cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13026/wv01-y230
title: Chest ImaGenome Dataset

description: In recent years, with the release of multiple large datasets, automatic
interpretation of chest X-ray (CXR) images with deep learning models have
become feasible for specific abnormalities or for generating preliminary
reports. However, despite reports of performance reaching similar levels to
that of radiologists, a quantitative evaluation of the explainability of these
models is hampered by the lack of locally labeled datasets for different
findings. With the exception of a few human-labeled small-scale datasets for
specific findings, such as pneumonia and pneumothorax, most of the CXR deep
learning models to date are trained on global "weak" labels extracted from
text reports, or trained via a joint image and unstructured text learning
strategy. In our work, a joint rule-based natural language processing (NLP)
and CXR atlas-based bounding box detection pipeline are used to automatically
label 242072 frontal MIMIC CXRs locally. Inspired by the Visual Genome effort
in the computer vision community [20], we constructed the first Chest
ImaGenome dataset with a scene graph data structure to describe the data.
Through a radiologist constructed CXR ontology, the annotations for each CXR
are connected as an anatomy-centered scene graph, useful for image-level
reasoning and multimodal fusion applications. Overall, our dataset contributes
significantly to the research community by providing 1) 1,256 combinations of
relation annotations between 29 CXR anatomical locations (objects with
bounding box coordinates) and their attributes, structured as a scene graph
per image, 2) over 670,000 localized comparison relations (for improved,
worsened, or no change) between the anatomical locations across sequential
exams, as well as 3) a manually annotated gold standard scene graph dataset
from 500 unique patients.
DOI: 10.15468/tfpnkp
title: Zoologische Staatssammlung Muenchen - International Barcode of Life (iBOL) - Barcode of Life Project Specimen Data
DOI: 10.17632/6p8986csy3.2
title: Dissolved Methane concetrations and its stable carbon isotope ratios in deep seawaters along the Eastern Southwest Indian Ridge, 63.5°-68° E

description: The methane concentration and its stable carbon isotope ratios of seawater samples collected from the eastern Southwest Indian Ridge
DOI: 10.17632/fdhyjjypbd.1
title: DermPK

description: The DermAH dataset contains 157 dermoscopic pictures. These images were gathered from the Multan Institute of Nuclear Medicine and Radiotherapy (MINAR) Pakistan. These images are collected for the research purpose only. All these images are verified by the doctors. Moreover, patient data privacy is also considered during this collection. This dataset includes images from the following classes of skin cancer: Melanoma, Basal cell carcinoma, squamous cell carcinoma, benign keratosis, melanotic navi, and unknown. Classes No of images Melanoma 30 Melanocytic Nevus 35 Basal Cell Carcinoma 40 Squamous Cell Carcinoma 29 Benign Keratosis 15 Unknown 08
DOI: 10.17632/nvfjt4jk2n.1
title: Supplementary material for the study Validity based on internal structure, convergent validity and reliability of the Emotional Dependency Inventory (IDE) in young adults

description: This material contains the database used in the study as well as the content of the items of the test used to measure the emotional dependency of the couple, within the framework of the study "Validity based on internal structure, convergent validity and reliability of the Emotional Dependency Inventory (IDE) in young adults"
DOI: 10.17909/bbzp-t333
title: Photometric Analysis of the Cataclysmic Variable Star LT Eri

description: The TESS data with 120-second exposure from sector 32 for LT Eri were utilized in the paper titled "Photometric Analysis of the Cataclysmic Variable Star LT Eri".
DOI: 10.17909/ys1r-b952
title: NIRISS/SOSS observations of TRAPPIST-1c
DOI: 10.17909/z8rb-ns85
title: WR140 MIRI IMAGES

description: Both Cycle 1 and Cycle 2 MIRI images in 7.7, 15, and 21 micron filters.
DOI: 10.18126/m2z30z
title: Dataset of Synthetic X-ray Scattering Images for Classification Using Deep Learning

description: This dataset contains a large number of example x-ray scattering images; each image is tagged with a variety of attributes describing the data features appearing in the image ('rings', 'anisotropic', etc.) or describing the underlying material ('BCC', 'FCC', etc.). The main purpose of this dataset is as a training set for machine-learning methods. The images were generated synthetically, using a combination of ad hoc methods (e.g. superimposing features such as rings and halos) and simple simulations (e.g. generating realspace arrangements of nanoparticles, and then computing the far-field scattering pattern). The presented code iterates across a wide variety of input conditions, such that the output images cover a wide range of expected x-ray scattering image types. Experimentally-realistic artifacts, including masks, parasitic streaks, and Poisson noise, are also included.
DOI: 10.18430/m35vp5
title: X-ray diffraction data for the crystal structure of a 3-oxoacyl-acyl-carrier protein reductase FabG4 from Mycobacterium smegmatis bound to NAD (5VP5)
DOI: 10.26022/ieda/112016
title: Global published compositions of high-density fluids (HDFs) in fibrous diamonds.

description: For this review paper, we compiled major element, trace element, and radiogenic isotope compositions of HDFs in fibrous diamonds from available literature data.
DOI: 10.4225/87/6bw27v
title: Longitudinal Surveys of Australian Youth, 2009 cohort (Version 9.0)

description: In 2009 a nationally representative sample of about 14,000 15-year-old students was selected to participate in the OECD's Programme for International Student Assessment (PISA). This group of young people became the fifth cohort of the LSAY program (LSAY Y09). As part of PISA, assessments in mathematical literacy, reading literacy and scientific literacy were administered in schools to provide information on student achievement. Students also completed a background questionnaire about themselves, their families, their reading activities, their English lessons, libraries, strategies in reading and understanding texts, familiarity with computers, educational and vocational plans, attitudes to school and learning, work experience, workplace learning, and part-time work. In 2010, members of the Y09 cohort were contacted for the first of their annual LSAY telephone interviews. The questionnaire for their 2010 interview included questions on school, transitions from school, post-school education and training, work, job history, job search activities, health, living arrangements, finance and general attitudes. Subsequent surveys asked similar questions, but with the emphasis changing from school to post-school education, training and work, depending on the young person's circumstances. Since 2012, respondents were given the option to complete their interviews online.
DOI: 10.5067/yttho2fjq97k
title: Near-Real-Time DMSP SSMIS Daily Polar Gridded Sea Ice Concentrations, Version 2
DOI: 10.5255/ukda-sn-857351
title: Healthcare Professionals’ Experiences of Caring for Women With False-Positive Screening Test Results in the National Health Service Breast Screening Programme, 2020

description: The 20 data files in this deposit report the detailed procedure of conducting the (template) analysis of qualitative interview data, while protecting the highly identifiable participant data (the 'raw' data), which are stored in a non-public archive and only available to the study team. The data files therefore describe the evolution of all codes, themes, subthemes, and every template version during data analysis. The resulting data analysis files provide a clear and richly detailed audit trail of analysis development.

The study protocol is available via the Open Science Framework (https://osf.io/qwy2x/).
DOI: 10.5281/zenodo.10910579
title: IXS spectrum at different Pressure

description: Here is displayed the inelastic x-ray spectrum for different momentum transfers (Q) values at 65.0 GPa, 72.2 GPa, and 79.6 GPa.
DOI: 10.5281/zenodo.10989959
title: Namelists
DOI: 10.5281/zenodo.12799897
title: Deformed Wing Virus interacts with host's arginine kinase to enhance viral replication in honey bees

description: Dataset used to plot the figures presented in the manuscript "Deformed Wing Virus interacts with host’s arginine kinase to enhance viral replication in honey bees".

 

Abstract

Deformed wing virus (DWV) is a major bee pathogen that is actively transmitted by the parasitic mite Varroa destructor and plays a primary role in winter Apis mellifera colony losses. Despite intense investigation of this essential pollinator species, driven by its unique environmental and economic importance, the mechanisms underlying the molecular interactions between DWV and honey bees are still poorly understood. Here we report on a group of honey bee proteins, identified by mass spectrometry, that specifically co-immunoprecipitate with DWV virus particles. Most of the proteins identified are involved in fundamental metabolic pathways. Here we focused on Arginine kinase (ArgK), a conserved protein playing multiple roles both in physiological and pathological processes. We found that ArgK RNA levels positively correlate with DWV load in field-collected honey-bee larvae and adults and significantly increase in larvae and adults upon DWV injection in controlled laboratory conditions, indicating that the ArgK gene was upregulated by DWV infection. Silencing ArgK gene expression in vitro, using RNAi, resulted in reduced DWV viral load, thus demonstrating that ArgK function promotes the progression of DWV infection, likely altering the delicate balance between metabolism and immunity.  In summary, these data indicate that successful DWV infection relies on transcriptional regulation and active recruitment of host ArgK by this viral pathogen. Therefore, our findings open novel perspectives on the potential control of DWV pathogenicity by targeting its interaction with specific host proteins.
DOI: 10.5281/zenodo.13350894
title: Data for "Parallel-Field Hall effect in ZrTe5"

description: Here we upload the raw data for the manuscript entitled “Parallel-Field Hall effect in ZrTe5”
DOI: 10.5281/zenodo.13710838
title: Self-organizing map of electron-impact mass-spectra

description: This text file is a self-organising map (256 x 256 grid units) of mass spectra.

The mass spectra are stored as a continuous list. In the file, consecutive sets of 256 rows in the file are one row of the map (each row has 256 grid units). After every 256th row in the file, a new map row begins (256 rows in total).

The mass spectra are electron-impact mass-spectra, as they are typically recorded in gas chromatography. The resolution is unit mass, the spectral range is limited to 29 - 200 m/z, and the spectral intensities are normalized.

The mass spectra were collected from the Mass Bank of North America (MassBank of North America. https://mona.fiehnlab.ucdavis.edu/ (accessed 2018-07-05)) and are used under a CC-BY 4.0 license.
DOI: 10.5281/zenodo.13742090
title: CARPE Database of Empirical Research on Assessment for the Leaving Certificate in Ireland (May 2024)

description: This is the download site for the CARPE Database of Empirical Research on Leaving Certificate Assessment in Ireland (May 2024). We hope that this database will act as a guide and resource for any future research regarding the Leaving Certificate and the assessment methods used therein. If you do use this database as a reference or tool, please cite it as:

Lehane, P., O'Connor, G. & O'Leary, M. (2024). CARPE Database of Empirical Research on Leaving Certificate Assessment in Ireland [Database]. Dublin City University. 

We realise that there are current and future studies that should be included in this database now and in the years to come. We intend on updating this database on an annual basis with missing or new studies. If you wish to suggest an empirical study that could be added to this database, please fill in the relevant details on this Google Form.
DOI: 10.5281/zenodo.13759831
title: Data for "Mitigation strategies can alleviate power system vulnerability to climate change and extreme weather: A case study on the Italian grid"

description: Data employed for the paper "Mitigation strategies can alleviate power system vulnerability to climate change and extreme weather: A case study on the Italian grid"AbstractThis study explores compounding impacts of climate change on power system's load and generation, emphasising the need to integrate adaptation and mitigation strategies into investment planning. We combine existing and novel empirical evidence to model impacts on: i) air-conditioning demand; ii) thermal power outages; iii) hydro-power generation shortages. Using a power dispatch and capacity expansion model, we analyse the Italian power system's response to these climate impacts in 2030, integrating mitigation targets and optimising for cost-efficiency at an hourly resolution. We outline different meteorological scenarios to explore the impacts of both average climatic changes and the intensification of extreme weather events. We find that addressing extreme weather in power system planning will require an extra 5-8 GW of  photovoltaic  (PV) capacity, on top of the 50 GW of the additional solar PV capacity required by the mitigation target alone. Despite the higher initial investments, we find that the adoption of renewable technologies, especially PV, alleviates the power system's vulnerability to climate change and extreme weather events. In fact, renewable energy sources are generally less vulnerable to the impacts of climate change, such as rising temperatures and shifting precipitation patterns, compared to thermal power and hydropower generation. Furthermore, enhancing short-term storage with lithium-ion batteries is crucial to counterbalance the reduced availability of dispatchable hydro generation.
DOI: 10.5281/zenodo.13847720
title: RegCM5 monthly mean differences in atmospheric state variables over Europe, FOR - CTL

description: This dataset contains monthly means of RegCM5 model output underlying the main results of the following publication:

Bright, R. M., Caporaso, L., Duveiller, G., Piccardo, M., Cescatti, A., "Biogeophysical radiative forcings of large-scale afforestation in Europe are highly localized and dominated by surface albedo change".  Geophysical Research Letters, Under review. 

RegCM5 outputs were applied directly to assess the statistical robustness of remote adjustments as well as serve as inputs to radiative kernels to diagnose individual TOA forcings and adjustments.
DOI: 10.5281/zenodo.13948382
title: Truth Tables for consistency-checking 3D geological models

description: The Microsoft Excel and PDF representations of the Truth Tables and geo-feature relation exampels  are provided as supplementary information to the GMD publication: 

Consistency-Checking 3D Geological Models

Marion N. Parquer, Eric A. de Kemp, Boyan Brodaric and Michael J. Hillier
DOI: 10.5281/zenodo.14273493
title: Data, Figures and Codes for "Experimental analyses of pore-size dependent biomineralization in porous media under various flow rate and bacterial density scenarios"

description: This repository contains the data, codes and figures for the manuscript "Experimental analyses of pore-size-dependent biomineralization in porous media under various flow rate and bacterial density scenarios". Comments welcome.
DOI: 10.5281/zenodo.14319647
title: Retention During Freezing of Raindrops, Part I: Investigation of Single and Binary Mixtures

description: This repository contains the data for our work titiled "Retention During Freezing of Raindrops, Part I: Investigation ofSingle and Binary Mixtures".
DOI: 10.5281/zenodo.14531322
title: Hyperlocal Urban Heat Data with a Mobile Platform

description: This document provides expanded definitions, units, and more information on the data provided in the .CSV files collected using the City Scanner platform, MIT Senseable City Lab over the year 2021. The data was collected as part of the Stockholm Heat project.

Data Fields

time: The time field is in Unix time and can be converted to local time with a simple script or using online tools.

latitude, longitude: The latitude and longitude readings from the devices are determined via GPS and given in degrees for projected corrdinates.

temperature: Ambient temperature reading in degrees Celsius.

humidity: Ambient relative humidity reading in percentage

tmst: Mean surface temperature of vertical surfaces of the sidewalk

Ambient temerature and ambient relative humidity is collected with a Bosch BME 280 sensor. Mean surface temperature is collected with a Melexis MLX90614 IR sensor.
DOI: 10.5281/zenodo.14608145
title: Supplementary material for KEPLER1658

description: model_parameters.csv includes results from a simultaneous fit of RV data and spectroscopy, describing the properties of Kepler1658b

TTV_results.csv includes the relevant parameters regarding the constant period model, orbital decay model, and apsidal precession model for KEPLER1658b

transit_timing_data.csv includes all the fitted primary and secondary eclipses from KEPLER and TESS, sorted in chronological order.
DOI: 10.5281/zenodo.5155219
title: Inputs and results of "A quantitative and qualitative citation analysis to retracted articles in the humanities domain"

description: This repository contains the datasets and visualizations generated in our work: <strong>"A quantitative and qualitative citation analysis to retracted articles in the humanities domain"</strong>. <strong>Note:</strong> the data are all contained inside the <strong><em>data.zip</em> </strong>file. You need to unzip the container to get access to all the files and directories listed below. The data (citations) gathered accompanied by their annotated characteristics are stored in <strong><em>data/</em>:</strong> <em>cits.csv: </em>a dataset containing all the entities (rows in the CSV) which have cited a retracted article in the humanities domain. Each citing entity (row) is accompanied by a set of features (columns) that characterizes it.<br> <strong>Note: </strong>this dataset is licensed under a Creative Commons public domain dedication (CC0). <em>content.csv: </em>a dataset containing the abstracts and the in-text citation contexts of all the citing entities gathered.<br> <strong>Note: </strong>the data keep their original license (the one provided by their publisher). This dataset is provided in order to favor the reproducibility of the results obtained in our work. <em>excluded_hum_retractions.csv: </em>a list of the 12 humanities retracted articles with a humanities affinity score &lt; 2, therefore excluded from the analysis. <strong>Topic modeling</strong> We run a topic modeling analysis on the textual features gathered (i.e. abstracts and citation contexts). The results are stored inside the <em><strong>topic_model/</strong></em> directory. The topic modeling has been done using MITAO, a tool for mashing up automatic text analysis tools and creating a completely customizable visual workflow [1]. The directory <em><strong>workflow/ </strong></em>contains the workflows used in MITAO. The topic modeling results for each textual feature are separated into two different folders, <em><strong>abstract/</strong></em> for the abstracts, and <em><strong>cits_context/</strong></em> for the in-text citation contexts. Both the directories contain the following directories/files: <em><strong>datasets_and_views/: </strong></em>the datasets and visualizations generated using MITAO. <em><strong>ldamodel_corpus_dict/: </strong></em>it contains the dictionary, the LDA topic model, and the tokenized and vectorized corpus. <em><strong>rawdata/: </strong></em>the textual collection, metadata, and stopwords used as input in the workflow of MITAO <strong>References</strong> [1] Ferri, P., Heibi, I., Pareschi, L., & Peroni, S. (2020). MITAO: A User Friendly and Modular Software for Topic Modelling [JD]. PuntOorg International Journal, 5(2), 135–149. https://doi.org/10.19245/25.05.pij.5.2.3
DOI: 10.5282/ubm/data.305
title: Supplementary data from: Altered microbiome signature in Cushing’s syndrome persists beyond remission. A longitudinal and cross-sectional analysis.

description: The associated article has been submitted to the The Journal of Clinical Endocrinology & Metabolism.
Please cite the original article when using these data.
DOI: 10.5676/dwd_gpcc/fd_m_v2022_050
title: GPCC Full Data Monthly Version 2022 at 0.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data
title: Globally Gridded Monthly Totals

description: This is the centennial GPCC Full Data Monthly Product of monthly global land-surface precipitation based on the ~86,000 stations world-wide that feature record durations of 10 years or longer. The data coverage per month varies from ~20,000 (previous version 15,000) to more than 52,000 stations. The Full Data Monthly Product will be updated at irregular time intervals subsequent to significant data base improvements. This product contains the monthly totals on a regular grid with a spatial resolution of 0.25° x 0.25°, 0.5° x 0.5°, 1.0° x 1.0°, and 2.5° x 2.5° latitude by longitude. Precipitation anomalies at the stations are interpolated and then superimposed on the GPCC Climatology V2022 in the corresponding resolution (DOIs: 10.5676/DWD_GPCC/Clim_M_V2022_025, 10.5676/DWD_GPCC/Clim_M_V2022_050, 10.5676/DWD_GPCC/Clim_M_V2022_100, and 10.5676/DWD_GPCC/Clim_M_V2022_250). The temporal coverage of the dataset ranges from January 1891 until December 2020.

The GPCC Full Data Monthly Product is the most accurate in situ precipitation reanalysis data set of GPCC. Moreover it supports regional climate monitoring, model validation, climate variability analysis and water resources assessment studies.
description: General user recommendations:
Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products:

GPCC Climatology 1951-2000 (GPCC_Clim) with high representativeness, for application as a reference, and for utilization of the anomaly interpolation method.

GPCC Full Data Monthly Product (GPCC_FD) with high accuracy, for, e.g., verification of models, or for analysis of historical global precipitation, or for research concerning the global water cycle, e.g., teleconnection analyses.

GPCC Full Data Daily Product (GPCC_FD_D) is recommended to be used when the daily precipitation information is of highest importance, e.g. for analyses of extreme events and related statistics at daily resolution.

GPCC HOMPRA-Europe (HOMPRA-Europe) with homogenized precipitation data, suitable for trend analyses.

GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting.

GPCC First Guess Monthly Product (GPCC_FG) with high timeliness, to be applied for, e.g., drought monitoring.

GPCC First Guess Daily Product (GPCC_FG_D) with high timeliness, to be applied for, e.g., drought monitoring.

GPCC Drought Index Product (GPCC_DI_M) with high timeliness, to be applied for, e.g., drought monitoring.

Please notice also the (GPCC Download Gate) with the current versions of all GPCC datasets and additional informations.