cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24715626
title: The 50 slides of dataset and trained models

description: Binary semantic segmentation for detection of prostate adenocarcinoma using an ensemble with attention and residual U-Net architecturesAn accurate determination of the Gleason Score or Gleason Pattern (GP) is crucial in the diagnosis of prostate cancer (PCa) because it is one of the criterion used to guide treatment decisions for prognostic-risk groups. However, the manually designation of GP by a pathologist using a microscope is prone to error and subject to significant inter-observer variability. Deep learning has been used to automatically differentiate GP on digitized slides, aiding pathologists and reducing inter-observer variability, especially in the early GP of cancer. This paper presents a binary semantic segmentation for the GP of prostate adenocarcinoma. The segmentation separates benign and malignant tissues, with the malignant class consisting of adenocarcinoma GP3 and GP4 tissues annotated from 50 unique digitized whole slide images (WSIs) of prostate needle core biopsy specimens stained with hematoxylin and eosin. The pyramidal digitized WSIs were extracted into image patches with a size of 256 x 256 pixels at a magnification of 20X. An ensemble approach is proposed combining U-Net-based architectures, including traditional U-Net, attention-based U-Net, and residual attention-based U-Net. This work initially considers a PCa tissue analysis using a combination of attention gate units with residual convolution units. The performance evaluation revealed a mean Intersection-over-Union of 0.79 for the two classes, 0.88 for the benign class, and 0.70 for the malignant class. The proposed method was then used to produce pixel-level segmentation maps of PCa adenocarcinoma tissue slides in the testing set. We developed a screening tool to discriminate between benign and malignant prostate tissue in digitized images of needle biopsy samples using an AI approach. We aimed to identify malignant adenocarcinoma tissues from our own collected, annotated, and organized dataset. Our approach returned the performance which was accepted by the pathologists.
DOI: 10.5281/zenodo.10245933
title: Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers - Part I

description: Dataset Part I for publication "Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers", in Nature Communications.
DOI: 10.5281/zenodo.10245934
title: Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers - Part I

description: Dataset Part I for publication "Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers", in Nature Communications.
DOI: 10.5281/zenodo.10245964
title: Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers - Part II

description: Dataset Part II for publication "Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers", in Nature Communications.
DOI: 10.5281/zenodo.10245965
title: Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers - Part II

description: Dataset Part II for publication "Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers", in Nature Communications.
DOI: 10.25345/c5n29ph9v
title: MassIVE MSV000093556 - Rapid Discovery of Antitumor Substances from Marine Fungi Based on UPLC-Q-TOF-MS
title: The research results of this paper show that the directional separation method combined with UPLC-QTOF-MS / MS technology and GNPS, ACD and other network identification methods can effectively solve the above problems, and quickly and effectively find antitumor active substances from a large number of marine fungal samples cultured by OSMAC strategy.
DOI: 10.6084/m9.figshare.21946907
title: Tap Water Isotope Data from the Netherlands

description: Tap water samples from the Netherlands. Oxygen, hydrogen and strontium isotope data.
DOI: 10.5281/zenodo.10250828
title: MALDI-TOF-MS spectra of archaeological bone associated with fishhook manufacture from Moloka'i, Hawai'i, for ZooMS (Zooarchaeology by Mass Spectrometry)

description: MALDI-TOF-MS spectra for archaeological bone fragments associated with fishhook manufacture from Moloka'i, Hawai'i. All spectra are uploaded in .mzml format.
DOI: 10.5281/zenodo.10244509
title: Data associated to the paper "Phase diagram detection via Gaussian fitting of number probability distribution"

description: We investigate the number probability density function that characterizes subportions of a quantum many-body system with globally conserved number of particles. We put forward a linear fitting protocol capable of mapping out the ground-state phase diagram of the rich one-dimensional extended Bose-Hubbard model: The results are quantitatively comparable with more sophisticated traditional and machine learning techniques. We argue that the studied quantity should be considered among the most informative bipartite properties, being moreover readily accessible in atomic gases experiments.The dataset contains the entanglement spectra of several configurations of the extended Bose-Hubbard model ground state for different systems' sizes. 
description: Co-funding: Italian Ministry of Education, University and Research (MIUR-PRIN-20172H2SC4).
DOI: 10.5281/zenodo.10244510
title: Data associated to the paper "Phase diagram detection via Gaussian fitting of number probability distribution"

description: We investigate the number probability density function that characterizes subportions of a quantum many-body system with globally conserved number of particles. We put forward a linear fitting protocol capable of mapping out the ground-state phase diagram of the rich one-dimensional extended Bose-Hubbard model: The results are quantitatively comparable with more sophisticated traditional and machine learning techniques. We argue that the studied quantity should be considered among the most informative bipartite properties, being moreover readily accessible in atomic gases experiments.The dataset contains the entanglement spectra of several configurations of the extended Bose-Hubbard model ground state for different systems' sizes. 
description: Co-funding: Italian Ministry of Education, University and Research (MIUR-PRIN-20172H2SC4).
DOI: 10.48333/fagy-tb79
title: Faces in Event Streams (FES): An Annotated Face Dataset for Event Cameras

description: The dataset contains 689 minutes of recorded event streams and over 1.6 million annotated faces with bounding boxes and five point facial landmarks marked at a 30Hz rate. Event streams were recorded on Prophesee PPS3MVCD event camera with a resolution of 480×360, 30 μm pitch and FOV of 70 degrees. Dataset consists of two parts based on the controlled and uncontrolled manner of data collection and difference in number of participants, overall featuring 73 unique subjects.
DOI: 10.5281/zenodo.10250855
title: The prenatal hypoxic pathology associated with maternal stress predisposes to dysregulated expression of the chrna7 gene and the subsequent development of nicotine addiction in adult offspring (Supplementary)
DOI: 10.5281/zenodo.10250856
title: The prenatal hypoxic pathology associated with maternal stress predisposes to dysregulated expression of the chrna7 gene and the subsequent development of nicotine addiction in adult offspring (Supplementary)
DOI: 10.6084/m9.figshare.24711993
title: Table 1. Sample statistics.docx

description: A randomly selected group of people from the general public with a range of demographic characteristics and occupations were chosen to respond to the questionnaire.
DOI: 10.6084/m9.figshare.24711993.v2
title: Table 1. Sample statistics.docx

description: A randomly selected group of people from the general public with a range of demographic characteristics and occupations were chosen to respond to the questionnaire.
DOI: 10.6084/m9.figshare.24711993.v1
title: Table 1. Sample statistics.docx

description: A randomly selected group of people from the general public with a range of demographic characteristics and occupations were chosen to respond to the questionnaire.
DOI: 10.25592/uhhfdm.13839
title: Dataset for "Unlocking the potential of secondary data for public health research: A retrospective study with a novel clinical platform"

description: Raw usage data of the software "Datenhotel" as presented in "Unlocking the potential of secondary data for public health research: A retrospective study with a novel clinical platform"
DOI: 10.25592/uhhfdm.13838
title: Dataset for "Unlocking the potential of secondary data for public health research: A retrospective study with a novel clinical platform"

description: Raw usage data of the software "Datenhotel" as presented in "Unlocking the potential of secondary data for public health research: A retrospective study with a novel clinical platform"
DOI: 10.5281/zenodo.10250915
title: Public funding accountability: a linked open data-based methodology for analysing the scientific productivity and influence of funded projects. Dataset

description: Tables containing the information about the projects funded by the Spanish AEI and publications acknowledging funding from Funder Registry. Both datasets where used in our publication: Public funding accountability: a linked open data-based methodology for analysing the scientific productivity and influence of funded projects.
description: Communication to be presented on the 19th International Conference on Scientometrics and Informetrics, ISSI 2023, that it will be hosted in Bloomington (Indiana), 2-5 July.
DOI: 10.5281/zenodo.7767579
title: Public funding accountability: a linked open data-based methodology for analysing the scientific productivity and influence of funded projects. Dataset

description: Tables containing the information about the projects funded by the Spanish AEI and publications acknowledging funding from Funder Registry. Both datasets where used in our publication: <em>Public funding accountability: a linked open data-based methodology for analysing the scientific productivity and influence of funded projects</em>.
description: Communication to be presented on the 19th International Conference on Scientometrics and Informetrics, ISSI 2023, that it will be hosted in Bloomington (Indiana), 2-5 July.
DOI: 10.5281/zenodo.10250930
title: Public funding accountability: a linked open data-based methodology for analysing the scientific productivity and influence of funded projects. Dataset

description: Tables containing the information about the projects funded by the Spanish AEI and publications acknowledging funding from Funder Registry. Both datasets where used in our publication: Public funding accountability: a linked open data-based methodology for analysing the scientific productivity and influence of funded projects.
description: Communication to be presented on the 19th International Conference on Scientometrics and Informetrics, ISSI 2023, that it will be hosted in Bloomington (Indiana), 2-5 July.
DOI: 10.5281/zenodo.7767578
title: Public funding accountability: a linked open data-based methodology for analysing the scientific productivity and influence of funded projects. Dataset

description: Tables containing the information about the projects funded by the Spanish AEI and publications acknowledging funding from Funder Registry. Both datasets where used in our publication: Public funding accountability: a linked open data-based methodology for analysing the scientific productivity and influence of funded projects.
description: Communication to be presented on the 19th International Conference on Scientometrics and Informetrics, ISSI 2023, that it will be hosted in Bloomington (Indiana), 2-5 July.
DOI: 10.6084/m9.figshare.24715863.v1
title: analysis 1_do-file.do

description: Stata Do-File for replication of analysis part 1
DOI: 10.6084/m9.figshare.24715866.v1
title: dta_indi.dta

description: Stata data-set for replication of analysis part 1
DOI: 10.6084/m9.figshare.24715869
title: analysis 2_do-file.do

description: Stata Do-File for replication of analysis part 2
DOI: 10.6084/m9.figshare.24715869.v1
title: analysis 2_do-file.do

description: Stata Do-File for replication of analysis part 2
DOI: 10.6084/m9.figshare.24715872
title: dta_analysis2.dta

description: Stata data-set for replication of analysis part 2
DOI: 10.6084/m9.figshare.24715872.v1
title: dta_analysis2.dta

description: Stata data-set for replication of analysis part 2
DOI: 10.6084/m9.figshare.24715863
title: analysis 1_do-file.do

description: Stata Do-File for replication of analysis part 1
DOI: 10.6084/m9.figshare.24715866
title: dta_indi.dta

description: Stata data-set for replication of analysis part 1
DOI: 10.6084/m9.figshare.24679908
title: Analyzing the Impact Of COVID.xlsx

description: The study was carried out in Mussoorie, also known as "The Queen of Hills," the most famous tourist destination in India, to see whether or not visitors were still looking for adequate safety precautions to reduce the risk of the pandemic. As per the study's findings, customers are most satisfied with hotels that prioritize cleanliness and hygiene, and they also indicated that they intend to stay there again on their subsequent trips. Study also found that tourists are eager to visit domestic locations as long as the appropriate safety and sanitary standards are met by both the public sector and private property owners.
DOI: 10.34740/kaggle/dsv/7104978
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.34740/kaggle/dsv/7104984
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.24715893
title: Across Transcripts Analysis.docx

description: This is an across transcripts analysis of the data used in the manuscript "Exploring clinical psychologists' experiences of providing couple therapy in Cape Town, South Africa.
DOI: 10.6084/m9.figshare.24715893.v1
title: Across Transcripts Analysis.docx

description: This is an across transcripts analysis of the data used in the manuscript "Exploring clinical psychologists' experiences of providing couple therapy in Cape Town, South Africa.
DOI: 10.34740/kaggle/dsv/7105171
title: EEG-Tumour
DOI: 10.6084/m9.figshare.23796105
title: DATASET - Impact of variable fault geometries and slip rates on earthquake catalogues from physics-based simulations of a normal fault

description: This dataset contains input and output files for the RSQSim earthquake simulations performed in this study: Delogkos, E., Howell, A., Seebeck, H., Shaw, B., Nicol, A., Liao, M. Y.-W., Walsh, J.J. (2023) <i>Impact of variable fault geometries and slip rates on earthquake catalogues from physics-based simulations of a normal fault</i>, Journal of Geophysical Research: Solid Earth, doi: https://doi.org/10.1029/2023JB026746.
DOI: 10.6084/m9.figshare.23796105.v1
title: DATASET - Impact of variable fault geometries and slip rates on earthquake catalogues from physics-based simulations of a normal fault

description: This dataset contains input and output files for the RSQSim earthquake simulations performed in this study: Delogkos, E., Howell, A., Seebeck, H., Shaw, B., Nicol, A., Liao, M. Y.-W., Walsh, J.J. (2023) <i>Impact of variable fault geometries and slip rates on earthquake catalogues from physics-based simulations of a normal fault</i>, Journal of Geophysical Research: Solid Earth, doi: https://doi.org/10.1029/2023JB026746.
DOI: 10.34740/kaggle/dsv/7105279
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/7105294
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.10245152
title: Assets for "Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice shelf from Isochronal Layers"

description: Experimental data reported in "Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice shelf from Isochronal Layers".
Contains processed simulation data for both synthetic and Ekström Ice Shelf experiments. Selected best layers for each Internal Radar Horizons in the respective simulated datasets are contained in "all_layers_final.p", and the respective mass balance parameters for those simulations in "all_mbs_final.p".
Trained Neural Posterior Estimator (NPE) models for each IRH are found in "inference.p" files, and posterior predictive simulations in "post_predictive.p" files for each posterior respectively. Code to visualise and plot this data is found in https://github.com/mackelab/sbi-ice.
DOI: 10.5281/zenodo.10245153
title: Assets for "Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice shelf from Isochronal Layers"

description: Experimental data reported in "Simulation-Based Inference of Surface Accumulation and Basal Melt Rates of an Antarctic Ice shelf from Isochronal Layers".
Contains processed simulation data for both synthetic and Ekström Ice Shelf experiments. Selected best layers for each Internal Radar Horizons in the respective simulated datasets are contained in "all_layers_final.p", and the respective mass balance parameters for those simulations in "all_mbs_final.p".
Trained Neural Posterior Estimator (NPE) models for each IRH are found in "inference.p" files, and posterior predictive simulations in "post_predictive.p" files for each posterior respectively. Code to visualise and plot this data is found in https://github.com/mackelab/sbi-ice.
DOI: 10.5281/zenodo.10251131
title: 热射病患者血小板计数变化
DOI: 10.5281/zenodo.10251132
title: 热射病患者血小板计数变化
DOI: 10.3886/e195501
title: Do High House Prices Promote the Development of China's Real Economy? Empirical Evidence Based on the Decomposition of Real Estate Price

description: The samples in this paper come from panel data of 35 large and medium-sized cities in China from 1999 to 2019(In order to avoid the impact of the COVID-19 Pandemic on the conclusions of this analysis, we use the data before the outbreak of the epidemic for empirical testing). Here, the variables adopted for assessing the housing bubble include price level, resident income, household population, the average wage of staff and land supply. Apart from the housing bubble index which is obtained via assessment, all the other basic data come from official statistics, including the Wind Economic Database, website of the People’s Bank of China, and National Bureau of Statistics website.
description: Data on China's Macroeconomics and Real Estate Market.
DOI: 10.3886/e195501v1
title: Do High House Prices Promote the Development of China's Real Economy? Empirical Evidence Based on the Decomposition of Real Estate Price

description: The samples in this paper come from panel data of 35 large and medium-sized cities in China from 1999 to 2019(In order to avoid the impact of the COVID-19 Pandemic on the conclusions of this analysis, we use the data before the outbreak of the epidemic for empirical testing). Here, the variables adopted for assessing the housing bubble include price level, resident income, household population, the average wage of staff and land supply. Apart from the housing bubble index which is obtained via assessment, all the other basic data come from official statistics, including the Wind Economic Database, website of the People’s Bank of China, and National Bureau of Statistics website.
description: Data on China's Macroeconomics and Real Estate Market.
DOI: 10.5281/zenodo.10207730
title: Underlying dataset for battery pack degradation - Understanding aging in parallel-connected lithium-ion batteries under thermal gradients

description: This record constitutes the raw data underlying the paper "Battery pack degradation - Understanding aging in parallel-connected lithium-ion batteries under thermal gradients" (preprint link)
The dataset contains all raw data, processed data and analysis codes used to generate figures in the publication. Abstract is as follows:

Practical lithium-ion battery systems require parallelisation of tens to hundreds of cells, however understanding of how pack-level thermal gradients influence lifetime performance  remains a research gap. Here we present an experimental study of surface cooled parallel-string battery packs (temperature range 20-45 °C), and identify two main operational modes; convergent degradation with homogeneous temperatures, and (the more detrimental) divergent degradation driven by thermal gradients. We attribute the divergent case to the, often overlooked, cathode impedance growth. This was negatively correlated with temperature and can cause positive feedback where the impedance of cells in parallel diverge over time; increasing heterogeneous current and state-of-charge distributions. These conclusions are supported by current distribution measurements, decoupled impedance measurements and degradation mode analysis. From this, mechanistic explanations are proposed, alongside a publicly available aging dataset, which highlights the critical role of capturing cathode degradation in parallel-connected batteries; a key insight for battery pack developers.
DOI: 10.5281/zenodo.10207731
title: Underlying dataset for battery pack degradation - Understanding aging in parallel-connected lithium-ion batteries under thermal gradients

description: This record constitutes the raw data underlying the paper "Battery pack degradation - Understanding aging in parallel-connected lithium-ion batteries under thermal gradients" (preprint link)
The dataset contains all raw data, processed data and analysis codes used to generate figures in the publication. Abstract is as follows:

Practical lithium-ion battery systems require parallelisation of tens to hundreds of cells, however understanding of how pack-level thermal gradients influence lifetime performance  remains a research gap. Here we present an experimental study of surface cooled parallel-string battery packs (temperature range 20-45 °C), and identify two main operational modes; convergent degradation with homogeneous temperatures, and (the more detrimental) divergent degradation driven by thermal gradients. We attribute the divergent case to the, often overlooked, cathode impedance growth. This was negatively correlated with temperature and can cause positive feedback where the impedance of cells in parallel diverge over time; increasing heterogeneous current and state-of-charge distributions. These conclusions are supported by current distribution measurements, decoupled impedance measurements and degradation mode analysis. From this, mechanistic explanations are proposed, alongside a publicly available aging dataset, which highlights the critical role of capturing cathode degradation in parallel-connected batteries; a key insight for battery pack developers.
DOI: 10.15139/s3/pv9rqy
title: Smyth_and_Jaspers_Diesel_Exhaust_Particle_Induced_hMDM_Reprogramming_Supplemental_Information

description: Supplemental tables, figures, R code, and input data associated with the manuscript "Particulate Exposure Induces Polarization-State Dependent Functional and Transcriptional Changes in Monocyte-Derived Macrophages" by Smyth and Jaspers.
DOI: 10.34740/kaggle/dsv/7105647
title: COVID Vaccination in World (updated daily)
DOI: 10.34740/kaggle/dsv/7105651
title: Global News Dataset
DOI: 10.6084/m9.figshare.22284688
title: A comparison of photographic and spectrometric methods to quantify the colors seen by animal eyes

description: This is the complete data set and MATLAB code used in the paper entitled "A comparison of photographic and spectrometric methods to quantify the colors seen by animal eyes" by Cynthia Tedore, published in <i>Methods in Ecology and Evolution</i>.