: <code>...images_16_types.zip</code> Acer Pseudoplatanus Aesculus Carnea Alnus Anthoxanthum Betula Pendula Brassica Carpinus Corylus Dactylis Glomerata Fraxinus Pinus Nigra Platanus Populus Nigra Prunus Avium Sequoiadendron Giganteum Taxus Baccata Pollen video library <code>...pollen_video_library.zip</code> Each type of pollen is in a separate folder, there may be multiple videos per type. In each pollen folder, we included images cropped from the videos by YOLO object detection algorithm trained on a subset of pollen images as described in [1]. Cropped file name structure <code>[Video file name]_[TrackingID]_[Image index of a grain]_[Frame index in video]</code> Example, if a grain has 5 images, the file name would be: <pre><code> Anthoxanthum-grass-20200530-122652_0000000_001_00001.jpg Anthoxanthum-grass-20200530-122652_0000000_002_00002.jpg ... Anthoxanthum-grass-20200530-122652_0000000_005_00005.jpg </code></pre> Field data over 3 days are gathered in Graz in spring 2020. <code>...pollen_field_data.zip</code> Sample code to load the data and visualize the images is in <code>...plot_pollen_sample.py</code>. Download and extract the file <code>...images_16_types.zip</code> in the same folder as <code>...plot_pollen_sample.py</code> to run the example. <strong>Dependecies:</strong> opencv numpy matplotlib <strong>Credit</strong> [1] N. Cao, M. Meyer, L. Thiele, and O. Saukh. 2020. Automated Pollen Detection with an Affordable Technology. In Proceedings of the International Conference on Embedded Wireless Systems and Networks (EWSN). 108–119. <pre><code>@inproceedings{namcao2020pollen, title = {Automated Pollen Detection with an Affordable Technology}, author = {Nam Cao and Matthias Meyer and Lothar Thiele and Olga Saukh}, booktitle = {Proceedings of the International Conference on Embedded Wireless Systems and Networks (EWSN)}, pages={108–119} month = {2}, year = {2020}, }</code></pre>
description: Appears in the Proceedings of the 3rd Workshop on Data Acquisition To Analysis (DATA '20)
DOI: 10.21223/jknwbc
title: Dataset for: Adaptation and Efficiency Trials (CIP395123.6) - Season I

description: In 2019-2020 season, three clones with high levels of resistance to late blight were evaluated in adaptation and efficiency trials for tuber yield, dry matter content, frying and baking quality throughout Peru in six locations, compared to two varieties planted by farmers. and very well accepted by final consumers, Canchan and Unica, these are currently also used for frying in sticks, but without stability in all crops due to the genotype x environment interaction. The randomized complete block design was used with three replications of 150 plants, the fertilization dose was 200-220-180 Kg of NPK, using potassium sulfate as a source of potassium to improve frying quality. At harvest, samples were taken to determine dry matter, reducing sugar content, traditional and blanched frying color, and baking quality. The clone was equal to or superior to the controls for the yield of tubers, it presented good quality of frying color in all localities compared to the control varieties that did not present good quality of frying color in all localities, It is expected to complete all the documents requested by the Peruvian Seed Authority (SENASA) to be registered as a new potato variety with resistance to late blight and quality for frying and / or baking.
DOI: 10.21223/l9wdyd
title: Dataset for: Adaptation and Efficiency Trials (CIP395123.6) - Season II

description: In the 2020-2021 season, three clones with high levels of resistance to late blight were evaluated in adaptation and efficiency tests for tuber yield, dry matter content, frying and baking quality throughout Peru in six locations, compared Two varieties planted by farmers and very well accepted by end consumers, Canchan and Unica, are currently also used for frying in sticks, but without stability in all crops due to the genotype x environment interaction. The randomized complete block design was used with three replications of 150 plants, the fertilization dose was 200-220-180 Kg of NPK, using potassium sulfate as a source of potassium to improve frying quality. At harvest, samples were taken to determine the dry matter, reducing sugar content, traditional and blanched fixture color, and baking quality. The clone was equal to or superior to the check for the yield of tubers, it presented good quality of frying color in all localities compared to the control varieties that did not present good quality of frying color in all localities, It is expected to complete all the documents requested by the Peruvian Seed Authority (SENASA) to be registered as a new potato variety with resistance to late blight and quality for frying and/or baking. These experiments correspond to the second year
DOI: 10.21223/knc22e
title: Dataset for: Adaptation and Efficiency Trials (CIP396026.101) - Season I

description: In 2019-2020 season, three clones with high levels of resistance to late blight were evaluated in adaptation and efficiency trials for tuber yield, dry matter content, frying and baking quality throughout Peru in six locations, compared to two varieties planted by farmers. and very well accepted by final consumers, Canchan and Unica, these are currently also used for frying in sticks, but without stability in all crops due to the genotype x environment interaction. The randomized complete block design was used with three replications of 150 plants, the fertilization dose was 200-220-180 Kg of NPK, using potassium sulfate as a source of potassium to improve frying quality. At harvest, samples were taken to determine dry matter, reducing sugar content, traditional and blanched frying color, and baking quality. The clone was equal to or superior to the controls for the yield of tubers, it presented good quality of frying color in all localities compared to the control varieties that did not present good quality of frying color in all localities, It is expected to complete all the documents requested by the Peruvian Seed Authority (SENASA) to be registered as a new potato variety with resistance to late blight and quality for frying and / or baking.
DOI: 10.21223/gqupbq
title: Dataset for: Adaptation and Efficiency Trials (CIP396026.101) - Season II

description: In the 2020-2021 season, three clones with high levels of resistance to late blight were evaluated in adaptation and efficiency tests for tuber yield, dry matter content, frying and baking quality throughout Peru in six locations, compared Two varieties planted by farmers and very well accepted by end consumers, Canchan and Unica, are currently also used for frying in sticks, but without stability in all crops due to the genotype x environment interaction. The randomized complete block design was used with three replications of 150 plants, the fertilization dose was 200-220-180 Kg of NPK, using potassium sulfate as a source of potassium to improve frying quality. At harvest, samples were taken to determine the dry matter, reducing sugar content, traditional and blanched fixture color, and baking quality. The clone was equal to or superior to the check for the yield of tubers, it presented good quality of frying color in all localities compared to the control varieties that did not present good quality of frying color in all localities, It is expected to complete all the documents requested by the Peruvian Seed Authority (SENASA) to be registered as a new potato variety with resistance to late blight and quality for frying and/or baking. These experiments correspond to the second year
DOI: 10.21223/nbqxm3
title: Dataset for: Adaptation and Efficiency Trials (CIP396034.103) - Season I

description: In 2019-2020 season, three clones with high levels of resistance to late blight were evaluated in adaptation and efficiency trials for tuber yield, dry matter content, frying and baking quality throughout Peru in six locations, compared to two varieties planted by farmers. and very well accepted by final consumers, Canchan and Unica, these are currently also used for frying in sticks, but without stability in all crops due to the genotype x environment interaction. The randomized complete block design was used with three replications of 150 plants, the fertilization dose was 200-220-180 Kg of NPK, using potassium sulfate as a source of potassium to improve frying quality. At harvest, samples were taken to determine dry matter, reducing sugar content, traditional and blanched frying color, and baking quality. The clone was equal to or superior to the controls for the yield of tubers, it presented good quality of frying color in all localities compared to the control varieties that did not present good quality of frying color in all localities, It is expected to complete all the documents requested by the Peruvian Seed Authority (SENASA) to be registered as a new potato variety with resistance to late blight and quality for frying and / or baking.
DOI: 10.21223/wclrki
title: Dataset for: Adaptation and Efficiency Trials (CIP396034.103) - Season II

description: In 2019-2020 season, three clones with high levels of resistance to late blight were evaluated in adaptation and efficiency trials for tuber yield, dry matter content, frying and baking quality throughout Peru in six locations, compared to two varieties planted by farmers. and very well accepted by final consumers, Canchan and Unica, these are currently also used for frying in sticks, but without stability in all crops due to the genotype x environment interaction. The randomized complete block design was used with three replications of 150 plants, the fertilization dose was 200-220-180 Kg of NPK, using potassium sulfate as a source of potassium to improve frying quality. At harvest, samples were taken to determine dry matter, reducing sugar content, traditional and blanched frying color, and baking quality. The clone was equal to or superior to the controls for the yield of tubers, it presented good quality of frying color in all localities compared to the control varieties that did not present good quality of frying color in all localities, It is expected to complete all the documents requested by the Peruvian Seed Authority (SENASA) to be registered as a new potato variety with resistance to late blight and quality for frying and / or baking.
DOI: 10.26180/21608028
title: Supporting data for Robledo-Ruiz et al. (2023)

description: Supporting data for manuscript:Robledo-Ruiz D. A., Austin L., Amos J. N., Castrejón-Figueroa J., Magrath M. J. L., Sunnucks P. & Pavlova A. (2023) <b>Easy-to-use R functions to separate reduced-representation genomic datasets into sex-linked and autosomal loci, and conduct sex-assignment. </b>Molecular Ecology Resources. https://doi.org/10.1111/1755-0998.13844<br>Data usage:The three directories have the datasets and scripts for the eastern yellow robin (EYR), yellow-tufted honeyeater (YTH) and Leadbeater's possum (LBP), respectively.<br><b>*_Results.Rmd</b>R script to process outputs from 'standard regime' and 'removing sex-linked loci' regime.<br><b>filtering_regime_using_filter.sex.linked</b>Folder with the script and input data required for 'Removing sex-linked loci' filtering regime.<br><b>filtering_regime_notusing_filter.sex.linked</b>Folder with the script and input data required for 'Standard' filtering regime.<br><b>filter.sex.linked_requirements</b>Folder with the script and input data required to replicate the analyses that investigated the minimum requirements for functions <i>filter.sex.linked</i> and <i>infer.sex</i><br><b>filter.sex.linked_validation</b>Folder with the script and input data required to replicate the analyses that validated the results of function <i>filter.sex.linked</i>
DOI: 10.26180/21608028.v6
title: Supporting data for Robledo-Ruiz et al. (2023)

description: Supporting data for manuscript:Robledo-Ruiz D. A., Austin L., Amos J. N., Castrejón-Figueroa J., Magrath M. J. L., Sunnucks P. & Pavlova A. (2023) <b>Easy-to-use R functions to separate reduced-representation genomic datasets into sex-linked and autosomal loci, and conduct sex-assignment. </b>Molecular Ecology Resources. https://doi.org/10.1111/1755-0998.13844<br>Data usage:The three directories have the datasets and scripts for the eastern yellow robin (EYR), yellow-tufted honeyeater (YTH) and Leadbeater's possum (LBP), respectively.<br><b>*_Results.Rmd</b>R script to process outputs from 'standard regime' and 'removing sex-linked loci' regime.<br><b>filtering_regime_using_filter.sex.linked</b>Folder with the script and input data required for 'Removing sex-linked loci' filtering regime.<br><b>filtering_regime_notusing_filter.sex.linked</b>Folder with the script and input data required for 'Standard' filtering regime.<br><b>filter.sex.linked_requirements</b>Folder with the script and input data required to replicate the analyses that investigated the minimum requirements for functions <i>filter.sex.linked</i> and <i>infer.sex</i><br><b>filter.sex.linked_validation</b>Folder with the script and input data required to replicate the analyses that validated the results of function <i>filter.sex.linked</i>
DOI: 10.26180/21608028.v5
title: Supporting data for Robledo-Ruiz et al. (submitted)

description: Supporting data for manuscript: Robledo-Ruiz D. A., Austin L., Amos J. N., Castrejón-Figueroa J., Magrath M. J. L., Sunnucks P. & Pavlova A. (submitted) <strong>Easy-to-use R functions to separate reduced-representation genomic datasets into sex-linked and autosomal loci, and conduct sex-assignment.</strong> <br> Data usage: The three directories have the datasets and scripts for the eastern yellow robin (EYR), yellow-tufted honeyeater (YTH) and Leadbeater's possum (LBP), respectively. <br> <strong>*_Results.Rmd</strong> R script to process outputs from 'standard regime' and 'removing sex-linked loci' regime. <br> <strong>filtering_regime_using_filter.sex.linked</strong> Folder with the script and input data required for 'Removing sex-linked loci' filtering regime. <br> <strong>filtering_regime_notusing_filter.sex.linked</strong> Folder with the script and input data required for 'Standard' filtering regime. <br> <strong>filter.sex.linked_requirements</strong> Folder with the script and input data required to replicate the analyses that investigated the minimum requirements for functions <em>filter.sex.linked</em> and <em>infer.sex</em> <br> <strong>filter.sex.linked_validation</strong> Folder with the script and input data required to replicate the analyses that validated the results of function <em>filter.sex.linked</em>
DOI: 10.34740/kaggle/ds/3960486
title: 🇮🇳 Flipkart Google Store App Reviews
DOI: 10.6084/m9.figshare.24137925
title: Dataset of 50 prostate slides

description: Dataset of 50 prostate slides for the paper entitled "Semantic segmentation of gleason patterns in prostate adenocarcinoma exploiting an ensemble model of attention-based U-Net"
DOI: 10.6084/m9.figshare.24500965
title: Test Data Dummy CSV

description: This CSV represents a dummy dataset to test the functionality of trusted repository search capabilities and of research data governance practices. The associated dummy dissertation is entitled <i>Financial Econometrics Dummy Dissertation. </i>The dummy file is a 7KB CSV containing 5000 rows of notional demographic tabular data.
DOI: 10.6084/m9.figshare.24500965.v1
title: Test Data Dummy CSV

description: This CSV represents a dummy dataset to test the functionality of trusted repository search capabilities and of research data governance practices. The associated dummy dissertation is entitled <i>Financial Econometrics Dummy Dissertation. </i>The dummy file is a 7KB CSV containing 5000 rows of notional demographic tabular data.
DOI: 10.5519/qd.ltlzgzls
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (21 records)
DOI: 10.6084/m9.figshare.24502690
title: The genome of Helicoverpa armigera of Xinjiang and South China

description: The genome of Helicoverpa armigera of Xinjiang and South China
DOI: 10.6084/m9.figshare.24502690.v1
title: The genome of Helicoverpa armigera of Xinjiang and South China

description: The genome of Helicoverpa armigera of Xinjiang and South China
DOI: 10.6084/m9.figshare.24502669
title: The first chromosome-level genome of the endangered <i>C. chinensis</i>

description: The first chromosome-level genome of the endangered <i>C. chinensis</i>
DOI: 10.6084/m9.figshare.24502723
title: Test Data of "Improved Decomposition-coordination Interior Point Method for Non-convex Integrated Electricity and Gas System Distributed Dispatch"

description: Test Data of "Improved Decomposition-coordination Interior Point Method for Non-convex Integrated Electricity and Gas System Distributed Dispatch"
DOI: 10.6084/m9.figshare.24500974
title: Test Data Dummy JSON

description: This JSON represents a dummy dataset to test the functionality of trusted repository search capabilities and of research data governance practices. The associated dummy dissertation is entitled <i>Data Science Dummy Dissertation. </i>The dummy file is a 1KB JSON containing country data.
DOI: 10.6084/m9.figshare.24500974.v1
title: Test Data Dummy JSON

description: This JSON represents a dummy dataset to test the functionality of trusted repository search capabilities and of research data governance practices. The associated dummy dissertation is entitled <i>Data Science Dummy Dissertation. </i>The dummy file is a 1KB JSON containing country data.
DOI: 10.6084/m9.figshare.24502714
title: The genome of Helicoverpa armigera in Xinjiang and South China

description: The genome of Helicoverpa armigera in Xinjiang and South China
DOI: 10.6084/m9.figshare.24502714.v1
title: The genome of Helicoverpa armigera in Xinjiang and South China

description: The genome of Helicoverpa armigera in Xinjiang and South China
DOI: 10.48668/jncj8p
title: Cantonese Customized Dialogue Dataset-KddRES

description: This is the first Cantonese knowledge-driven Dialogue Dataset for REStaurant (KddRES) in Hong Kong, which grounds the information in multi-turn conversations to one specific restaurant. It contains 0.8k conversations which derive from 10 restaurants with various styles in different regions. In addition to that, we designed fine-grained slots and intents to better capture semantic information.
DOI: 10.48668/jncj8p/enoml4
title: README.md

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/xdmgka
title: result.png

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/xn295e
title: secondary_slot.png

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/ney9nz
title: statistic.png

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/bzepxf
title: test.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/wlnscg
title: train.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/jdyudi
title: val.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/br8hpo
title: test-1.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/dcklx2
title: train-1.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/0kivfy
title: val-1.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/3gc9ja
title: database.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/tyllbh
title: test.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/y2nbgr
title: train.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/knzynb
title: val.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/pigv3t
title: train-1.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/w951d8
title: test-1.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/bo4gkp
title: val-1.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/yqaxwr
title: database.json

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.
DOI: 10.48668/jncj8p/i5wdgh
title: LICENSE

description: Uploaded with GitHub Action from davidhocuhk/Cantonese-Customized-Dialogue-Dataset-KddRES.