cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-1171220113
title: BAG Montpellier

description: The BAG of Montpellier gathers researchers from distinct institutes (CBS, IGF, IRIM and LPHI) affiliated to the INSERM, the CNRS and the university of Montpellier. The CBS is a node of the national infrastructure FRISBI. In this context, it is developping new methodologies for efficient ligand screening by X-ray diffraction. It is also involved in solving the structure of novel therapeutic targets to develop novel drug candidates. The IGF is involved in characterizing membrane proteins (mainly GPCRs) in order to better understand their functioning for therapeutic application. The IRIM and LPHI are focusing on several therapeutic targets related to infectious diseases in order to identify and develop novel inhibitors. CBS and IGF use SAXS to unravel the organization and behavior of various macromolecular systems in solution. Finally, we also use cryo-electron microscopy to study some macromolecular assemblies.
DOI: 10.34740/kaggle/dsv/5895943
title: arXiv Dataset
DOI: 10.5281/zenodo.8024087
title: Updated Rainfall data with 2022 data for few more NMME models

description: The dataset used in various plots of the manuscript submitted to GMD, It now has values for 2022 for few more NMME models
DOI: 10.5281/zenodo.8024086
title: Updated Rainfall data with 2022 data for few more NMME models

description: The dataset used in various plots of the manuscript submitted to GMD, It now has values for 2022 for few more NMME models
DOI: 10.6084/m9.figshare.23497553
title: <strong>learning curves for itinerant nurses to master the operation skill of Ti-robot assisted spinal surgery equipment</strong> <strong>by CUSUM Analysis</strong> 天玑机器人学习曲线.xlsx

description: The learning curve of Tirobot-assisted itinerant nurses was recorded. Individual learning curve and overall learning curve were included
DOI: 10.6084/m9.figshare.23497979
title: DATE.rar

description: Network pharmacological data and molecular docking data of Artemisia Argyi in the treatment of lumbar disc herniation <br>
DOI: 10.6084/m9.figshare.23497979.v1
title: DATE.rar

description: Network pharmacological data and molecular docking data of Artemisia Argyi in the treatment of lumbar disc herniation <br>
DOI: 10.34740/kaggle/dsv/5896082
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.6084/m9.figshare.23497985
title: Outcome data.xlsx

description: Sheets from the excel file are imported into the STATA software one sheet at a time.
DOI: 10.6084/m9.figshare.23497997
title: STATA data sheet

description: These are the STATA data sheets imported from excel. These are used directly for meta-analysis
DOI: 10.6084/m9.figshare.23497994
title: Siraj_DataExtraction_Pain.xlsx

description: Direct data extracted from studies. This sheet was designed using CADIMA
DOI: 10.6084/m9.figshare.23497994.v1
title: Siraj_DataExtraction_Pain.xlsx

description: Direct data extracted from studies. This sheet was designed using CADIMA
DOI: 10.6084/m9.figshare.23497982
title: column_sheet_template.xlsx

description: Data extraction sheet template designed by CADIMA
DOI: 10.6084/m9.figshare.23497982.v1
title: column_sheet_template.xlsx

description: Data extraction sheet template designed by CADIMA
DOI: 10.5281/zenodo.8024104
title: Complex Whistler-Mode Wave Features Created by a High Density Plasma Duct in the Magnetosphere

description: Raytracing simulation trajectories (from "DenRay" code) for modeling an RBSP observation of a duct-like structure in the magnetosphere. The data is saved in MATLAB's '.mat' format. it contains the following variables: x: x- position of rays z: z- position of rays kx: x-component of whistler mode wavevector kz: x-component of whistler mode wavevector t: vector of times along ray trajectory The dataset includes 10,000 rays and 859 time steps per ray. Please contact Vijay Harid (vijay.harid@ucdenver.edu) for specifics on the simulation.
DOI: 10.5281/zenodo.8024103
title: Complex Whistler-Mode Wave Features Created by a High Density Plasma Duct in the Magnetosphere

description: Raytracing simulation trajectories (from "DenRay" code) for modeling an RBSP observation of a duct-like structure in the magnetosphere. The data is saved in MATLAB's '.mat' format. it contains the following variables: x: x- position of rays z: z- position of rays kx: x-component of whistler mode wavevector kz: x-component of whistler mode wavevector t: vector of times along ray trajectory The dataset includes 10,000 rays and 859 time steps per ray. Please contact Vijay Harid (vijay.harid@ucdenver.edu) for specifics on the simulation.
DOI: 10.26188/23498024
title: Green Algal data

description: Data includes tables for green algal evolution studies <br>
DOI: 10.26188/23498024.v1
title: Green Algal data

description: Data includes tables for green algal evolution studies <br>
DOI: 10.6084/m9.figshare.23488436
title: Financial Data Analysis Process

description: · Financial expenses1 dataset: This dataset consists of simulated event logs generated from the financial expense data analysis process model. Each trace provides a detailed description of the process of analyzing office expense data. · Financial expenses2 dataset: This dataset consists of simulated event logs generated from the travel expense data analysis process model. Each trace provides a detailed description of the process of analyzing travel expense data. · Financial expenses3 dataset: This dataset consists of simulated event logs generated from the sales expense data analysis process model. Each trace provides a detailed description of the process of analyzing sales expense data. · Financial expenses4 dataset: This dataset consists of simulated event logs generated from the management expense data analysis process model. Each trace provides a detailed description of the process of analyzing management expense data. · Financial expenses5 dataset: This dataset consists of simulated event logs generated from the manufacturing expense data analysis process model. Each trace provides a detailed description of the process of analyzing manufacturing expense data. · Financial expenses6 dataset: This dataset consists of simulated event logs generated from the financial statement data analysis process model. Each trace provides a detailed description of the process of analyzing financial statement data.
DOI: 10.6084/m9.figshare.23488436.v1
title: Financial Data Analysis Process

description: · Financial expenses1 dataset: This dataset consists of simulated event logs generated from the financial expense data analysis process model. Each trace provides a detailed description of the process of analyzing office expense data. · Financial expenses2 dataset: This dataset consists of simulated event logs generated from the travel expense data analysis process model. Each trace provides a detailed description of the process of analyzing travel expense data. · Financial expenses3 dataset: This dataset consists of simulated event logs generated from the sales expense data analysis process model. Each trace provides a detailed description of the process of analyzing sales expense data. · Financial expenses4 dataset: This dataset consists of simulated event logs generated from the management expense data analysis process model. Each trace provides a detailed description of the process of analyzing management expense data. · Financial expenses5 dataset: This dataset consists of simulated event logs generated from the manufacturing expense data analysis process model. Each trace provides a detailed description of the process of analyzing manufacturing expense data. · Financial expenses6 dataset: This dataset consists of simulated event logs generated from the financial statement data analysis process model. Each trace provides a detailed description of the process of analyzing financial statement data.
DOI: 10.6084/m9.figshare.23498027
title: Repositiry dates paper "Morphological, structural, chemical, vibrational, thermal, pasting, and functional changes in pea starch during germination process"

description: This Figshare data repository contains the raw data of the results obtained from the different tests performed on pea starches, which is part of the article "Morphological, structural, chemical, vibrational, vibrational, thermal, pasting, and functional changes in pea starch during germination process", which is open access.
DOI: 10.6084/m9.figshare.23498027.v1
title: Repositiry dates paper "Morphological, structural, chemical, vibrational, thermal, pasting, and functional changes in pea starch during germination process"

description: This Figshare data repository contains the raw data of the results obtained from the different tests performed on pea starches, which is part of the article "Morphological, structural, chemical, vibrational, vibrational, thermal, pasting, and functional changes in pea starch during germination process", which is open access.
DOI: 10.5281/zenodo.7383049
title: Test

description: This is a test repository
DOI: 10.5281/zenodo.7383153
title: A Multimodal Dataset for Mixed Emotion Recognition

description: ABSTRACT: Mixed emotions have attracted an increasing interests recently, but existing datasets rarely focus on mixed emotion recognition from multimodal signals. Therefore, it is necessary to establish a dataset to support mixed emotion recognition research, and in this work, we present such a multi-modal dataset with four kind of signals recorded during watching mixed and non-mixed stimuli videos. To ensure the effect of emotion induction, we first implemented a rule-based video filtering step that filters stimuli videos based on emotion intensity. Then we conducted experiments on 35 subjects using the selected video clips. Four-kind of signals, including EEG, GSR, PPG and frontal face videos are recorded while the subjects watching 32 video clips from 4 blocks, and for each trial, we also recorded three self reports (i.e., PANAS, valence-arousal-dominance, amusement-disgust). The multimodal signal data and self-assessment data of 28 subjects together constitute the dataset. Technical validation for emotion induction and mixed emotion classification from physiological signals and face videos are also presented.
DOI: 10.6084/m9.figshare.21539685
title: Raw data for figures

description: This is the raw data used to generate all the figures in the Huang & Milton et al. publication.
DOI: 10.6084/m9.figshare.21539685.v1
title: Raw data for figures

description: This is the raw data used to generate all the figures in the Huang & Milton et al. publication.
DOI: 10.6084/m9.figshare.23498072
title: 003485491058068947013_0999056837.dem

description: 003485491058068947013_0999056837.dem
DOI: 10.6084/m9.figshare.23498078
title: 041.dem

description: 041.dem
DOI: 10.6084/m9.figshare.23498078.v1
title: 041.dem

description: 041.dem
DOI: 10.6084/m9.figshare.23498081
title: anonymo-vs-ldlc-m1-nuke.dem

description: anonymo-vs-ldlc-m1-nuke.dem
DOI: 10.6084/m9.figshare.23498081.v1
title: anonymo-vs-ldlc-m1-nuke.dem

description: anonymo-vs-ldlc-m1-nuke.dem
DOI: 10.6084/m9.figshare.23498084
title: <strong>astralis-vs-liquid-m2-nuke</strong>

description: <strong>astralis-vs-liquid-m2-nuke</strong>
DOI: 10.6084/m9.figshare.23498084.v1
title: <strong>astralis-vs-liquid-m2-nuke</strong>

description: <strong>astralis-vs-liquid-m2-nuke</strong>
DOI: 10.6084/m9.figshare.23498090
title: <strong>bot_name_test.dem</strong>

description: <strong>bot_name_test.dem</strong>
DOI: 10.6084/m9.figshare.23498090.v1
title: <strong>bot_name_test.dem</strong>

description: <strong>bot_name_test.dem</strong>
DOI: 10.6084/m9.figshare.23498093.v1
title: <strong>default.dem</strong>

description: <strong>default.dem</strong>
DOI: 10.6084/m9.figshare.23498093
title: <strong>default.dem</strong>

description: <strong>default.dem</strong>
DOI: 10.6084/m9.figshare.23498096
title: esea_match_16807861.dem

description: esea_match_16807861.dem
DOI: 10.6084/m9.figshare.23498099
title: esea_match_16902209.dem

description: esea_match_16902209.dem
DOI: 10.6084/m9.figshare.23498099.v1
title: esea_match_16902209.dem

description: esea_match_16902209.dem
DOI: 10.6084/m9.figshare.23498102
title: faceit_ecs_ot.dem

description: faceit_ecs_ot.dem
DOI: 10.6084/m9.figshare.23498102.v1
title: faceit_ecs_ot.dem

description: faceit_ecs_ot.dem
DOI: 10.6084/m9.figshare.23498185
title: Additional file 3 of MiR-494 induces metabolic changes through G6pc targeting and modulates sorafenib response in hepatocellular carcinoma

description: Additional file 3. Bioinformatics analysis.
DOI: 10.6084/m9.figshare.23498185.v1
title: Additional file 3 of MiR-494 induces metabolic changes through G6pc targeting and modulates sorafenib response in hepatocellular carcinoma

description: Additional file 3. Bioinformatics analysis.
DOI: 10.5281/zenodo.8022822
title: Effects of Precipitation Latent Heating on Structure and Evolution of Northeast China Cold Vortex: A PV Perspective

description: This is the dataset used in the paper entitled "Effects of Precipitation Latent Heating on Structure and Evolution of Northeast China Cold Vortex: A PV Perspective" by Ziqi Fan, Ming Xue, Kefeng Zhu, Liping Luo, Zongting Gao and Shangfeng Li.
DOI: 10.6084/m9.figshare.23498195
title: GFP&PAB1 training data

description: 1. GFP_PAB1_training_data.zip (1.53MB) This is the training data of EvoPlay in GFP and PAB1 tasks. The PAB1 dataset was obtained from https://rnajournal.cshlp.org/content/19/11/1537/suppl/DC1. The GFP dataset was obtained from https://doi.org/10.6084/m9.figshare.3102154.v1
DOI: 10.6084/m9.figshare.22647940
title: GB1&PhoQ predicted results

description: 1. GB1_PhoQ_data.zip (1.34GB) the top 384 mutants of generated results and the predicted results of 160000 mutants in 500 repeats on GB1 and PhoQ tasks. <br>
DOI: 10.6084/m9.figshare.22647940.v3
title: GB1&PhoQ predicted results and GFP&PAB1 training data

description: 1. GB1_PhoQ_data.zip (1.34GB) the top 384 mutants of generated results and the predicted results of 160000 mutants in 500 repeats on GB1 and PhoQ tasks. <br> 2. GFP_PAB1_training_data.zip (1.53MB) This is the training data of EvoPlay in GFP and PAB1 tasks. <br> The PAB1 dataset was obtained from https://rnajournal.cshlp.org/content/19/11/1537/suppl/DC1. The GFP dataset was obtained from https://doi.org/10.6084/m9.figshare.3102154.v1 <br>
DOI: 10.6084/m9.figshare.23498105
title: nip-vs-gambit-m2-inferno.dem

description: nip-vs-gambit-m2-inferno.dem
DOI: 10.6084/m9.figshare.23498105.v1
title: nip-vs-gambit-m2-inferno.dem

description: nip-vs-gambit-m2-inferno.dem
DOI: 10.5281/zenodo.8021679
title: Observational data, run scripts, and EAMv1 code for MICRE and ENA publications

description: Run scripts and EAMv1 code for MICRE and ENA publications
DOI: 10.5281/zenodo.8024287
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Jan Špaček, http://www.wikidata.org/entity/Q95437750. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q95437750
DOI: 10.5281/zenodo.8024286
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Jan Špaček, http://www.wikidata.org/entity/Q95437750. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q95437750
DOI: 10.5281/zenodo.8024307
title: CheckM2 benchmarking data

description: Benchmarking data for CheckM2 publication.
DOI: 10.5281/zenodo.8024306
title: CheckM2 benchmarking data

description: Benchmarking data for CheckM2 publication.
DOI: 10.6084/m9.figshare.23498213
title: unexpected_end_of_demo.dem

description: unexpected_end_of_demo.dem
DOI: 10.6084/m9.figshare.23498213.v1
title: unexpected_end_of_demo.dem

description: unexpected_end_of_demo.dem
DOI: 10.6084/m9.figshare.23498216
title: valve_matchmaking.dem

description: valve_matchmaking.dem
DOI: 10.6084/m9.figshare.23498216.v1
title: valve_matchmaking.dem

description: valve_matchmaking.dem
DOI: 10.6084/m9.figshare.23498219
title: vitality-vs-ence-m1-mirage.dem

description: vitality-vs-ence-m1-mirage.dem
DOI: 10.6084/m9.figshare.23498219.v1
title: vitality-vs-ence-m1-mirage.dem

description: vitality-vs-ence-m1-mirage.dem
DOI: 10.6084/m9.figshare.23498222
title: vitality-vs-g2-m2-mirage.dem

description: vitality-vs-g2-m2-mirage.dem
DOI: 10.6084/m9.figshare.23498222.v1
title: vitality-vs-g2-m2-mirage.dem

description: vitality-vs-g2-m2-mirage.dem
DOI: 10.6084/m9.figshare.23498225
title: warmup_test.dem

description: warmup_test.dem
DOI: 10.6084/m9.figshare.23498225.v1
title: warmup_test.dem

description: warmup_test.dem
DOI: 10.34740/kaggle/dsv/5897180
title: NSE-Scripts-Data
DOI: 10.5066/p9hnli7y
title: 3D bathymetric surfaces of low- and high-relief sites from the coral reef flat off Waiakane, Molokai

description: 3D bathymetric surfaces of low- and high-relief sites from the coral reef flat off Waiakane, Molokai, were created using structure-from-motion (SfM) techniques. The two study sites are located approximately 640 m from shore and approximately 20 m apart in the alongshore direction. At each site, an approximate 12-meter diameter area was imaged in three passes by a swimmer using a handheld digital camera. These images were fed into Structure-from-Motion (SfM) software to produce high-resolution (fine-scale), accurate, and precise topographic point clouds with sub-centimeter accuracy for both the low- and high-relief sites. In addition, a subset of a previously published (Logan and Storlazzi, 2022), coarser-scale, 3D bathymetric surface of the reef flat immediately surrounding the two study sites is included. The point clouds are formatted in LAS (.las) format. These data accompany a manuscript by Norris and others (2023) [Norris, B.K., Storlazzi, C.D., Pomeroy, A.W.M., Rosenberger, K.J., Logan, J.B., and Cheriton, O.M., 2023, Combining field observations and high-resolution numerical modeling to demonstrate the effect of coral reef roughness on turbulence and its implications for reef restoration design: Coastal Engineering, https://doi.org/10.1016/j.coastaleng.2023.104331].
DOI: 10.5066/p9u35um2
title: USGS National and Global Oil and Gas Assessment Project&amp;amp;mdash;Northwest Montana Bakken Formation: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

description: This data release contains the boundaries of assessment units and input data for the assessment of undiscovered continuous oil and gas resources in the Bakken formation of Northwest Montana. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border a Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary. In addition to the shapefile, for U.S. assessments, allocation tables are provided that enumerate percentages assigned to various land categories. Machine-readable tables are also provided that contain the input and results for each assessment unit summarized in the USGS Fact Sheet. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf). See supplemental information for a detailed list of files included this data release.
DOI: 10.5066/p933to2q
title: OpenFOAM models of low- and high-relief sites from the coral reef flat off Waiakane, Molokai, Hawaii

description: OpenFOAM Computational Fluid Dynamics (CFD) models were developed to simulate wave energy dissipation across natural rough reef surfaces on the reef flat off Waiakane, Molokai, Hawaii, to understand this process in the context of reef restoration design. A total of 140 models were developed (70 per low- and 70 per high-bed-relief domains). Models were calibrated and validated with oceanographic datasets collected in 2018. This data release presents the 140 model scenarios that can be readily input into OpenFOAM to recreate the results, in addition to a csv file indicating the parameters used for each model scenario. These model data accompany Norris and others (2023) OpenFOAM Computational Fluid Dynamics (CFD) models were developed to simulate wave energy dissipation across natural rough reef surfaces on the reef flat off Waiakane, Molokai, Hawaii, to understand this process in the context of reef restoration design. A total of 140 models were developed (70 per low- and 70 per high-bed-relief domains). Models were calibrated and validated with oceanographic datasets collected in 2018. This data release presents the 140 model scenarios that can be readily input into OpenFOAM to recreate the results, in addition to a csv file indicating the parameters used for each model scenario. These model data accompany Norris and others (2023) [Norris, B.K., Storlazzi, C.D., Pomeroy, A.W.M., Rosenberger, K.J., Logan, J.B., and Cheriton, O.M., 2023, Combining field observations and high-resolution numerical modeling to demonstrate the effect of coral reef roughness on turbulence and its implications for reef restoration design: Coastal Engineering, https://doi.org/10.1016/j.coastaleng.2023.104331].
DOI: 10.5066/p9djxk42
title: Hydrothermal friction experiments in quartzite: The effect of temperature and normal stress on strength recovery

description: Laboratory slide-hold-slide tests were conducted in a conventional triaxial deformation configuration on 3/4-inch diameter cylindrical cores of Eureka quartzite bisected by a sawcut oriented at 30 degrees from vertical. Tests were conducted at constant normal stresses of 30, 110, and 210 MPa with a 10 MPa pore fluid pressure. The pore fluid was deionized water. Experiments were conducted at temperatures of 22, 100, and 200 degC.
DOI: 10.5066/p9s0ui5p
title: Predicted consequences of detecting Najas minor environmental DNA in Sebago Lake Maine, 2022

description: U.S. Geological Survey decision analysts and technical experts worked with managers and stakeholders to predict the consequences of alternative actions following environmental DNA detections of invasive Najas minor eDNA in Sebago Lake, Maine, USA. This dataset provides the consequence and model inputs for each of the alternative actions under different levels of uncertainty.
DOI: 10.18170/dvn/axhauz
title: Ammonia (NH3) retrievals from GIIRS onboard FY-4B

description: Ammonia (NH3) retrievals from GIIRS onboard FY-4B
DOI: 10.6084/m9.figshare.23498033
title: Source data of the manuscript "Soliton pulse pairs at multiple colors in normal dispersion microresonators"

description: This is source data of the manuscript entitled " Soliton pulse pairs at multiple colors in normal dispersion microresonators".
DOI: 10.34740/kaggle/ds/3387465
title: Unveiling the Top Gaming Laptops