cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10866104
title: Supplementary Material - "Explanations in Everyday Software Systems: Towards a Taxonomy for Explainability Needs" (RE'24)

description: This artifact contains the questionnaire, coding guidelines and resulting coded data set for the research paper "Explanations in Everyday Software Systems: Towards a Taxonomy for Explainability Needs" submitted to and accepted at the 32nd IEEE International Requirements Engineering 2024 conference. This artifact does not contain any automated analyses or tools.
DOI: 10.5281/zenodo.10871086
title: Supplementary Material - "Explanations in Everyday Software Systems: Towards a Taxonomy for Explainability Needs" (RE'24)

description: This artifact contains the questionnaire, coding guidelines and resulting coded data set for the research paper "Explanations in Everyday Software Systems: Towards a Taxonomy for Explainability Needs" submitted to and accepted at the 32nd IEEE International Requirements Engineering 2024 conference. This artifact does not contain any automated analyses or tools.
DOI: 10.22002/xfxeb-xgn94
title: Dataset: Pavement ant extract is a chemotaxis repellent for C. elegans

description: read me file
DOI: 10.6073/pasta/16ee5acb21d744f777da223276fff121
title: SONGS Mitigation Monitoring: Experimental Reef Survey - Giant Kelp Outplant Size-Specific Survivorship

description: These data describe the size-specific survivorship of laboratory-reared embryonic giant kelp, Macrocystis pyrifera, outplanted at an artificial reef (Wheeler North Reef in Orange County, CA). 
In summer 2000 divers deployed an average of 56 outplant units containing embryonic kelp to 14 modules of Wheeler North Reef. 
Size specific survivorship was measured by recording the number and size of outplanted kelp on surviving outplant units three and eleven months after deployment. 
Measurements of size were categorical and included small single blades (recruits), multi-bladed plants less than 1m tall, and multi-frond plants equal or greater than 1 m tall.
DOI: 10.6084/m9.figshare.25470172
title: Data for "Climatology of the Elevated Mixed Layer over the Contiguous United States and Northern Mexico Using ERA5: 1979–2021"

description: Post-processed ERA5 data used in <i>"</i>Climatology of the Elevated Mixed Layer over the Contiguous United States and Northern Mexico Using ERA5: 1979–2021<i>"</i> (https://doi.org/10.1175/JCLI-D-23-0517.1).
DOI: 10.6084/m9.figshare.25470172.v1
title: Data for "Climatology of the Elevated Mixed Layer over the Contiguous United States and Northern Mexico Using ERA5: 1979–2021"

description: Post-processed ERA5 data used in <i>"</i>Climatology of the Elevated Mixed Layer over the Contiguous United States and Northern Mexico Using ERA5: 1979–2021<i>"</i> (https://doi.org/10.1175/JCLI-D-23-0517.1).
DOI: 10.6084/m9.figshare.25475860
title: <b>Plant anatomy: history and future directions</b><b>Supplementary Material – </b><b>Comparative leaf anatomy of the nothospecies </b><b><i>×Butyagrus nabonnandii</i></b><b> (Arecaceae) </b><b>with its parental species</b>

description: <b>Table S1 – </b><b>Detailed information for each voucher of </b><b><i>×Butyagrus nabonnandii</i></b><b>, </b><b><i>Butia odorata</i></b><b> and </b><b><i>Syagrus romanzoffiana</i></b><b> has been deposited in the Bruno Edgar Irgang Herbarium (HBEI) at the Universidade Federal do Pampa (UNIPAMPA).</b>
DOI: 10.6084/m9.figshare.25475860.v1
title: <b>Plant anatomy: history and future directions</b><b>Supplementary Material – </b><b>Comparative leaf anatomy of the nothospecies </b><b><i>×Butyagrus nabonnandii</i></b><b> (Arecaceae) </b><b>with its parental species</b>

description: <b>Table S1 – </b><b>Detailed information for each voucher of </b><b><i>×Butyagrus nabonnandii</i></b><b>, </b><b><i>Butia odorata</i></b><b> and </b><b><i>Syagrus romanzoffiana</i></b><b> has been deposited in the Bruno Edgar Irgang Herbarium (HBEI) at the Universidade Federal do Pampa (UNIPAMPA).</b>
DOI: 10.6073/pasta/143658aff123f1d143f91af6f2891bf3
title: SBC LTER: REEF: Net primary production, growth and standing crop of Macrocystis pyrifera in Southern California

description: The giant kelp Macrocystis pyrifera forms
 subtidal forests on shallow reefs in temperate regions of the
 world. It is one of the fastest-growing multicellular autotrophs
 on Earth and its high productivity supports diverse marine food
 webs. In 2008, we published a method for estimating biomass and
 net primary production (NPP) of giant kelp along with five years
 of data, to provide a more integrated measure of NPP than those
 yielded by previous methods. Our method combines monthly field
 measurements of standing crop and loss rates with a model of kelp
 biomass dynamics to estimate instantaneous mass-specific growth
 rates and NPP for each season of each year. We have since improved
 our approach to account for several previously unresolved sources
 of biomass loss. These improvements have led to a near doubling of
 our prior estimates of growth and NPP. At our site with the most
 persistent stand of giant kelp, NPP averages ~5.2 kg dry mass
 m-2 y-1 and
 results from the rapid growth (~3.5% per day) of a relatively
 small standing biomass (~ 0.4 kg dry mass
 m-2 on average) that turns over ~ 12
 times annually. Here we provide revised estimates of seasonal
 biomass, growth and NPP for the five years covered by our previous
 publication (2002-2006), along with an additional data collect
 since then (2007-present). We also present updated relationships
 for predicting giant kelp biomass and NPP from much more easily
 obtained measurements of frond density. These data can be used to
 understand the mechanisms that drive variation in giant kelp NPP
 at a wide range of temporal scales.
DOI: 10.6084/m9.figshare.25457926.v4
title: Ilustrações da revisão de escopo.docx

description: <b>Objetivo: </b>Investigar os fatores de risco associados a quedas em idosos institucionalizados. <b>Método:</b> O estudo foi conduzido em duas etapas distintas. Primeiramente, realizou-se uma revisão de escopo da literatura, seguindo os critérios do PRISMA-ScR e registrada no Open Science Framework - OSF. Na segunda etapa, procedeu-se à busca nas seguintes bases de dados: PubMed, EMBASE, Web of Science, Scopus e Lilacs, sem limite de tempo de publicação, nos idiomas em Inglês, Português e Espanhol. A triagem dos estudos e extração dos dados foi realizada utilizando o programa Rayyan QCRI. <b>Resultados:</b> Após a aplicação dos critérios de inclusão obteve-se 69 artigos. Observou-se que os medicamentos utilizados são um fator de risco significativo para quedas, com os antidepressivos sendo a classe mais frequente, presentes em 30,4% (n=21) dos estudos, seguidos pelos antipsicóticos com 24,6% (n=17) e benzodiazepínicos com 20,3% (n=14). Entre os medicamentos mais prevalentes, destacam-se a Trazodona e a Risperidona, mencionadas em 4,4% (n=3) dos estudos cada. Quanto aos instrumentos para avaliação do risco de quedas, o Teste TUG foi o mais utilizado, representando 14,5% (n=10) dos estudos. <b>Conclusão: </b>A análise dos estudos revela uma associação significativa entre o uso de medicamentos, principalmente antidepressivos, antipsicóticos e benzodiazepínicos, e o aumento do risco de quedas. Destaca-se a risperidona e a trazodona como os principais medicamentos correlacionados a esse aumento de risco. Quanto aos instrumentos de avaliação do risco de quedas, o teste de TUG foi amplamente citado na literatura revisada.
DOI: 10.6084/m9.figshare.25412248
title: Lightning Pose results: Nature Methods 2024

description: Results needed to reproduce the main text figures from Biderman, Whiteway et al., Nature Methods 2024.Scripts for downloading and plotting the data can be found at https://github.com/themattinthehatt/lightning-pose-2024-nat-methods.See the README inside the zip file for more information on individual files.
DOI: 10.6084/m9.figshare.25412248.v1
title: Lightning Pose results: Nature Methods 2024

description: Results needed to reproduce the main text figures from Biderman, Whiteway et al., Nature Methods 2024.Scripts for downloading and plotting the data can be found at https://github.com/themattinthehatt/lightning-pose-2024-nat-methods.See the README inside the zip file for more information on individual files.
DOI: 10.6073/pasta/3077dbbdf9e57b33661ce5cbd20e4eb4
title: SBC LTER: REEF: Net primary production, growth and standing crop of Macrocystis pyrifera in Southern California

description: The giant kelp Macrocystis pyrifera forms
 subtidal forests on shallow reefs in temperate regions of the
 world. It is one of the fastest-growing multicellular autotrophs
 on Earth and its high productivity supports diverse marine food
 webs. In 2008, we published a method for estimating biomass and
 net primary production (NPP) of giant kelp along with five years
 of data, to provide a more integrated measure of NPP than those
 yielded by previous methods. Our method combines monthly field
 measurements of standing crop and loss rates with a model of kelp
 biomass dynamics to estimate instantaneous mass-specific growth
 rates and NPP for each season of each year. We have since improved
 our approach to account for several previously unresolved sources
 of biomass loss. These improvements have led to a near doubling of
 our prior estimates of growth and NPP. At our site with the most
 persistent stand of giant kelp, NPP averages ~5.2 kg dry mass
 m-2 y-1 and
 results from the rapid growth (~3.5% per day) of a relatively
 small standing biomass (~ 0.4 kg dry mass
 m-2 on average) that turns over ~ 12
 times annually. Here we provide revised estimates of seasonal
 biomass, growth and NPP for the five years covered by our previous
 publication (2002-2006), along with an additional data collect
 since then (2007-present). We also present updated relationships
 for predicting giant kelp biomass and NPP from much more easily
 obtained measurements of frond density. These data can be used to
 understand the mechanisms that drive variation in giant kelp NPP
 at a wide range of temporal scales.
DOI: 10.6084/m9.figshare.3761562.v2893
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.10871124
title: Excel tables supplementary to ZeroPM deliverable 6.5 - Manuscript on newly identified bioactive PM substances and their risk profiles

description: The files are supporting information to the ZeroPM deliverable 

Manuscript on newly identified bioactive PM substances and their risk profiles

These are available to the European Commission only on request.
DOI: 10.5281/zenodo.10871125
title: Excel tables supplementary to ZeroPM deliverable 6.5 - Manuscript on newly identified bioactive PM substances and their risk profiles

description: The files are supporting information to the ZeroPM deliverable 

Manuscript on newly identified bioactive PM substances and their risk profiles

These are available to the European Commission only on request.
DOI: 10.5281/zenodo.10611978
title: TACDEC: Dataset of Tackle Events in Soccer Game Videos

description: TACDEC is a dataset of tackle events in soccer game videos. Recognizing the gap in existing open datasets that predominantly focus on official soccer events such as goals and cards, TACDEC targets a comprehensive analysis of tackles — a critical aspect of soccer that combines technical skills, tactical decision-making, and physical engagement. By leveraging video data from the Norwegian Eliteserien league across multiple seasons, we annotated 425 videos with 4 types of tackle events, categorized into "tackle-live", "tackle-replay", "tackle-live-incomplete", and "tackle-replay-incomplete", yielding a total of 836 event annotations. The dataset offers an unprecedented resource for the development and testing of machine learning models aimed at understanding and analyzing soccer game dynamics.
DOI: 10.5281/zenodo.10611979
title: TACDEC: Dataset of Tackle Events in Soccer Game Videos

description: TACDEC is a dataset of tackle events in soccer game videos. Recognizing the gap in existing open datasets that predominantly focus on official soccer events such as goals and cards, TACDEC targets a comprehensive analysis of tackles — a critical aspect of soccer that combines technical skills, tactical decision-making, and physical engagement. By leveraging video data from the Norwegian Eliteserien league across multiple seasons, we annotated 425 videos with 4 types of tackle events, categorized into "tackle-live", "tackle-replay", "tackle-live-incomplete", and "tackle-replay-incomplete", yielding a total of 836 event annotations. The dataset offers an unprecedented resource for the development and testing of machine learning models aimed at understanding and analyzing soccer game dynamics.
DOI: 10.3886/e199251
title: Victre_Data_Rads_Res_Novice_2024

description: Human Data for Victre Imaging Trials. Masses Calcifications and Mixed for participants at UCF, EUSOBI and ECR
DOI: 10.3886/e199251v1
title: Victre_Data_Rads_Res_Novice_2024

description: Human Data for Victre Imaging Trials. Masses Calcifications and Mixed for participants at UCF, EUSOBI and ECR
DOI: 10.6084/m9.figshare.25476058
title: Data of sample with 60% and 40% of infill

description: Microwave scan of PLA sample with different infill densities (60% and 40% in each half). For purpose of measurment, a set of samples (made from the green and blue PLA made by ROSA3D) was prepared, differing only in the filling density.
DOI: 10.5517/ccdc.csd.cc2dc497
title: CCDC 2215238: Experimental Crystal Structure Determination

description: Related Article: Yuan-Sheng Xia, Lei Zhang, Jia-Ni Lu, Xin-Hui Zhao, Long-Zhang Dong, Jiang Liu, Ya-Qian Lan |2024|Nat. Synth.|3|406|doi:10.1038/s44160-023-00458-5
description: Related Article: yuansheng Xia|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25345/c5bc3t79z
title: MassIVE MSV000094403 - The role of ATP citrate lyase in myelin formation and maintenance
title: Formation of myelin by Schwann cells is tightly coupled to peripheral nervous system development and is important for neuronal function and long-term maintenance. Perturbation of myelin causes a number of specific disorders that are among the most prevalent diseases affecting the nervous system. Schwann cells synthesize myelin lipids de novo rather than relying on uptake of circulating lipids, yet one unresolved matter is how Acetyl CoA, a central metabolite in lipid formation is generated during myelin formation and maintenance. Recent studies have shown that glucose-derived Acetyl CoA itself is not required for myelination. Moreover, the importance of mitochondrially-derived Acetyl CoA has never been tested for myelination in vivo. Therefore, we have developed a Schwann cell-specific knockout of the ATP Citrate Lyase (Acly) gene to determine the importance of mitochondrial metabolism to supply Acetyl CoA in nerve development. Intriguingly, the ACLY pathway is important for myelin maintenance rather than myelin formation. In addition, ACLY is required to maintain expression of a myelin-associated gene program and to inhibit activation of the latent Schwann cell injury program.
DOI: 10.57967/hf/1961
title: TACDEC
DOI: 10.57967/hf/1962
title: TACDEC
DOI: 10.4121/269281d2-df2e-4f73-9d6c-dabb6f7d0c6f.v2
title: Fault reactivation from reservoir to fault scale: visualisation data

description: Visualisation of fault reactivation at two different scales, reservoir and fault. Plot of pressure equilibration across the fault and change of permeability.
DOI: 10.4121/224f0bb6-dfca-4c96-9066-1cdcdcce67ac.v2
title: Data underlying chapter 6 “Multiple Backscattering of Photonic Topological Edge States” of the dissertation "Photonic topological edge states: A nanoscale investigation"

description: Python scripts and numpy arrays for reproducing the figures shown in Chapter 6 of the Phd dissertation titled "Photonic topological edge states"
DOI: 10.4121/2a36a6ae-07fc-4592-8c27-19e3efafd696.v2
title: Supporting data for the article "The utilization of ghost reflections retrieved by seismic interferometry for layer-specific characterization of the shallow subsurface"

description: Data used for the article " The utilization of ghost reflections retrieved by seismic interferometry for layer-specific characterization of the shallow subsurface" including codes, the results of seismic interferometry by auto-correlation and cross-correlation for the baseline survey and the monitoring surveys.
DOI: 10.4121/55a825d7-79e6-43a8-82a3-83588a23f596.v2
title: Research data supporting the thesis Non-assembly Additive Manufacturing of Medical Devices

description: In the medical field, non-assembly designs enable the creation of increasingly complex devices that can facilitate a wide range of complex operations. In conventional medical device manufacturing, intricate components are typically produced separately and then assembled, a process that introduces complexities, costs, and potential points of failure. Non-assembly additive manufacturing addresses these challenges by allowing the creation of complex medical structures, such as surgical instruments, prosthetics, and patient-specific implants, in a seamless and continuous manner. For the production of complex medical devices with miniature- and micro-sized components, for which conventional assembly processes can be long and time-consuming, non-assembly manufacturing can shorten the total manufacturing time, reduce costs, and eliminate the need for specialized knowledge and tools for the assembly and fine-tuning of the device. This efficiency is particularly crucial in the medical field, where timely access to customized and precise solutions can significantly impact patient outcomes. Non-assembly additive manufacturing also has the potential to drive innovation in medical device design. Designers and engineers can explore new possibilities, pushing the boundaries of what is achievable in terms of functionality, customization, and patient-specific adaptations. Therefore, the main purpose of the research described in this thesis, is to explore the possible contributions of non-assembly additive manufacturing to the production of complex medical devices.
DOI: 10.4121/54aeee57-e2bc-4cc1-8f3e-acb82a795727.v2
title: Data of a hydroelastic response of floating solar farm subject to regular waves

description: In this dataset you can find the dynamic simulation of the hyrdoelastic response of an array of 3 x 4 Very Large Floating Structures (VLFS) subject to regular waves. This dataset has been generated using the methodology described in [1] and the software provided in [2].<br>This dataset recreates an scenario of an offshore floating photovoltaic farm within an offshore wind farm. To make the simulations more realistic, a set of wind turbines have been added, only for visualization purposes.<br>References:[1] Colomés, Oriol, Francesc Verdugo, and Ido Akkerman. "A monolithic finite element formulation for the hydroelastic analysis of very large floating structures." <em style="color:rgb(34, 34, 34);">International Journal for Numerical Methods in Engineering</em> 124.3 (2023): 714-751.[2] Colomés, Oriol. "Code used to generate the data underlying the publication: A monolithic Finite Element formulation for the hydroelastic analysis of Very Large Floating Structures". Version 1. <em>4TU.ResearchData. software</em>. (2022) https://doi.org/10.4121/19601419.v1
DOI: 10.4121/5cad48c2-2767-49a2-9e2c-cc7f84ab9182.v1
title: Data underlying the publication: Speed development at freeway curves based on high frequency floating car data

description: Flooating Car Data in 153 curves in The Netherlands were collected at a resolution of 1 Hz and were filtered on free-flow periods, to analyse over 800 thousand unique continuous free-flow speed observations on these curves. These speed profiles were aggregated to specific break points along the speed profile, and per curve the 85th percentile was extracted. These speeds and positions are given in this database, along with relevant curve characteristics. The variables are explained in an additional sheet.<br>More backgrounds can be read in:<br>Vos, J., & Farah, H. (2022). Speed development at freeway curves based on high frequency floating car data. European Journal of Transport and Infrastructure Research, 22(2), 201-223. doi:10.18757/ejtir.2022.22.2.6114
DOI: 10.4121/9011d7d2-b715-4aee-86c0-a67ca2810f2b.v3
title: MATLAB code for Modelling form roughness induced by tidal sand waves: second order perturbation approach analysis

description: This dataset contains the codes needed to compute the basic and second order flow obtained from a second order perturbation approach performed on a bed covered with tidal sand waves. The model setting is morphostatic and 2DV. The model is forced with an oscillatory flow, representative of the tidal flow.The flow is obtained by solving the dimensionless momentum and mass balance equations in Fourier space.
DOI: 10.4121/933b3ca9-ed9e-468c-bfcb-217ea3c194a7.v2
title: Data underlying the publication: Stochastic electrical detection of single ion-gated semiconducting polymers

description: Semiconducting polymer chains constitute the building blocks for a wide range of electronic materials and devices. However, most of their electrical characteristics at single molecule level have received little attention. Elucidating these properties could help understanding performance limits and enabling new applications. Here we exploit coupled ionic-electronic charge transport to measure the quasi-one-dimensional electrical current through single, long conjugated polymer chains as they form transient contacts with electrodes separated by ~10 nm. Fluctuations between internal conformations of the individual polymers are resolved as abrupt, multi-level switches in the electrical current. This behavior is consistent with our theoretical simulations based on the worm-like-chain model for semi-flexible polymers. In addition to probing the intrinsic properties of single semiconducting polymer chains, our results provide an unprecedented window into the dynamics of random-coil polymers and enable the use of semiconducting polymers as electrical labels for single-molecule (bio)sensing assays.
DOI: 10.4121/bac024f1-6c2e-4a09-bf0f-be78b6bbe21c.v3
title: Scripts and data for "Historical shifts in seasonality and timing of extreme precipitation"

description: This dataset contains the python scripts and NetCDF data for the analyses and to recreate the figures of the manuscript: "Historical shifts in seasonality and timing of extreme precipitation" by Gaby Gründemann, Enrico Zorzetto, Nick van de Giesen, and Ruud van der Ent