cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10858994
title: Part of the dataset and trained models in "A Physics-Enhanced Neural Network for Estimating Longitudinal Dispersion Coefficient and Average Solute Transport Velocity in Porous Media" by Meng et al. in Geophysical Research Letters

description: This repository is created to contain part of the data, codes and trained models in the research project titled "A Physics-Enhanced Neural Network for Estimating Longitudinal Dispersion Coefficient and Average Solute Transport Velocity in Porous Media".
DOI: 10.5281/zenodo.12706833
title: SLF Evaluation Dataset
title: "Speaking the Language of Faces" Evaluation Dataset

description: This dataset was constructed from the test set split of the VoxCeleb 2 dataset (VoxCeleb). The VoxCeleb 2 test set contains 118 speakers each in several different videos. To develop this dataset, only one video per speaker was selected. A face image was also extracted from the video, as well as, a low resolution face image (8x8). Age, gender and ethnicity of the person in the face image were determined using the “DeepFace” library, a face recognition and facial attribute analysis library.

This dataset can be used to evaluate speech2face, speech conditioned face generation and speech conditioned face super-resolution systems.
DOI: 10.5281/zenodo.14007780
title: Single-molecule imaging and molecular dynamics simulations reveal early activation of the MET receptor in situ

description: Data and analysis notebooks supporting:

Yunqing Li, Serena M. Arghittu, Marina S. Dietz, Gabriel J. Hella, Daniel Haße,  Davide M. Ferraris, Petra Freund, Hans-Dieter Barth, Hartmut H. Niemann, Roberto Covino, Mike Heilemann - "Single-molecule imaging and molecular dynamics simulations reveal early activation of the MET receptor in situ" (2024)
DOI: 10.5281/zenodo.3931963
title: K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations

description: ABSTRACT: Recognizing emotions during social interactions has many potential applications with the popularization of low-cost mobile sensors, but a challenge remains with the lack of naturalistic affective interaction data. Most existing emotion datasets do not support studying idiosyncratic emotions arising in the wild as they were collected in constrained environments. Therefore, studying emotions in the context of social interactions requires a novel dataset, and K-EmoCon is such a multimodal dataset with comprehensive annotations of continuous emotions during naturalistic conversations. The dataset contains multimodal measurements, including audiovisual recordings, EEG, and peripheral physiological signals, acquired with off-the-shelf devices from 16 sessions of approximately 10-minute long paired debates on a social issue. Distinct from previous datasets, it includes emotion annotations from all three available perspectives: self, debate partner, and external observers. Raters annotated emotional displays at intervals of every 5 seconds while viewing the debate footage, in terms of arousal-valence and 18 additional categorical emotions. The resulting K-EmoCon is the first publicly available emotion dataset accommodating the multiperspective assessment of emotions during social interactions.


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| Changelog (last updated: Jul 7, 2020) |
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* Version 1.0.0 (Jul 7, 2020):
    - Updated emotion_annotations.tar.gz:
        - Updated aggregated external annotations to support the reproduction of technical validation results.

* Version 0.2.0 (May 11, 2020):
    - Added data_quality_tables.tar.gz
    - Updated emotion_annotations.tar.gz
        - Newly added aggregated external annotations.
    - Updated metadata.tar.gz:
        - Added a new column to data_availability.csv to show the availability of aggregated external annotations.

* Version 0.1.0 (Apr 25, 2020):
    - Added debate_audios.tar.gz
    - Added debate_recordings.tar.gz
    - Added e4_data.tar.gz
    - Added emotion_annotations.tar.gz (self, partner, external)
    - Added metadata.tar.gz
    - Added neurosky_polar_data.tar.gz


 
description: When applying for the dataset, please fill in the user agreement form as well (https://forms.gle/qmK8TcEDtw56Nqev5). 

Please read the terms of usage carefully and don't hesitate to contact us if you have any questions.

Note that you need to use the same email address/mention the user id that you used in your Zenodo request when filling in the user agreement form. 

Also, please answer in detail to the question "For what purpose do you intend to use this data?" 

We may not accept your request if we find your justification insufficient upon the review.

After filling in the user agreement form, please do not forget to submit your request on Zenodo so that we can share the dataset.
DOI: 10.5281/zenodo.5732987
title: Subgrid-scale effects in cloud-like atmospheric flows: Colliding thermals - volume 2

description: Datasets to perform surrogate modeling of subgrid-scale effects in cloud-like atmospheric flows. Please see README.md file for detailed description and metadata.
DOI: 10.5281/zenodo.8087733
title: Cosmic Explorer MPSAC Dataset

description: This dataset contains the compact binary populations that were used in the Cosmic Explorer MPSAC White paper<sup>1</sup> (submitted to the NSF MPSAC ngGW Subcommittee) and the accompanying technical paper<sup>2</sup>. <strong>Contents:</strong> 1. 1-year populations for binary black hole (BBH), binary neutron star (BNS), neutron star-black hole (NSBH), intermediate mass binary black hole (IMBBH), Population III (Pop 3) binary black holes and primordial black hole (PBH) mergers. It also contains the SNRs and measurement errors on intrinsic and extrinsic parameters calculated using gwbench<sup>3</sup>. 2. 1/4-year sub-population of BNS mergers for which errors on tidal parameters were calculated. 3. An ipython notebook (instructions.ipynb) that shows how the data can be used. <strong>References:</strong> 1. Evans, Matthew <em>et al.</em> Cosmic Explorer: A Submission to the NSF MPSAC ngGW Subcommittee (2023). arXiv: 2306.13745 [gr-qc]. 2. Gupta, Ish <em>et al. </em>Characterizing Gravitational Wave Detector Networks: From A<sup>#</sup> to Cosmic Explorer (2023). <em>In preparation.</em> 3. Borhanian, Ssohrab. GWBENCH: a novel Fisher information package for gravitational-wave benchmarking. Class. Quant. Grav. 38, 175014 (2021). arXiv: 2010.15202 [gr-qc].
DOI: 10.5281/zenodo.8136135
title: G-REx: A Real-World Dataset of Group Emotion Experiences based on Physiological Data

description: G-REX is a novel dataset for real-world affective computing, with data collected in a naturalistic setting during movie sessions. Group physiological data (Photoplethysmography – PPG and Electrodermal Activity – EDA) are collected using a wrist-worn unobtrusive device and emotion ground-truth annotation is performed retrospectively, based on selected segments where each subject showed an elevated physiological response. In total, we provide data over 14 movie sessions, making a total of more than 300 hours of physiological data collected over 100+ subjects in groups.
DOI: 10.6084/m9.figshare.17061512.v1
title: Metadata record for: Psychophysiology of positive and negative emotions, dataset of 1157 cases and 8 biosignals

description: This dataset contains key characteristics about the data described in the Data Descriptor Psychophysiology of positive and negative emotions, dataset of 1157 cases and 8 biosignals. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.21779036.v1
title: Unraveling the phylogenomic diversity of Methanomassiliicoccales and implications for mitigating ruminant methane emissions

description: 33 high-quality Methanomassiliicoccales metagenome-assembled genomes
DOI: 10.6084/m9.figshare.26830078.v1
title: S-PRESTO lipidomics data at preconception

description: Plasma lipidomics data of S-PRESTO women at preconception.
DOI: 10.6084/m9.figshare.27194778
title: Supplementary Material for: Systemic Therapy for Atopic Dermatitis in Children and Adolescents: A United States Expert Consensus

description: Atopic dermatitis (AD) is a chronic, type-2 mediated, inflammatory skin disease characterized by intense pruritus, disruption of skin barrier function, and immune dysregulation. Management strategies for AD are routinely determined based on disease severity. First-line treatment begins with basic skin care and topical anti-inflammatory medication, which is typically sufficient for the management of mild-to-moderate disease. For those patients with moderate-to-severe disease, systemic therapy is often required. This can involve off-label treatment with conventional immunosuppressant medications. However, this approach is limited by a lack of robust clinical trial data and safety concerns that necessitate close monitoring. The emergence of novel targeted biologics and small molecules to treat AD presents an opportunity to optimize AD management and patient outcomes by offering greater efficacy than traditional immunosuppressants and a favorable safety profile. As the treatment landscape shifts, clinicians can benefit from a standardized process of patient assessment and treatment, along with resources to help maintain contemporary knowledge of available therapeutic options. This United States (US)-based, expert-led consensus used a modified Delphi process to develop core recommendations for the use of systemic medications for the management of pediatric patients &lt;18 years of age with moderate-to-severe AD.
DOI: 10.6084/m9.figshare.27612510
title: Supplementary Material for: Recurrent Hospitalizations for Fluid Overload in Diabetes with Kidney Failure Treated with Dialysis

description: Background & Aims
Diabetes Mellitus is the most common cause of end-stage kidney disease (ESKD) in Singapore. ESKD patients have high disease burden and are at increased risk of recurrent hospitalizations, including fluid overload. This study aimed to characterize the risk factors associated with readmissions for fluid overload that will identify high-risk hospitalizations for interventions to reduce readmissions. 
Methods
Retrospective cohort study of all hospitalizations for fluid overload in adults with diabetes and ESKD on dialysis in SingHealth hospitals between 2018 and 2021. Fluid overload was defined by discharge codes for fluid overload, heart failure, pulmonary edema, and generalized edema until 30th December 2022. Multivariable Cox regression analysis using the Prentice, Williams and Peterson Total Time (PWP-TT) model was performed for the outcomes of readmissions for fluid overload within 30 days and 90 days of discharge. 
Results
Among 3234 hospitalizations for fluid overload, readmission for fluid overload within 30-day and 90-day occurred in 585 (18.1%) and 967 (29.9%) hospitalizations, respectively. Ischemic heart disease, peripheral vascular disease and lower hemoglobin level were independently associated with readmissions for fluid overload within 30 and 90 days. Additionally, heart failure, hemodialysis (compared to peritoneal dialysis) and lack of statin at discharge were associated with increased 90-day readmission risk.
Conclusion
Modifiable (hemoglobin level, statin use) and non-modifiable factors (ischemic heart disease, peripheral vascular disease and heart failure) influenced the risk of readmission for fluid overload. These results may guide risk stratification and inform targeted interventions to reduce avoidable, unplanned readmissions for recurrent fluid overload among individuals with diabetes and ESKD.
DOI: 10.15151/esrf-es-1051064308
title: BREAK@ESRF

description: Deformation in the Earth’s crust localizes onto faults that may rupture rapidly producing earthquakes, or undergo slow aseismic slip that may or may not accelerate into coseismic slip. Our goal is to provide the first quantitative laboratory observations of the full displacement field in rocks before and during coseismic fault slip. Here, we will 1) develop a new and original rock deformation apparatus (ZEUS) on beamline BM18, that will couple X-ray tomography imaging and acoustic emission monitoring, 2) perform shock wave experiments on rocks on beamline ID19, 3) develop techniques to measure residual strains in deformed rocks on beamline ID11. The principal investigator, François Renard, has obtained an European Research Council Advanced Grant for the period 2022-2026, with a total funding of 3.45 M€, and in which ESRF is a Beneficiary. We are requesting a total of 165 shifts over 3 years (102 shifts on beamline BM18, 27 shifts on beamline ID19, 36 shifts on beamline ID11).
DOI: 10.15151/esrf-es-902986930
title: BREAK@ESRF

description: Deformation in the Earth’s crust localizes onto faults that may rupture rapidly producing earthquakes, or undergo slow aseismic slip that may or may not accelerate into coseismic slip. Our goal is to provide the first quantitative laboratory observations of the full displacement field in rocks before and during coseismic fault slip. Here, we will 1) develop a new and original rock deformation apparatus (ZEUS) on beamline BM18, that will couple X-ray tomography imaging and acoustic emission monitoring, 2) perform shock wave experiments on rocks on beamline ID19, 3) develop techniques to measure residual strains in deformed rocks on beamline ID11. The principal investigator, François Renard, has obtained an European Research Council Advanced Grant for the period 2022-2026, with a total funding of 3.45 M€, and in which ESRF is a Beneficiary. We are requesting a total of 165 shifts over 3 years (102 shifts on beamline BM18, 27 shifts on beamline ID19, 36 shifts on beamline ID11).
DOI: 10.24432/c51p50
title: Dodgers Loop Sensor
DOI: 10.24432/c5vc8g
title: Appliances Energy Prediction
DOI: 10.4225/87/5iobpg
title: Longitudinal Surveys of Australian Youth, 2003 cohort (Version 7.1)

description: In 2003 a nationally representative sample of about 12,500 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 third cohort of the LSAY program (LSAY Y03). As part of PISA, assessments in mathematical literacy, reading literacy, scientific literacy and problem-solving were administered in schools to provide information on student achievement. Students also completed a background questionnaire about themselves, their families, educational and vocational plans, attitudes to school, attitudes towards learning mathematics, relationships with teachers and peers, and perceptions of the school and classroom environments. In a follow-up telephone interview, students provided further information about their post-school, work experience, workplace learning and work situation. In 2004, members of the Y03 cohort were contacted for their annual LSAY telephone interviews. The questionnaire for their 2004 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. The final wave of interviewing (wave 11) took place in 2013 when respondents were, on average, 25 years of age.
DOI: 10.4225/87/wfeyru
title: Longitudinal Surveys of Australian Youth, 2006 cohort (Version 10.1)

description: In 2006 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 fourth cohort of the LSAY program (LSAY Y06). 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 views on a range of science-related issues, the environment, educational and vocational plans, attitudes to school and learning, work experience, workplace learning, and part-time work. In 2007, members of the Y06 cohort were contacted for the first of their annual LSAY telephone interviews. The questionnaire for their 2007 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. The final wave of interviewing (wave 11) took place in 2016 when respondents were, on average, 25 years of age.
DOI: 10.4227/05/552486484985d
title: TERN AusPlots Forest Monitoring Network - Large Tree Survey - 2012-2015

description: The dataset comprises data from the first survey of ~24,000 large trees (>10 cm diameter at breast height; DBH) within 48 1 ha forest monitoring plots established across Australia between 2011 and 2015. Data includes: [1] Site identifiers (ID and Site Name); [2] Plot Establishment Dates; [3] Tree identifiers and descriptors (ID, Species, Status, Growth Stage, Crown Class); [4] Tree measurements (Diameter, Point of Measurement, Height, Location); [5] Comments and ancillary information.
DOI: 10.5066/p9cxgu44
title: Data used in projected air and water temperatures for selected regions of the upper San Francisco Estuary and Yolo Bypass under 20 scenarios of climate change 2020-2099

description: Understanding the effects of climate change is a substantial challenge in estuarine systems because the mixing of freshwater and ocean water adds complexity to climate change projections. Such climate change projections have been conducted in the San Francisco Estuary as part of the U.S. Geological Survey's CASCaDE Project. In this project, we assessed downscaled air temperature data from 10 Global Climate Change models under 2 Representative Concentration Pathway (RCP) trajectories for greenhouse gas concentrations for three regions of the upper San Francisco Estuary: Suisun and Grizzly Bays, Suisun Marsh, and the legal Delta. We also utilized previously derived regression models to estimate future water temperatures at 16 locations within the upper estuary based on the projected air temperature data.
DOI: 10.5066/p9mynpdq
title: Data used in projected flow analysis in Yolo Bypass under 20 scenarios of climate change

description: Yolo Bypass is an ecological feature of the Bay-Delta ecosystem in California that provides floodplain habitat for spawning and rearing of Sacramento Splittail (Pogonichthys macrolepidotus) and rearing of juvenile Chinook Salmon (Oncorhynchus tshawytscha) when inundated. We used outputs from 10 climate change models for two Representative Concentration Pathways (RCPs) for greenhouse gas concentrations to assess the effects of climate change on the frequency, duration, and timing of flood flows in Yolo Bypass. We also assessed a planned notched weir modification to the primary weir that controls inflow from the Sacramento River into Yolo Bypass that has been designed to allow the bypass to be inundated at lower river flows.
DOI: 10.5067/ysr6ia5057xx
title: MERRA-2 tavgM_3d_udt_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Wind Tendencies V5.12.4
DOI: 10.5281/zenodo.10412704
title: Model Output accompanying 'A predicted pause in the rapid warming of the Northwest Atlantic Shelf in the coming decade'

description: Postprocessed model output and observations necessary for reproducing all figures from the main body of the artcile 'A predicted pause in the rapid warming of the1 Northwest Atlantic Shelf in the coming decade'. Please see the README.txt file
DOI: 10.5281/zenodo.10658967
title: Data supporting Miller, Jesse et al. (2024) "Earth's mesosphere during possible encounters with massive interstellar clouds 2 and 7 million years ago"

description: Data supporting Miller, Jesse et al. (2024) "Earth's mesosphere during possible encounters with massive interstellar clouds 2 and 7 million years ago"

These data are the ncl files output by the NASA GSFC 2D atmosphere model. This code has been slightly modified (to include NLCs and perform a single long run rather than split into 2-yr chunks) from the version available at: https://zenodo.org/records/7764996

There are three runs: a control (controlRun_PMCs_norestart), the LxCC (H2Otop_coldcloud3), and the wall of the Local Bubble (H2Otop_coldcloud4).

Also included is a Jupyter notebook (in Python 3.9.15) for plotting the output of these runs. More information is given in the markdown cell in the notebook.
DOI: 10.5281/zenodo.10802842
title: The Origin of the Lehmann Discontinuity beneath the Ancient Craton: Insight from the High Pressure-Temperature Elasticity Measurements of Topaz

description: Data sets for the paper "The Origin of the Lehmann Discontinuity beneath the Ancient Craton: Insight from the High Pressure-Temperature Elasticity Measurements of Topaz".
DOI: 10.5281/zenodo.10837907
title: Permafrost signature dataset

description: Dataset for the comparison between permafrost and non permafrost meandering rivers extracted with PyRIS from Landsat imagery.  The dataset is split in two folders for permafrost and non permafrost river, with a subfolder for each rivers. In the rivers subfolders there is an axis folder, containing all the axis files extracted from the river masks, and there can be a migration folder, with all the data for the axis migration evaluation, where this was possible. All the files are in the '.npy' format produced and read by the Python package Numpy and the structure of the files is described in the PyRIS manual, at https://doi.org/10.5281/zenodo.10837156. 

New in version 2:

- correction of reprojection errors
DOI: 10.5281/zenodo.11099919
title: Data for The principal role of chorus ducting for night-side relativistic electron precipitation

description: Data for Figure 2~4 in paper "The principal role of chorus ducting for night-side relativistic electron precipitation".
DOI: 10.5281/zenodo.13839386
title: Unraveling the Geodynamic Evolution of the Pre– and Early–Andean Margin: Insights from Numerical Modeling
DOI: 10.5281/zenodo.13961175
title: Quadratic Monte Carlo 2024

description: We introduce five novel types of Monte Carlo (MC) moves that brings the number of moves of ensemble MC calculations from three to eight. So far such calculations have relied on affine invariant stretch moves that were originally introduced by Christen (2007), walk moves by Goodman and Weare (2010) and quadratic moves by Militzer (2023). Ensemble MC methods have been very popular because they harness information about the fitness landscape from a population of walkers rather than relying on expert knowledge. Here we modified the affine method and employed a simplex of points to set the stretch direction. We adopt the simplex concept to quadratic moves. We also generalize quadratic moves to arbitrary order. Finally, we introduce directed moves that employ the values of the probability density while all other types of moves rely solely on the location of the walkers.
DOI: 10.5281/zenodo.5732523
title: Subgrid-scale effects in cloud-like atmospheric flows: Colliding thermals - volume 1

description: Datasets to perform surrogate modeling of subgrid-scale effects in cloud-like atmospheric flows. Please see README.md file for detailed description and metadata.