cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21864249.v1
title: Supplementary Material for: Challenges in the management of a 7 years old child with thyrotropin-secreting pituitary adenoma and the review of the literature

description: Introduction: Thyrotropin-producing pituitary adenoma (TSHoma) is a very rare disease, representing less than 1% of the pituitary tumours, present with elevated thyroid hormones and normal/high TSH concentrations. Case Presentation: A 7-year-old boy with nervousness was referred by his psychiatrist for elevated free T4, T3 and TSH levels. Initial evaluation revealed an elevated -subunit.Pituitary MRI demonstrated a macroadenoma. The patient underwent a trans-sphenoidal tumour resection (TSS) which showed positive immunohistochemical staining for TSH, growth hormone, and prolactin in tumoral tissue. Euthyroidism was achieved for one year after TSS, then, recurrence of tumour with elevated TSH and thyroid hormone levels necessitated a re-operation with TSS followed by gamma-knife radiosurgery. The euthyroid state was achieved and lasted for 2.5 years this time, but, due to the recurrence, medical treatment had been commenced with cabergoline and octreotide. Euthyroidism was maintained for the last 4 years on monthly octreotide treatment. A repeat MRI demonstrated no pituitary mass but a mass in the sphenoidal sinus had been detected. Removal of this mass by surgery did not achieve euthyroidism. 68Ga-DOTA-TATE PET/CT showed residual tissue extending from the pituitary region to the sphenoid sinus. The patient’s bone age was advanced 2 years at diagnosis which became 4 years in one year after the diagnosis and remained so throughout follow-up, leading to a final height of -3.3 SDS below his target height at the age of 16 years. Conclusion: The diagnosis, treatment, and follow-up of TSHomas are challenging and short stature due to accelerated bone maturation is a complication of paediatric TSHomas.
DOI: 10.5281/zenodo.7752898
title: Supplementary Material - All Eyes on Traceability

description: This PDF presents the interview questions used for the semi-structured interview of the paper "All Eyes on Traceability: An Interview Study on Industry Practices and Eye Tracking Potential".
DOI: 10.5281/zenodo.7752897
title: Supplementary Material - All Eyes on Traceability

description: This PDF presents the interview questions used for the semi-structured interview of the paper "All Eyes on Traceability: An Interview Study on Industry Practices and Eye Tracking Potential".
DOI: 10.48366/r576873
title: Benchmark describing the datasets used in the papers related to Neural-symbolic research

description: The current version of this comparison contains two papers presenting the datasets (image dataset and recommendation dataset) used by the authors in their papers. In future work, we will add all the datasets used in the papers published by the NeSy workshop in order to have a global view of the different datasets that are used by this community.
DOI: 10.5281/zenodo.7746143
title: Underwater Curtains Route Analysis

description: This dataset contains the results of the route analysis presented in Wolovick et al., 2023. There are four curtain routes discussed in the paper: T2, T3, IB, and OB. T2, T3, and IB can be grouped together into a combined proximal route. We include two spreadsheets, CurtainRoutes.xlsx and CurtainStats.xlsx. Each file contains four sheets, one for each route. The Routes file contains the coordinates and bathymetry of the curtain routes, while the Stats file contains statistical summaries (including cost and benefit functions described in the paper) for each route as a function of target blocking depth. Contents of the route file: 1) X/Y coordinates of the curtain route, given in the standard Antarctic stereographic projection (origin at the South Pole, latitude of true scale at 71S, Y-axis aligned with prime meridian). 2) Depth of the seabed along the route at the same set of points. 3) Data quality at the same set of points (a number from 0-1 indicating the relative weight of nearby multibeam data in computing the depth data). Contents of the stats file: 1) Blocking depth. Vector of potential blocking depths, from 200m to 700m. All other stats are functions of the blocking depth. 2) Curtain length (km). Unweighted length of curtain required for each blocking depth. 3) Mean sea depth (m). Mean seabed depth for curtain route segments deeper than the blocking depth. 4) Mean height (m). Mean height above the seabed for the curtain route. 5) Max height (m) Maximum height above the seabed for the curtain route. 6) Data quality (fraction MB). Mean bathymetric quality for seabed below the blocking depth along the curtain route. Number from 0-1 indicating relative weight of nearby multibeam data. 7) Curtain height cost function term. C_H in the manuscript; units= weighted km. 8) Foundation depth cost function term. C_D in the manuscript; units=weighted km. 9) Iceberg cost function term. C_B in the manuscript; units=weighted km. 10) Combined cost function. C in the manuscript, weighted sum of columns 7-9 (weights = 0.5, 0.25, 0.25). 11) Thermal forcing (deg C). Thermal forcing at target blocking depth. 12) Thermal forcing reduction (deg C). Difference between (11) and TF at 700m (except for OB, which has a maximum depth of 680 m). 13) Benefit function. Column 12 multiplied by a route-specific weight discussed in the manuscript (weights: T2=T3=0.25, IB=1.29, OB=1.88). 14) Value ratio. Ratio of column 13 over column 10, given in units of deg C per 100 km. Note that a stabilizer of 1 km has been added to the denominator when computing the ratio.
DOI: 10.5281/zenodo.7746142
title: Underwater Curtains Route Analysis

description: This dataset contains the results of the route analysis presented in Wolovick et al., 2023. There are four curtain routes discussed in the paper: T2, T3, IB, and OB. T2, T3, and IB can be grouped together into a combined proximal route. We include two spreadsheets, CurtainRoutes.xlsx and CurtainStats.xlsx. Each file contains four sheets, one for each route. The Routes file contains the coordinates and bathymetry of the curtain routes, while the Stats file contains statistical summaries (including cost and benefit functions described in the paper) for each route as a function of target blocking depth. Contents of the route file: 1) X/Y coordinates of the curtain route, given in the standard Antarctic stereographic projection (origin at the South Pole, latitude of true scale at 71S, Y-axis aligned with prime meridian). 2) Depth of the seabed along the route at the same set of points. 3) Data quality at the same set of points (a number from 0-1 indicating the relative weight of nearby multibeam data in computing the depth data). Contents of the stats file: 1) Blocking depth. Vector of potential blocking depths, from 200m to 700m. All other stats are functions of the blocking depth. 2) Curtain length (km). Unweighted length of curtain required for each blocking depth. 3) Mean sea depth (m). Mean seabed depth for curtain route segments deeper than the blocking depth. 4) Mean height (m). Mean height above the seabed for the curtain route. 5) Max height (m) Maximum height above the seabed for the curtain route. 6) Data quality (fraction MB). Mean bathymetric quality for seabed below the blocking depth along the curtain route. Number from 0-1 indicating relative weight of nearby multibeam data. 7) Curtain height cost function term. C_H in the manuscript; units= weighted km. 8) Foundation depth cost function term. C_D in the manuscript; units=weighted km. 9) Iceberg cost function term. C_B in the manuscript; units=weighted km. 10) Combined cost function. C in the manuscript, weighted sum of columns 7-9 (weights = 0.5, 0.25, 0.25). 11) Thermal forcing (deg C). Thermal forcing at target blocking depth. 12) Thermal forcing reduction (deg C). Difference between (11) and TF at 700m (except for OB, which has a maximum depth of 680 m). 13) Benefit function. Column 12 multiplied by a route-specific weight discussed in the manuscript (weights: T2=T3=0.25, IB=1.29, OB=1.88). 14) Value ratio. Ratio of column 13 over column 10, given in units of deg C per 100 km. Note that a stabilizer of 1 km has been added to the denominator when computing the ratio.
DOI: 10.6084/m9.figshare.19726798.v1
title: HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy - GEOCHEM data

description: GEOCHEM (GCH) contains 28 samples with 4 measurements each. Except for three samples (GCH-0023, GCH-0027, and GCH-0028) with 2 measurements each. It has 25 variables available for each sample, and particle sizes: "coarse" and "fine".
DOI: 10.6084/m9.figshare.19726798
title: HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy - GEOCHEM data

description: GEOCHEM (GCH) contains 28 samples with 4 measurements each. Except for three samples (GCH-0023, GCH-0027, and GCH-0028) with 2 measurements each. It has 25 variables available for each sample, and particle sizes: "coarse" and "fine".
DOI: 10.6084/m9.figshare.19726801
title: HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy - MINERAL2 data

description: MINERAL2 (M2) contains 20 samples with 1 measurements each. It has 25 variables available
DOI: 10.6084/m9.figshare.19726801.v1
title: HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy - MINERAL2 data

description: MINERAL2 (M2) contains 20 samples with 1 measurements each. It has 25 variables available
DOI: 10.6084/m9.figshare.19726804
title: HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy - MINERAL1 data

description: MINERAL1 (M1) contains 99 samples with 1 measurements each. Particle size “fine” contains 12 samples for each of the three processes, particle size “coarse” contains 12 samples per process, and particle size “mixed” contains 9 samples per process. Additionally, there are 33 variables available.
DOI: 10.6084/m9.figshare.19726807
title: HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy - GEOMET data

description: GEOMET (GMET) contains 146 samples with 1 measurements each. Contains 5 geometallurgical variables.
DOI: 10.6084/m9.figshare.19726822
title: HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy - PORPHYRY data

description: PORPHYRY (POR) contains 28 samples with 2 measurements each. It has 10 variables available and particle sizes: "coarse" and "fine"
DOI: 10.6084/m9.figshare.19726822.v1
title: HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy - PORPHYRY data

description: PORPHYRY (POR) contains 28 samples with 2 measurements each. It has 10 variables available and particle sizes: "coarse" and "fine"
DOI: 10.6084/m9.figshare.21931602
title: raw data

description: uploaded are raw data of eDNA and microsatellite analyses and landmarks used in morphometric analyses. For detailed information see XXX.
DOI: 10.5281/zenodo.7752977
title: SciExpeM - 10.5281/zenodo.7752977

description: Jin, Hanfeng ; Hao, Junyu; Yang, Jiuzhong; Guo, Junjun; Zhang, Yan; Cao, ChuangChuang; Farooq, Aamir - Combustion and Flame, 2021
DOI: 10.5281/zenodo.7752976
title: SciExpeM - 10.5281/zenodo.7752977

description: Jin, Hanfeng ; Hao, Junyu; Yang, Jiuzhong; Guo, Junjun; Zhang, Yan; Cao, ChuangChuang; Farooq, Aamir - Combustion and Flame, 2021
DOI: 10.5281/zenodo.7752979
title: SciExpeM - 10.5281/zenodo.7752979

description: Oßwald et al. Fuel (302) 2021, 120735
DOI: 10.5281/zenodo.7752978
title: SciExpeM - 10.5281/zenodo.7752979

description: Oßwald et al. Fuel (302) 2021, 120735
DOI: 10.6084/m9.figshare.20155127.v5
title: The redox state of incipient oceanic subduction zones: An example from the Troodos ophiolite (Cyprus)

description: Supplementary documents of a paper submitted to JGR-Solid Earth
DOI: 10.6084/m9.figshare.22302616
title: all-Count-meta.Rdata

description: The single cell RNA sequencing of fetal and adult
DOI: 10.5281/zenodo.7753055
title: SciExpeM - 10.5281/zenodo.7753055

description: Oßwald et al. Fuel (302) 2021, 120735
DOI: 10.5281/zenodo.7753054
title: SciExpeM - 10.5281/zenodo.7753055

description: Oßwald et al. Fuel (302) 2021, 120735
DOI: 10.5281/zenodo.7752870
title: Oxidized_CNC

description: Oxidized CNC MD results
DOI: 10.5281/zenodo.7752869
title: Oxidized_CNC

description: Oxidized CNC MD results
DOI: 10.5281/zenodo.7573408
title: VABB-SHW: Dataset of Flemish Academic Bibliography for the Social Sciences and Humanities (edition 12)

description: This dataset contains the twelfth edition of the <em>Flemish Academic Bibliography for the Social Sciences and Humanities (VABB-SHW)</em>, a database of academic publications from the social sciences and humanities authored by researchers affiliated to Flemish universities (more information). Publications in the database are used as one of the parameters of the Flemish performance-based research funding system. Only approved publications are included in this dataset.
DOI: 10.5281/zenodo.7573407
title: VABB-SHW: Dataset of Flemish Academic Bibliography for the Social Sciences and Humanities (edition 12)

description: This dataset contains the twelfth edition of the <em>Flemish Academic Bibliography for the Social Sciences and Humanities (VABB-SHW)</em>, a database of academic publications from the social sciences and humanities authored by researchers affiliated to Flemish universities (more information). Publications in the database are used as one of the parameters of the Flemish performance-based research funding system. Only approved publications are included in this dataset.
DOI: 10.5281/zenodo.7261282
title: Investigating sediment supply impact on centennial saltmarsh biogeomorphic development with Demeter

description: This repository contains a series of simulations to investigate the impact of (changing) sediment supply on the long-term biogeomorphic development (200 years) of saltmarshes (4 km<sup>2</sup>). The model used is Demeter (https://doi.org/10.5281/zenodo.7101535). Each simulation output file contains: yearly bottom elevation maps (resolution of 5 m); yearly vegetation coverage maps (resolution of 5 m); yearly hydroperiod maps (resolution of 5 m); yearly exceeding bottom shear impulse maps (resolution of 5 m); vegetation distribution maps every 5 years (resolution of 50 cm). Each simulation is also processed to compute channel network characteristics with TidalGeoPro (https://doi.org/10.5281/zenodo.7153257), such as: maximum upstream channel length along channel network skeleton every 20 years (resolution of 5 m); total upstream channel length within tidal watershed along channel network skeleton every 20 years (resolution of 5 m); tidal watershed surface area along channel network skeleton every 20 years (resolution of 5 m); mean unchanneled path length within tidal watershed along channel network skeleton every 20 years (resolution of 5 m); channel cross-section width, depth and area along channel network skeleton every 20 years (resolution of 5 m); yearly unchanneled path length maps (resolution of 5 m). If you are interested to use this dataset, or collaborate with the authors, please contact Olivier Gourgue (ogourgue@gmail.com).
description: Other funding: Research Foundation – Flanders (FWO), fundamental research project, Grant no. G031620N.
DOI: 10.5281/zenodo.7261283
title: Investigating sediment supply impact on centennial saltmarsh biogeomorphic development with Demeter

description: This repository contains a series of simulations to investigate the impact of (changing) sediment supply on the long-term biogeomorphic development (200 years) of saltmarshes (4 km<sup>2</sup>). The model used is Demeter (https://doi.org/10.5281/zenodo.7101535). Each simulation output file contains: yearly bottom elevation maps (resolution of 5 m); yearly vegetation coverage maps (resolution of 5 m); yearly hydroperiod maps (resolution of 5 m); yearly exceeding bottom shear impulse maps (resolution of 5 m); vegetation distribution maps every 5 years (resolution of 50 cm). Each simulation is also processed to compute channel network characteristics with TidalGeoPro (https://doi.org/10.5281/zenodo.7153257), such as: maximum upstream channel length along channel network skeleton every 20 years (resolution of 5 m); total upstream channel length within tidal watershed along channel network skeleton every 20 years (resolution of 5 m); tidal watershed surface area along channel network skeleton every 20 years (resolution of 5 m); mean unchanneled path length within tidal watershed along channel network skeleton every 20 years (resolution of 5 m); channel cross-section width, depth and area along channel network skeleton every 20 years (resolution of 5 m); yearly unchanneled path length maps (resolution of 5 m). If you are interested to use this dataset, or collaborate with the authors, please contact Olivier Gourgue (ogourgue@gmail.com).
description: Other funding: Research Foundation – Flanders (FWO), fundamental research project, Grant no. G031620N.
DOI: 10.25318/1510000401-eng
title: Population by knowledge of official languages and geography, 1951 to 2021

description: Data on the knowledge of official languages by the population of Canada and Canada outside Quebec, and of all provinces and territories, for Census years 1951 to 2021.
DOI: 10.17043/oden-ryder-2019-sediment-detlef-lincoln-sea-1
title: Sea-ice biomarkers and total organic carbon from sediment of Holocene age collected in the southern Lincoln Sea in 2019
DOI: 10.25318/1510000401-fra
title: Population selon la connaissance des langues officielles et la géographie, 1951 à 2021

description: Données sur la connaissance des langues officielles par la population du Canada et du Canada hors Québec, et de toutes les provinces et tous les territoires, pour les années de recensement de 1951 à 2021.
DOI: 10.6084/m9.figshare.22304071
title: Unlocking the Pathways to Sustainable Competitive Advantage in the Indonesian Private Higher Education Sector: The Role of Value Co-Creation, Marketing, Innovation, and University Reputation Management Capabilities Dataset

description: The rapid changes in the labor market have put significant pressure on private universities in Indonesia to develop innovative learning methods while facing resource constraints. To remain competitive, these institutions must leverage their capabilities to achieve sustainable competitive advantages. This quantitative study examines the impact of value co-creation capability, marketing capability, and innovation capability on the sustainable competitive advantage of private universities in Indonesia. University reputation management capability is also examined as a mediating factor. Using data gathered from 435 top leaders of 195 private universities in Indonesia, the study employed structural equation modelling to analyze the data. The study findings reveal that marketing capability, innovation capability, and university reputation management capability have a significant and positive impact on sustainable competitive advantage. However, value co-creation capability did not have a direct impact on sustainable competitive advantage. Furthermore, the research highlights that marketing capability, innovation capability, and value co-creation capability significantly and positively influence university reputation management capability, with marketing capability being the strongest relationship found. This research has important implications for private universities in Indonesia seeking to improve their sustainable competitive advantage in the face of changing labor market demands and limited resources.
DOI: 10.48366/r576874
title: Neural-symbolic models

description: In the following table, we present the different Neural-symbolic models that are proposed into two research papers. In future work, we will add more papers to have a global view of all the Neural-symbolic models that are published by NeSy workshop in particular and used in the NeSy domain in general.
DOI: 10.34740/kaggle/dsv/5201794
title: Nifty-50 & Nifty Future 50 Dataset
DOI: 10.18739/a2d50fz9w
title: Estimated sea ice particulate organic carbon (iPOC) in the Arctic marine food web (1985-2019)

description: This dataset is a synthesis of sea ice particulate organic carbon (iPOC) values that were estimated from previously published and new highly branched isoprenoid (HBI) lipid values in Arctic marine organisms. HBIs are produced by several sea ice and pelagic diatom species. Samples were collected for various projects from 1985 through 2019 from the Bering, Chukchi, Beaufort, and Barents Seas and from the Canadian Arctic Archipelago. This dataset includes iPOC values throughout the year (January to December) and was used to investigate year-round utilization of ice algal carbon throughout the marine food web. Multiple trophic levels are represented by benthic invertebrates, zooplankton, ice-associated invertebrates, fish, seabirds and marine mammals.
DOI: 10.48366/r576875
title: Connectionists models

description: In the following table, we present the use of connectionists models. In future work, we will add more papers to have a global view of all the connectionists models that are used in the NeSy domain.
DOI: 10.5281/zenodo.7753246
title: TuReV

description: Corpus of Online News reports on the Tunisian Revolution
DOI: 10.5281/zenodo.7753245
title: TuReV

description: Corpus of Online News reports on the Tunisian Revolution
DOI: 10.34740/kaggle/dsv/5201842
title: NSE-Scripts-Data
DOI: 10.6084/m9.figshare.22251028.v2
title: EuDiS - A comprehensive database of the seed dispersal syndromes of the European flora

description: See detailed description in: Vargas, Heleno & Costa (submitted) EuDiS - A comprehensive database of the seed dispersal syndromes of the European flora <br> Table structure: <strong>Species_Flora_Europaea: </strong>binomial from Flora Europaea <strong>Species_POWO: </strong>binomial currently (as of 2022) accepted according to Plants of the World Online (https://powo.science.kew.org). <strong>Family: </strong>botanical family of the respective species according to POWO. <strong>Endozoochorous: </strong>coded as “1” when the species has diaspores with traits that facilitate internal dispersal by animals; coded as “0” otherwise. <strong>Epizoochorous: </strong>coded as “1” when the species has diaspores with traits that facilitate external dispersal by animals; coded as “0” otherwise. <strong>Thalassochorous: </strong>coded as “1” when the species has diaspores with traits that facilitate dispersal by transport on salt water; coded as “0” otherwise. <strong>Anemochorous: </strong>coded as “1” when the species has diaspores with traits that facilitate dispersal by wind; coded as “0” otherwise. <strong>Myrmecochorous: </strong>coded as “1” when the species has diaspores with traits that facilitate external dispersal by ants; coded as “0” otherwise. <strong>Vertebrate_hoarding: </strong>coded as “1” when the species has diaspores with traits that facilitate dispersal by seed hoarding animals; coded as “0” otherwise. <strong>Freshwater Hydrochorous: </strong>coded as “1” when the species has diaspores with traits that facilitate dispersal by fresh water; coded as “0” otherwise. <strong>Ballochorous: </strong>coded as “1” when the species has traits that facilitate the dispersal by explosive mechanisms; coded as “0” otherwise. <strong>Further_clarification_needed: </strong>marks specific syndromes whose classification is still doubtful or based on incomplete information and thus warrant further work: END: endozoochorous, EPI: epizoochorous, THA: thalassochorous, ANE: anemochorous, HYD: freshwater hydrochorous, MYR: myrmecochorous, BAL: ballochorous. <strong>Synonyms: </strong>binomials that were considered independent species in the volumes of Flora Europaea but are currently considered synonyms of the binomials listed in the field “Species_POWO” <strong>Tree_or_shrub: </strong>coded as “1” when the species is a tree or a woody shrub; coded as “0” otherwise (herbaceous plants, climbers, and suffruticose chamaephytes). <strong>References: </strong>sources used to code the syndromes (see References.csv file for a full reference list)