cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24967539.v1
title: Source Data.xlsx

description: Ionic thermoelectric (i-TE) liquid cells offer an environmentally friendly, cost effective, and easy-operation route to low-grade heat recovery. However, the lowest temperature is limited by the freezing temperature of the aqueous electrolyte. Applying a eutectic solvent strategy, we fabricate a high-performance cryo-temperature i-TE liquid cell. Formamide is used as a chaotic organic solvent that destroys the hydrogen bond network between water molecules, forming a deep eutectic solvent that enables the cell to operate near cryo temperatures (down to –35°C). After synergistic optimization of the electrode and cell structure, the as-fabricated liquid i-TE cell with cold (–35°C) and hot (70°C) ends achieve a high power density (17.5 W m<sup>−2</sup>) and a large two-hour energy density (27 kJ m<sup>−2</sup>). In a prototype 25-cell module, the open-circuit voltage and short-circuit current are 6.9 V and 68 mA, respectively, and the maximum power is 131 mW. The anti-freezing ability and high output performance of the as-fabricated i-TE liquid cell system are requisites for applications in frigid regions.
DOI: 10.7910/dvn/yvs9wk
title: Replication Data for: The Power of Internet: from the Perspective of Women’s Bargaining Power

description: The file includes used dataset and Stata do file for the paper "The Power of Internet: from the Perspective of Women’s Bargaining Power"
DOI: 10.17632/rzmvs27k66.1
title: Dataset of Comparative Analysis of Dengue Fever and Virus Query Responses from ChatGPT, Google Bard, Google Search, and Bing in Bangla

description: Dengue fever poses a significant health challenge in Bangladesh, exacerbated by the country's conducive environment for the disease. To address the public's concerns about dengue symptoms, transmission, and treatment, many are turning to web search engines and chatbots like Google, Bing, BARD, and ChatGPT since smartphone and Internet users are regularly increasing in Bangladesh. A questionnaire-based dataset has been developed using these tools to provide comprehensive information. These chatbots, powered by Large Language Models (LLMs), offer content in Bengali, catering to the local population's preference for their native language. The study aims to compare the accuracy of responses from these digital platforms, utilizing ChatGPT-3.5 due to the inaccessibility of GPT-4. This research is significant for understanding public confusion and misinformation regarding dengue, as observed in various media in Bangladesh. This study introduces the 'Dengue Query Dataset Bangla', a meticulously curated dataset derived from queries observed in printed news media, television podcasts, and talk shows. It offers a comprehensive overview of the key questions and areas of confusion surrounding the recent dengue outbreak in Bangladesh. This dataset serves as a valuable resource, consolidating answers to various aspects of dengue in a single, accessible location.

Each file in the dataset is in MS Excel (.xlsx) format, containing a total of 310 queries and corresponding responses in 17 sheets with 5 columns each. These sheets comprehensively cover a range of topics related to dengue. Each Excel file in the dataset is structured (as sheets) to address the following related topics concerning dengue:
1. Signs And Symptoms Related
2. Current Situation Related
3. Post-Dengue Implications Related
4. Treatment Related
5. Dengue Prevention Related
6. Economical Effect Related
7. Dengue Research Related
8. Child Care Related
9. Dengue Lifecycle And Gene Structure Related
10. Dengue And Other Diseases Related
11. Dengue And Social Crisis Related
12. Dengue And Mass Media Related
13. Dengue And International Organizations Related
14. Dengue, AI, And E-Hospital Service Related
15. Dengue And New Therapies Related
16. Dengue Tests Related
17. Dengue Vaccine Related

Each of the sheets contains 5 columns as follows:
1. Questions: This column lists validated questions in Bangla.

2. Answer: Responses from the corresponding search engine/chatbot in Bangla.

4. Correctness: Measures the authenticity of responses from the corresponding search engine/chatbot where the scoring are: 1- Correct, 2- Nearly Correct, and 3- Irrelevant

5. Fluency: Evaluates the fluidity of responses from the corresponding search engine/chatbot where the scoring are: 1- Amazing, 2-Good, 3- Average, 4- somehow understandable, and 5-not understandable.

6. Goal Achieved Status: Assesses if the expected answer was obtained. Scored as 1 if the answer meets the target goal and 0 otherwise.
DOI: 10.17632/zrm773znvb.1
title: O2 and O3 absorption cross-sections data

description: absorption cross-sections of O2 and O3 by controlling the conversion of O2 to O3 in the line-ar-absorption region.
DOI: 10.17632/24x9hdckx5.1
title: MehNet Source Code and IDs

description: The dataset is related to the article "MehNet: A vigesimal-based model by amino acid melting points generates unique ID numbers for protein sequences". The MehNet study aims to assign a constant value to each amino acid, thereby creating distinctions among protein sequences. The datasets used in this study were obtained from the UniProt Knowledgebase. Subsequently, these datasets underwent preprocessing steps, and identical sequences were categorized under the same headings. Each amino acid was ranked based on its respective melting point and was assigned a vigesimal digit. These generated vigesimal digits were subsequently converted to decimal values. The centerpiece of this methodology was the melting point hashing table, which was given the name "MehNet." Ultimately, each protein sequence was assigned a unique identification number. This approach successfully digitized protein sequences.
DOI: 10.5281/zenodo.10423696
title: AFM images of cell-free DNA on poly-L-lysine mica, dry imaging. Sample: GCT01
DOI: 10.5281/zenodo.10423697
title: AFM images of cell-free DNA on poly-L-lysine mica, dry imaging. Sample: GCT01
DOI: 10.5281/zenodo.10423541
title: AFM images of cell-free DNA on poly-L-lysine mica, dry imaging. Sample: OVCA01
DOI: 10.5281/zenodo.10423542
title: AFM images of cell-free DNA on poly-L-lysine mica, dry imaging. Sample: OVCA01
DOI: 10.6084/m9.figshare.24056658
title: Data and code for the paper Detecting Road Network Errors from Trajectory Data with Partial Map Matching and Bidirectional Recurrent Neural Network Model

description: <pre>This repository contains data and codes for the manuscript _Detecting Road Network Errors from Trajectory Data with Partial Map Matching and Bidirectional Recurrent Neural Network Model_ submitted to IJGIS. <br><br>Requirements (tested with Python 3.8.8):<br><br>- Numpy &gt;= 1.22.4<br>- PyTorch &gt;= 2.0.0<br>- Sklearn &gt;= 0.24.1 <br>- Shapely &gt;= 1.8.2<br>- rtree &gt;= 1.0.0<br>- Networkx &gt;= 2.8.4<br>- Geopandas &gt;= 0.10.2<br><br>### Code structure <br><br>- lib: codes for partial map matching, context feature extraction and BiRNN model<br>- data: a sample of training and test dataset in npz format, which contains "xy" and "label" attribute storing the trajectory geometry<br>and manually labels. It also contains a shapefile of road network. <br><br>### Run the program with two steps <br><br>```bash<br># 1. Generate context features<br><br>python feature_extract.py<br><br># 2. Training a BiRNN model for classification<br><br>python train_birnn.py<br>```<br><br>For demonstration, data folder contains a small trajectory dataset with labels and road network downloaded from OSM. Accessing the complete dataset can be applied at https://outreach.didichuxing.com/. </pre><br>
DOI: 10.21334/npolar.2024.2f4ab9f0
title: Unittest Dataset
DOI: 10.17632/x62zvc7pz6.1
title: Anti-fatigue effects of rosemary essential oil via the Nrf2/ARE and the Sirt1/PGC-1α/Nrf1 signaling pathway in mice. (original data)

description: This document is the original data of the article, including basic behavioral tests data analysis table, biochemical indicators data analysis table and neurotransmitter data analysis table.
DOI: 10.17632/9bssd95tn2.1
title: Phase Noise Analysis of Time Transfer Over White Rabbit-Network based Optical Fibre Links Data set

description: Data is related to Phase Noise Analysis of Time Transfer Over WR network based optical Fibre Links
DOI: 10.17632/kw4kd2n7h4.1
title: Supplemental Material for A small-strain hypo-elastic constitutive model and application to foundation field tests for initial stiffness evaluation

description: This supplemental material complements the technical paper ‘A small-strain hypo-elastic constitutive model and application to foundation field tests for initial stiffness evaluation’. This material provides comprehensive original data, along with a thorough description of statistical methods used for model calibration. Detailed layouts are presented for the three-dimensional finite element models in Abaqus. The seismic site investigation is documented for the Mustang Island test site. Additionally, this material explores the correlation between von Mises stress and mean effective stress, offering deeper insights into the findings of the original research.
DOI: 10.5281/zenodo.10379709
title: Supplementary digital data for "Widespread contamination of soils and vegetation with Current Use Pesticide residues along altitudinal gradients in a European Alpine valley"

description: Supplementary digital data for the publication:

Widespread contamination of soils and vegetation with Current Use Pesticide residues along altitudinal gradients in a European Alpine valley

Data that was no publicly available but is used for Figure 1 - 3 in the manuscript is provided in this repository in addition to the raw data describing the occurrence in plant and soil matrices throughout the Vinschgau valley along the altitudinal transects.
DOI: 10.5281/zenodo.10379708
title: Supplementary digital data for "Widespread contamination of soils and vegetation with Current Use Pesticide residues along altitudinal gradients in a European Alpine valley"

description: Supplementary digital data for the publication:

Widespread contamination of soils and vegetation with Current Use Pesticide residues along altitudinal gradients in a European Alpine valley

Data that was no publicly available but is used for Figure 1 - 3 in the manuscript is provided in this repository in addition to the raw data describing the occurrence in plant and soil matrices throughout the Vinschgau valley along the altitudinal transects.
DOI: 10.5281/zenodo.8278519
title: Machine-learning-based reconstruction of grey-scaled MSG-SEVIRI Dust RGB images

description: Reconstructions of grey-scaled images of the MSG-SEVIRI Dust RGB product at 9, 12, and 15 UTC in 2021 and 2022 and the trained artificial neural networks used to obtain the reconstructions. The reconstructions were performed to restore the full extent of dust plumes, which are partially obscured by clouds. The dataset further contains reconstructed dust aerosol optical depth reconstructions, which were used to gauge the performance.

The dataset accompanies the following publication:

Kanngießer and Fiedler, 2024, "Seeing" beneath the clouds - machine-learning-based reconstruction of North African dust plumes, AGU Advances, In Press.
DOI: 10.5281/zenodo.10423726
title: AFM images of cell-free DNA on poly-L-lysine mica, dry imaging. Sample: Thermo Scientific GeneRuler 50 bp DNA Ladder
DOI: 10.5281/zenodo.10423727
title: AFM images of cell-free DNA on poly-L-lysine mica, dry imaging. Sample: Thermo Scientific GeneRuler 50 bp DNA Ladder
DOI: 10.5281/zenodo.10423355
title: AFM images of cell-free DNA on poly-L-lysine mica, dry imaging. Sample: OVCA07
DOI: 10.5281/zenodo.10423356
title: AFM images of cell-free DNA on poly-L-lysine mica, dry imaging. Sample: OVCA07
DOI: 10.5281/zenodo.10423114
title: AFM images of cell-free DNA on poly-L-lysine mica, dry imaging. Sample: HC03
DOI: 10.5281/zenodo.10423115
title: AFM images of cell-free DNA on poly-L-lysine mica, dry imaging. Sample: HC03
DOI: 10.5517/ccdc.csd.cc28h1g9
title: CCDC 2099830: Experimental Crystal Structure Determination

description: Related Article: Shaoting Yang, Xinyi Zhou, Yajing Hu, Laura Abella, Yang-Rong Yao, Ping Peng, Qianyan Zhang, Antonio Rodríguez-Fortea, Josep M. Poblet, Fang-Fang Li|2023|J.Org.Chem.|88|4234|doi:10.1021/acs.joc.2c02779
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10473146
title: List of SNP marker sets significantly associated with ash dieback resistance from the study "Genomic prediction of resistance to Hymenoscyphus fraxineus in common ash (Fraxinus excelsior L.) populations".

description: Sets of 100, 200, 2500, and 5000 SNP markers associated with ash dieback resistance were obtained using the genomic prediction approach described in Meger et al. (2024) "Genomic prediction of resistance to Hymenoscyphus fraxineus in common ash (Fraxinus excelsior L.) populations". The work was supported by the National Science Centre, Poland, grant No. 2021/05/X/NZ9/01766.
DOI: 10.5281/zenodo.10473147
title: List of SNP marker sets significantly associated with ash dieback resistance from the study "Genomic prediction of resistance to Hymenoscyphus fraxineus in common ash (Fraxinus excelsior L.) populations".

description: Sets of 100, 200, 2500, and 5000 SNP markers associated with ash dieback resistance were obtained using the genomic prediction approach described in Meger et al. (2024) "Genomic prediction of resistance to Hymenoscyphus fraxineus in common ash (Fraxinus excelsior L.) populations". The work was supported by the National Science Centre, Poland, grant No. 2021/05/X/NZ9/01766.
DOI: 10.5281/zenodo.10467604
title: SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge (CtrSVDD Track, Training/Development Set)

description: For more information about SVDD Challenge 2024, please refer to https://challenge.singfake.org/.We have released the training and development set here and other relevant scripts on GitHub (https://github.com/SVDDChallenge/SVDD_Utils). For evaluation, we will provide a test set with undisclosed labels at a later date and ask teams to score each utterance. Using the submitted scores, we will calculate and rank participant systems on EER.Please note that due to licensing issues, the training and development set here is not complete. Please follow the instructions detailed in the GitHub repository to complete the generation process of the dataset.
DOI: 10.5281/zenodo.10467605
title: SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge (CtrSVDD Track, Training/Development Set)
DOI: 10.5281/zenodo.10467648
title: SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge (CtrSVDD Track, Training/Development Set)

description: For more information about SVDD Challenge 2024, please refer to https://challenge.singfake.org/.We have released the training and development set here and other relevant scripts on GitHub (https://github.com/SVDDChallenge/SVDD_Utils). For evaluation, we will provide a test set with undisclosed labels at a later date and ask teams to score each utterance. Using the submitted scores, we will calculate and rank participant systems on EER.Please note that due to licensing issues, the training and development set here is not complete. Please follow the instructions detailed in the GitHub repository to complete the generation process of the dataset.
DOI: 10.34740/kaggle/dsv/7368591
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.5281/zenodo.10473404
title: OUCRU Seed Awards - end of project reflections: underlying data and report form template
title: Reflections on OUCRU seed awards

description: OUCRU Seed Awardees were required to complete an end of project report, including reflections on the scheme. The report form template and relevant anonymised data is included.
DOI: 10.5281/zenodo.10473405
title: OUCRU Seed Awards - end of project reflections: underlying data and report form template
title: Reflections on OUCRU seed awards

description: OUCRU Seed Awardees were required to complete an end of project report, including reflections on the scheme. The report form template and relevant anonymised data is included.
DOI: 10.25919/e4gz-2j71
title: Parkes observations for project P1165 semester 2023OCTS_05

description: We recently discovered a new pulsar J1849+1001 (35.1 ms) in a FAST pulsar survey at intermediate Galactic latitudes (PT2020_0141). Follow-up timing observations show that they are in circular orbits with massive companions. This suggests that PSR J1849+1001 can be classified as an intermediate-mass binary pulsar (IMBP). Their massive companions also make them promising systems to measure "Post-Keplerian" parameters through pulsar timing. These Parkes observations will be combined with regular timing observations with FAST to measure "Post-Keplerian" parameters and then measure both neutron star and companion masses.
DOI: 10.5281/zenodo.10473357
title: Hierarchical Method for the Analysis of Protein-DNA interface
DOI: 10.5281/zenodo.10473356
title: Hierarchical Method for the Analysis of Protein-DNA interface
DOI: 10.6084/m9.figshare.19714591
title: PGS weights for evaluation of polygenic scoring methods in five biobanks

description: These files contain polygenic (risk) score (PGS/PRS) weights from 7 methods produced with prspipe (https://github.com/intervene-EU-H2020/prspipe). Variant positions and reference alleles can be found in the prspipe repository (HapMap3-1KG variants). A subset of these scores were evaluated in Monti et al. [1], and are made available on the PGS catalog (https://www.pgscatalog.org/publication/PGP000517/).Scores are based on GWAS summary statistics hosted on the NHGRI-EBI GWAS Catalog (https://www.ebi.ac.uk/gwas/home) under CC0 license unless stated there otherwise. When using these scores, please cite the studies which provided the summary statistics (identifiers starting with <i>GCST</i>), as well as the manuscript [1] and tool used to create the score.[1] Monti, Remo, et al. "Evaluation of polygenic scoring methods in five biobanks reveals greater variability between biobanks than between methods and highlights benefits of ensemble learning." <i>medRxiv</i> (2023): 2023-11.<br><br>The scores for p-value thresholding followed and clumping (pt_clump) provided here are not nested. To make these scoring files nested, the following command can be used:<br><br>zcat INFILE | awk '{ if(NR==1){for(i=3; i&lt;=NF; i++){$i=$i"_nested"}; print $0} else{for(i=3; i&lt;=NF; i++){ if(c){$i = c}; if($i != 0){c = $i}}; print $0; c=0}}' | gzip &gt; OUTFILE<br><br>where INFILE should be the path to the input file (e.g. prs/pt_clump/GCST008059/1KGPhase3.w_hm3.GCST008059.score.gz) and OUTFILE is the the path to the output file.<br>
DOI: 10.6084/m9.figshare.19714591.v1
title: PGS weights for comparative evaluation of polygenic scoring methods in five biobanks

description: These files contain polygenic (risk) score (PGS/PRS) weights from 7 methods produced with prspipe (https://github.com/intervene-EU-H2020/prspipe). Variant positions and reference alleles can be found in the prspipe repository (HapMap3-1KG variants). A subset of these scores were evaluated in Monti et al. [1], and will be made available on the PGS catalog (https://www.pgscatalog.org/), which presents the preferred way to access those scores.Scores are based on GWAS summary statistics hosted on the NHGRI-EBI GWAS Catalog (https://www.ebi.ac.uk/gwas/home) under CC0 license unless stated there otherwise. When using these scores, please cite the study/studies which provided the summary statistics (identifiers starting with <i>GCST</i>), as well as the manuscript [1] and tool used to create the score.[1]<br><br>The scores for p-value thresholding followed and clumping (pt_clump) provided here are not nested. To make these scoring files nested, the following command can be used:<br><br>zcat INFILE | awk '{ if(NR==1){for(i=3; i&lt;=NF; i++){$i=$i"_nested"}; print $0} else{for(i=3; i&lt;=NF; i++){ if(c){$i = c}; if($i != 0){c = $i}}; print $0; c=0}}' | gzip &gt; OUTFILE<br><br>where INFILE should be the path to the input file (e.g. prs/pt_clump/GCST008059/1KGPhase3.w_hm3.GCST008059.score.gz) and OUTFILE is the the path to the output file.<br>
DOI: 10.5281/zenodo.10040031
title: Data set for "Room-temperature quantum optomechanics using an ultra-low noise cavity"

description: The repository contains raw data, processing scripts, simulation files, and GDS files for the manuscript "Room-temperature quantum optomechanics using an ultra-low noise cavity." For detailed usage instructions, please take a look at the ReadMe.txt files.
DOI: 10.5281/zenodo.10040032
title: Data set for "Room-temperature quantum optomechanics using an ultra-low noise cavity"

description: The repository contains raw data, processing scripts, simulation files, and GDS files for the manuscript "Room-temperature quantum optomechanics using an ultra-low noise cavity." For detailed usage instructions, please take a look at the ReadMe.txt files.
DOI: 10.5281/zenodo.10473301
title: Dataset associated to Kunie Ishioka, et al., Phys. Rev. B 107, 184302 (2023)

description: Main figure files (Figures 1- 7), containing relevant data and its analysis reported in  Phys. Rev. B 107, 184302 (2023).

The files represent the saved experiments produced by Wavemetrics Igor Pro 8 software.
DOI: 10.5281/zenodo.10473302
title: Dataset associated to Kunie Ishioka, et al., Phys. Rev. B 107, 184302 (2023)

description: Main figure files (Figures 1- 7), containing relevant data and its analysis reported in  Phys. Rev. B 107, 184302 (2023).

The files represent the saved experiments produced by Wavemetrics Igor Pro 8 software.
DOI: 10.5281/zenodo.10473512
title: Data accompanying the publication "Rapid single-shot parity spin readout in a silicon double quantum dot with fidelity exceeding 99 %"

description: Data accompanying the publication "Rapid single-shot parity spin readout in a silicon double quantum dot with fidelity exceeding 99 %"
DOI: 10.5281/zenodo.10473513
title: Data accompanying the publication "Rapid single-shot parity spin readout in a silicon double quantum dot with fidelity exceeding 99 %"

description: Data accompanying the publication "Rapid single-shot parity spin readout in a silicon double quantum dot with fidelity exceeding 99 %"