cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/tkp9pdztn5
title: Data-driven simulator of multi-animal behavior with unknown dynamics via offline and online reinforcement learning

description: This dataset contains the original, unprocessed tracking outputs and accompanying metadata used in our iScience manuscript on AnimaRL, a data-driven simulator of multi-animal behavior. It includes time-stamped trajectories for four domains: synthetic pursuit agents (500 episodes; 10 Hz), flies (107 episodes; 10 Hz), Japanese fire-bellied newts (280 episodes; 10 Hz), and silkmoths (60 episodes; 2 Hz) with per-episode boundaries and experimental-condition labels where applicable (two-condition setups for agents and silkmoths). For each episode, the files provide the raw recorded variables (e.g., positions/velocities for agents and insects; and for silkmoths, body angle and sensory measurements such as odor/wind/vision alongside kinematics) . These raw files are intended to support transparent reuse and independent re-analysis; scripts for preprocessing, model training, and reproducing the analyses reported in the manuscript are available in the companion code repository (https://github.com/keisuke198619/animarl).
DOI: 10.17632/tkp9pdztn5.1
title: Data-driven simulator of multi-animal behavior with unknown dynamics via offline and online reinforcement learning

description: This dataset contains the original, unprocessed tracking outputs and accompanying metadata used in our iScience manuscript on AnimaRL, a data-driven simulator of multi-animal behavior. It includes time-stamped trajectories for four domains: synthetic pursuit agents (500 episodes; 10 Hz), flies (107 episodes; 10 Hz), Japanese fire-bellied newts (280 episodes; 10 Hz), and silkmoths (60 episodes; 2 Hz) with per-episode boundaries and experimental-condition labels where applicable (two-condition setups for agents and silkmoths). For each episode, the files provide the raw recorded variables (e.g., positions/velocities for agents and insects; and for silkmoths, body angle and sensory measurements such as odor/wind/vision alongside kinematics) . These raw files are intended to support transparent reuse and independent re-analysis; scripts for preprocessing, model training, and reproducing the analyses reported in the manuscript are available in the companion code repository (https://github.com/keisuke198619/animarl).
DOI: 10.25573/serc.31394871
title: Stock Enhancement: Strategic Approach for the Blue Swimmer Crab in Indonesia

description: This dataset contains the crab trap sampling data collected by the Smithsonian Environmental Research Center (SERC) as part of three hatchery crab mark-recapture experiments. The first two releases were conducted in the bay near Pare Pare, South Sulawesi. The second release was conducted near Situbondo, East Java. Traps were deployed overnight, ~24 hours each set.
DOI: 10.25573/serc.31394871.v1
title: Stock Enhancement: Strategic Approach for the Blue Swimmer Crab in Indonesia

description: This dataset contains the crab trap sampling data collected by the Smithsonian Environmental Research Center (SERC) as part of three hatchery crab mark-recapture experiments. The first two releases were conducted in the bay near Pare Pare, South Sulawesi. The second release was conducted near Situbondo, East Java. Traps were deployed overnight, ~24 hours each set.
DOI: 10.6084/m9.figshare.31395171
title: Demographic and clinical profiles of patients with primary and second primary cancers: identifying biomarkers of sensitivity to radiotherapy-induced cancer

description: Due to improved therapy, the life expectancy of cancer patients is increasing, and with this, the incidence of radiotherapy (RT)-induced second primary cancers (SPCs). We investigated whether genetic factors may contribute to SPC susceptibility. We collected peripheral blood samples from 232 patients treated by external beam RT for a first primary cancer (FPC) of breast, brain and the lymphatic tissue and from 96 unrelated patients who developed various SPC. Samples from patients with FPC were collected before start of RT and at one or two timepoints after the last RT fraction. Samples from patients with SPC were collected at admission to the hospital and, if the patient was treated by RT, once after the last fraction. Peripheral blood mononuclear cells (PBMCs) were isolated, cryopreserved and shipped to project partners. They were analyzed for RT-induced chromosomal aberrations, micronuclei (MN) and γH2AX foci. In addition, the response of PBMC to an in vitro dose was analyzed at the level of MN and γH2AX foci. Whole genomic DNA of samples collected at admission to the hospital was isolated and sequenced to identify possible single nucleotide polymorphisms that characterize patients with SPC. The logistics of blood collection, cryopreservation, sample shipments and the demographic and clinical data of the patients are provided. The breast FPC and SPC patients came from Ghent, Belgium and Kielce, Poland. Brain FPC patients came from Kielce and Hodgkin lymphoma FPC patients from Stockholm, Sweden. Differences were seen between patients that came from Ghent and Kielce regarding age at diagnosis, RT dose, chemotherapy treatment and time between FPC and SPC. These differences do not pose problems for reaching the aims of the study. The data presented here serve as the basis for interpreting the results of the experimental assays that are presented in separate papers.
DOI: 10.6084/m9.figshare.31395171.v1
title: Demographic and clinical profiles of patients with primary and second primary cancers: identifying biomarkers of sensitivity to radiotherapy-induced cancer

description: Due to improved therapy, the life expectancy of cancer patients is increasing, and with this, the incidence of radiotherapy (RT)-induced second primary cancers (SPCs). We investigated whether genetic factors may contribute to SPC susceptibility. We collected peripheral blood samples from 232 patients treated by external beam RT for a first primary cancer (FPC) of breast, brain and the lymphatic tissue and from 96 unrelated patients who developed various SPC. Samples from patients with FPC were collected before start of RT and at one or two timepoints after the last RT fraction. Samples from patients with SPC were collected at admission to the hospital and, if the patient was treated by RT, once after the last fraction. Peripheral blood mononuclear cells (PBMCs) were isolated, cryopreserved and shipped to project partners. They were analyzed for RT-induced chromosomal aberrations, micronuclei (MN) and γH2AX foci. In addition, the response of PBMC to an in vitro dose was analyzed at the level of MN and γH2AX foci. Whole genomic DNA of samples collected at admission to the hospital was isolated and sequenced to identify possible single nucleotide polymorphisms that characterize patients with SPC. The logistics of blood collection, cryopreservation, sample shipments and the demographic and clinical data of the patients are provided. The breast FPC and SPC patients came from Ghent, Belgium and Kielce, Poland. Brain FPC patients came from Kielce and Hodgkin lymphoma FPC patients from Stockholm, Sweden. Differences were seen between patients that came from Ghent and Kielce regarding age at diagnosis, RT dose, chemotherapy treatment and time between FPC and SPC. These differences do not pose problems for reaching the aims of the study. The data presented here serve as the basis for interpreting the results of the experimental assays that are presented in separate papers.
DOI: 10.17632/ybs2wfy3ck
title: Systematic Review Data: High-Speed Rail Passenger Research Methodologies (2010–2025)

description: This dataset contains the search strings, PRISMA flow data, and full synthesis matrix for a systematic literature review on High-Speed Rail passenger survey methods.

This data supports the findings in the forthcoming article: 'MISSING THE INNOVATION PASSENGER: METHODOLOGICAL BLIND SPOTS IN HIGH-SPEED RAIL RESEARCH' .
DOI: 10.17632/ybs2wfy3ck.1
title: Systematic Review Data: High-Speed Rail Passenger Research Methodologies (2010–2025)

description: This dataset contains the search strings, PRISMA flow data, and full synthesis matrix for a systematic literature review on High-Speed Rail passenger survey methods.

This data supports the findings in the forthcoming article: 'MISSING THE INNOVATION PASSENGER: METHODOLOGICAL BLIND SPOTS IN HIGH-SPEED RAIL RESEARCH' .
DOI: 10.17632/jwx2ycm2yb
title: data of melasma

description: Changes in mMASI scores before and after treatment in some patients
DOI: 10.17632/jwx2ycm2yb.1
title: data of melasma

description: Changes in mMASI scores before and after treatment in some patients
DOI: 10.5281/zenodo.18748889
title: ABDULLA AVLONIY QARASHLARIDA TA'LIM VA TARBIYA MASALALARI HAMDA ULARNING YANGI O'ZBEKISTON SHAROITIDAGI AHAMIYATI

description: Mazkur maqolada jadid ma’rifatchisi Abdulla Avloniy qarashlarida ta’lim va tarbiya masalalarining nazariy asoslari tahlil qilinadi hamda ularning Yangi O‘zbekiston sharoitidagi ahamiyati ochib beriladi. Avloniyning “Turkiy guliston yoxud axloq”, “Adabiyot yoxud milliy tarbiya”, “Maktab gulistoni” asarlarida ilgari surilgan pedagogik g‘oyalar tizimli ravishda o‘rganilib, zamonaviy ta’lim islohotlari bilan qiyosiy tahlil qilinadi. Tadqiqot natijasida Avloniy merosining bugungi yoshlar siyosati va ma’naviy-ma’rifiy islohotlar uchun metodologik asos bo‘lib xizmat qilishi ilmiy jihatdan asoslab beriladi.
DOI: 10.5281/zenodo.18748890
title: ABDULLA AVLONIY QARASHLARIDA TA'LIM VA TARBIYA MASALALARI HAMDA ULARNING YANGI O'ZBEKISTON SHAROITIDAGI AHAMIYATI

description: Mazkur maqolada jadid ma’rifatchisi Abdulla Avloniy qarashlarida ta’lim va tarbiya masalalarining nazariy asoslari tahlil qilinadi hamda ularning Yangi O‘zbekiston sharoitidagi ahamiyati ochib beriladi. Avloniyning “Turkiy guliston yoxud axloq”, “Adabiyot yoxud milliy tarbiya”, “Maktab gulistoni” asarlarida ilgari surilgan pedagogik g‘oyalar tizimli ravishda o‘rganilib, zamonaviy ta’lim islohotlari bilan qiyosiy tahlil qilinadi. Tadqiqot natijasida Avloniy merosining bugungi yoshlar siyosati va ma’naviy-ma’rifiy islohotlar uchun metodologik asos bo‘lib xizmat qilishi ilmiy jihatdan asoslab beriladi.
DOI: 10.17632/4nfxsxhjff
title: Ecological conservation and restoration technologies for degraded vegetation in abandoned coal-mine agglomeration areas: Research progress, mechanistic insights and future perspectives

description: Ecological conservation and restoration technologies for degraded vegetation in abandoned coal-mine agglomeration areas: Research progress, mechanistic insights and future perspectives
DOI: 10.17632/4nfxsxhjff.1
title: Ecological conservation and restoration technologies for degraded vegetation in abandoned coal-mine agglomeration areas: Research progress, mechanistic insights and future perspectives

description: Ecological conservation and restoration technologies for degraded vegetation in abandoned coal-mine agglomeration areas: Research progress, mechanistic insights and future perspectives
DOI: 10.17632/gfsn8x62dk
title: Penerapan BERT dalam Memetakan Opini Pengguna Instagram Terhadap Program Makan Bergizi Gratis

description: This dataset consists of Instagram comments collected from users in South Sumatra discussing the MBG (Free Lunch Program), obtained through hashtag-based scraping using the keyword #MBG. A total of 14,742 comments were collected from 93 Instagram posts published between February 15, 2025, and October 12, 2025. The data collection process was conducted using a Python-based web scraping script utilizing the Instagrapi library executed in the Google Colab environment to retrieve publicly available comments associated with the selected hashtag. To ensure data quality, a validation process was performed by removing empty comment entries and ensuring data completeness. The dataset then underwent preprocessing stages including text cleaning, tokenization using NLTK, stopword removal, and stemming using the Sastrawi library. After preprocessing, the dataset size was reduced from 14,742 comments to 14,051 validated comments, which were used as the final dataset for analysis. This dataset can be utilized for sentiment analysis, public opinion monitoring, policy evaluation, and Natural Language Processing (NLP) research, providing empirical insights into community responses toward public welfare programs on social media. Furthermore, the dataset can be continuously reused for future research, comparative studies, and the development of data-driven policy evaluation models, supporting sustainable and long-term analysis of public sentiment trends.
DOI: 10.17632/gfsn8x62dk.1
title: Penerapan BERT dalam Memetakan Opini Pengguna Instagram Terhadap Program Makan Bergizi Gratis

description: This dataset consists of Instagram comments collected from users in South Sumatra discussing the MBG (Free Lunch Program), obtained through hashtag-based scraping using the keyword #MBG. A total of 14,742 comments were collected from 93 Instagram posts published between February 15, 2025, and October 12, 2025. The data collection process was conducted using a Python-based web scraping script utilizing the Instagrapi library executed in the Google Colab environment to retrieve publicly available comments associated with the selected hashtag. To ensure data quality, a validation process was performed by removing empty comment entries and ensuring data completeness. The dataset then underwent preprocessing stages including text cleaning, tokenization using NLTK, stopword removal, and stemming using the Sastrawi library. After preprocessing, the dataset size was reduced from 14,742 comments to 14,051 validated comments, which were used as the final dataset for analysis. This dataset can be utilized for sentiment analysis, public opinion monitoring, policy evaluation, and Natural Language Processing (NLP) research, providing empirical insights into community responses toward public welfare programs on social media. Furthermore, the dataset can be continuously reused for future research, comparative studies, and the development of data-driven policy evaluation models, supporting sustainable and long-term analysis of public sentiment trends.
DOI: 10.17632/6r7fg5v3zh
title: Election and Market Dynamics

description: Data for the title Elections and Market Dynamics: Integrating GARCH and Event Study Model to Asses Impacts in US and APAC Countries
DOI: 10.17632/6r7fg5v3zh.1
title: Election and Market Dynamics

description: Data for the title Elections and Market Dynamics: Integrating GARCH and Event Study Model to Asses Impacts in US and APAC Countries
DOI: 10.17632/ngb85p4r28
title: Time-series of radiocesium (Cs-137) in forest–stream ecosystem compartments of the Ota River catchment (Fukushima, Japan), 2018–2025
DOI: 10.17632/ngb85p4r28.1
title: Time-series of radiocesium (Cs-137) in forest–stream ecosystem compartments of the Ota River catchment (Fukushima, Japan), 2018–2025
DOI: 10.17632/zbr4ygctgj
title: Evolution and patterns of fold-thrust belt deformation with different crustal structures: Inferences from analog models under the hypergravity field and the normal gravity field

description: The experimental data of "Evolution and patterns of fold-thrust belt deformation with different crustal structures: Inferences from analog models under the hypergravity field and the normal gravity field", that will be submitted to Geophysical Research Letters. The data includes BMP photos and ASC elevation files of experimental models. The details are as follows. Side-view photos of models HG1, HG2, and G1; top-view photos of models HG1 and HG2; cross section photos of models G3, G4, and G7; elevation data of models HG1, HG2, and G1-G7.
DOI: 10.17632/zbr4ygctgj.1
title: Evolution and patterns of fold-thrust belt deformation with different crustal structures: Inferences from analog models under the hypergravity field and the normal gravity field

description: The experimental data of "Evolution and patterns of fold-thrust belt deformation with different crustal structures: Inferences from analog models under the hypergravity field and the normal gravity field", that will be submitted to Geophysical Research Letters. The data includes BMP photos and ASC elevation files of experimental models. The details are as follows. Side-view photos of models HG1, HG2, and G1; top-view photos of models HG1 and HG2; cross section photos of models G3, G4, and G7; elevation data of models HG1, HG2, and G1-G7.
DOI: 10.17632/j6m55gy2rg
title: Supplementary Material: Herd-level prevalence of contagious mastitis pathogens and insights into somatic cell count dynamics using bulk tank milk samples from dairy farms in Alberta, Canada

description: Supplementary materials for "Herd-level prevalence of contagious mastitis pathogens and insights into somatic cell count dynamics using bulk tank milk samples from dairy farms in Alberta, Canada" 

Table S1 and Table S2
DOI: 10.17632/j6m55gy2rg.1
title: Supplementary Material: Herd-level prevalence of contagious mastitis pathogens and insights into somatic cell count dynamics using bulk tank milk samples from dairy farms in Alberta, Canada

description: Supplementary materials for "Herd-level prevalence of contagious mastitis pathogens and insights into somatic cell count dynamics using bulk tank milk samples from dairy farms in Alberta, Canada" 

Table S1 and Table S2
DOI: 10.17632/drjmrf5kk5
title: KIIT-MiTA

description: High-Resolution Drone Imagery for Military Object Detection and Recognition

About Dataset

Drone Images for Military Object Detection

This dataset contains 1,700 high-resolution images captured by drones, annotated in the YOLO format for object detection tasks.
The images span 7 distinct classes, including:

Artilary
Missile
Radar
M. Rocket Launcher
Soldier
Tank
Vehicle
🧩 Key Features
Suitable for military and security-focused research.
Includes detailed bounding box annotations for each object class.
Ideal for training YOLO-based models or other object detection architectures.
⚙️ Usage
This dataset is intended for educational and research purposes only.
Commercial use is strictly prohibited.
If used, proper attribution to the creator is required.

📄 Citation
If you use this dataset in your research, please cite the following paper:

S. Chakrabarty, R. Chatterjee, S. Chakraborty, S. Roy Shuvo, and R. Chowdhury,
"Drones in Defense: Real-Time Vision-Based Military Target Surveillance and Tracking,"
2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC),
Silchar, India, 2025, pp. 508–513,
doi: 10.1109/ISACC65211.2025.10969335

🔗 Paper Link
📘 View on IEEE Xplore

⚠️ Note
This dataset was used as part of the above research publication.
Please ensure proper citation if you use it in any academic or research work.
DOI: 10.17632/drjmrf5kk5.1
title: KIIT-MiTA

description: High-Resolution Drone Imagery for Military Object Detection and Recognition

About Dataset

Drone Images for Military Object Detection

This dataset contains 1,700 high-resolution images captured by drones, annotated in the YOLO format for object detection tasks.
The images span 7 distinct classes, including:

Artilary
Missile
Radar
M. Rocket Launcher
Soldier
Tank
Vehicle
🧩 Key Features
Suitable for military and security-focused research.
Includes detailed bounding box annotations for each object class.
Ideal for training YOLO-based models or other object detection architectures.
⚙️ Usage
This dataset is intended for educational and research purposes only.
Commercial use is strictly prohibited.
If used, proper attribution to the creator is required.

📄 Citation
If you use this dataset in your research, please cite the following paper:

S. Chakrabarty, R. Chatterjee, S. Chakraborty, S. Roy Shuvo, and R. Chowdhury,
"Drones in Defense: Real-Time Vision-Based Military Target Surveillance and Tracking,"
2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC),
Silchar, India, 2025, pp. 508–513,
doi: 10.1109/ISACC65211.2025.10969335

🔗 Paper Link
📘 View on IEEE Xplore

⚠️ Note
This dataset was used as part of the above research publication.
Please ensure proper citation if you use it in any academic or research work.
DOI: 10.17632/vh748dtkdj
title: Pahari-NER

description: This dataset represents the first annotated Named Entity Recognition (NER) dataset developed for the Pahari language, created to support research in low-resource natural language processing and linguistic analysis. The corpus contains manually annotated text in which each token is labeled with its corresponding named entity category, such as person, location, organization, and other relevant entities, following standard sequence labeling conventions. The dataset has been prepared in a structured, machine-readable format suitable for training and evaluating computational models including traditional machine learning and deep learning approaches. It is intended to facilitate the development of NER systems, promote reproducible research, and contribute to the advancement of language technology resources for the Pahari language.
DOI: 10.17632/vh748dtkdj.1
title: Pahari-NER

description: This dataset represents the first annotated Named Entity Recognition (NER) dataset developed for the Pahari language, created to support research in low-resource natural language processing and linguistic analysis. The corpus contains manually annotated text in which each token is labeled with its corresponding named entity category, such as person, location, organization, and other relevant entities, following standard sequence labeling conventions. The dataset has been prepared in a structured, machine-readable format suitable for training and evaluating computational models including traditional machine learning and deep learning approaches. It is intended to facilitate the development of NER systems, promote reproducible research, and contribute to the advancement of language technology resources for the Pahari language.
DOI: 10.17632/nrft4gtzyd
title: Supplementary material for "Exploratory Evaluation of Local Hyperthermia (44±2°C) in Granuloma Annulare"

description: Supplementary tables and figures supporting the pilot randomized controlled study on local hyperthermia for granuloma annulare.
DOI: 10.17632/nrft4gtzyd.1
title: Supplementary material for "Exploratory Evaluation of Local Hyperthermia (44±2°C) in Granuloma Annulare"

description: Supplementary tables and figures supporting the pilot randomized controlled study on local hyperthermia for granuloma annulare.
DOI: 10.17632/cj5zhd2j7g
title: Source data for: MT2A buffering exhaustion drives cuproptosis

description: Source data for figures and tables. Manuscript: FRBM-S-26-00079.
DOI: 10.17632/cj5zhd2j7g.1
title: Source data for: MT2A buffering exhaustion drives cuproptosis

description: Source data for figures and tables. Manuscript: FRBM-S-26-00079.