cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8140855
title: Antarctic toothfish recruitment - interannual variability (part 2)

description: This datasets contain necessary data to reproduce results of the related peer review publication on interannual recruitment variability of Antarctic Toothfish in the Ross Gyre. ('Tropical teleconnections through the Amundsen Sea Low impact Antarctic toothfish recruitment within the Ross Gyre') The dataset (Part2) contains: 1. Model and Reanalysis data: (annual means for July-Dec) ice_fields_1970_2019_JULY_DEC.nc.gz <br> sea_ice_conce_1970_2021_JULY_DEC_detrend.nc.gz <br> tas_1970_2021_JULY_DEC.nc.gz <br> wind_speed_1970_2019_JULY_DEC.nc.gz contains annual means (sea-ice velocity, concentration, surface air temperature and wind speed) for July to December, 2. Trajectory data for particles for the secondary mode, seeded over the northern-eastern Ross Gyre. trajectory_files_secondary_????.nc.gz (for individual years)
DOI: 10.3886/e118165v1-140124
title: Data and Code for "Patronage and Selection in Public Sector Organizations"

description: In all modern bureaucracies, politicians retain some discretion in public employment decisions, which may lead to frictions in the selection process if political connections substitute for individual competence. Relying on detailed matched employer-employee data on the universe of public employees in Brazil over 1997-2014, and on a regression discontinuity design in close electoral races, we establish three main findings. First, political connections are a key and quantitatively large determinant of employment in public organizations, for both bureaucrats and frontline providers. Second, patronage is an important mechanism behind this result. Third, political considerations lead to the selection of less competent individuals.
description: Local candidates and donors in municipal elections in Brazil.
DOI: 10.14279/depositonce-17868
title: Supplementary measurement values and processed images to: Visualization, measurement, and modelling of adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel

description: This research data was obtained and analyzed as part of a research project on adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel. The following Creative Commons license applies to the research data (images and measurement values): CC-BY 4.0 Author: Susanne Buscher This data set contains all measurement values and calculated results of all measurement points in the Excel and CSV files (e.g. pressure drop, volumetric flow rates, void fraction, measurement uncertainties). In addition, the numeric results of the image processing algorithm are included in the Excel and CSV files (e.g. mean bubble diameter, maximum bubble diameter, local film flow ratio, extent of the two-phase distribution across the channel width, measurement uncertainties). The image folders contain the pre-processed images which were the input to the digital image analysis (i.e. the aligned and cropped image section, after subtraction of the image background), and the post-processed images visualizing the output of the image analysis (i.e. detected objects are inserted as colored regions). The measurement values and the image folders are subdivided into measurements with uniform and non-uniform gas injection and designated with the numbers of the measurement points, which are listed in the Excel and CSV files. The original photographs made during the measurements and used for image processing are given in: uniform gas injection, part 1: https://doi.org/10.5281/zenodo.7985771; uniform gas injection, part 2: https://doi.org/10.5281/zenodo.7986374; uniform gas injection, part 3: https://doi.org/10.5281/zenodo.7986384; non-uniform gas injection (part 4): https://doi.org/10.5281/zenodo.8067163 The research data supplements the following publications: S. Buscher, 2023, Visualization, measurement, and modelling of adiabatic gas-liquid flow in a cross-corrugated plate heat exchanger channel, Doctoral thesis, Technische Universität Berlin, https://doi.org/10.14279/depositonce-17866. S. Buscher, 2019, Visualization and modelling of flow pattern transitions in a cross-corrugated plate heat exchanger channel with uniform two-phase distribution, International Journal of Heat and Mass Transfer 144, 118643, https://doi.org/10.1016/j.ijheatmasstransfer.2019.118643. S. Buscher, 2021, Two-phase pressure drop and void fraction in a cross-corrugated plate heat exchanger channel: Impact of flow direction and gas-liquid distribution, Experimental Thermal and Fluid Science 126, 110380, https://doi.org/10.1016/j.expthermflusci.2021.110380. S. Buscher, 2022, Digital image analysis of gas-liquid flow in a cross-corrugated plate heat exchanger channel: A feature-based approach on various two-phase flow patterns, International Journal of Multiphase Flow 154, 104149, https://doi.org/10.1016/j.ijmultiphaseflow.2022.104149.
DOI: 10.6084/m9.figshare.23671542
title: Crop pest and disease used in this project

description: The crop pest and diseases survey(CPD) data is a published dataset of aggregated CPD occurrence ratio at the province level of the period from 1980 to 2017. CPD records of National Agricultural Technology Extension and Service Center. This dataset is based on the survey data originating from a bottom-up crop protection network that takes responsibility of surveying the CPD condition and recording the occurrence of CPD. Notably, crop protection only recorded those species of CPD that lead to yield reduction or failure.
DOI: 10.34740/kaggle/dsv/6125749
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5281/zenodo.8140936
title: Supplement to zenodo doi 10.5281/zenodo.8122347 Data Archive for the NASA DAILI CubeSatMission:NASA Award Number: 80NSSC18K0973

description: In the zenodo archive 10.5281/zenodo.8122347 the idl save sets include an array, raw_image, that had no actual data. The save-sets here fill that array with the actual data. These images are the actual images obtained with each DAILI exposure. In the original DAILI archive the portions of each exposure needed for retrieval of the science parameters were correctly included. Hence, the arrays here are just for completeness although they do document the dark counts between the regions where light is admitted.
DOI: 10.5281/zenodo.8140935
title: Supplement to zenodo doi 10.5281/zenodo.8122347 Data Archive for the NASA DAILI CubeSatMission:NASA Award Number: 80NSSC18K0973

description: In the zenodo archive 10.5281/zenodo.8122347 the idl save sets include an array, raw_image, that had no actual data. The save-sets here fill that array with the actual data. These images are the actual images obtained with each DAILI exposure. In the original DAILI archive the portions of each exposure needed for retrieval of the science parameters were correctly included. Hence, the arrays here are just for completeness although they do document the dark counts between the regions where light is admitted.
DOI: 10.3886/e192708
title: Replication Package: A Unifying Approach To Measuring Climate Change Impacts and Adaptation

description: Replication package for all analysis completed for the research article: A Unifying Approach to Measuring Climate Change Impacts and Adaptation<br>
DOI: 10.3886/e192708v1
title: Replication Package: A Unifying Approach To Measuring Climate Change Impacts and Adaptation

description: Replication package for all analysis completed for the research article: A Unifying Approach to Measuring Climate Change Impacts and Adaptation<br>
DOI: 10.6084/m9.figshare.19838470
title: The Heath Gym Synthetic HIV Dataset

description: ###===###<br> IMPORTANT NOTE:<br> Dear viewers, please consider Version 2.0 of our synthetic ART for HIV dataset. Kuo, Nicholas (2023). The Health Gym v2.0 Synthetic Antiretroviral Therapy (ART) for HIV Dataset. figshare. Dataset. https://doi.org/10.6084/m9.figshare.22827878.v1 The latest version is much more realistic than this current version, <br> especially regarding class imbalanceness and utility for training RL algorithms.<br> Interested viewers may also refer to our preprint for further details. Kuo, Nicholas I., Louisa Jorm, and Sebastiano Barbieri. "Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV." arXiv preprint arXiv:2208.08655 (2022). <br> ###===###<br> This dataset was generated using the Health Gym generative adversarial network (GAN).<br> <br> The dataset contains viral loads, CD4 counts, and drug regimen information for 8,916 patients with HIV. The dataset is stored in CSV format.<br> <br> Please consult our archived paper for more details:<br> Kuo et al. (2022).<br> The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms. <em>arXiv preprint arXiv:2203.06369</em>. <br> <br> ###===###<br> 1) Refer to page 3 for the full description of the dataset.<br> 2) Refer to page 13 for the descriptive statistics.<br> 3) Refer to pages 25-28 for the quality assessment.<br> 4) Refer to page 9 for the patient re-identification risk.<br> 5) Refer to pages 4, 5, and 14 on our novel generative adversarial network for generting this synthetic dataset.<br> 6) Also refer to our website: www.healthgym.ai for an overview of the project.<br> <br> ###===###<br> Edited: 12th-July-2023 <br> Date of 2-edits ago: 24th-May-2022
DOI: 10.6084/m9.figshare.19544410
title: The Heath Gym Synthetic HIV Dataset

description: ###===###<br> IMPORTANT NOTE:<br> Dear viewers, please consider Version 2.0 of our synthetic ART for HIV dataset. Kuo, Nicholas (2023). The Health Gym v2.0 Synthetic Antiretroviral Therapy (ART) for HIV Dataset. figshare. Dataset. https://doi.org/10.6084/m9.figshare.22827878.v1 The latest version is much more realistic than this current version.<br> Interested viewers may also refer to our preprint for further details. Kuo, Nicholas I., Louisa Jorm, and Sebastiano Barbieri. "Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV." arXiv preprint arXiv:2208.08655 (2022). ###===###<br> This dataset was generated using the Health Gym generative adversarial network (GAN).<br> The dataset contains viral loads, CD4 counts, and drug regimen information for 8,916 patients with HIV. The dataset is stored in CSV format. Please consult our archived paper for more details:<br> Kuo et al. (2022).<br> The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms. <em>arXiv preprint arXiv:2203.06369</em>. ###===###<br> 1) Refer to page 3 for the full description of the dataset.<br> 2) Refer to page 13 for the descriptive statistics.<br> 3) Refer to pages 25-28 for the quality assessment.<br> 4) Refer to page 9 for the patient re-identification risk.<br> 5) Refer to pages 4, 5, and 14 on our novel generative adversarial network for generting this synthetic dataset.<br> 6) Also refer to our website: www.healthgym.ai for an overview of the project.<br> ###===###<br> Edited: 12th-July-2023<br> Date of 2-edits ago: 8th-April-2022
DOI: 10.5281/zenodo.8140910
title: Dataset for "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique"

description: This is the dataset used in a research paper "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique". The content is Augmented images used in the U-Net training (aug_images.zip) train/*.png: augmented original images (14,219 files) train_masks/*.png: augmented hand-masked images (14,219 files). Note that original images include images obtained using <em>google-image-download</em>, a Python script published on GitHub (https://github.com/Joeclinton1/google-images-download/tree/patch-1, Copyright © 2015-2019 Hardik Vasa). The whole images we obtained by <em>google-image-download</em> were labeled as noncommercial reuse with modification. For more details, please refer to a research paper "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique". Correspondence: Rina Noguchi (r-noguchi@env.sc.niigata-u.ac.jp)
DOI: 10.5281/zenodo.8140909
title: Dataset for "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique"

description: This is the dataset used in a research paper "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique". The content is Augmented images used in the U-Net training (aug_images.zip) train/*.png: augmented original images (14,219 files) train_masks/*.png: augmented hand-masked images (14,219 files). Note that original images include images obtained using <em>google-image-download</em>, a Python script published on GitHub (https://github.com/Joeclinton1/google-images-download/tree/patch-1, Copyright © 2015-2019 Hardik Vasa). The whole images we obtained by <em>google-image-download</em> were labeled as noncommercial reuse with modification. For more details, please refer to a research paper "Extraction of stratigraphic exposures on visible images using a supervised machine learning technique". Correspondence: Rina Noguchi (r-noguchi@env.sc.niigata-u.ac.jp)
DOI: 10.5517/ccdc.csd.cc28m2mm
title: CCDC 2103710: Experimental Crystal Structure Determination

description: Related Article: Kentaro Yonesato, Daiki Yanai, Seiji Yamazoe, Daisuke Yokogawa, Takashi Kikuchi, Kazuya Yamaguchi, Kosuke Suzuki|2023|Nature Chemistry|15|940|doi:10.1038/s41557-023-01234-w
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: 10.5517/ccdc.csd.cc28m2nn
title: CCDC 2103711: Experimental Crystal Structure Determination

description: Related Article: Kentaro Yonesato, Daiki Yanai, Seiji Yamazoe, Daisuke Yokogawa, Takashi Kikuchi, Kazuya Yamaguchi, Kosuke Suzuki|2023|Nature Chemistry|15|940|doi:10.1038/s41557-023-01234-w
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: 10.25493/56em-75h
title: Julich-Brain Atlas, cytoarchitectonic maps (v3.0.3)

description: This dataset contains the Julich-Brain Atlas, Cytoarchitectonic maps in different coordinate spaces. The parcellation provided by the Atlas is derived from the individually released probability maps (PMs) of cytoarchitectonically defined cortical and subcortical brain regions. For the whole-brain parcellation, the available PMs are combined into a maximum probability map (MPM) by considering for each voxel the probability of all cytoarchitectonic brain regions, and determining the most probable assignment. In later versions of this dataset, gap maps complement the maximum probability map of the cytoarchitectonically defined brain regions to achieve full cortical coverage. There are two sets of PMs with a different degree of parcellation included. The set with 157 PMs corresponds to the usual granularity of the Julich-Brain Atlas. This set was used for the calculation of the MPM. Furthermore, a set with 175 PMs is included. This dataset contains, for some regions, more detailed cytoarchitectonic parcellations. For technical reasons, this finer parcellation is only representable via individual PMs due to the spatial resolution of the reference space, i.e., the MPM for the set of 175 PMs is not available. In addition, a set of cortical areas of the MPM is available on the FreeSurfer fsaverage surface. Note that methodological improvements and integration of new brain structures may lead to small deviations in the parcellation between released versions of this dataset.
DOI: 10.25493/6h8d-4tc
title: Combined analysis of cytoarchitectonic, molecular and transcriptomic patterns reveal differences in brain organization across human functional brain systems (v1.0)

description: Brain areas show specific cellular, molecular, and gene expression patterns that are linked to function, but their precise relationships are largely unknown. To unravel these structure-function relationships, a combined analysis of 53 neurotransmitter receptor genes, receptor densities of six transmitter systems and cytoarchitectonic data of the auditory, somatosensory, visual, motor systems was conducted. Besides covariation of areal gene expression with receptor density, the study reveals specific gene expression patterns in functional systems, which are most prominent for the inhibitory GABAA and excitatory glutamatergic NMDA receptors. Furthermore, gene expression-receptor relationships changed in a systematic manner according to information flow from primary to higher associative areas. The findings shed new light on the relationship of anatomical, functional, and molecular and transcriptomic principles of cortical segregation towards a more comprehensive understanding of human brain organization.
DOI: 10.25493/x4td-9pn
title: Contrast maps obtained from Individual Brain Charting (v2.0)

description: This contains contrast maps that are the main product of the IBC dataset, and represent brain responses for key conditions of interest. These conditions are the main conditions studied in the tasks performed in IBC dataset. Contrast maps are delivered per subject.
DOI: 10.34740/kaggle/dsv/6125825
title: Pypi sython pandaerror handling
DOI: 10.3886/e192709
title: Care pathways of individuals with tuberculosis before and during the COVID-19 pandemic in Bandung, Indonesia

description: The COVID-19 pandemic is thought to have undone years’ worth of progress in the fight against tuberculosis (TB). For instance, in Indonesia, a high TB burden country, TB case notifications decreased by 14% and treatment coverage decreased by 47% during COVID-19. We sought to better understand the impact of COVID-19 on TB case detection using two cross-sectional surveys conducted before (2018) and after the onset of the pandemic (2021). These surveys allowed us to quantify the delays that individuals with TB who eventually received treatment at private providers faced while trying to access care for their illness, their journey to obtain a diagnosis, the encounters individuals had with healthcare providers before a TB diagnosis, and the factors associated with patient delay and the total number of provider encounters. We found some worsening of care seeking pathways on multiple dimensions. Median patient delay increased from 28 days (IQR: 10, 31) to 32 days (IQR: 14, 90) and the median number of encounters increased from 5 (IQR: 4, 8) to 7 (IQR: 5, 10), but doctor and treatment delays remained relatively unchanged. Employed individuals experienced shorter delays compared to unemployed individuals (adjusted medians: -20.13, CI -39.14, -1.12) while individuals whose initial consult was in the private hospitals experienced less encounters compared to those visiting public providers, private primary care providers, and informal providers (-4.29 encounters, CI -6.76, -1.81). Patients who visited the healthcare providers for &gt;6 times experienced longer doctortotal delay compared to those with less number ofthan 6 visits (adjusted medians: 36.68,59.40, 95% CI 24.10, 49.25: 35.04, 83.77). Our findings suggest the need to ramp up awareness programs to reduce patient delay and and strengthen private provide engagement in the country, particularly in the primary care sector.
description: The researchers used hierarchical sampling, starting from sub-districts of Bandung. Bandung contains 151 sub-districts, from which 30 were randomly selected using probability proportional to size sampling for both INSTEP and COVET. <br>
description: face-to-face interview; paper and pencil interview (PAPI);
DOI: 10.3886/e192709v1
title: Care pathways of individuals with tuberculosis before and during the COVID-19 pandemic in Bandung, Indonesia

description: The COVID-19 pandemic is thought to have undone years’ worth of progress in the fight against tuberculosis (TB). For instance, in Indonesia, a high TB burden country, TB case notifications decreased by 14% and treatment coverage decreased by 47% during COVID-19. We sought to better understand the impact of COVID-19 on TB case detection using two cross-sectional surveys conducted before (2018) and after the onset of the pandemic (2021). These surveys allowed us to quantify the delays that individuals with TB who eventually received treatment at private providers faced while trying to access care for their illness, their journey to obtain a diagnosis, the encounters individuals had with healthcare providers before a TB diagnosis, and the factors associated with patient delay and the total number of provider encounters. We found some worsening of care seeking pathways on multiple dimensions. Median patient delay increased from 28 days (IQR: 10, 31) to 32 days (IQR: 14, 90) and the median number of encounters increased from 5 (IQR: 4, 8) to 7 (IQR: 5, 10), but doctor and treatment delays remained relatively unchanged. Employed individuals experienced shorter delays compared to unemployed individuals (adjusted medians: -20.13, CI -39.14, -1.12) while individuals whose initial consult was in the private hospitals experienced less encounters compared to those visiting public providers, private primary care providers, and informal providers (-4.29 encounters, CI -6.76, -1.81). Patients who visited the healthcare providers for &gt;6 times experienced longer doctortotal delay compared to those with less number ofthan 6 visits (adjusted medians: 36.68,59.40, 95% CI 24.10, 49.25: 35.04, 83.77). Our findings suggest the need to ramp up awareness programs to reduce patient delay and and strengthen private provide engagement in the country, particularly in the primary care sector.
description: The researchers used hierarchical sampling, starting from sub-districts of Bandung. Bandung contains 151 sub-districts, from which 30 were randomly selected using probability proportional to size sampling for both INSTEP and COVET. <br>
description: face-to-face interview; paper and pencil interview (PAPI);
DOI: 10.21227/d0z6-q125
title: Data and Scripts for A Climate Resilience Assessment of A Rail Transport System 

description: This upload contains the data and scripts used for a research paper in preparation for publication. The paper presents a probabilistic resilience assessment framework where failure scenarios and network disruptions are generated using weather profile data from climate prediction models with component-level fragility functions. A case study is then carried out to quantify the resilience of Great Britain’s railway passenger transport system to high-temperature-related track buckling under the Representative Concentration Pathway 8.5 (RCP8.5) climate change scenario. A 95-year horizon on the resilience of the railway system is drawn. The results reveal the non-linear responses of the railway system to the increasing temperature and show that models considering random asset failures overestimate the system’s resilience.