cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23800401.v1
title: <b>Code and Data to produced SDM [</b><b>Matters Arising</b><b>]</b>

description: <b>Code and Data to produced SDM.</b><b>Title: </b><b>Misconception of model transferability precludes estimates of seagrass community reorganization in a changing climate</b><b>Matters Arising from: Daru & Rock Nature Plants https://doi.org/10.1038/s41477-023-01445-6 (2023)</b>
DOI: 10.17632/twgctdsk23.3
title: Data of the industrial waste compositions in the Western Kazakhstan and raw data IR-spectroscopic, X-ray analysis of the samples construction materials

description: The use of industrial wastes of different chemical composition is possible in the production of building materials. It was found that the reaction of the interaction of petroleum sulfur with chromate sludge in the production of polymer concrete significantly reduces their toxicity, due to the transition of Cr (VI) to the less toxic form of Cr (III), which the data of the IR spectroscopic data of the structure of mastic S-sludge. Sulphur under the experimental conditions had a coarse-crystalline structure characteristic of rhombic modification. Introduction of various components (fillers) significantly changes the structure of sulphur, leads to obtaining mastic with a fine-crystalline structure. The presented data shows the chemical composition of wastes from industrial enterprises located in Western Kazakhstan, the raw data of physico-chemical analysis of obtained experimental samples are given. The tables 1-4 provide information on the chemical composition of waste, data in the tables 5-6 are raw data of IR spectroscopic and X-ray spectral analyses samples of the construction materials. These data can be compared with other similar data, the proposed methods can be used in those industrial regions with relatively similar productions and waste.
DOI: 10.5281/zenodo.8192972
title: loxia_pytyopsittacus_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.8192971
title: loxia_pytyopsittacus_decontaminated_gx.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/6210948
title: Mahanagar Yatayat Transport Dataset
DOI: 10.3886/e193007
title: Quantifying Racial Discrimination in the 1944 G.I. Bill: Replication code

description: Did the G.I. bill discriminate against Black World War II veterans? Using a variety of historical sources, I estimate the average amounts of G.I. benefits received by Black and white World War II veterans, as well as their cash-equivalents. These estimates suggest that Black veterans received more in benefits than white veterans, but that their cash-equivalents were lower. However, these estimates are associated with significant uncertainty.
DOI: 10.3886/e193007v1
title: Quantifying Racial Discrimination in the 1944 G.I. Bill

description: Did the G.I. bill discriminate against Black World War II veterans? Using a variety of historical sources, I estimate the average amounts of G.I. benefits received by Black and white World War II veterans, as well as their cash-equivalents. These estimates suggest that Black veterans received more in benefits than white veterans, but that their cash-equivalents were lower. However, these estimates are associated with significant uncertainty.
DOI: 10.3886/e193007v2
title: Quantifying Racial Discrimination in the 1944 G.I. Bill: Replication code

description: Did the G.I. bill discriminate against Black World War II veterans? Using a variety of historical sources, I estimate the average amounts of G.I. benefits received by Black and white World War II veterans, as well as their cash-equivalents. These estimates suggest that Black veterans received more in benefits than white veterans, but that their cash-equivalents were lower. However, these estimates are associated with significant uncertainty.
DOI: 10.5281/zenodo.8193005
title: panulirus_cygnus_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.8193004
title: panulirus_cygnus_decontaminated_gx.fasta.gz

description: .
DOI: 10.17632/scpvm2nbkm.1
title: KU-BdSL: Khulna University Bengali Sign Language dataset

description: The KU-BdSL refers to a Bengali sign language dataset, which includes three variants of the data. The variants are - (i) Uni-scale Sign Language Dataset (USLD), (ii) Multi-scale Sign Language Dataset (MSLD), and (iii) Annotated Multi-scale Sign Language Dataset (AMSLD). The dataset consists of images representing single-hand gestures for BdSL alphabets. Several smartphones are taken into account to capture images from 33 participants (25 males and 8 females). Each version includes 30 classes that resemble the 39 consonants ('shoroborno') of Bengali alphabets. There is a total of 1,500 images in jpg format in each variant. The images are captured on flat surfaces at different times of the day to vary the brightness and contrast. Class names are Unicode values corresponding to the Bengali alphabets for USLD and MSLD.

Folder Names:
2433 -> ‘Chandra Bindu’
2434 -> ‘Anusshar’
2435 -> ‘Bisharga’
2453 -> ‘Ka’
2454 -> ‘Kha’
2455 -> ‘Ga’
2456 -> ‘Gha’
2457 -> ‘Uo’
2458 -> ‘Ca’
2459 -> ‘Cha’
2460-2479 -> ‘Borgio Ja/Anta Ja’
2461 -> ‘Jha’
2462 -> ‘Yo’
2463 -> ‘Ta’
2464 -> ‘Tha’
2465 -> ‘Da’
2466 -> ‘Dha’
2467-2472 -> ‘Murdha Na/Donto Na’
2468-2510 -> ‘ta/Khanda ta’
2469 -> ‘tha’
2470 -> ‘da’
2471 -> ‘dha’
2474 -> ‘pa’
2475 -> ‘fa’
2476-2477 -> ‘Ba/Bha’
2478 -> ‘Ma’
2480-2524-2525 -> ‘Ba-y Ra/Da-y Ra/Dha-y Ra’
2482 -> ‘La’
2486-2488-2487 -> ‘Talobbo sha/Danta sa/Murdha Sha’
2489 -> ‘Ha’

USLD:
USLD has a unique size for all the images that is 512*512 pixels. The intended hand position is placed in the middle of the majority of cases in this dataset. 
MSLD:
The raw images are stored in MSLD so that researchers can make changes to the dataset. The use of various smartphones yields us a wide variety of image sizes.
AMSLD:
AMSLD has multi-scale annotated data, which is suitable for tasks like localization and classification. From many annotation formats, the YOLO DarkNet annotation has been selected. Each image has an annotation text file containing five numbers separated by white space. The initial number is an integer, and the rest are floating numbers. The first number of the file indicates the class ID corresponding to the label of that image. Class IDs are mapped in a separate text file named 'obj.names'. The second and third values are the beginning normalized coordinates, while the fourth and fifth define the bounding box's normalized width and height.

All the data from this dataset is free to download, modify, and use.
DOI: 10.17632/scpvm2nbkm.2
title: KU-BdSL: Khulna University Bengali Sign Language dataset

description: The KU-BdSL refers to a Bengali sign language dataset, which includes three variants of the data. The variants are - (i) Uni-scale Sign Language Dataset (USLD), (ii) Multi-scale Sign Language Dataset (MSLD), and (iii) Annotated Multi-scale Sign Language Dataset (AMSLD). The dataset consists of images representing single-hand gestures for BdSL alphabets. Several smartphones are taken into account to capture images from 34 participants (26 males and 8 females). These 34 volunteers associated with the dataset creation have not offered any financial benefit. Each version includes 30 classes that resemble the 38 consonants ('shoroborno') of Bengali alphabets. There is a total of 1,500 images in jpg format in each variant. The images are captured on flat surfaces at different times of the day to vary the brightness and contrast. Class names are Unicode values corresponding to the Bengali alphabets for USLD and MSLD.

Folder Names:
2433 -> ‘Chandra Bindu’
2434 -> ‘Anusshar’
2435 -> ‘Bisharga’
2453 -> ‘Ka’
2454 -> ‘Kha’
2455 -> ‘Ga’
2456 -> ‘Gha’
2457 -> ‘Uo’
2458 -> ‘Ca’
2459 -> ‘Cha’
2460-2479 -> ‘Borgio Ja/Anta Ja’
2461 -> ‘Jha’
2462 -> ‘Yo’
2463 -> ‘Ta’
2464 -> ‘Tha’
2465 -> ‘Da’
2466 -> ‘Dha’
2467-2472 -> ‘Murdha Na/Donto Na’
2468-2510 -> ‘ta/Khanda ta’
2469 -> ‘tha’
2470 -> ‘da’
2471 -> ‘dha’
2474 -> ‘pa’
2475 -> ‘fa’
2476-2477 -> ‘Ba/Bha’
2478 -> ‘Ma’
2480-2524-2525 -> ‘Ba-y Ra/Da-y Ra/Dha-y Ra’
2482 -> ‘La’
2486-2488-2487 -> ‘Talobbo sha/Danta sa/Murdha Sha’
2489 -> ‘Ha’

USLD:
USLD has a unique size for all the images that is 512*512 pixels. The intended hand position is placed in the middle of the majority of cases in this dataset. 
MSLD:
The raw images are stored in MSLD so that researchers can make changes to the dataset. The use of various smartphones yields us a wide variety of image sizes.
AMSLD:
AMSLD has multi-scale annotated data, which is suitable for tasks like localization and classification. From many annotation formats, the YOLO DarkNet annotation has been selected. Each image has an annotation text file containing five numbers separated by white space. The initial number is an integer, and the rest are floating numbers. The first number of the file indicates the class ID corresponding to the label of that image. Class IDs are mapped in a separate text file named 'obj.names'. The second and third values are the beginning normalized coordinates, while the fourth and fifth define the bounding box's normalized width and height.

This dataset is supported by Research and Innovation Center, Khulna University, Khulna-9208, Bangladesh and all the data from this dataset is free to download, modify, and use. The previous version (Version 1) of this dataset contains the oral permission of the volunteers, and this one has written consent of the participants. Therefore, we encourage researchers to use this version (Version 2) for research objective.
DOI: 10.17632/scpvm2nbkm.3
title: KU-BdSL: Khulna University Bengali Sign Language dataset

description: The KU-BdSL refers to a Bengali sign language dataset, which includes three variants of the data. The variants are - (i) Uni-scale Sign Language Dataset (USLD), (ii) Multi-scale Sign Language Dataset (MSLD), and (iii) Annotated Multi-scale Sign Language Dataset (AMSLD). The dataset consists of images representing single-hand gestures for BdSL alphabets. Several smartphones are taken into account to capture images from 34 participants (26 males and 8 females). These 34 volunteers associated with the dataset creation have not offered any financial benefit. Each version includes 30 classes that resemble the 38 consonants ('shoroborno') of Bengali alphabets. There is a total of 1,500 images in jpg format in each variant. The images are captured on flat surfaces at different times of the day to vary the brightness and contrast. Class names are Unicode values corresponding to the Bengali alphabets for USLD and MSLD.

Folder Names:
2433 -> ‘Chandra Bindu’
2434 -> ‘Anusshar’
2435 -> ‘Bisharga’
2453 -> ‘Ka’
2454 -> ‘Kha’
2455 -> ‘Ga’
2456 -> ‘Gha’
2457 -> ‘Uo’
2458 -> ‘Ca’
2459 -> ‘Cha’
2460-2479 -> ‘Borgio Ja/Anta Ja’
2461 -> ‘Jha’
2462 -> ‘Yo’
2463 -> ‘Ta’
2464 -> ‘Tha’
2465 -> ‘Da’
2466 -> ‘Dha’
2467-2472 -> ‘Murdha Na/Donto Na’
2468-2510 -> ‘ta/Khanda ta’
2469 -> ‘tha’
2470 -> ‘da’
2471 -> ‘dha’
2474 -> ‘pa’
2475 -> ‘fa’
2476-2477 -> ‘Ba/Bha’
2478 -> ‘Ma’
2480-2524-2525 -> ‘Ba-y Ra/Da-y Ra/Dha-y Ra’
2482 -> ‘La’
2486-2488-2487 -> ‘Talobbo sha/Danta sa/Murdha Sha’
2489 -> ‘Ha’

USLD:
USLD has a unique size for all the images that is 512*512 pixels. The intended hand position is placed in the middle of the majority of cases in this dataset. 
MSLD:
The raw images are stored in MSLD so that researchers can make changes to the dataset. The use of various smartphones yields us a wide variety of image sizes.
AMSLD:
AMSLD has multi-scale annotated data, which is suitable for tasks like localization and classification. From many annotation formats, the YOLO DarkNet annotation has been selected. Each image has an annotation text file containing five numbers separated by white space. The initial number is an integer, and the rest are floating numbers. The first number of the file indicates the class ID corresponding to the label of that image. Class IDs are mapped in a separate text file named 'obj.names'. The second and third values are the beginning normalized coordinates, while the fourth and fifth define the bounding box's normalized width and height.

This dataset is supported by Research and Innovation Center, Khulna University, Khulna-9208, Bangladesh and all the data from this dataset is free to download, modify, and use. The previous version (Version 1) of this dataset contains the oral permission of the volunteers, and this one has written consent of the participants. Therefore, we encourage researchers to use this version (Version 2) for research objective.
DOI: 10.5281/zenodo.7775365
title: Dataset: Automated quantification of stromal tumour infiltrating lymphocytes is associated with prognosis in breast cancer.

description: Daraset of breast nulcei segmentation associated to the article "Gonzàlez-Farré, M., Gibert, J., Santiago-Díaz, P. <em>et al.</em> Automated quantification of stromal tumour infiltrating lymphocytes is associated with prognosis in breast cancer. <em>Virchows Arch</em> (2023). https://doi.org/10.1007/s00428-023-03608-4"
DOI: 10.5281/zenodo.7775364
title: Dataset: Automated quantification of stromal tumour infiltrating lymphocytes is associated with prognosis in breast cancer.

description: Daraset of breast nulcei segmentation associated to the article "Gonzàlez-Farré, M., Gibert, J., Santiago-Díaz, P. <em>et al.</em> Automated quantification of stromal tumour infiltrating lymphocytes is associated with prognosis in breast cancer. <em>Virchows Arch</em> (2023). https://doi.org/10.1007/s00428-023-03608-4"
DOI: 10.25345/c5hh6cg89
title: MassIVE MSV000092550 - Reanalysis of PXD034087 Experimental strategies to improve drug-target identification in mass spectrometry-based thermal stability assays
title: A reanalysis of one experimental strategy was performed for benchmarking using NPARC, TPP, SCAM and MSstatsTMT statistical models.
DOI: 10.21227/kn78-jf53
title: Cases of Pesticide Exposure

description: Set of samples resulting from an evaluative, population-based cross-sectional study, approved by the Research Ethics Committee of Federal University of Alfenas, protocol: 415856. These samples pertain to 1,027 rural workers from the southern region of Minas Gerais, Brazil, where comprehensive data on socioeconomic factors, history of pesticide intoxication and hospitalization, and usage of personal protective equipment were collected. Blood samples were obtained to measure biomarkers of pesticide exposure as well as indicators of renal and hepatic sequelae. Each sample encompasses 79 condition attributes and 1 decision attribute pertaining to the Diagnosis. All volunteers provided their informed consent by signing the Free and Informed Consent Form after receiving the necessary information.
DOI: 10.5281/zenodo.6541687
title: McMule dataset

description: McMule is a generic framework for higher-order QED calculations of scattering and decay processes involving leptons. In this dataset we include all data used in McMule publications as well as the analysis code used. An up-to-date version can be found here.
DOI: 10.5281/zenodo.7427563
title: McMule dataset

description: McMule is a generic framework for higher-order QED calculations of scattering and decay processes involving leptons. In this dataset we include all data used in McMule publications as well as the analysis code used. An up-to-date version can be found here.
DOI: 10.5281/zenodo.6541686
title: McMule dataset

description: McMule is a generic framework for higher-order QED calculations of scattering and decay processes involving leptons. In this dataset we include all data used in McMule publications as well as the analysis code used. An up-to-date version can be found here.
DOI: 10.5281/zenodo.7428678
title: McMule dataset

description: McMule is a generic framework for higher-order QED calculations of scattering and decay processes involving leptons. In this dataset we include all data used in McMule publications as well as the analysis code used. An up-to-date version can be found here. Sorry for the two version, misunderstood the interface.
DOI: 10.5281/zenodo.7428689
title: McMule dataset

description: McMule is a generic framework for higher-order QED calculations of scattering and decay processes involving leptons. In this dataset we include all data used in McMule publications as well as the analysis code used. An up-to-date version can be found here.
DOI: 10.5281/zenodo.7428701
title: McMule dataset

description: McMule is a generic framework for higher-order QED calculations of scattering and decay processes involving leptons. In this dataset we include all data used in McMule publications as well as the analysis code used. An up-to-date version can be found here.
DOI: 10.5281/zenodo.7436748
title: McMule dataset

description: McMule is a generic framework for higher-order QED calculations of scattering and decay processes involving leptons. In this dataset we include all data used in McMule publications as well as the analysis code used. An up-to-date version can be found here.
DOI: 10.5281/zenodo.8188752
title: McMule dataset

description: McMule is a generic framework for higher-order QED calculations of scattering and decay processes involving leptons. In this dataset we include all data used in McMule publications as well as the analysis code used. An up-to-date version can be found here.
DOI: 10.25417/uic.23721780
title: Dataset for "Optimal Enhanced Sampling of Protein Conformational Changes by Extract Reaction Coordinates from Energy Relaxation"

description: This set of files contain the data generated in the paper titled: Optimal Enhanced Sampling of Protein Conformational Changes by Extract Reaction Coordinates from Energy Relaxation. The RC-uncovered trajectories along the leading SCs of HIV protease and PDZ2 domain are available here. Also listed are the natural trajectories for ligand dissociation in HIV protease and PDZ2 domain that correspond to supplementary videos S3, S4 and S5. In each case, .xtc files are trajectory files in GROMACS format, the .py file is the corresponding UCSF Chimera file and the .cxs file is the corresponding ChimeraX file. ChimeraX is the latest upgrade of Chimera. In each Chimera or ChimeraX file, the structure in white color is a equilibrated structure from MD simulation, which is used as reference for comparison.
DOI: 10.25417/uic.23721780.v1
title: Dataset for "Optimal Enhanced Sampling of Protein Conformational Changes by Extract Reaction Coordinates from Energy Relaxation"

description: This set of files contain the data generated in the paper titled: Optimal Enhanced Sampling of Protein Conformational Changes by Extract Reaction Coordinates from Energy Relaxation. The RC-uncovered trajectories along the leading SCs of HIV protease and PDZ2 domain are available here. Also listed are the natural trajectories for ligand dissociation in HIV protease and PDZ2 domain that correspond to supplementary videos S3, S4 and S5. In each case, .xtc files are trajectory files in GROMACS format, the .py file is the corresponding UCSF Chimera file and the .cxs file is the corresponding ChimeraX file. ChimeraX is the latest upgrade of Chimera. In each Chimera or ChimeraX file, the structure in white color is a equilibrated structure from MD simulation, which is used as reference for comparison.
DOI: 10.5281/zenodo.7806689
title: Sand Dunes Earthquake Locations - hypoDD using Rio Grande Rift velocity model is preferred

description: From the publication "Earthquake swarm near Great Sand Dunes, Colorado, investigated with temporary seismic network and machine learning seismic phase analysis." in the Mountain Geologist. Three catalogs were produced using different location algorithms. The catalog titled hypoDD_RGR is the preferred catalog. There were 717 events located by glass3 and SEISAN. 700 of those events were located by hypoDD. Column hypoDD_ID reconciles the events in all three catalogs.
DOI: 10.5281/zenodo.7806688
title: Sand Dunes Earthquake Locations - hypoDD using Rio Grande Rift velocity model is preferred

description: From the publication "Earthquake swarm near Great Sand Dunes, Colorado, investigated with temporary seismic network and machine learning seismic phase analysis." in the Mountain Geologist. Three catalogs were produced using different location algorithms. The catalog titled hypoDD_RGR is the preferred catalog. There were 717 events located by glass3 and SEISAN. 700 of those events were located by hypoDD. Column hypoDD_ID reconciles the events in all three catalogs.
DOI: 10.5281/zenodo.8128055
title: Supporting data for ''Nonlinearity of the cloud response postpones climate penalty of mitigating air pollution in polluted regions"

description: Supporting data for our work on Nature Climate Change. You will find: - python codes for generating the plots in the manuscript.
DOI: 10.5519/qd.n3ke6k54
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17632/pwm6cg2shj.1
title: In situ real-time dataset as compared to the predicted thermal wheel performance of an energy recovery system

description: The experimental dataset of a rotary desiccant wheel system in a Taoyuan hotel contains the ambient conditions and dehumidified process air outputs, as well as comparisons of experimental and numerical outputs under various operating conditions. Physical implementation of the experiments for numerical validation of transient responses included step changes to the regeneration air temperature, wheel speed, and airflow rate (i.e. fan speed). The related data article provides insights to optimal performance of thermal wheel operation for HVAC practitioners and academic researchers.


Supplementing to this data article are eight dataset files pertaining to ambient conditions and dehumidified process air outputs, as well as comparisons of experimental and numerical outputs under various operating conditions. Physical implementation of the experiments for numerical validation of transient responses included step changes to the regeneration air temperature, wheel speed, and airflow rate (i.e. fan speed). Finally, the data article provides insights to optimal performance of thermal wheel operation for HVAC practitioners and academic researchers.
DOI: 10.17632/pwm6cg2shj.2
title: In situ real-time dataset as compared to the predicted thermal wheel performance of an energy recovery system

description: The experimental dataset of a rotary desiccant wheel system in a Taoyuan hotel contains the ambient conditions and dehumidified process air outputs, as well as comparisons of experimental and numerical outputs under various operating conditions. Physical implementation of the experiments for numerical validation of transient responses included step changes to the regeneration air temperature, wheel speed, and airflow rate (i.e. fan speed). The related data article provides insights to optimal performance of thermal wheel operation for HVAC practitioners and academic researchers.


Supplementing to this data article are eight dataset files pertaining to ambient conditions and dehumidified process air outputs, as well as comparisons of experimental and numerical outputs under various operating conditions. Physical implementation of the experiments for numerical validation of transient responses included step changes to the regeneration air temperature, wheel speed, and airflow rate (i.e. fan speed). Finally, the data article provides insights to optimal performance of thermal wheel operation for HVAC practitioners and academic researchers.