cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10017584
title: PL09 - Single family house - Zielonka (Poland)

description: Data files for building: PL09 - Single family house - Zielonka (Poland)
Languages: Polish, English
These files are part of the public benchmark repository created as a part of the crossCert EU project. 
This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.
The files are organised in the following folders  (note that not all files are always provided):

Main data  and Results, with:

Neutral data inventory.
Neutral results report.
Original EPC certificate.
Energy Consumption Data, with:

Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.
Drawings

Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.
Other Data

Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.
Dynamic Model

Data to run a dynamic model of the building, if available.
The files have been redacted to exclude confidential information.
DOI: 10.5281/zenodo.10017585
title: PL09 - Single family house - Zielonka (Poland)

description: Data files for building: PL09 - Single family house - Zielonka (Poland)
Languages: Polish, English
These files are part of the public benchmark repository created as a part of the crossCert EU project. 
This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.
The files are organised in the following folders  (note that not all files are always provided):

Main data  and Results, with:

Neutral data inventory.
Neutral results report.
Original EPC certificate.
Energy Consumption Data, with:

Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.
Drawings

Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.
Other Data

Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.
Dynamic Model

Data to run a dynamic model of the building, if available.
The files have been redacted to exclude confidential information.
DOI: 10.5281/zenodo.10017605
title: PL11 - Single family house - Czerniewice (Poland)

description: Data files for building: PL11 - Single family house - Czerniewice (Poland)
Languages: Polish, English
These files are part of the public benchmark repository created as a part of the crossCert EU project. 
This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.
The files are organised in the following folders  (note that not all files are always provided):

Main data  and Results, with:

Neutral data inventory.
Neutral results report.
Original EPC certificate.
Energy Consumption Data, with:

Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.
Drawings

Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.
Other Data

Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.
Dynamic Model

Data to run a dynamic model of the building, if available.
The files have been redacted to exclude confidential information.
DOI: 10.5281/zenodo.10017606
title: PL11 - Single family house - Czerniewice (Poland)

description: Data files for building: PL11 - Single family house - Czerniewice (Poland)
Languages: Polish, English
These files are part of the public benchmark repository created as a part of the crossCert EU project. 
This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.
The files are organised in the following folders  (note that not all files are always provided):

Main data  and Results, with:

Neutral data inventory.
Neutral results report.
Original EPC certificate.
Energy Consumption Data, with:

Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.
Drawings

Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.
Other Data

Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.
Dynamic Model

Data to run a dynamic model of the building, if available.
The files have been redacted to exclude confidential information.
DOI: 10.5281/zenodo.8396947
title: Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity

description: Here we provide neural networks weights for the best models in our article "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity", ICCV 2023. Each model has the naming convention "dataset"-"modeltype".pth Note that the weights for OCHuman, are also called COCO-* as one only trains on COCO. So OCHuman-X = COCO-X The code to load and use the models is available at: https://github.com/amathislab/BUCTD We also share the predictions from various bottom-up models to reproduce the training (as zip files). See our repository for more details. Link to the article: https://openaccess.thecvf.com/content/ICCV2023/papers/Zhou_Rethinking_Pose_Estimation_in_Crowds_Overcoming_the_Detection_Information_Bottleneck_ICCV_2023_paper.pdf
DOI: 10.5281/zenodo.10039883
title: Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity

description: #############
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity, ICCV 2023
#############
 
Authors: Zhou, Mu and Stoffl, Lucas and Mathis, Mackenzie Weygandt and Mathis, Alexander
Affiliation: EPFL
Date: October, 2023
 
Here we provide neural networks weights for the best models in our article "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity", ICCV 2023. Each model has the naming convention "dataset"-"modeltype".pth
These pth files can be loaded with PyTorch. The code to load and use the models is available at The code to load and use the models is available at: https://github.com/amathislab/BUCTD
Note: The weights for OCHuman, are called COCO-* as one only trains on COCO. So OCHuman-X := COCO-X
We also share the predictions from various bottom-up models to reproduce the training stored in *.json format (compressed as zip files). See our repository for more details.
 
Link to the ICCV article: 
https://openaccess.thecvf.com/content/ICCV2023/papers/Zhou_Rethinking_Pose_Estimation_in_Crowds_Overcoming_the_Detection_Information_Bottleneck_ICCV_2023_paper.pdf
 
The weights and predictions are released with Creative Commons Attribution 4.0 license. The code is released under the Apache 2.0 license, see https://github.com/amathislab/BUCTD 
If you find our weights, code or ideas useful, please cite:
 
@InProceedings{Zhou_2023_ICCV,
   author    = {Zhou, Mu and Stoffl, Lucas and Mathis, Mackenzie Weygandt and Mathis, Alexander},
   title     = {Rethinking Pose Estimation in Crowds: Overcoming the Detection Information Bottleneck and Ambiguity},
   booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
   month     = {October},
   year      = {2023},
   pages     = {14689-14699}
}
DOI: 10.5281/zenodo.8394791
title: Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity

description: #############
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity, ICCV 2023
#############
 
Authors: Zhou, Mu and Stoffl, Lucas and Mathis, Mackenzie Weygandt and Mathis, Alexander
Affiliation: EPFL
Date: October, 2023
 
Here we provide neural networks weights for the best models in our article "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity", ICCV 2023. Each model has the naming convention "dataset"-"modeltype".pth
These pth files can be loaded with PyTorch. The code to load and use the models is available at The code to load and use the models is available at: https://github.com/amathislab/BUCTD
Note: The weights for OCHuman, are called COCO-* as one only trains on COCO. So OCHuman-X := COCO-X
We also share the predictions from various bottom-up models to reproduce the training stored in *.json format (compressed as zip files). See our repository for more details.
 
Link to the ICCV article: 
https://openaccess.thecvf.com/content/ICCV2023/papers/Zhou_Rethinking_Pose_Estimation_in_Crowds_Overcoming_the_Detection_Information_Bottleneck_ICCV_2023_paper.pdf
 
The weights and predictions are released with Creative Commons Attribution 4.0 license. The code is released under the Apache 2.0 license, see https://github.com/amathislab/BUCTD 
If you find our weights, code or ideas useful, please cite:
 
@InProceedings{Zhou_2023_ICCV,
   author    = {Zhou, Mu and Stoffl, Lucas and Mathis, Mackenzie Weygandt and Mathis, Alexander},
   title     = {Rethinking Pose Estimation in Crowds: Overcoming the Detection Information Bottleneck and Ambiguity},
   booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
   month     = {October},
   year      = {2023},
   pages     = {14689-14699}
}
DOI: 10.5281/zenodo.8394792
title: Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity

description: Here we provide neural networks weights for the best models in our article "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity", ICCV 2023. Each model has the naming convention "dataset"-"modeltype".pth The code to load and use the models is available at: https://github.com/amathislab/BUCTD Link to the article: https://openaccess.thecvf.com/content/ICCV2023/papers/Zhou_Rethinking_Pose_Estimation_in_Crowds_Overcoming_the_Detection_Information_Bottleneck_ICCV_2023_paper.pdf We also provide
DOI: 10.5281/zenodo.8394871
title: Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity

description: Here we provide neural networks weights for the best models in our article "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity", ICCV 2023. Each model has the naming convention "dataset"-"modeltype".pth The code to load and use the models is available at: https://github.com/amathislab/BUCTD We also share the predictions from various bottom-up models to reproduce the training (as zip files). See our repository for more details. Link to the article: https://openaccess.thecvf.com/content/ICCV2023/papers/Zhou_Rethinking_Pose_Estimation_in_Crowds_Overcoming_the_Detection_Information_Bottleneck_ICCV_2023_paper.pdf We also provide
DOI: 10.5281/zenodo.10017615
title: PL12 - Educational - Warszawa (Poland)

description: Data files for building: PL12 - Educational - Warszawa (Poland)
Languages: Polish, English
These files are part of the public benchmark repository created as a part of the crossCert EU project. 
This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.
The files are organised in the following folders  (note that not all files are always provided):

Main data  and Results, with:

Neutral data inventory.
Neutral results report.
Original EPC certificate.
Energy Consumption Data, with:

Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.
Drawings

Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.
Other Data

Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.
Dynamic Model

Data to run a dynamic model of the building, if available.
The files have been redacted to exclude confidential information.
DOI: 10.5281/zenodo.10017614
title: PL12 - Educational - Warszawa (Poland)

description: Data files for building: PL12 - Educational - Warszawa (Poland)
Languages: Polish, English
These files are part of the public benchmark repository created as a part of the crossCert EU project. 
This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.
The files are organised in the following folders  (note that not all files are always provided):

Main data  and Results, with:

Neutral data inventory.
Neutral results report.
Original EPC certificate.
Energy Consumption Data, with:

Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.
Drawings

Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.
Other Data

Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.
Dynamic Model

Data to run a dynamic model of the building, if available.
The files have been redacted to exclude confidential information.
DOI: 10.5281/zenodo.10017634
title: PL13 – Multi-apartment building - Warszawa (Poland)

description: Data files for building: PL13 – Multi-apartment building - Warszawa (Poland)
Languages: Polish, English
These files are part of the public benchmark repository created as a part of the crossCert EU project. 
This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.
The files are organised in the following folders  (note that not all files are always provided):

Main data  and Results, with:

Neutral data inventory.
Neutral results report.
Original EPC certificate.
Energy Consumption Data, with:

Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.
Drawings

Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.
Other Data

Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.
Dynamic Model

Data to run a dynamic model of the building, if available.
The files have been redacted to exclude confidential information.
DOI: 10.5281/zenodo.10017649
title: PL15 - Single family house - Pilawa (Poland)

description: Data files for building: PL15 - Single family house - Pilawa (Poland)
Languages: Polish, English
These files are part of the public benchmark repository created as a part of the crossCert EU project. 
This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.
The files are organised in the following folders  (note that not all files are always provided):

Main data  and Results, with:

Neutral data inventory.
Neutral results report.
Original EPC certificate.
Energy Consumption Data, with:

Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.
Drawings

Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.
Other Data

Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.
Dynamic Model

Data to run a dynamic model of the building, if available.
The files have been redacted to exclude confidential information.
DOI: 10.5281/zenodo.10017633
title: PL13 – Multi-apartment building - Warszawa (Poland)

description: Data files for building: PL13 – Multi-apartment building - Warszawa (Poland)
Languages: Polish, English
These files are part of the public benchmark repository created as a part of the crossCert EU project. 
This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.
The files are organised in the following folders  (note that not all files are always provided):

Main data  and Results, with:

Neutral data inventory.
Neutral results report.
Original EPC certificate.
Energy Consumption Data, with:

Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.
Drawings

Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.
Other Data

Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.
Dynamic Model

Data to run a dynamic model of the building, if available.
The files have been redacted to exclude confidential information.
DOI: 10.5281/zenodo.10017648
title: PL15 - Single family house - Pilawa (Poland)

description: Data files for building: PL15 - Single family house - Pilawa (Poland)
Languages: Polish, English
These files are part of the public benchmark repository created as a part of the crossCert EU project. 
This repository contains curated building data, certificate results and, where available, measured performance results. The repository is publicly available so that it can be used as a testbench for new Energy Performance Certificate (EPC) procedures.
The files are organised in the following folders  (note that not all files are always provided):

Main data  and Results, with:

Neutral data inventory.
Neutral results report.
Original EPC certificate.
Energy Consumption Data, with:

Files, where available, with energy consumption data for the building, which can be used for validation of models and EPC results.
Drawings

Building drawings which can be used as an aid for generating the EPC, or for creating dynamic energy consumption  models.
Other Data

Any other data that can be useful for the purposes of creating or validating an EPC or an energy consumption dynamic model for the building.
Dynamic Model

Data to run a dynamic model of the building, if available.
The files have been redacted to exclude confidential information.
DOI: 10.6084/m9.figshare.24433768
title: Supplementary Material for: The applicability of scoring calyculin A-induced premature chromosome condensation (PCC) objects for dose assessment including for radiotherapy patients

description: As an extension to a previous study, a linear calibration curve covering doses from 0 to 10 Gy was constructed and evaluated in the present study using calyculin A-induced premature chromosome condensation (PCC) by scoring excess PCC objects. The main aim of this study was to assess the applicability of this PCC assay for doses below 2 Gy that are critical for triage categorisation. Two separate blind tests involving a total of 6 doses were carried out. 4 out of 6 dose estimates were within the 95% confidence limits (95%CL) with the other 2 just outside. In addition, blood samples from five cancer patients undergoing external beam radiotherapy (RT) were also analysed and the results showed whole-body dose estimates statistically comparable to the dicentric chromosome assay (DCA) results. This is the first time that calyculin A-induced PCC was used to analyse clinical samples by scoring excess objects. Although dose estimates for the pre-RT patient samples were found to be significantly higher than the mean value for the healthy donors and were also significantly higher than those obtained using DCA, all these pre-treatment patients fell into the same category as those who may have received a low dose (&lt; 1 Gy) and do not require immediate medical care during emergency triage. Additionally, for radiological accidents with unknown exposure scenario, PCC objects and rings can be scored in parallel for the assessment of both low and high dose exposures. In conclusion, scoring excess objects using calyculin A-induced PCC is confirmed to be another potential biodosimetry tool in radiological emergency particularly in mass casualty scenarios even though the data need to be interpreted with caution when cancer patients are among the casualties.
DOI: 10.6084/m9.figshare.24433768.v1
title: Supplementary Material for: The applicability of scoring calyculin A-induced premature chromosome condensation (PCC) objects for dose assessment including for radiotherapy patients

description: As an extension to a previous study, a linear calibration curve covering doses from 0 to 10 Gy was constructed and evaluated in the present study using calyculin A-induced premature chromosome condensation (PCC) by scoring excess PCC objects. The main aim of this study was to assess the applicability of this PCC assay for doses below 2 Gy that are critical for triage categorisation. Two separate blind tests involving a total of 6 doses were carried out. 4 out of 6 dose estimates were within the 95% confidence limits (95%CL) with the other 2 just outside. In addition, blood samples from five cancer patients undergoing external beam radiotherapy (RT) were also analysed and the results showed whole-body dose estimates statistically comparable to the dicentric chromosome assay (DCA) results. This is the first time that calyculin A-induced PCC was used to analyse clinical samples by scoring excess objects. Although dose estimates for the pre-RT patient samples were found to be significantly higher than the mean value for the healthy donors and were also significantly higher than those obtained using DCA, all these pre-treatment patients fell into the same category as those who may have received a low dose (&lt; 1 Gy) and do not require immediate medical care during emergency triage. Additionally, for radiological accidents with unknown exposure scenario, PCC objects and rings can be scored in parallel for the assessment of both low and high dose exposures. In conclusion, scoring excess objects using calyculin A-induced PCC is confirmed to be another potential biodosimetry tool in radiological emergency particularly in mass casualty scenarios even though the data need to be interpreted with caution when cancer patients are among the casualties.
DOI: 10.5281/zenodo.8435787
title: Dataset accompanying the publication: Reservoir mud releasing may suboptimize fluvial sand supply to coastal sediment budget: Modeling the impact of Shihmen Reservoir case on Tamsui River estuary

description: Delft3D model input and output files for scenario simulations (Scenario 1, Scenario 2, and Scenario 3)