cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gwnx93d3vy.1
title: Mendeley supplemental

description: Mendeley supplemental table I. Reasons for the withdrawals.
Mendeley supplemental table II. Adverse events of propranolol treatment.
Mendeley supplemental table III. The effects of general characteristics and propranolol efficacy on relapse.
Mendeley supplemental table IV. The effects of general characteristics and propranolol efficacy on major relapse.
Supplemental figure 1. Images of typical lesion 1 evaluated through color Doppler ultrasound. (A) Lesion volume was 1.30 cm3 and blood flow grade was grade 3 before propranolol treatment. (B) Lesion volume was 0.42 cm3 and blood flow grade was grade 2 when reaching the maximum regression after 7 months of treatment. (C) Lesion volume was 0.37 cm3 and blood flow grade was grade 2 before propranolol withdrawal (after 3-month maintenance of treatment). (D) Four months after withdrawal, lesion volume was 1.32 cm3 and blood flow grade was grade 3, which was evaluated as a major relapse. 
Supplemental figure 2. Images of typical lesion 2 evaluated through color Doppler ultrasound. (A) Lesion volume was 13.85 cm3 and blood flow grade was grade 3 before propranolol treatment. (B) Lesion volume was 7.89 cm3 and blood flow grade was grade 1 when reaching the maximum regression after 4 months of treatment. (C) Lesion volume was 8.37 cm3 and blood flow grade was grade 1 before propranolol withdrawal (after 3-month maintenance of treatment). (D) Two months after withdrawal, lesion volume was 7.72 cm3 and blood flow grade was grade 1, which was evaluated as no relapse. 
Supplemental figure 3. Images of typical lesion 3 evaluated through color Doppler ultrasound. (A) Lesion volume was 15.00 cm3 and blood flow grade was grade 3 before propranolol treatment. (B) Lesion volume was 5.12 cm3 and blood flow grade was grade 1 when reaching the maximum regression after 4.3 months of treatment. (C) Lesion volume was 4.67 cm3 and blood flow grade was grade 1 before propranolol withdrawal (after 1-month maintenance of treatment). (D) Two months after withdrawal, lesion volume was 4.18 cm3 and blood flow grade was grade 1, which was evaluated as no relapse.
Supplemental figure 4. Medication durations and ages at medication termination of patients with and without relapse, patients with and without major relapse.
DOI: 10.17632/kb42z77m2g.1
title: EmpaticaE4Stress

description: The proposed data repository is organized as follows: a folder called “Subjects” in which there are 29 folders, one for each subject named “subject_xx” where xx is an increasing number ID. In each folder, there are six .csv file with all the data recorded by Empatica E4. Specifically: Blood Volume Pressure (BVP), Electrodermal Activity (EDA), Body Temperature (TEMP), Heart rate (HR), Inter-beat interval (IBI), Accelerometer data (ACC).
DOI: 10.17632/s4g2y7c7c7.1
title: Legacy and Emerging Plasticizers and Stabilizers in PVC Floorings - Rawdata

description: This dataset contains data acquisition methods, measured raw data, and processing scripts for the study "Legacy and Emerging Plasticizers and Stabilizers in PVC Floorings: Impacts of an Industrial Transition and Recycling". This study is currently under review in ES&T (DOI: not yet given) and a preprint is available on ChemRxiv (DOI: 10.26434/chemrxiv-2023-09wpg-v2). Specifically these data are given: • Supporting Information File 3 (SI3): Zip file containing the protocol used for ortho-phthalate quantitation. • Supporting Information File 4 (SI4): Zip file containing Agilent method files for the GC-MS analyses. • Supporting Information File 5 (SI5): Zip file containing python scripts for data analysis • Supporting Information File 6 (SI6): Zip file containing the raw data from all conducted ATR FTIR measurements, as csv, spa, spc and dx files for each spectrum • Supporting Information File 7 (SI7): Zip file containing the raw data from all GC-MS or-tho-phthalate quantification runs, as Agilent files for each run and Excel files from Mas-shunter quantification • Supporting Information File 8 (SI8): Zip file containing the raw data from all GC-MS suspect screening runs, as Agilent files for each run and Excel files from Masshunter identification, Python semi-quantification and substance table
DOI: 10.48432/hpxsml
title: LiDAR survey on 1009 hectares in Itapirapuã, Goiás, Brasil in 2018

description: The LiDAR data Goiás, Itapirapuã municipality (GO1_A01_2018_LiDAR) refers to the survey carried out in Itapirapuã and Goiás municipalities, Goiás state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Enterprise for Agricultural Research (EMBRAPA) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.48432/mwto4v
title: LiDAR survey on 1048 hectares in Tapajós, Belterra, Pará, Brasil in 2017.

description: The LiDAR data Floresta Nacional do Tapajós (TAP_A01_2017_LiDAR) refers to the survey carried out in Tapajós National Forest, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.48432/lbvkti
title: LiDAR survey on 400 hectares in Tapajós, Belterra, Pará, Brasil in 2008

description: The LiDAR data Floresta Nacional de Tapajos (TAP_A01_2008_LIDAR) refers to initial airborne survey carried out in 2008 at Tapajos National Forest, Pará state, Brazil, funded by grants from NASA (#NNX09AI33G to M. Lefsky et al.) and NSF (#0721140 to S. Saleska, G.G. Parker, Y. Shimabukuro et al.). The TAP_A01_2008 survey encompasses the km67 LBA eddy flux tower for long-term flux measurements of carbon dioxide (Hutyra et al., 2007; Wu et al., 2017).The purpose of these projects was to use LiDAR to measure forest canopy structure across Amazonian landscapes to infer large-scale forest biomass and carbon balance (Stark et al., 2012). These data have been incorporated into the broader integrated effort of Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Enterprise for Agricultural Research (EMBRAPA) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. . This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.6084/m9.figshare.24885393
title: Genetic dataset

description: This dataset contains raw genetic data covering all diseases.
DOI: 10.6084/m9.figshare.24885393.v2
title: Genetic dataset

description: This dataset contains raw genetic data covering all diseases.
DOI: 10.5063/f13r0rbj
title: Nitrogen pools and fluxes in three Hawaaiin ecosystems after varying time since invasive ungulate removal

description: This data set captures pools and fluxes of inorganic N along three chonosequences of exclusion (via fencing) of non-native ungulates (sheep, goats and pigs) in three ecosystems (dry shrubland, dry forest and wet montane forest) on the Big Island of Hawaii. Methods described in detail in Soper et al. (2024) Inconsistent recovery of nitrogen cycling after feral ungulate removal across three tropical island ecosystems. Biogeochemistry
DOI: 10.6084/m9.figshare.24891312
title: simulationHistograms.zip

description: Output of simulations used for article Time-of-flight scatter rejection in X-ray radiography
DOI: 10.5281/zenodo.10371025
title: Simulations used in the Ocean Science Journal submission titled "Internal and forced ocean variability in the Mediterranean Sea " by Benincasa et al., 2024

description: Temperature (votemper) and current speed datasets from the EAS5 (Clementi et al., Mediterranean Sea Analysis and Forecast (CMEMS MED-Currents, EAS5 system), 2019;  Coppini et al., The Mediterranean forecasting system. Part I: evolution and performance, EGUsphere, pp. 1–50, 2023) simulations used in the manuscript titled "Internal and forced ocean variability in the Mediterranean Sea" and submitted to the journal Ocean Science by Benincasa et al. 

The daily fields are at 2 depth levels ( 0 = 0 m, 2 = 30 m) and in the 2 seasons (JFMA = winter, JASO = summer) for the entire Mediterranean Sea. The vertical profile of the temperature field up to about 950 m depth is available at 8 locations distributed over the basin. The depth levels are found in depth.pkl: the first column represents the depth of the various levels, whereas the second is the increments between 2 consecutive depth levels.
DOI: 10.5522/04/24864732
title: Subiculum neuron data from adult and developing rats

description: The data contained in these files represent extracellular recordings of action potentials obtained from awake and freely-moving rats. Rats explored open arenas of different shapes during recording. The electrodes were placed in the subiculum and medial entorhinal cortex. The key raw data are positional tracking files (x,y position and head direction) at every (50Hz) sample point, and synchronised times of action potential occurrence, for each cell. In addition, the data contains rates maps, summarising mean firing rate at each position in the arena, and a series of pre-calculated scores quantifying spatial firing, for each cell.The data is contained in matlab 'table' variables. Custom code (used for the analysis described in the linked manuscript) and a guide to the data can be found at: https://github.com/WillsCacucciLab/SubDev2022/public
DOI: 10.5522/04/24864732.v1
title: Subiculum neuron data from adult and developing rats

description: The data contained in these files represent extracellular recordings of action potentials obtained from awake and freely-moving rats. Rats explored open arenas of different shapes during recording. The electrodes were placed in the subiculum and medial entorhinal cortex. The key raw data are positional tracking files (x,y position and head direction) at every (50Hz) sample point, and synchronised times of action potential occurrence, for each cell. In addition, the data contains rates maps, summarising mean firing rate at each position in the arena, and a series of pre-calculated scores quantifying spatial firing, for each cell.The data is contained in matlab 'table' variables. Custom code (used for the analysis described in the linked manuscript) and a guide to the data can be found at: https://github.com/WillsCacucciLab/SubDev2022/public
DOI: 10.5281/zenodo.10391707
title: Data on the gravitational settling experiment and FLEXPART simulations output

description: Data accompanying the research paper 'Shape matters: long-range transport of microplastic fibers in the atmosphere' by Tatsii et al., 2023 accepted by ACS Environmental Science and Technology journal.

 

The uploaded text file refers to the experimental data on gravitationsl settling of microplastic fibers and spheres.

Tar archives contain the FLEXPART (Lagrangian particle dispersion model) simulations output considering low and high scavenging efficiencies.
DOI: 10.5281/zenodo.10391708
title: Data on the gravitational settling experiment and FLEXPART simulations output

description: Data accompanying the research paper 'Shape matters: long-range transport of microplastic fibers in the atmosphere' by Tatsii et al., 2023 accepted by ACS Environmental Science and Technology journal.

 

The uploaded text file refers to the experimental data on gravitationsl settling of microplastic fibers and spheres.

Tar archives contain the FLEXPART (Lagrangian particle dispersion model) simulations output considering low and high scavenging efficiencies.
DOI: 10.17882/97962
title: A dataset of Zostera marina and Zostera noltei structure and functioning in four sites along the French coast over a period of 18 months

description: The data concerns the structure and morphometry of the seagrasses Zostera marina and Zostera noltei, the diversity of the associated epifauna and the benthic fluxes of oxygen, carbon and nutrients. The dataset includes 103 sampling events divided among four sites and spread across three distinct marine biogeographic regions (i.e. the English Channel, Bay of Biscay and Western Mediterranean), and up to five seasons, depending on the site. The sampling scale allows inter-site and intra-habitat comparisons . Environmental conditions are also described at the site scale. As the most comprehensive and broadscale French dataset on seagrass structure and functioning  to date, it is useful for both data analysis and management actions.
DOI: 10.5281/zenodo.10425178
title: Colaboración con la industria de los Graduados de Programas de Doctorado 2012-2020

description: Los datos dan cuentan a la colaboración con la industria en la producción académica de los graduados de programas doctorales de la Pontificia Universidad Católica de Chile, entre los años 2012 y 2020.  Los datos fueron recuperados desde Web of Science e Incite de Clarivate Analytics.
DOI: 10.5281/zenodo.10425179
title: Colaboración con la industria de los Graduados de Programas de Doctorado 2012-2020

description: Los datos dan cuentan a la colaboración con la industria en la producción académica de los graduados de programas doctorales de la Pontificia Universidad Católica de Chile, entre los años 2012 y 2020.  Los datos fueron recuperados desde Web of Science e Incite de Clarivate Analytics.
DOI: 10.5281/zenodo.10424464
title: Coupling deep learning and physically-based hydrological models for monthly streamflow predictions

description: Revision in journal Water Resources Research, Paper # 2023WR035618R
DOI: 10.5281/zenodo.10424465
title: Daily meteorological variables including precipitation, maximum and minimum air temperatures_Hanjiang River basin
DOI: 10.5281/zenodo.10424604
title: Coupling deep learning and physically-based hydrological models for monthly streamflow predictions

description: Revision in journal Water Resources Research, Paper # 2023WR035618R
DOI: 10.5281/zenodo.10425315
title: Artifacts for Bachelor's Thesis: "Development and Integration of an Area Generator for the Gamify-IT Project"

description: The project files and evaluation questionnaires and results for the Bachelor's Thesis "Development and Integration of an Area Generator for the Gamify-IT Project".

The project files are part of the Gamify-IT project and have only been expanded in this work. 

The evaluation questionnaires and results are partially in German.
DOI: 10.5281/zenodo.10425316
title: Artifacts for Bachelor's Thesis: "Development and Integration of an Area Generator for the Gamify-IT Project"

description: The project files and evaluation questionnaires and results for the Bachelor's Thesis "Development and Integration of an Area Generator for the Gamify-IT Project".

The project files are part of the Gamify-IT project and have only been expanded in this work. 

The evaluation questionnaires and results are partially in German.
DOI: 10.6084/m9.figshare.24894846
title: Data

description: Data used in Castilho and Gawryszewski (2024)
DOI: 10.6084/m9.figshare.24894846.v1
title: Data

description: Data used in Castilho and Gawryszewski (2024)
DOI: 10.5683/sp2/sokazp
title: Data on Terrorist Suspects (DOTS) dataset 2016

description: DOTS (Data on Terrorist Suspects) provides textual biographic information on every terrorist covered by the chronology to cover all terrorists, supporters and other individuals mentioned in ITERATE. PLEASE NOTE: Even if the dataset you are reviewing is labeled one year, it may contain information for the following year (eg. DOTS 2016 containing 2017 data).
DOI: 10.5683/sp2/w0tcrg
title: Data on Terrorist Suspects (DOTS) dataset 2018

description: DOTS (Data on Terrorist Suspects) provides textual biographic information on every terrorist covered by the chronology to cover all terrorists, supporters and other individuals mentioned in ITERATE. PLEASE NOTE: Even if the dataset you are reviewing is labeled one year, it may contain information for the following year (eg. DOTS 2018 containing 2019 data).
DOI: 10.5683/sp2/4n7pmn
title: Data on Terrorist Suspects (DOTS) dataset 2019

description: DOTS (Data on Terrorist Suspects) provides textual biographic information on every terrorist covered by the chronology to cover all terrorists, supporters and other individuals mentioned in ITERATE. PLEASE NOTE: Even if the dataset you are reviewing is labeled one year, it may contain information for the following year (eg. DOTS 2019 containing 2020 data).
DOI: 10.5683/sp2/b8acom
title: Data on Terrorist Suspects (DOTS) dataset 2020

description: DOTS (Data on Terrorist Suspects) provides textual biographic information on every terrorist covered by the chronology to cover all terrorists, supporters and other individuals mentioned in ITERATE. PLEASE NOTE: Even if the dataset you are reviewing is labeled one year, it may contain information for the following year (eg. DOTS 2020 containing 2021 data).
DOI: 10.5281/zenodo.10023442
title: Intracranial and behavioral data from "Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex"

description: Preprocessed intracranial EEG and behavioral data from Hoy, Quiroga-Martinez, et al. manuscript titled "Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex" published in Nature Communications (2023). Source data files for figures are included as well.
DOI: 10.5281/zenodo.10023443
title: Intracranial and behavioral data from "Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex"

description: Preprocessed intracranial EEG and behavioral data from Hoy, Quiroga-Martinez, et al. manuscript titled "Asymmetric coding of reward prediction errors in human insula and dorsomedial prefrontal cortex" published in Nature Communications (2023). Source data files for figures are included as well.
DOI: 10.5066/p9fobqnk
title: Isotopic compositions (Sr, Nd, Hf, Pb) of Quaternary volcanic rocks of northern Harrat Rahat, Kingdom of Saudi Arabia

description: Isotopic compositions (87Sr/86Sr, 143Nd/144Nd, 176Hf/177Hf, 206Pb/204Pb, 207Pb/204Pb, 208Pb/204Pb) and major oxide and trace element concentrations of Quaternary basalts, hawaiites, mugearites, benmoreites, and trachytes from northern Harrat Rahat, Kingdom of Saudi Arabia.
DOI: 10.25625/y03yd4/9kerer
title: database HPA activity.tab

description: Data used to estimate HPA axis activity in wild Assamese macaques.
DOI: 10.25625/y03yd4/bi7uny
title: database HPA activity.tab

description: Data used to estimate HPA axis activity in wild Assamese macaques. Submitted to eLife
DOI: 10.25625/y03yd4/tjm3rn
title: database HPA activity.tab

description: Data used to estimate HPA axis activity in wild Assamese macaques. Submitted to eLife
DOI: 10.25625/y03yd4
title: HPA axis activity of Assamese macaques

description: This database contains the data used to estimated HPA axis activity in wild Assamese macaques. The datasets support the research paper: "Early prenatal but not postnatal glucocorticoid exposure is associated with enhanced HPA axis activity into adulthood in a wild primate ".
DOI: 10.25625/y03yd4/ke4stc
title: database HPA activity.tab

description: Data used to estimate HPA axis activity in wild Assamese macaques. Submitted to eLife
DOI: 10.25625/y03yd4/lvghzx
title: database HPA activity - pnas.tab

description: dataset for the manuscript: Early prenatal but not postnatal maternal glucocorticoid exposure is associated with enhanced HPA axis activity into adulthood in a wild primate. Submitted to PNAS
DOI: 10.21227/b0wz-ze38
title: IB2 

description: The purpose of the present study is to examine the influence of big five personality traits viz., extraversion, agreeableness, neuroticism, conscientiousness, openness on impulse buying behaviour of  consumers and investigate the mediating role of shopping enjoyment tendency. Employing structural equation modelling empirical data was collected from 326 consumers in India that revealed a statistically significant impact of four of five personality traits viz., extraversion, agreeableness, neuroticism, conscientiousness. However, openness did not have statistically significant relationship with impulse buying behaviour. The findings of the present study are expected to contribute in the form of offering essential insights to marketers and researchers. The present study stands out among scanty studies conducted on big five personality traits and impulse buying as we have taken shopping enjoyment tendency as mediator variable. This study is conducted in an Indian retail backdrop offering insights on a thriving and potential market of India. The outcomes obtained shall assist Indian retailers in carving marketing strategies as they demystify who are the impulse buyer and what personality traits are prominent in these consumers and accordingly formulate their advertising strategy and in-store strategy.