cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive164526.20230509.8
title: <i>Vibrio</i> <i>chemaguriensis</i> Ghosh <i>et al.</i>

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164527.20230509.8
title: <i>Bifidobacterium</i> <i>castoris</i> Duranti <i>et al.</i> 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164528.20230509.8
title: <i>Bifidobacterium</i> <i>callimiconis</i> Duranti <i>et al.</i> 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164529.20230509.8
title: <i>Bifidobacterium</i> <i>goeldii</i> Duranti <i>et al.</i> 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164530.20230509.8
title: <i>Bifidobacterium</i> <i>samirii</i> Duranti <i>et al.</i> 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164531.20230509.8
title: <i>Bifidobacterium</i> <i>dolichotidis</i> Duranti <i>et al.</i> 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164532.20230509.8
title: <i>Glycomyces</i> <i>buryatensis</i> Nikitina <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164533.20230509.8
title: <i>Nocardioides</i> <i>vastitatis</i> Liu <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164534.20230509.8
title: <i>Steroidobacter</i> <i>agaridevorans</i> Ikenaga <i>et al.</i>

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164535.20230509.8
title: <i>Steroidobacter</i> <i>agaridevorans</i> Ikenaga <i>et al.</i>

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164536.20230509.8
title: <i>Acetobacter</i> <i>oryzoeni</i> Baek <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164537.20230509.8
title: <i>Fluviibacter</i> <i>phosphoraccumulans</i> Watanabe <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.10514970
title: Replication package of article "Screening Articles for Systematic Reviews with ChatGPT"

description: Systematic reviews (SRs) provide valuable evidence for guiding new research directions. However, the manual effort involved in selecting articles for inclusion in an SR is error-prone and time-consuming. While screening articles has traditionally been considered challenging to automate, the advent of large language models offers new possibilities. In this paper, we discuss the effect of using ChatGPT on the SR process. In particular, we investigate the effectiveness of different prompt strategies for automating the article screening process using five real SR datasets. Our results show that ChatGPT can reach up to 82\% accuracy. The best performing prompts specify exclusion criteria and avoid negative shots. However, prompts should be adapted to different corpus characteristics.
DOI: 10.5281/zenodo.10514971
title: Replication package of article "Screening Articles for Systematic Reviews with ChatGPT"

description: Systematic reviews (SRs) provide valuable evidence for guiding new research directions. However, the manual effort involved in selecting articles for inclusion in an SR is error-prone and time-consuming. While screening articles has traditionally been considered challenging to automate, the advent of large language models offers new possibilities. In this paper, we discuss the effect of using ChatGPT on the SR process. In particular, we investigate the effectiveness of different prompt strategies for automating the article screening process using five real SR datasets. Our results show that ChatGPT can reach up to 82\% accuracy. The best performing prompts specify exclusion criteria and avoid negative shots. However, prompts should be adapted to different corpus characteristics.
DOI: 10.13145/bacdive164538.20230509.8
title: <i>Fluviibacter</i> <i>phosphoraccumulans</i> Watanabe <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164539.20230509.8
title: <i>Tsukamurella</i> <i>sputi</i> Teng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164540.20230509.8
title: <i>Tsukamurella</i> <i>asaccharolytica</i> Teng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164541.20230509.8
title: <i>Tsukamurella</i> <i>conjunctivitidis</i> Teng <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164542.20230509.8
title: <i>Lentibacillus</i> <i>cibarius</i> Oh <i>et al.</i> 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164543.20230509.8
title: <i>Lentibacillus</i> <i>cibarius</i> Oh <i>et al.</i> 2021

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164544.20230509.8
title: <i>Arthrobacter</i> <i>mobilis</i> Ye <i>et al.</i> 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive164545.20230509.8
title: <i>Pseudomonas</i> <i>juntendi</i> Tohya <i>et al.</i> 2019

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.25934/pr00006831.2
title: Available IPD datapackage for study 'A RANDOMIZED, MULTICENTER, DOUBLE-BLIND PHASE 3 STUDY OF PD-0332991 (ORAL CDK 4/6 INHIBITOR) PLUS LETROZOLE VERSUS PLACEBO PLUS LETROZOLE FOR THE TREATMENT OF POSTMENOPAUSAL WOMEN WITH ER (+), HER2 (-) BREAST CANCER WHO HAVE NOT RECEIVED ANY PRIOR SYSTEMIC ANTI CANCER TREATMENT FOR ADVANCED DISEASE'

description: The study is designed to compare the clinical benefit following treatment with letrozole in combination with PD-0332991 versus letrozole in combination with placebo in postmenopausal women with ER(+)/HER2(-) advanced breast cancer who have not received prior systemic anti cancer therapies for their advanced/metastatic disease.
DOI: 10.6084/m9.figshare.22249116
title: Lipidomic profiling of the Brazilian yellow scorpion venom: new insights into inflammatory responses following <i>Tityus serrulatus</i> envenomation

description: Due to the high prevalence and clinical relevance, scorpionism is a critical public health issue in several Brazilian regions. <i>Tityus serrulatus</i>, commonly known as the Brazilian yellow scorpion, is the most venomous genus found in Brazilian fauna and associated with severe clinical manifestations such as localized pain, hypertension, sweating, tachycardia and complex hyperinflammatory responses. In general, <i>T. serrulatus</i> venom contains a complex mixture of active compounds, including proteins, peptides, and amino acids. Although knowledge of the protein fractions of scorpion venom is available, venom lipid components are not yet comprehensively known. The aim of the present study was to determine and characterize the lipid constituents/profile of the <i>T. serratus</i> venom utilizing liquid chromatography coupled with high-resolution mass spectrometry. Lipid species (164 in total) belonging to 3 different lipid categories, glycerophospholipids, sphingolipids, and glycerolipids, were identified. A further search on MetaCore/MetaDrug platform, which is based upon a manually curated database of molecular interactions, molecular pathways, gene-disease associations, chemical metabolism, and toxicity information, exhibited several metabolic pathways for 24 of previously identified lipid species, including activation of nuclear factor kappa B and oxidative stress pathways. Further several bioactive compounds, such as plasmalogens, lyso-platelet-activating factors, and sphingomyelins, associated with systemic responses triggered by <i>T. serrulatus</i> envenomation were detected. Finally, lipidomic data presented provide advanced and valuable information to better comprehend the mechanisms underlying the complex pathophysiology induced by <i>T. serrulatus</i> envenomation.
DOI: 10.6084/m9.figshare.22249116.v1
title: Lipidomic profiling of the Brazilian yellow scorpion venom: new insights into inflammatory responses following <i>Tityus serrulatus</i> envenomation

description: Due to the high prevalence and clinical relevance, scorpionism is a critical public health issue in several Brazilian regions. <i>Tityus serrulatus</i>, commonly known as the Brazilian yellow scorpion, is the most venomous genus found in Brazilian fauna and associated with severe clinical manifestations such as localized pain, hypertension, sweating, tachycardia and complex hyperinflammatory responses. In general, <i>T. serrulatus</i> venom contains a complex mixture of active compounds, including proteins, peptides, and amino acids. Although knowledge of the protein fractions of scorpion venom is available, venom lipid components are not yet comprehensively known. The aim of the present study was to determine and characterize the lipid constituents/profile of the <i>T. serratus</i> venom utilizing liquid chromatography coupled with high-resolution mass spectrometry. Lipid species (164 in total) belonging to 3 different lipid categories, glycerophospholipids, sphingolipids, and glycerolipids, were identified. A further search on MetaCore/MetaDrug platform, which is based upon a manually curated database of molecular interactions, molecular pathways, gene-disease associations, chemical metabolism, and toxicity information, exhibited several metabolic pathways for 24 of previously identified lipid species, including activation of nuclear factor kappa B and oxidative stress pathways. Further several bioactive compounds, such as plasmalogens, lyso-platelet-activating factors, and sphingomyelins, associated with systemic responses triggered by <i>T. serrulatus</i> envenomation were detected. Finally, lipidomic data presented provide advanced and valuable information to better comprehend the mechanisms underlying the complex pathophysiology induced by <i>T. serrulatus</i> envenomation.
DOI: 10.6084/m9.figshare.22302853
title: Risperidone response in patients with schizophrenia drives DNA methylation changes in immune and neuronal systems

description: R objects containing: raw and normalized methylation data variable methylation data subset metadata for the analysis <br>
DOI: 10.6084/m9.figshare.22302853.v1
title: Risperidone response in patients with schizophrenia drives DNA methylation changes in immune and neuronal systems

description: R objects containing: raw and normalized methylation data variable methylation data subset metadata for the analysis <br>
DOI: 10.5281/zenodo.7751831
title: Single-cell RNA-seq count data used in differential expression benchmark study

description: Count matrices and meta data tables from simulated and real world immune cell single-cell RNA-seq experiments. All files are in Rds format and can be read by R using "readRDS()". 10k_*: These files contain a filtered version of the 10k Human PBMCs, 3' v3.1 data published by 10x Genomics blueprint_data.Rds: This file contains the bulk RNA-seq data downloaded from BLUEPRINT blueprint_immune_comparisons.Rds: Results from running three bulk RNA-seq differential expression methods sim_data*: These files contain the count matrices and meta data tables for the simulated data. Every file contains a list of 13 replicates.
DOI: 10.5281/zenodo.7751830
title: Single-cell RNA-seq count data used in differential expression benchmark study

description: Count matrices and meta data tables from simulated and real world immune cell single-cell RNA-seq experiments. All files are in Rds format and can be read by R using "readRDS()". 10k_*: These files contain a filtered version of the 10k Human PBMCs, 3' v3.1 data published by 10x Genomics blueprint_data.Rds: This file contains the bulk RNA-seq data downloaded from BLUEPRINT blueprint_immune_comparisons.Rds: Results from running three bulk RNA-seq differential expression methods sim_data*: These files contain the count matrices and meta data tables for the simulated data. Every file contains a list of 13 replicates.
DOI: 10.15468/nrh5g2
title: Check-List of neglected tropical disease datasets published under the BID project

description: Published datasets on Neglected Tropical Diseases have been re-uploaded compiled cleaned up and duplicates removed considering species column to get this single species result
DOI: 10.34740/kaggle/dsv/5200003
title: YouTube Daily
DOI: 10.6084/m9.figshare.22303009
title: GBC_CBC_SBC

description: The data for "A look under the hood of genomic-estimated breed compositions for Brangus cattle: what have we learned?"
DOI: 10.6084/m9.figshare.22303009.v1
title: GBC_CBC_SBC

description: The data for "A look under the hood of genomic-estimated breed compositions for Brangus cattle: what have we learned?"
DOI: 10.25405/data.ncl.21900765
title: Sentiment and topic analysis (supervised classification) of Twitter data about the 5th anniversary of the 2015 Gorkha Earthquake

description: This dataset contains the sentiment and topic analysis at the post level of tweets posted three hours before and three hours after the exact time of the earthquake at Nepal standard time: local time: 11:56:25 and 06:11:25 UTC. This classification was manually done and validated through the 2022 Earthquake Engineering Field Investigation Team (EEFIT) return mission to Nepal.
DOI: 10.25405/data.ncl.21900765.v2
title: Sentiment and topic analysis (Supervised classification) of Twitter data about the 5th anniversary of the 2015 Gorkha Earthquake

description: This dataset contains the sentiment and topic analysis at the post level of tweets posted three hours before and three hours after the exact time of the earthquake at Nepal standard time: local time: 11:56:25 and 06:11:25 UTC. This classification was manually done and validated through the 2022 Earthquake Engineering Field Investigation Team (EEFIT) return mission to Nepal.
DOI: 10.6084/m9.figshare.22303093
title: Supplementary Material for: Higher risk of sarcopenia in older adults with type 2 diabetes: NHANES 1999-2018

description: Introduction: Recent studies suggested that sarcopenia may be a significant comorbidity of diabetes mellitus (DM). Nonetheless, studies with nationally representative data are scarce, and the changing trend of sarcopenia prevalence over time is largely unknown. Therefore, we aimed to estimate and compare the prevalence of sarcopenia in diabetic and non-diabetic United States (US) older population, and to explore the potential predictors of sarcopenia as well as the trend of sarcopenia prevalent in the past decades. Methods: Data was retrieved from the National Health and Nutrition Examination Survey (NHANES). Sarcopenia and DM were defined according to corresponding diagnosis criteria. Weighted prevalence was calculated and compared between diabetic and non-diabetic participants. The differences among age and ethnicity groups were explored. Results: A total of 6381 US adults (&gt;50 years) were involved. The overall prevalence of sarcopenia was 17.8% for US elders, and the prevalence was higher (27.9% vs. 15.7%) in those with diabetes ones than those without. Stepwise regression revealed that sarcopenia was significantly associated with DM (Adjusted odds ratio=1.37, 95%CI: 1.08-1.22; P&lt;0.05) after controlling for potential confounders including gender, age, ethnicity, educational level, BMI and muscle strengthening activity. A slightly fluctuate but overall increasing trend of sarcopenia prevalence was observed among diabetic elders while no obvious changing trend was observed in their counterparts in recent decades. Conclusion: Diabetic US older adults face significantly higher risk of sarcopenia when compared with their non-diabetic counterparts. Gender, age, ethnicity, educational level and obesity were important influencing factors of sarcopenia development.
DOI: 10.5281/zenodo.6786904
title: Code and data for "Two-way coupled shallow ocean-atmosphere model for meteotsunami forecasting"

description: Dataset and code to reproduce the figures found in "Two-way coupled shallow ocean-atmosphere model for meteotsunami forecasting"
DOI: 10.26180/22146428
title: High-contrast imaging data of HD 169142

description: We provide all FITS files presented in "Confirmation and Keplerian motion of the gap-carving protoplanet HD 169142 b" (Hammond et al. 2023, MNRAS). Figures were made using hciplot (https://github.com/carlos-gg/hciplot) and matplotlib pyplot. <br> Update 20/03/23: Corrected 2015 data set
DOI: 10.26180/22146428.v2
title: High-contrast imaging data of HD 169142

description: We provide all FITS files presented in "Confirmation and Keplerian motion of the gap-carving protoplanet HD 169142 b" (Hammond et al. 2023, MNRAS). Figures were made using hciplot (https://github.com/carlos-gg/hciplot) and matplotlib pyplot. <br> Update 20/03/23: Corrected 2015 data set
DOI: 10.26180/22146428.v1
title: High-contrast imaging data of HD 169142

description: We provide all FITS files presented in "Confirmation and Keplerian motion of the gap-carving protoplanet<br> HD 169142 b" (Hammond et al. 2023, MNRAS). Figures were made using hciplot (https://github.com/carlos-gg/hciplot) and matplotlib pyplot
DOI: 10.5281/zenodo.7732781
title: Exposing the CSI - S2

description: This dataset has been used to study a CSI-based activity-recognition framework in the paper "Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations". The dataset is split into several archives, one for each experiment considered in the paper. A description of all the experiments can be found in the paper, together with a map of the lab reporting the location of all the nodes and target positions.
DOI: 10.5281/zenodo.7732780
title: Exposing the CSI - S2

description: This dataset has been used to study a CSI-based activity-recognition framework in the paper "Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations". The dataset is split into several archives, one for each experiment considered in the paper. A description of all the experiments can be found in the paper, together with a map of the lab reporting the location of all the nodes and target positions.
DOI: 10.23729/4ecde6d9-f74f-4f2a-a9a2-0404874deb2c
title: MICA preview

description: The overall objective of the Michigan International Copper Analogue (MICA) project is to understand the rates and mechanisms of copper corrosion in the Keweenaw Peninsula, Michigan, USA. These samples were imaged to understand their internal structure, and linked to a bigger report with multiple methods. Report by Xuan Liu et al. and a peer reviewed publication will be written later. Preview of PAS-dataset https://doi.org/10.23729/5ad510a7-2ebb-42c7-b755-a60a80df40af
DOI: 10.4121/22272247
title: NEESI: Numerical Experiments of Estuarine Salt Intrusion dataset

description: The dataset contains the processed data of 1252 simulations using Delft3D Flexible Mesh (DFM) in which estuaries were designed using a parametric design. Every estuary design is based on thirteen (13) input parameters: three (3) boundary conditions, and ten (10) geomorphological characteristics. The output is represented by two (2) variables: (1) the salt intrusion length, 'L'; and (2) the salt variability, 'V'. Simulations are carried out over a span of nine (9) days of which the first eight (8) are considered spin-up; i.e., one (1) day of the simulation is used for further post-processing. The salt intrusion length is a depth- and tide-averaged estimation of the salt intrusion of this last day; and the salt variability an estimate of the difference between the maximum salinity and the minimum salinity over the tide, depth- and spatially- averaged. The various settings of the simulations are drawn using machine learning techniques.
DOI: 10.4121/4008754b-e1d5-4510-80d2-99604dd06731.v1
title: NEESI: Numerical Experiments of Estuarine Salt Intrusion dataset

description: The dataset contains the processed data of 1252 simulations using Delft3D Flexible Mesh (DFM) in which estuaries were designed using a parametric design. Every estuary design is based on thirteen (13) input parameters: three (3) boundary conditions, and ten (10) geomorphological characteristics. The output is represented by two (2) variables: (1) the salt intrusion length, 'L'; and (2) the salt variability, 'V'. Simulations are carried out over a span of nine (9) days of which the first eight (8) are considered spin-up; i.e., one (1) day of the simulation is used for further post-processing. The salt intrusion length is a depth- and tide-averaged estimation of the salt intrusion of this last day; and the salt variability an estimate of the difference between the maximum salinity and the minimum salinity over the tide, depth- and spatially- averaged. The various settings of the simulations are drawn using machine learning techniques.
DOI: 10.22008/fk2/aaeemn/pebgwr
title: Jordart_200000_v2_beskriv.pdf

description: :unav
DOI: 10.22008/fk2/aaeemn/5zrlzl
title: Surface_Geology_200000_short_description.pdf

description: :unav
DOI: 10.22008/fk2/aaeemn/0mnqy3
title: Surface_Geology_200000_topography.pdf

description: :unav
DOI: 10.22008/fk2/aaeemn/568bbm
title: Jordart_200000_MapInfo.zip

description: :unav
DOI: 10.22008/fk2/aaeemn/zoltel
title: Jordart_200000_Shape.zip

description: :unav
DOI: 10.22008/fk2/aaeemn/xe37bk
title: jordart_200000_topografi.pdf

description: :unav
DOI: 10.6084/m9.figshare.22296982
title: Dataset on spatial scaling in different perceptual modalities

description: Dataset from original study to be published in Scientific Reports. The article is entilted "Effects of scaling direction on adults’ spatial scaling in different perceptual domains"
DOI: 10.6084/m9.figshare.22296982.v2
title: Dataset on spatial scaling in different perceptual modalities

description: Dataset from original study to be published in Scientific Reports. The article is entilted "Effects of scaling direction on adults’ spatial scaling in different perceptual domains"
DOI: 10.6084/m9.figshare.22296982.v1
title: Dataset on spatial scaling in blind participants

description: Dataset from original study to be published in Scientific Reports. The article is entilted "Effects of scaling direction on adults’ spatial scaling in different perceptual domains"