cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18154/rwth-2023-09114
title: Database for Publication "Data driven development of iron-based metallic glasses using artificial neural networks"

description: doi:10.18154/RWTH-2023-09114
description: The file contains the data base for the works of the publication "Data driven development of iron-based metallic glasses using artificial neural networks". The data set contains information on a total of 701 iron-based metallic glass alloys. The data was obtained through a literature search. The original source of the corresponding alloy is listed in the right-hand column "reference". In addition to the alloy composition in at.%, information on the crystallisation, glass transition and liquidus temperature, the critical thickness, the heating rate at which the dynamic differential calorimetry was carried out, and the manufacturing process are given, if available. Using this database, regression models and low-level machine learning algorithms can be trained to predict alloy properties based on chemical composition.
DOI: 10.21227/3ajx-4z98
title: a Hair Follicle Growth Association Gene Dataset

description: Accurate knowledge of key genes that promote hair follicle growth and development is of great value in the field of hair research and dermatology. Compared with the traditional time-consuming and laborious experimental methods for obtaining key genes, the literature mining method can extract proven key genes for hair follicle growth from the vast amount of literature more quickly and comprehensively, i.e., perform the tasks of Named Entity Recognition (NER) and Relationship Extraction (RE) of related entities. However, this method has been less researched in the field related to hair follicle growth and lacks standardized annotated datasets for training models and targeted gene extraction models. To address the above issues, this thesis creates the first labeled corpus containing 500 literature abstracts, and proposes a NER model based on fusion of contextual features (HFNER-FCF) and a hair follicle-gene RE model based on modified fine-tuning mechanism (HFGRE-MFM), respectively, in order to solve the entity similarity problem in hair follicle NER and to achieve a comprehensive learning of relational features in RE. thereby effectively extracting hair follicle growth-associated genes. Our model obtained 88.71% and 89.95% F-scores in two major tasks, respectively.In addition, applying the model to unlabeled literature, the first hair follicle growth-associated gene dataset (HFGAG) generated based on automated literature mining was obtained. This dataset will provide a valuable resource for the study of hair follicle development, regulation and treatment of related diseases. More importantly, the dataset construction method in this paper is universal and can provide reference for other biomedical research fields.
DOI: 10.21335/nmdc-1026312149
title: Norwegian West Coast OA Timeseries 2023

description: Ocean acidification timeseries of full water depth stations at the Norwegian west coast. Discrete samples of inorganic carbon (DIC), alkalinity (TA), nutrients, and hydrography. The data are collected during the period January 2022 to December 2022 and the data represent a continuation of timeseries started in 2007. The research vessel Hans Brattstrøm has been used to collect water samples. Chemical data are analysed from bottle samples, while hydrography are sampled using ctd instrument.
DOI: 10.25345/c5zw1936h
title: MassIVE MSV000093655 - European River Monitoring Study
title: River water collected across 31 European countries with 45 participating research laboratories. Between 3 to 16 rivers and creeks sampled in each country during the spring period March-April 2023. Samples frozen and shipped for nontarget analysis at Aarhus University, Denmark. River water samples were cleaned and enriched 30 times using hydrophilic-lipophillic balanced (HLB) solid-phase extraction and analyzed using nanoLC-nanoelectrospray-HRMS/MS.
DOI: 10.15161/oar.it/143504
title: Carta Geologica d'Italia alla scala 1:50.000, F. 348 Antrodoco

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 2004 e il 2015) comprensivo di legenda, schemi a cornice, sezioni geologiche.
description: Questa versione sostituisce la versione 1, correggendo alcuni refusi.
DOI: 10.15161/oar.it/75553
title: Carta Geologica d'Italia alla scala 1:50.000, F. 348 Antrodoco

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 2004 e il 2015) comprensivo di legenda, schemi a cornice, sezioni geologiche.
description: Questa versione sostituisce la versione 1, correggendo alcuni refusi.
DOI: 10.15161/oar.it/75554
title: Carta Geologica d'Italia alla scala 1:50.000, F. 348 Antrodoco

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 2004 e il 2015) comprensivo di legenda, schemi a cornice, sezioni geologiche.
description: Questa versione, che contiene dei refusi, è stata sostituita dalla versione 2
DOI: 10.21335/nmdc-1119031452
title: Marine CO2 and inorganic nutrients: Arendal coastal station VT5 2022

description: Monthly sampling of carbonate chemistry (total dissolved inorganic carbon and total alkalinity) in the water column to investigate seasonal, interannual variability and trends in ocean acidification state such as pH and calcium carbonate saturation. The monthly sampling started in year 2015. This is part of the program "Monitoring ocean acidification in Norwegian waters" funded by the Norwegian Environment Agency and Institute of Marine Research.
DOI: 10.5281/zenodo.8276786
title: 2D high-resolution synthetic MR images of Alzheimer's patients and healthy subjects using PACGAN

description: This dataset encompasses a NIfTI file containing a collection of 500 images, each capturing the central axial slice of a synthetic brain MRI. 


Accompanying this file is a CSV dataset that serves as a repository for the corresponding labels linked to each image:



	
Label 0: Healthy Controls (HC)
	
Label 1: Alzheimer's Disease (AD)



 


Each image within this dataset has been generated by PACGAN (Progressive Auxiliary Classifier Generative Adversarial Network), a framework designed and implemented by the AI for Medicine Research Group at the University of Bologna.


PACGAN is a generative adversarial network trained to generate high-resolution images belonging to different classes. In our work, we trained this framework on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset, which contains brain MRI images of AD patients and HC.


The implementation of the training algorithm can be found within our GitHub repository, with Docker containerization.


For further exploration, the pre-trained models are available within the Code Ocean capsule. These models can facilitate the generation of synthetic images for both classes and also aid in classifying new brain MRI images.
DOI: 10.6084/m9.figshare.24499936.v4
title: <b>Multiple Parameter Identification and Modeling of The Inner Boundary of Plasmasphere</b>

description: These data for Figures 1 - 4 and S1 - S3 in the paper "<b>Multiple Parameter Identification and Modeling of The Inner Boundary of Plasmasphere</b>".
DOI: 10.5281/zenodo.8276785
title: 2D high-resolution synthetic MR images of Alzheimer's patients and healthy subjects using PACGAN

description: This dataset encompasses a NIfTI file containing a collection of 500 images, each capturing the central axial slice of a synthetic brain MRI. 


Accompanying this file is a CSV dataset that serves as a repository for the corresponding labels linked to each image:



	
Label 0: Healthy Controls (HC)
	
Label 1: Alzheimer's Disease (AD)



 


Each image within this dataset has been generated by PACGAN (Progressive Auxiliary Classifier Generative Adversarial Network), a framework designed and implemented by the AI for Medicine Research Group at the University of Bologna.


PACGAN is a generative adversarial network trained to generate high-resolution images belonging to different classes. In our work, we trained this framework on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset, which contains brain MRI images of AD patients and HC.


The implementation of the training algorithm can be found within our GitHub repository, with Docker containerization.


For further exploration, the pre-trained models are available within the Code Ocean capsule. These models can facilitate the generation of synthetic images for both classes and also aid in classifying new brain MRI images.
DOI: 10.21335/nmdc-631486493
title: Marine CO2 and inorganic nutrients: Barentshav section 2022

description: Marine CO2 system data (total alkalinity, total dissolved inorganic carbon) were collected from the full water column on the IMR repeat section Barentshav in the Barents Sea. Sampling was performed on cruise onboard RV G.O. Sars in September (cruise 2022110) and RV Johan Hjort in October 2022 (cruise 2022210). This study is a contribution to the project 'Monitoring ocean acidification in Norwegian waters/Havforsuringsovervåking i norske farvann' funded by the Norwegian Environment Agency (Miljødirektoratet) project #17078007.
DOI: 10.17028/rd.lboro.22940495.v1
title: Higher level domain specific skills in mathematics; the relationship between algebra, geometry, executive function skills and mathematics achievement: Data file

description: Dataset to accompany the article "Higher level domain specific skills in mathematics; the relationship between algebra, geometry, executive function skills and mathematics achievement"
DOI: 10.17028/rd.lboro.22940495.v2
title: Higher level domain specific skills in mathematics; the relationship between algebra, geometry, executive function skills and mathematics achievement: Data file

description: Dataset to accompany the article "Higher level domain specific skills in mathematics; the relationship between algebra, geometry, executive function skills and mathematics achievement"
DOI: 10.17028/rd.lboro.22940495
title: Higher level domain specific skills in mathematics; the relationship between algebra, geometry, executive function skills and mathematics achievement: Data file

description: Dataset to accompany the article "Higher level domain specific skills in mathematics; the relationship between algebra, geometry, executive function skills and mathematics achievement"
DOI: 10.26093/cds/aladin/3cdz-t36
title: HLA-I : F814W, F791W, F785LP and F775W HiPS

description: The HST-HLA Hierarchical Progressive Survey (HiPS) has been built by Daniel Durand from CADC and distributed by CDS. It sets together all HST observations done in F814W, F791W, F785LP and F775W filters between the beginning of the mission to the 4th of October 2014.The Hubble Space Telescope (HST) is a cooperative program of the European Space Agency (ESA) and the National Aeronautics and Space Administration (NASA) to operate a space-based observatory for the benefit of the international astronomical community. The Hubble Legacy Archive (HLA) is designed to optimize science from the Hubble Space Telescope by providing online, enhanced Hubble products and advanced browsing capabilities. The HLA is a joint project of the Space Telescope Science Institute (STScI), the Space Telescope European Coordinating Facility (ST-ECF), and the Canadian Astronomy Data Centre (CADC). Currently we have enhanced image products for ACS, WFPC2, WFC3, and NICMOS, extracted spectra from NICMOS and ACS grism observations. The enhanced data products were generated from the standard HST pipeline products. The ACS, WFPC2, and WFC3, and NICMOS images have been combined using MultiDrizzle, are aligned north up , and, except for WFC3, have been astrometrically corrected when possible (for approximately 80% of the cases). All HLA-produced images are in units of electrons/second, which for WFPC2 and NICMOS differs from calibration pipeline products; photometric zeropoints must be adjusted to reflect the units used.
DOI: 10.6084/m9.figshare.24798618.v1
title: Appendix B - Positionality Statements

description: This document contains positionality statements of all authors.
DOI: 10.26180/24769506
title: Figure 6

description: Raw data behind figure 6 in the manuscript<i>HMGCS1</i><i> </i>variants cause rigid spine syndrome amenable to mevalonic acid treatment in an animal model
DOI: 10.26180/24769506.v1
title: Figure 6

description: Raw data behind figure 6 in the manuscript<i>HMGCS1</i><i> </i>variants cause rigid spine syndrome amenable to mevalonic acid treatment in an animal model
DOI: 10.26180/24769515
title: Figure 7

description: Raw data and statistical files for Figure 7 in the manuscript<i>HMGCS1</i><i> </i>variants cause rigid spine syndrome amenable to mevalonic acid treatment in an animal model
DOI: 10.26180/24769515.v1
title: Figure 7

description: Raw data and statistical files for Figure 7 in the manuscript<i>HMGCS1</i><i> </i>variants cause rigid spine syndrome amenable to mevalonic acid treatment in an animal model
DOI: 10.21335/nmdc-499778110
title: Marine CO2 and inorganic nutrients: Fugløya-Bjørnøya section 2022

description: Marine CO2 system data (total alkalinity, total dissolved inorganic carbon) were collected from the full water column on the IMR repeat section Fugløya-Bjørnøya in the Barents Sea. Sampling was performed on cruise onboard RV Kristine Bonnevie in March 2022 (cruise 2022606). This study is a contribution to the project 'Monitoring ocean acidification in Norwegian waters/Havforsuringsovervåking i norske farvann' funded by the Norwegian Environment Agency (Miljødirektoratet) project #17078007.
DOI: 10.5281/zenodo.10353508
title: Redistribution of the Natura 2000 habitat map of Flanders, partim habitat type 3260 (version 2023)

description: This is a redistribution of a subdataset of the data source 'Biologische Waarderingskaart en Natura 2000 Habitatkaart - Toestand 2023', originally published by the Research Institute for Nature and Forest (INBO) and distributed by 'Digitaal Vlaanderen' under a CC-BY compatible license. It is redistributed for reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes.
The subdataset is a shapefile of line segments of the Natura 2000 habitat type 3260 (Watercourses of plain to montane levels with the Ranunculion fluitantis and Callitricho-Batrachion vegetation) that correspond with its presence in watercourses in the Flemish Region, identical to the shapefile Hab3260 in the original data source.
The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).
description: This is a redistribution of data originally published by 'Digitaal Vlaanderen'.
DOI: 10.5281/zenodo.3386245
title: Redistribution of the Natura 2000 habitat map of Flanders, partim habitat type 3260 (version 2023)

description: This is a redistribution of a subdataset of the data source 'Biologische Waarderingskaart en Natura 2000 Habitatkaart - Toestand 2023', originally published by the Research Institute for Nature and Forest (INBO) and distributed by 'Digitaal Vlaanderen' under a CC-BY compatible license. It is redistributed for reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes.
The subdataset is a shapefile of line segments of the Natura 2000 habitat type 3260 (Watercourses of plain to montane levels with the Ranunculion fluitantis and Callitricho-Batrachion vegetation) that correspond with its presence in watercourses in the Flemish Region, identical to the shapefile Hab3260 in the original data source.
The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).
description: This is a redistribution of data originally published by 'Digitaal Vlaanderen'.
DOI: 10.5281/zenodo.4420858
title: Redistribution of the Natura 2000 habitat map of Flanders, partim habitat type 3260 (version 1.7)

description: This is a redistribution of a subdataset of the data source 'Biologische Waarderingskaart en Natura 2000 Habitatkaart - Toestand 2020', originally published by the Research Institute for Nature and Forest (INBO) and distributed by 'Informatie Vlaanderen' under a CC-BY compatible license. It is redistributed for reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes. The subdataset is a shapefile of line segments of the Natura 2000 habitat type 3260 (Watercourses of plain to montane levels with the <em>Ranunculion fluitantis</em> and <em>Callitricho-Batrachion</em> vegetation) that correspond with its presence in watercourses in the Flemish Region, identical to the shapefile <code>Hab3260</code> in the original data source. The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).
description: This is a redistribution of data originally published by 'Informatie Vlaanderen'.
description: {"references": ["Leyssen, A., Smeekens, V., & Denys, L. (2020). Indicatieve situering van het Natura 2000 habitattype 3260: Submontane en laaglandrivieren met vegetaties behorend tot het Ranunculion fluitantis en het Callitricho-Batrachion. Uitgave 2020 (versie 1.7). Rapporten van het Instituut voor Natuur- en Bosonderzoek 2020 (34). Instituut voor Natuur- en Bosonderzoek, Brussel. https://doi.org/10.21436/inbor.18903609"]}
DOI: 10.5281/zenodo.10354963
title: Phenotype-specific gene expression signature in unmutated sALS patients' peripheral blood

description: The database includes the raw data of the article "Phenotype-specific gene expression signature in unmutated sALS patients' peripheral blood". Aim of this work was to define the transcriptomic signature of distinct ALS phenotypes, and to use this information for biomarkers development. We characterized n=48 sALS patients by clinical and paraclinical parameteres, and subdivided them in "Classic" (n=12), "Bulbar" (n=10), "Flail Arm" (n=7), "Flail Leg" (n=10) and "Pyramidal" (n=9) phenotypes. RNAs extracted from PBMCs isolated from patients and n=19 controls were sequenced. Our analysis allowed the visualization of gene expression clusters between patients and controls, except for "Flail Arm" group. Only one gene (Y-RNA, a misc_RNA component of the Ro60 ribonucleoprotein involved in cellular response to interferon-alpha) was upregulated at different levels across all phenotypes, whereas the other genes appeared to be more phenotype-specific. Taken together, our results indicate both the specificity of gene expression for each phenotype, and the presence of a shared altered transcript able to distinguish the analyzed phenotypes. Future goal is to determine a 'Y-RNA signature' in plasma and a multi-parametric prognostic score that could represent a simple and fast element for early diagnosis and discrimination among sALS phenotypes.
DOI: 10.5281/zenodo.10354964
title: Phenotype-specific gene expression signature in unmutated sALS patients' peripheral blood

description: The database includes the raw data of the article "Phenotype-specific gene expression signature in unmutated sALS patients' peripheral blood". Aim of this work was to define the transcriptomic signature of distinct ALS phenotypes, and to use this information for biomarkers development. We characterized n=48 sALS patients by clinical and paraclinical parameteres, and subdivided them in "Classic" (n=12), "Bulbar" (n=10), "Flail Arm" (n=7), "Flail Leg" (n=10) and "Pyramidal" (n=9) phenotypes. RNAs extracted from PBMCs isolated from patients and n=19 controls were sequenced. Our analysis allowed the visualization of gene expression clusters between patients and controls, except for "Flail Arm" group. Only one gene (Y-RNA, a misc_RNA component of the Ro60 ribonucleoprotein involved in cellular response to interferon-alpha) was upregulated at different levels across all phenotypes, whereas the other genes appeared to be more phenotype-specific. Taken together, our results indicate both the specificity of gene expression for each phenotype, and the presence of a shared altered transcript able to distinguish the analyzed phenotypes. Future goal is to determine a 'Y-RNA signature' in plasma and a multi-parametric prognostic score that could represent a simple and fast element for early diagnosis and discrimination among sALS phenotypes.
DOI: 10.21335/nmdc-2104123211
title: Marine CO2 and inorganic nutrients: Skrova coastal station VT29 2022

description: Monthly sampling of carbonate chemistry (total dissolved inorganic carbon and total alkalinity) in the water column to investigate seasonal, interannual variability and trends in ocean acidification state such as pH and calcium carbonate saturation. The analyses The monthly sampling started in year 2015. This is part of the program "Monitoring ocean acidification in Norwegian waters" funded by the Norwegian Environment Agency and Institute of Marine Research.
DOI: 10.26093/cds/aladin/10xd-eew
title: HLA-J : F140W, F125W, F125LP and F115LP HiPS

description: The HST-HLA Hierarchical Progressive Survey (HiPS) has been built by Daniel Durand from CADC and distributed by CDS. It sets together all HST observations done in F140W, F125W, F125LP and F115LP filters between the beginning of the mission to the 4th of October 2014.The Hubble Space Telescope (HST) is a cooperative program of the European Space Agency (ESA) and the National Aeronautics and Space Administration (NASA) to operate a space-based observatory for the benefit of the international astronomical community. The Hubble Legacy Archive (HLA) is designed to optimize science from the Hubble Space Telescope by providing online, enhanced Hubble products and advanced browsing capabilities. The HLA is a joint project of the Space Telescope Science Institute (STScI), the Space Telescope European Coordinating Facility (ST-ECF), and the Canadian Astronomy Data Centre (CADC). Currently we have enhanced image products for ACS, WFPC2, WFC3, and NICMOS, extracted spectra from NICMOS and ACS grism observations. The enhanced data products were generated from the standard HST pipeline products. The ACS, WFPC2, and WFC3, and NICMOS images have been combined using MultiDrizzle, are aligned north up , and, except for WFC3, have been astrometrically corrected when possible (for approximately 80% of the cases). All HLA-produced images are in units of electrons/second, which for WFPC2 and NICMOS differs from calibration pipeline products; photometric zeropoints must be adjusted to reflect the units used.
DOI: 10.6084/m9.figshare.22808905.v1
title: Association between ABO blood groups and preeclampsia

description: To determine the association between the ABO blood group and preeclampsia. This is a case-control study that included patients with (<i>n</i> = 253) and without (<i>n</i> = 457) preeclampsia/eclampsia in Northeastern Mexico. Data were obtained from electronic medical records. Binary multiple logistic regression analysis was used for analyzing the association between the ABO blood group and preeclampsia according to parity status while adjusting for potential confounders. Blood groups A, B, and AB showed adjusted odds ratios of 0.6 (95%CI 0.3-1.0), 1.1 (95%CI 0.6-2.2), and 0.3 (95%CI 0.1-1.1) in multiparous women, respectively. No association was found in nulliparous women either. ABO blood groups were not associated with preeclampsia in Mexican women.