cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8kh9mp5d5d.1
title: Late Mesozoic Subduction-Accretion in the southern Qiangtang: Insights from the Sumxi Igneous Complex of west-central Tibet

description: Knowledge of the time of the closure of the Bangong-Nujiang Tethyan Ocean (BNTO) is critical for understanding the Mesozoic tectonics of the Tibetan Plateau. This study investigated the ca. 110–106 Ma Sumxi igneous complex (high-Nb basalts, magnesian andesites, and adakitic granites) in westernmost part of the Qiangtang terrane. Detailed studies imply strong slab-mantle interactions and arc affinities of Sumxi lavas, indicating that oceanic subduction may have lasted at least until ca. 105 Ma. Moreover, geochronological and geochemical data compilation of magmatic rocks in southern Qiangtang reveal episodic features, with two main high-flux events (~180–145 Ma and ~125–100 Ma) separated by magmatic lulls (~145–125 Ma). The episodic arc activity contributed greatly to the crustal thickening and surface uplift of the central Tibet before the onset of Lhasa-Qiangtang continental collision.
The supporting information Text S1 describes the methods for zircon U–Pb dating, Hf isotopes, whole-rock major- and trace-element and Sr–Nd isotope analyses. 
The figures consist of trace elements versus Nb correlation diagrams for Sumxi basalts and basaltic andesites (Figure S1), and U/Yb vs. Nb/Yb (ratios in log10) and U/Yb vs Y diagrams of zircons from the Sumxi igneous rocks (Figure S2).
The Tables S1-S4 show the data of zircon U–Pb isotope (Table S1), trace element data of zircons from the Sumxi Igneous Complex (Table S2), zircon Lu–Hf isotope (Table S3), and whole-rock major (wt. %), trace (ppm) elements and Sr–Nd isotopes (Table S4).
DOI: 10.17632/792zcmvmcb.1
title: Unity in Diversity in India

description: .
DOI: 10.17632/9k8pwkxd6j.1
title: Deep Learning based Thermal Energy Storage Air-Conditioning Application- Responses for Design Considerations

description: Two types of analysis were conducted. The initial study involved qualitative content analysis for deep learning-based Thermal-Energy-Storage Air-Conditioning (TES-AC) application to gather design requirements. Then another study was conducted to validate the developed application that involved the design guidelines from the initial study from the experts.
DOI: 10.17632/j88fg7tycg.1
title: San Jacinto Weather data

description: This is the weather data at the San Jacinto weather station, CA.
DOI: 10.25403/upresearchdata.21069793
title: Using improved control schemes to utilise the buffering capacity in gas headers to absorb upstream disturbances

description: A spectral element method (SEM) model was developed and validated using measurements from a real process for simulation and control applications. The figures show that model is complex enough to represent a real header process accurately, but simple enough to be implemented practically. The importance and optimal placement of pressure measurement locations on the gas headers for buffering control is determined through the combined use of the SEM model collocation points, an extended kalman filter (EKF), and a staggered pressure control scheme in a self-optimising control (SOC) framework. The figures show that the optimal pressure measurement location was found to be dependant on the distance from the flow disturbances and final control elements as well as the individual importance of consumer flow stability, expensive supplier use and gas emissions. Suitable control strategies to reduce gas emissions and improve flow stability for consumers were investigated and compared using the SEM model and a Monte Carlo simulation.The figures show the effect of variance in the gas properties on the total cost using the Sobol method. A chosen buffering control scheme was implemented on a real gas header and compared with standard PI control. The figures show that the chosen scheme (CLMPC) reduced emissions and improved consumer stability by intelligently utilising the available pressure buffering capacity in the industrial gas headers. All these figures therefore show that: it is possible and beneficial to mitigate flaring and improve consumer stability in industrial gas headers through the use of suitable pressure buffering control strategies, that the pressure measurement location impacts the performance of the control strategy and can be provided through a SOC framework using the combination of suitable state estimators and the SEM model developed, and that the SEM model accurately represents real industrial gas header dynamics and is suitable for use in practical control and simulation applications.
DOI: 10.25403/upresearchdata.21069793.v1
title: Using improved control schemes to utilise the buffering capacity in gas headers to absorb upstream disturbances

description: A spectral element method (SEM) model was developed and validated using measurements from a real process for simulation and control applications. The figures show that model is complex enough to represent a real header process accurately, but simple enough to be implemented practically. The importance and optimal placement of pressure measurement locations on the gas headers for buffering control is determined through the combined use of the SEM model collocation points, an extended kalman filter (EKF), and a staggered pressure control scheme in a self-optimising control (SOC) framework. The figures show that the optimal pressure measurement location was found to be dependant on the distance from the flow disturbances and final control elements as well as the individual importance of consumer flow stability, expensive supplier use and gas emissions. Suitable control strategies to reduce gas emissions and improve flow stability for consumers were investigated and compared using the SEM model and a Monte Carlo simulation.The figures show the effect of variance in the gas properties on the total cost using the Sobol method. A chosen buffering control scheme was implemented on a real gas header and compared with standard PI control. The figures show that the chosen scheme (CLMPC) reduced emissions and improved consumer stability by intelligently utilising the available pressure buffering capacity in the industrial gas headers. All these figures therefore show that: it is possible and beneficial to mitigate flaring and improve consumer stability in industrial gas headers through the use of suitable pressure buffering control strategies, that the pressure measurement location impacts the performance of the control strategy and can be provided through a SOC framework using the combination of suitable state estimators and the SEM model developed, and that the SEM model accurately represents real industrial gas header dynamics and is suitable for use in practical control and simulation applications.
DOI: 10.3886/icpsr07245.v1
title: Federal Court Cases, 1962-1964
title: Version 1

description: This study collected data from both civil and criminal federal cases tried in the fiscal years 1962-1963 and 1963-1964. Procedural, jurisdictional, and other legal information is provided, including the disposition of each case.
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: Civil, 1962-1963 
 DS2: Criminal, 1962-1963 
 DS3: Civil, 1963-1964 
 DS4: Criminal, 1963-1964
description: Federal Court Cases: Integrated Database Series
description: Civil and criminal federal court cases between 1962 and 1964.
DOI: 10.17632/vyhffxj6yt.1
title: The prevalence of loneliness and its associates in Taiwan across four years

description: The study aimed to investigate the prevalence and suicide-related risk factors of loneliness in Taiwan.
DOI: 10.17909/8c47-wb74
title: Data from "GOALS-JWST: Unveiling the Heavily Dust Obscured Compact Sources in the Merging Galaxy IIZw096"

description: JWST/MIRI SUB128 subarray images of the local luminous infrared galaxy IIZw96.
DOI: 10.17632/g77t7xg9yg.2
title: Analysis of dermoscopy changes of blue nevi in digital follow-up

description: Background: Blue nevi are benign dermal melanocytic proliferations that are often easy to recognize clinically. Rarely, these lesions can display atypical findings, such as progressive growth, suggesting the rise of a malignant blue nevus or mimicking cutaneous metastases from melanoma.

Objective: The objective of this study was to describe the clinical evolution of blue nevi over time, to assess the need for monitoring these lesions and to evaluate the molecular profile of blue nevi displaying an atypical behavior. 
Methods: We conducted a retrospective cohort study of 103 patients who were followed between December 1998 and November 2019. An active learning artificial intelligence algorithm was used to identify blue nevi based on its dermoscopic pattern from the database of two digital epiluminescence devices. Change in area of each lesion was calculated with a segmentation neural network. To further characterize the lesions exhibiting progressive growth, we obtained the molecular genomic profiling by next-generation sequencing.

Results: Of the 279 initially identified lesions, among a total of 398,543 images, 123 blue nevi from 103 individuals were included. A total of 108 (87.8%) lesions were segmented, of which 99 (91.7%) were considered stable. Of the 9 (8.3%) growing blue nevi identified, 2 (1.85%) presented a progressive growth with a percentual change of >100% and were excised and further characterized. The studied growing blue nevi turned out to be cellular blue nevi, presented with a low tumor mutation burden and GNAQ c.626A>T alteration was identified in both lesions.

Conclusions: In this cohort with extensive follow-up, we observed that the majority of blue nevi remain stable during their evolution. Rarely, they can show progressive growth, although histopathological or molecular signs of malignancy have not been identified in these lesions. Accordingly, periodic monitoring of blue nevi is not required.
DOI: 10.17632/g77t7xg9yg.3
title: Analysis of dermoscopy changes of blue nevi in digital follow-up

description: Background: Blue nevi are benign dermal melanocytic proliferations that are often easy to recognize clinically. Rarely, these lesions can display atypical findings, such as progressive growth, suggesting the rise of a malignant blue nevus or mimicking cutaneous metastases from melanoma.

Objective: The objective of this study was to describe the clinical evolution of blue nevi over time, to assess the need for monitoring these lesions and to evaluate the molecular profile of blue nevi displaying an atypical behavior. 
Methods: We conducted a retrospective cohort study of 103 patients who were followed between December 1998 and November 2019. An active learning artificial intelligence algorithm was used to identify blue nevi based on its dermoscopic pattern from the database of two digital epiluminescence devices. Change in area of each lesion was calculated with a segmentation neural network. To further characterize the lesions exhibiting progressive growth, we obtained the molecular genomic profiling by next-generation sequencing.

Results: Of the 279 initially identified lesions, among a total of 398,543 images, 123 blue nevi from 103 individuals were included. A total of 108 (87.8%) lesions were segmented, of which 99 (91.7%) were considered stable. Of the 9 (8.3%) growing blue nevi identified, 2 (1.85%) presented a progressive growth with a percentual change of >100% and were excised and further characterized. The studied growing blue nevi turned out to be cellular blue nevi, presented with a low tumor mutation burden and GNAQ c.626A>T alteration was identified in both lesions.

Conclusions: In this cohort with extensive follow-up, we observed that the majority of blue nevi remain stable during their evolution. Rarely, they can show progressive growth, although histopathological or molecular signs of malignancy have not been identified in these lesions. Accordingly, periodic monitoring of blue nevi is not required.
DOI: 10.17632/g77t7xg9yg.1
title: Analysis of dermoscopy changes of blue nevi in digital follow-up

description: Background: Blue nevi are benign dermal melanocytic proliferations that are often easy to recognize clinically. Rarely, these lesions can display atypical findings, such as progressive growth, suggesting the rise of a malignant blue nevus or mimicking cutaneous metastases from melanoma.

Objective: The objective of this study was to describe the clinical evolution of blue nevi over time, to assess the need for monitoring these lesions and to evaluate the molecular profile of blue nevi displaying an atypical behavior. 
Methods: We conducted a retrospective cohort study of 103 patients who were followed between December 1998 and November 2019. An active learning artificial intelligence algorithm was used to identify blue nevi based on its dermoscopic pattern from the database of two digital epiluminescence devices. Change in area of each lesion was calculated with a segmentation neural network. To further characterize the lesions exhibiting progressive growth, we obtained the molecular genomic profiling by next-generation sequencing.

Results: Of the 279 initially identified lesions, among a total of 398,543 images, 123 blue nevi from 103 individuals were included. A total of 108 (87.8%) lesions were segmented, of which 99 (91.7%) were considered stable. Of the 9 (8.3%) growing blue nevi identified, 2 (1.85%) presented a progressive growth with a percentual change of >100% and were excised and further characterized. The studied growing blue nevi turned out to be cellular blue nevi, presented with a low tumor mutation burden and GNAQ c.626A>T alteration was identified in both lesions.

Conclusions: In this cohort with extensive follow-up, we observed that the majority of blue nevi remain stable during their evolution. Rarely, they can show progressive growth, although histopathological or molecular signs of malignancy have not been identified in these lesions. Accordingly, periodic monitoring of blue nevi is not required.
DOI: 10.17632/g77t7xg9yg.4
title: Analysis of dermoscopy changes of blue nevi in digital follow-up

description: Background: Blue nevi are benign dermal melanocytic proliferations that are often easy to recognize clinically. Rarely, these lesions can display atypical findings, such as progressive growth, suggesting the rise of a malignant blue nevus or mimicking cutaneous metastases from melanoma.

Objective: The objective of this study was to describe the clinical evolution of blue nevi over time, to assess the need for monitoring these lesions and to evaluate the molecular profile of blue nevi displaying an atypical behavior. 
Methods: We conducted a retrospective cohort study of 103 patients who were followed between December 1998 and November 2019. An active learning artificial intelligence algorithm was used to identify blue nevi based on its dermoscopic pattern from the database of two digital epiluminescence devices. Change in area of each lesion was calculated with a segmentation neural network. To further characterize the lesions exhibiting progressive growth, we obtained the molecular genomic profiling by next-generation sequencing.

Results: Of the 279 initially identified lesions, among a total of 398,543 images, 123 blue nevi from 103 individuals were included. A total of 108 (87.8%) lesions were segmented, of which 99 (91.7%) were considered stable. Of the 9 (8.3%) growing blue nevi identified, 2 (1.85%) presented a progressive growth with a percentual change of >100% and were excised and further characterized. The studied growing blue nevi turned out to be cellular blue nevi, presented with a low tumor mutation burden and GNAQ c.626A>T alteration was identified in both lesions.

Conclusions: In this cohort with extensive follow-up, we observed that the majority of blue nevi remain stable during their evolution. Rarely, they can show progressive growth, although histopathological or molecular signs of malignancy have not been identified in these lesions. Accordingly, periodic monitoring of blue nevi is not required.
DOI: 10.17632/w3cbnh3xdf.1
title: Monetary Policy Expectations Errors - Schmeling Schrimpf Steffensen - JFE

description: Data and code to reproduce main results in the paper Monetary Policy Expectation Errors
DOI: 10.17632/ybj8f7sccz.1
title: Wang et al. Immunoblotting Original Data

description: Immunoblotting original data for Wang et al. paper. Western original figs 1 and 2 correspond to the immunoblots in the main figures and in the supplemental figures, respectively.
DOI: 10.5281/zenodo.5424752
title: Satellite-derived ground level NO2 concentrations, 2005-2019

description: Ground level NO2 concentrations derived from OMI and TROPOMI satellite NO2 observations, as presented in Cooper et al 2021 (DOI: 10.1038/s41586-021-04229-0). NO2 column densities for the given year are determined using OMI observations, and downscaled to finer resolution using TROPOMI observations. Ground level concentrations are derived from downscaled column densities using the GEOS-Chem chemical transport model constrained with ground monitor observations following the method outlined in Cooper et al 2020 (https://doi.org/10.1088/1748-9326/aba3a5) and Cooper et al 2021. Annual mean data are provided at ~1x1 km2 resolution at satellite overpass time (~1:30 PM local). Datasets are in netcdf (.nc) format.
DOI: 10.5281/zenodo.5424751
title: Satellite-derived ground level NO2 concentrations, 2005-2019

description: Ground level NO2 concentrations derived from OMI and TROPOMI satellite NO2 observations, as presented in Cooper et al 2021 (DOI: 10.1038/s41586-021-04229-0). NO2 column densities for the given year are determined using OMI observations, and downscaled to finer resolution using TROPOMI observations. Ground level concentrations are derived from downscaled column densities using the GEOS-Chem chemical transport model constrained with ground monitor observations following the method outlined in Cooper et al 2020 (https://doi.org/10.1088/1748-9326/aba3a5) and Cooper et al 2021. Annual mean data are provided at ~1x1 km2 resolution at satellite overpass time (~1:30 PM local). Datasets are in netcdf (.nc) format.
DOI: 10.6084/m9.figshare.21082177.v1
title: Untitled Item

description: Supplementary table 4. A) Amplification status of MYC gene in Study I as resulting from TSO500 HT analyses. B) Results of the differential analysis without samples carrying an amplification of MYC
DOI: 10.6084/m9.figshare.21082099
title: DCS_Lifetime_Properties_to_JGR

description: This file contain the lifetime properties of the captured deep convection cases by FACTS, including lifetime, BT, rainfall, area and number of cores.
DOI: 10.6084/m9.figshare.21063190
title: GPyro-TD.zip

description: Thermal Imaging data used for developing the model GPyro in the article: <em>"GPyro: uncertainty-aware temperature predictions for additive manufacturing".</em> The dataset is comprised of the thermal recordings produced during the deposition of a structure consisting of 9 pockets using Wire-arc additive manufacturing (WAAM). The structure was deposited with 27 unique torch paths resulting in different thermal fields. While our thermal camera has a resolution of 1024x720 pixels, we downsampled the images and only used 81 points for efficiency and size considerations (total files need ~4TB of space). The locations of each point can be found in the <em>Recorded_points.csv</em> file (pixels and millimeters); the torch path used in each experiment is located in the Coordinate_Time folder, with the corresponding thermal fields being in the <em>temperatures</em> folder. Every experiment has a unique id, starting with T and then followed by the experiment number, e.g., <em>"T1"</em>.
DOI: 10.5281/zenodo.7071341
title: Dataset for "Quantification of Muscle Fiber Malformations Using Edge Detection to Investigate Chronic Wound Healing"

description: Primary images, spreadsheets and files for "Quantification of Muscle Fiber Malformations Using Edge Detection to Investigate Chronic Wound Healing" From the "Cardiotoxin" folder, "Stitch_A01_G001 incr bright" and "Stitch_A01_G001_0001 incr bright.jpg" were not used in the analysis. From the "PU + DFO" folder, "Stitch_A01_G002 M194 20210930.jpg" was not used in the analysis. Thus, n = 6 images were used in each group.
DOI: 10.5281/zenodo.7071340
title: Dataset for "Quantification of Muscle Fiber Malformations Using Edge Detection to Investigate Chronic Wound Healing"

description: Primary images, spreadsheets and files for "Quantification of Muscle Fiber Malformations Using Edge Detection to Investigate Chronic Wound Healing"
DOI: 10.5281/zenodo.7071481
title: Dataset for "Quantification of Muscle Fiber Malformations Using Edge Detection to Investigate Chronic Wound Healing"

description: Primary images, spreadsheets and files for "Quantification of Muscle Fiber Malformations Using Edge Detection to Investigate Chronic Wound Healing"
DOI: 10.5281/zenodo.7071849
title: Dataset for "Quantification of Muscle Fiber Malformations Using Edge Detection to Investigate Chronic Wound Healing"

description: Primary images, spreadsheets and files for "Quantification of Muscle Fiber Malformations Using Edge Detection to Investigate Chronic Wound Healing"
DOI: 10.6084/m9.figshare.21081949.v1
title: Source data for Figure 2.xlsx

description: Source data for Figure 2<strong> "Effects of rearing facility on the behavioral and physiological profile of the mice"</strong> <br> This file contains raw source data used to make the graphs presented in Figure 2.
DOI: 10.34740/kaggle/dsv/4194075
title: Elon Musk Tweets
DOI: 10.5281/zenodo.7071735
title: Comparing the representation of a simple visual stimulus across the cerebellar network [dataset]

description: This repository contains all the raw data that has been used to generate the figures in the paper "Comparing the representation of a simple visual stimulus across the cerebellar network".<br> To use the dataset, select all 10 .zip files provided here and unpack them simultaneously. The dataset contains the following folders: freely_swimming_beh folder contains the data for the freely swimming behavior experiments. Inside, subfolders for each behavioral experiment run can be found, containing the experiment metadata and the behavioral log. flashes folder contains the data for the imaging experiments with the FLASHES protocol. Within this folder, three subfolders can be found with the data for each one of the three different types of imaged cell types (GCs, IONs and PCs). Within those subfolders, a folder for each imaged fish can be found, containing a data dictionary with the extracted ROI traces, and a folder with the experiment metadata. steps folder contains the data for the imaging experiments with the STEPS protocol. Within this folder, three subfolders can be found with the data for each one of the three different types of imaged cell types (GCs, IONs and PCs). Within those subfolders, a folder for each imaged fish can be found, containing a data dictionary with the extracted ROI traces, and a folder with the experiment metadata. fitting folder contains data dictionaries with the results from the model fitting needed to reproduce the manuscript figures. data_dict4decoding_complete.h5 is a dictionary file containing all necessary data to reproduce the decoding experiments.