cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13353417
title: A parametric life cycle framework to promote sustainable-by-design product development: Application to a hydrogen production technology

description: The European Ecodesign Directive is an effective normative framework that has been extensively proven to support the energy transition of numerous European industrial sectors. From an analytical standpoint, it provides practitioners with the EcoReport tool, a simplified life cycle spreadsheet that is aimed at guiding the development of ecodesign measures of mandatory compliance in European countries. In this regard, several studies have highlighted the limitations of the EcoReport tool when addressing emerging technologies like those tied to the hydrogen sector. These works also propose to further integrate material criticality and social metrics in order to enlarge the scope of the European Directive and foster the shift from ecodesign to sustainable-by-design product development. In this situation, building upon the principles of the EcoReport tool and recognizing the outcomes of the aforementioned critical analyses, the conceptualization of a novel sustainable-by-design framework is presented and applied to a Solid Oxide Electrolysis Cell (SOEC) stack for hydrogen production. The operationalization of the framework is conducted, for the first time in the context of sustainable design, by combining the use of the Brightway2 and lca_algebraic Python packages. Overall, the proposed approach succeeds in providing a complete sustainability perspective to the design of emerging technologies. Regarding the tangible lessons learned on the hydrogen-related case study, product concepts are proven to progressively improve the sustainability performance of the technology. It is noticeable that the enhancement of the economic competitivity is more limited than that achieved at the remaining sustainability indicators (i.e., environmental, social and material criticality metrics). In line with the outcomes of the life cycle contribution assessment, multi-criteria decision analysis ratings lead to concluding that a sustainable-by-design SOEC stack product concept should prioritize limiting its material intensity.
description: This work has been carried out within the framework of the projects eGHOST and SH2E. These projects have received funding from the Fuel Cells and Hydrogen 2 Joint Undertaking (now Clean Hydrogen Partnership) under Grant Agreements No. 101007166 and 101007163, respectively. This Joint Undertaking receives support from the European Union's Horizon 2020 Research and Innovation programme, Hydrogen Europe and Hydrogen Europe Research. The contents of this document are provided “AS IS”. It reflects only the authors' view and the Joint Undertaking is not responsible for any use that may be made of the information it contains.

The authors would like to express their gratitude to Raphael Jolivet for his selfless technical support on the use of the lca_algebraic Python package.
DOI: 10.15468/dl.9rvabt
title: Occurrence Download

description: A dataset containing 19665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.50186 8.73161,-77.90214 7.23667,-77.91031 5.15357,-77.66923 4.01636,-78.77623 2.40877,-79.00496 1.63271,-77.67341 0.18679,-76.84833 0.15412,-69.71064 -4.64111,-69.71064 -4.64111,-66.99851 -0.6873,-67.1619 8.75611,-71.24641 13.20007,-76.04981 11.07612,-76.04981 11.07612,-80.19968 11.76232,-76.83404 15.94487,-79.84024 16.40233,-81.93152 15.16064,-82.12758 11.27218,-76.80136 10.16119,-77.50186 8.73161))",
 "OccurrenceStatus is Present",
 "TaxonKey is Culicidae"
 ]
}

 The dataset includes 19665 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000014-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.9c103o4g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.48597/kfpa-hfjh
title: Measurement of Ozone at Esrange

description: Measurement of Ozone at Esrange
DOI: 10.21227/5kqm-fq62
title: Fitts_Law_Dataset.xlsx

description: There is growing widespread adoption of augmented reality in tech-driven industries and sectors of society, such as medicine, gaming, flight simulation, education, interior design and modelling, entertainment, construction, tourism, repair and maintenance, public safety, agriculture, and quantum computing. However, ensuring smooth and intuitive interactions with augmented objects is challenging, requiring practical performance evaluation and optimisation models to assess and improve users' experiences as they engage with AR-enhanced devices or systems. In this paper, we adapt Fitts's Law and apply it to model and predict interaction difficulty with objects distributed across four spatial quadrants. We use genetic optimisation algorithms to fine-tune Fitts's Law parameters, achieving a model that significantly boosts predictive accuracy. Our optimised model demonstrates an approximately 40\% reduction in interaction difficulty across all quadrants, leading to a more ergonomic and intuitive user interface. This study contributes to the Human-Computer Interaction (HCI) field by offering a refined metric for evaluating and optimising AR interfaces, addressing the unique challenges of three-dimensional interaction environments.
DOI: 10.6084/m9.figshare.26954833
title: Risk factors for persistent pain after arthroscopic rotator cuff repair

description: Risk factors for persistent pain after arthroscopic rotator cuff repair
DOI: 10.15468/dl.byju7c
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Material sample, Specimen, Fossil, Living Specimen)",
 "Country is Spain",
 "TaxonKey is Felis silvestris Schreber, 1777"
 ]
}

 The dataset includes 105 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000016-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25392/leicester.data.26954074
title: List of geomagnetic disturbances 2010-2022

description: List of geomagnetic disturbances (GMDs) using SuperMAG 1 second data stations between 2010 and 2022Each line had the format of station ID, year, month, day, UT, GMD value (nT/10sec), GMD Field direction, Algorithm Flag, Wave frequency (Hz), Error on wave frequency (Hz), Y if Gaussian fit worked N otherwise. Algorithm flag is: B:Bad, D:Doubtful, W:Wave related, G:Good/Non wave related.This is the GMD list created with a threshold of 50 nT/10 sec generated using the method outlined in: Location of geomagnetic disturbances in relation to the field aligned current boundary G.E. Bower, S. Imber, S.E. Milan, A. Schillings, A.L. Fleetham and J. W. Gjerloev, Journal of Geophysical Research: Space Physics, submitted, 2024<br>
DOI: 10.5281/zenodo.13710991
title: Replication package for the paper "Multi-language Software Development in the LLM Era: Insights from Practitioners' Conversations with ChatGPT"

description: This is the replication package for the paper “Multi-language Software Development in the LLM Era: Insights from Practitioners’ Conversations with ChatGPT”.

This research was done using the 2023-10-12 release of DevGPT; for an overall explanation of the dataset, please consult the original work at: DevGPT/snapshot_20231012 at main · NAIST-SE/DevGPT (github.com).

After downloading the snapshot, extract the archives into the same folder of the notebooks.

The "analysis_single_source.ipynb" script collects all metrics for every file individually. The variable "fileNumber" selects which JSON to use. For overall metrics, the "analysis_all_sources.ipynb" file was used.

The normalization process is inside both notebooks and can be found below the 'Normalization' tag.

The folder "open_card_sorting" contains the 3 participants' Opencard results and analysis.

The folder "results" contains all the CSV files produced by the scripts.

The folder "normalized" contains the individual datasets already preprocessed through the scripts.
DOI: 10.5284/1117729
title: British Institute in Eastern Africa Digital Archives: Konso

description: Digital versions of images and slides from excavations at Konso. This collection is part of the British Institute in Eastern Africa's Digital Archive Series.
DOI: 10.34740/kaggle/dsv/9333055
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5284/1117706
title: British Institute in Eastern Africa Digital Archives: John Sutton Collection

description: Digital versions of images and slides from donated by John Sutton to the BIEA. The collection contains digitised versions of 35 mm colour transparencies from John Sutton's work in East Africa from 1960s to the 1990s. This collection is part of the British Institute in Eastern Africa's Digital Archive Series.
DOI: 10.15468/dl.snk3qk
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is d0963cee-1a29-47a2-b9bf-fb0e7690077c",
 "TaxonKey is Berberis julianae C.K.Schneid."
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000023-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26954845
title: Probe signal_Classification.rar

description: <br>Probe signals_ClassificationMachine learning was performed by MATLAB. More than 400 events of each analyte type were collected to form a dataset. The label for each event was assigned with the known identity of the analyte. The dataset was then split into a training set (80%) and a testing set (20%) for model training and model testing. I/I0 and SD of events were employed as event features. Model training was performed using the Classification Learner toolbox of MATLAB. Mainstream classifiers were estimated with default settings. According to results of five cross validation accuracy and the testing accuracy, the model demonstrating the best performance would be chosen for further use. ****************************************************************************************************************************************************1. System requirements Hardware Requirements: RAM: 16+ GB CPU: 4+ cores, 3.3+ GHz/core GPU: NVIDIA GTX 1080 Software Requirements: MATLAB R2022b2. Introduction Probe signals_Classification is meant to serve as a machine learning-based nanopore analysis platform using MATLAB for the identification of different PTMs peptides. The program contains two steps as follows: a. Import dataset. b. Open "Classification Learner" APP in MATLAB. c. Train Classifier splits the dataset into a training dataset(80%) and a testing dataset(20%), then outputs training accuracy, testing accuracy and confusion matrix. 3. Operating procedures: <br> -Unzip the Probe signals_Classification.rar to local folder. <br> -Open either Probe signals_Classification.m in MATLAB<br> -Enter the file name of the training dataset. // example: dataset.xlsx<br> -Run Probe signals_Classification.m<br>4. Output The values of the variables 'validationAccuracy' and 'TestingAccuracy ' are output in the MATLAB.
DOI: 10.5281/zenodo.13353457
title: Life-cycle assessment of hydrogen systems: A systematic review and meta-regression analysis

description: The high expectations placed on hydrogen as a clean fuel have led to a growing amount of life-cycle assessment (LCA) studies of hydrogen-related systems. The multiple methodological choices and diverse technical characteristics contribute to a broad set of practices, resulting in significant variability even among similar systems. This study sets the basis for the development of harmonised guidelines for LCA of fuel cells and hydrogen (FCH) systems by analysing current LCA practices. The reviewed literature suggests that previous efforts on harmonisation of LCA methodological choices have led to common practices for certain choices, e.g. functional unit. However, an incomplete definition of some parameters hinders the interpretability of LCA results and hides the potential sources of variability in terms of LCA estimates. In this work, in addition to a systematic literature review of LCA of FCH systems to identify current practices and gaps, sources of variability were investigated for the life-cycle greenhouse gas emissions of hydrogen production systems through a meta-regression analysis (MRA). The MRA results show that the variability of LCA estimates in the literature can be explained by a limited set of qualitative (e.g. implementation of CO2 capture, among other technological choices) and quantitative (e.g. electricity consumption for hydrogen processing) variables. Although a certain progress towards common methodological choices in LCA of FCH systems was identified, further work is still needed to harmonise practices, as well as to extend the application of the proposed MRA approach to other life-cycle indicators for both identification of main drivers and harmonisation of LCA impact scores.
description: The authors thank José Luis Gálvez-Martos and Felipe Campos-Carriedo for their valuable insights during the development of this work. This work was carried out within the framework of grant PID2021-124705OB-I00 (HYWARE), funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe". This work was also carried out in the context of the SH2E project, which has received funding from the Fuel Cells and Hydrogen 2 Joint Undertaking (now Clean Hydrogen Partnership) under grant agreement No 101007163. This Joint Undertaking receives support from the European Union's Horizon 2020 Research and Innovation programme, Hydrogen Europe and Hydrogen Europe Research. The contents of this document are provided “AS IS”. It reflects only the authors' view and the Joint Undertaking is not responsible for any use that may be made of the information it contains.
DOI: 10.5281/zenodo.13353458
title: Life-cycle assessment of hydrogen systems: A systematic review and meta-regression analysis

description: The high expectations placed on hydrogen as a clean fuel have led to a growing amount of life-cycle assessment (LCA) studies of hydrogen-related systems. The multiple methodological choices and diverse technical characteristics contribute to a broad set of practices, resulting in significant variability even among similar systems. This study sets the basis for the development of harmonised guidelines for LCA of fuel cells and hydrogen (FCH) systems by analysing current LCA practices. The reviewed literature suggests that previous efforts on harmonisation of LCA methodological choices have led to common practices for certain choices, e.g. functional unit. However, an incomplete definition of some parameters hinders the interpretability of LCA results and hides the potential sources of variability in terms of LCA estimates. In this work, in addition to a systematic literature review of LCA of FCH systems to identify current practices and gaps, sources of variability were investigated for the life-cycle greenhouse gas emissions of hydrogen production systems through a meta-regression analysis (MRA). The MRA results show that the variability of LCA estimates in the literature can be explained by a limited set of qualitative (e.g. implementation of CO2 capture, among other technological choices) and quantitative (e.g. electricity consumption for hydrogen processing) variables. Although a certain progress towards common methodological choices in LCA of FCH systems was identified, further work is still needed to harmonise practices, as well as to extend the application of the proposed MRA approach to other life-cycle indicators for both identification of main drivers and harmonisation of LCA impact scores.
description: The authors thank José Luis Gálvez-Martos and Felipe Campos-Carriedo for their valuable insights during the development of this work. This work was carried out within the framework of grant PID2021-124705OB-I00 (HYWARE), funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe". This work was also carried out in the context of the SH2E project, which has received funding from the Fuel Cells and Hydrogen 2 Joint Undertaking (now Clean Hydrogen Partnership) under grant agreement No 101007163. This Joint Undertaking receives support from the European Union's Horizon 2020 Research and Innovation programme, Hydrogen Europe and Hydrogen Europe Research. The contents of this document are provided “AS IS”. It reflects only the authors' view and the Joint Undertaking is not responsible for any use that may be made of the information it contains.
DOI: 10.60893/figshare.app.26497036
title: Supplement 1

description: SupplementaryInformation-results of statistical analysis
DOI: 10.60893/figshare.app.26497036.v1
title: Supplement 1

description: SupplementaryInformation-results of statistical analysis
DOI: 10.15468/dl.recbef
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "TaxonKey is Ixodes ricinus Linnaeus, 1758"
 ]
}

 The dataset includes 124 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000028-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjch25
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "TaxonKey is Galago moholi A.Smith, 1836"
 ]
}

 The dataset includes 218 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000025-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqub8v
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Diaporthe helianthi Munt.-Cvetk., Mihaljč. & M.Petrov"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000027-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wum6dc
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "TaxonKey is Galago moholi A.Smith, 1836"
 ]
}

 The dataset includes 218 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000026-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7byzm9
title: Occurrence Download

description: A dataset containing 294738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is South Africa",
 "GadmGid is ZAF.9_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 294738 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000020-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26940034
title: Raw Data

description: <br><b>Schoolchildren's</b><b> dietary pattern using the NOVA classification system: its association with excess weight and sociodemographic factor</b><b>s</b>
DOI: 10.5284/1117728
title: British Institute in Eastern Africa Digital Archives: Somalia

description: Digital versions of field notes, images and slides from an expedition directed by Neville Chittick between 1974 and 1984. His expedition covered Mogadishu and sites surrounding this large, historic city, as well as sites along the coast of Somalia. This archive also includes a broad area of historical content contained in the BIEA archive: aerial photographs of the region, photographs of the countryside, site maps, historical images of local architecture reflecting indigenous and Arabic influence on the city of Mogadishu, and Mogadishu street life. This collection is part of the British Institute in Eastern Africa's Digital Archive Series.
DOI: 10.60893/figshare.pof.26790166
title: Supplementary Materials

description: Computational modeling of the upper airway in three distinct groups, incorporating location-specific values to construct averaged data and flow parameters for the upper airway model
DOI: 10.60893/figshare.pof.26790166.v1
title: Supplementary Materials

description: Computational modeling of the upper airway in three distinct groups, incorporating location-specific values to construct averaged data and flow parameters for the upper airway model
DOI: 10.60893/figshare.rsi.26739289
title: XYZ coordinates

description: XYZ coordinates
DOI: 10.5284/1117727
title: British Institute in Eastern Africa Digital Archives: Tanzania

description: Digital versions of photographs, drawings, and fieldwork notes from the numerous archaeological surveys conducted by the Institutes former Director, J. E. G. Sutton, and from the excavation undertaken in 1986 by Peter Robertshaw in 1964 and 1966. Three further seasons of archaeological survey and excavation were undertaken between 2001 and 2003 by a team from University College, London (UCL) and the BIEA in collaboration with a project led by Ari Siiriäinen and Vesa Laulumaa from the University of Helsinki and the BIEA collection contains material from this work as well, including some photographs of excavations made by the Finnish team. This collection is part of the British Institute in Eastern Africa's Digital Archive Series.
DOI: 10.15468/dl.seme4q
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Material sample, Specimen, Fossil, Living Specimen)",
 "Country is Spain",
 "TaxonKey is Felis silvestris Schreber, 1777"
 ]
}

 The dataset includes 105 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000017-240906103802322/datasets/export for details.
DOI: 10.4121/10d493df-8efb-442b-8c3d-04e92bcf4c4e
title: Dataset underlying the study "An earthen sill as a measure to mitigate salt intrusion in estuaries"

description: The dataset contains the input files of 265 simulations using Delft3D Flexible Mesh (DFM) in which estuaries were designed using a parametric design. Every estuary design was based on thirteen (13) input parameters: three (3) parameters to describe the boundary conditions, and ten (10) for the geomorphological characteristics. The simulations are grouped in seven (7) sets of estuaries based on their focus: (1) height (N=20); (2) lmr (N=26); (3) macro (N=51); (4) micro (N=51); (5) pm (N=51); (6) volume (N=15); and (7) wm (N=51). Model simulations export only the last day of the simulated period, focusing on the quasi-steady state response. Model simulation periods differed per estuary, based on the spin-up period: simulation periods ranged 8-60 days.