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opencc-by-4.0Nov 2023View details →

Appendix 4: Supplementary data for Chapter 3 in the thesis: 'Quantifying the natural resource requirements of terrestrial ecosystems for the management of biodiversity alongside human development'

Appendix 4: Supplementary data for Chapter 3 in the thesis: 'Quantifying the natural resource requirements of terrestrial ecosystems for managing biodiversity alongside human development' by Adam R. Mason, Department of Civil and Environmental Engineering, Imperial College London

opencc-by-4.0Nov 2023View details →

Appendix 6: Supplementary data for Chapter 5 in the thesis: 'Quantifying the natural resource requirements of terrestrial ecosystems for managing biodiversity alongside human development'

Appendix 6: Supplementary data for Chapter 5 in the thesis: 'Quantifying the natural resource requirements of terrestrial ecosystems for managing biodiversity alongside human development' by Adam R. Mason, Department of Civil and Environmental Engineering, Imperial College London

Developing epidemiological preparedness for a probable plant disease invasion: modelling citrus huánglóngbìng in the European Union

Video 1: Spread of the vector in a single simulation in Region A (Valencia). Corresponds to Fig S10 in supplementary material. Maps show the measure of vector density within each cell and light grey shows initial exposure. Video 2: Spread of the pathogen in a single simulation in Region A (Valencia). Corresponds to Fig 3 in main text. Both vector and pathogen are introduced simultaneously at t=0 into a single 1km x 1km cell. Maps showing the density of infected citrus host units (E+C+I) within each cell at different times after introduction. Video 3: Spread of the pathogen in a single simulation in Region A (Valencia) using baseline parameters for detection and control. Corresponds to Fig 6 in main text. Maps show densities of infected citrus (E+C+I) in each 1km x 1km cell Video 4: Spread of the vector in a single simulation in Region B (Andalusia). Corresponds to Fig S13 in supplementary material. Maps show the measure of vector density within each cell and light grey shows initial exposure. Video 5: Spread of the pathogen in a single simulation in Region B (Andalusia). Corresponds to Fig S14 in supplementary material. Both vector and pathogen are introduced simultaneously at t=0 into a single 1km x 1km cell. Maps showing the density of infected citrus host units (E+C+I) within each cell at different times after introduction. Video 6: Spread of the pathogen in a single simulation in Region B (Andalusia) using baseline parameters for detection and control. Corresponds to Fig S17 in supplementary material. Maps show densities of infected citrus (E+C+I) in each 1km x 1km cell

opennotspecifiedJan 2023View details →

Figure 2 in From Tasmania to the world: long and strong traditions in seaweed use, research, and development

Figure 2: Examples of the diversity of seaweed species in Tasmania. (A) Hormosira banksii, (B) Asparagopsis armata, (C) Lessonia corrugata, (D) Durvillaea potatorum, (E) front: Caulerpa trifaria; back: Phyllotrichia verruculosa, (F) Macrocystis pyrifera, (G) Phyllospora comosa, (H) Delisea sp., (I) assemblage of red seaweeds including Ballia callitricha, Corallina officinalis, Delisea plumosa, Phymatolithon maisonianum, Pterocladiella capillacea, Spnderphycus coriaceus, (J) Durvillaea spp. and Xiphophora gladiata, (K) reef assemblage including: Ecklonia radiata, Caulerpa trifaria, Plocamium cirrhosum, (L) encrusting red algal assemblage, (M) Ecklonia radiata, (N) assemblage of crustose coralline algae, (O) Sargassum sp. Photo credits:(A, D, E, F) Joanna Smart,(B) Elysha Kennedy, (C) Michael Guiry (AlgaeBase), (G, K) Matthew Doggett, (N) Elisabeth (Beth) Strain, (I) Christopher Cornwall, (J) Scott Ling, (H and L) Cayne Layton, (M) Jo Lane, (O) Emilliano Cimoli.

opennotspecifiedJan 2023View details →

Figure 1 in From Tasmania to the world: long and strong traditions in seaweed use, research, and development

Figure 1: Map of Tasmania with regional oceanographic currents, and locations referred to in the text and Table 1, including the East Australian Current (EAC) and Zeehan Current (ZC).

Supporting data for: "mtGrasp: Streamlined mitochondrial genome reference-grade assembly and standardization to enhance mitogenome resources and improve the development of environmental DNA assays"

Here, we provide supporting data for the manuscript "mtGrasp: Streamlined mitochondrial genome reference-grade assembly and standardization to enhance mitogenome resources and improve the development of environmental DNA assays". Phylogenetic_analysis.tar.gz contains the script and fasta files used for the phylogenetic analysis, and Mitogenomes.tar.gz contains the mitochondrial sequences utilized that are not publicly available in GenBank.

Adhesive Antibacterial Moisturizing Nanostructured Skin Patch for Sustainable Development of Atopic Dermatitis Treatment in Humans [Swelling studies]

Adhesive Antibacterial Moisturizing Nanostructured Skin Patch [Swelling studies]

Development of medicinal beer production technology / Gyógysör gyártástechnológiai kidolgozása

A projekt összetett folyamatot fed le. A kezdeti elméleti kidolgozást követően a fél-üzemi megvalósítás, majd az üzemi léptékre emelés egymástól jól elkülönülő fázisairól beszélhetünk, tehát több cél és több eredmény is született.  Az elméleti rész és a fél-üzemi rész sikeresen, a megfogalmazott céloknak megfelelő eredménnyel záródott.  Az üzemi léptékre emelés a projekt zárás pillanatában nem érte el a célzott eredményt, hiszen a magas hozzáadott értékű Kismama gyógy-tápsört, mint piackész terméket nem sikerült előállítanunk. Ugyanis a mintaként szolgáló 1960-80 években a Kőbányai sörgyár által előállított Nektár Gyógy-tápsör (mint kismamáknak szánt tejserkentő és energizáló magas ásványianyag és vitamintartalmú ital) is tartalmazott alkoholt, amit az akkori szabályok engedélyeztek is, de mi a jelenlegi tudományos ismereteknek és az érvényben lévő jövedéki szabályozásnak megfelelően az alkoholmentes funkcionális sör előállítását céloztuk.  A szakmai összefoglaló 6. pontjában a két szakértő, kutató-fejlesztő munkatárs az alábbi következtetés, javaslatot fogalmazta meg az üzemi próbafőzéseket követően: ’A nektársör gyártási technológiáját sikerült adaptálni az üzemi körülmények közé. Az elvégzett tesztfőzések egyértelmű válaszokat adtak az üzem és ezzel együtt a benne lévő technológia erősségeire, illetve esetleges hiányosságaira. Egy termék léptéknövelése üzemi körülmények közé egy szisztematikusan felépített feladatsorozatot igényel, amelynek vannak egyértelműen sikeres részei és vannak olyanok, amelyeket a sok munka ellenére még finomítani kell, hogy a kialakított termék az elképzelt minőségben és reprodukálhatóan gyártható legyen.  A főzőházi folyamatok részletes dokumentálása alátámasztja, hogy olyan alapreceptet sikerült összeállítani, amely megfelel egy nektársör elvárásainak. Az erjesztés folyamatát sikerült úgy optimálni, hogy szigorú technológiai fegyelem mellett, valamint a sörkezelés (szűrés, pasztőrözés) és fejtés rendelkezésre állása mellett alkoholszegény nektársör előállítható. A piaci trendek igényei viszont egy alkoholmentes nektársör előállítását teszik szükségessé, amely üzemszerű gyártásához további optimálások szükségesek az erjesztési oldalon. Mindenképpen szükséges a hőrétegződés kialakulásának eliminálása a hidegerjesztési szakaszban, ugyanis a hidegerjesztés kezdetén a minimális széndioxid termelődés miatt nincs meg a megfelelő körforgás (önkeveredés) a tartályban. Továbbá szükséges az erjedő sörből az élesztő elvételének pontos idejét meghatározni, amely lépés történhet a rendelkezésre álló szűrési technikával. Továbbá javasoljuk az alkoholtartalom alakulásának egzakt, gyors nyomon követéséhez egy alkoholmérésre alkalmas berendezés beszerzését.’ A projekt szakmai összefoglaló jelentéséből kiolvasható következtetések alapján, a termékkel érdemes a jövőben tovább foglalkozni, hiszen a cél elérhető, de ahhoz a technológia további fejlesztése szükséges. Az alkohol mérésére szolgáló berendezés (előzetes felmérés alapján 12- 15.000.000.- Ft), míg a hőrétegződés kiküszöbölésére szolgáló berendezés további tervezői egyeztetést igényel. A szükséges fejlesztést a társaság az anyagi helyzetének, a piaci viszonyok helyreállása után tervezett formában kívánja végrehajtani. A jelenlegi Covid’19 által okozott globális – piaci, életviteli, stb. – nehézségek normalizálódásának időpontja és módja nem tervezhető, következményei kiszámíthatatlanok, ezért a szükséges beruházásokról a társaság később tud dönteni.  A megszerzett tapasztalatok bizonyítják, hogy a know-how működőképes (hiszen az egyetemi fél-üzemi kísérletek alatt el lehetett érni a >0,5 m/m % alkoholtartalmat, ezért a jövőben a feltárt hiányosságok javítása után folytatnunk kell a megkezdett munkát. Az elkészült termékek bevezetését megelőző tesztelést, kóstoltatást, palackozási, kiszerelési kísérleteket, tárolási próbákat el tudtuk végezni, ami szintén pozitívum, hiszen így megszereztük azt a tapasztalatot, amivel a majdani gyárthatóság garantált.

opencc-by-4.0Jun 2024View details →

Quantifying Winter Forage Resources for Reindeer: Developing a Method to Estimate Ground Lichen Cover and Biomass at a Local Scale

Data and R scripts used in the paper Quantifying Winter Forage Resources for Reindeer: Developing a Method to Estimate Ground Lichen Cover and Biomass at a Local Scale (https://doi.org/10.1016/j.tfp.2024.100768).

dryad32/100

Data from: Functional modularity and mechanical stress shape plastic responses during fish development

The adaptive potential of plastic phenotypes relies on combined developmental responses. Here, we investigated how manipulation of developmental conditions related to foraging mode in Megaleporinus macrocephalus fish induces plastic responses at different levels: 1) functional modularity of skull bones, 2) biomechanical properties of the chondrocranium using Finite Element Models, 3) bmp4 expression levels, used as a proxy for molecular pathways involved in bone responses to mechanical load. We identified new modules in the experimental groups, suggesting increased integration in head bone elements associated with the development of subterminal and upturned mouths, which are major features of Megaleporinus plastic morphotypes released in the lab. Plastic responses in head shape involved differences in the magnitude of mechanical stress, which seem restricted to certain chondrocranium regions. Three bones represent a 'mechanical unit' related to changes in mouth position induced by foraging mode, suggesting that functional modularity might be enhanced by specific regions responding to load. Differences in bmp4 expression levels between plastic morphotypes indicate associations between molecular signaling pathways and biomechanical responses to load. Our results offer a multilevel perspective of epigenetic factors involved in plastic responses, expanding our knowledge about mechanisms of developmental plasticity that originate novel complex phenotypes.

opencc-zeroJun 2024View details →

opencc-by-sa-4.0Jun 2024View details →

Technology Acquisition Plans to Foster Supply Chain Risk Management Learning Outcomes in Project-Based Software Development Courses: Raw Data and TAP Template

This is a data set and TAP template to accompany the paper "Technology Acquisition Plans to Foster Supply Chain Risk Management Learning Outcomes in Project-Based Software Development Courses" by Tenbergen and Mead published at the 36th International Conference on Software Engineering Education and Training.

opencc-by-nc-nd-4.0Jun 2024View details →

Narrative development sequences from comic strips used in the Storytelling in Sequence Task (STST) - Tâche de Narration d'Histoires en Séquence (TNHS)

The stimuli presented in la Tâche de Narration d'Histoires en Séquence (TNHS) correspond to 9 sequences of 6 comic-style images. These sequences were developed by Sophie Courchesne and Sonia Routhier, under the supervision of Marion Fossard, as part of a master's thesis in speech-language pathology at Laval University, Quebec, Canada.   The TNHS  - or Storytelling in Sequence Task (TSST) in English -  was subsequently introduced in an article by Fossard, Achim, et al. published in 2018 in the journal Frontiers in Psychology.    To cite this material:   Courchesne, S., & Routhier, S. (2009). Tâche de narration d'histoires en séquence et son analyse référentielle (Master's essay, Université Laval). Université Laval, Québec, Canada.   Fossard M, Achim AM (co-first authors), Roussier-Vercruyssen L, Gonzalez S, Bureau A, Champagne-Lavau M. (2018). Referential choices in a collaborative storytelling task: Discourse stages and referential complexity matter. Frontiers in Psychology: Language Sciences, vol. 9, article 176. doi: 10.3389/fpsyg.2018.00176 TERMS OF USE: This material belongs to Marion Fossard and her research team. It may be used for research or clinical purposes if the following conditions are met:  Commercial use is prohibited;  The source must be cited in any publication resulting from the use of this material;  No changes may be made to the material without the agreement of Marion Fossard (marion.fossard@unine.ch); Any clinical use must recognise the limitations of the test.

opencc-by-4.0Jun 2024View details →

raw data Figure 1 of the paper entitled "Plasma metabolic signature predictive of developing cancer in patients with Lynch syndrome "

Open the record for dataset details and reuse information.

openmit-licenseMay 2024View details →

Dataset: Active learning streamlines development of high performance catalysts for higher alcohol synthesis

In this repository there are five Excel files, three Jupyter notebook files, and a zip archive containing Origin files.  The Full_catalytic_performance_data.xlsx file comprises all the experimental and computational catalytic data complied as a part of the research work titled "Active learning streamlines development of high performance catalysts for higher alcohol synthesis" carried out at the Advanced Catalysis Engineering group, ETHZ. The Source_data.xlsx file and .opju files contain the raw data used to create the display items in the manuscript. The repository contains three additional files "Modelling_Data_Phase_1.xlsx", "Modelling_Data_Phase_2.xlsx", "Modelling_Data_Phase_3.xlsx" which contain the curated data to run the Gaussian process -Bayesian Optimization algrotihm across three specific active learning Phases devised in this study. The python codes necessary to run the model are provided as Jupyter Notebook (.ipynb) files and are also available on GitHub in the link provided below.

opencc-by-4.0Jun 2024View details →

Quantitative Assessment of G7's Collaboration in Sustainable Development Goals

<div> </div> Authors:  Kai Liu [1], Ali Raisolsadat (<a href="mailto:arraisolsadat@uwaterloo.ca">arraisolsadat@uwaterloo.ca</a>) [2], Xander Wang (<a href="mailto:xxwang@upei.ca">xxwang@upei.ca</a>) [3,4], and Quan Van Dau (<a href="mailto:vdau@upei.ca">vdau@upei.ca</a>) [3,4] Institutions: <ol> <li>School of Mathematical and Computational Sciences, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada C1A 4P3</li> <li>Faculty of Mathematics, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1</li> <li>Canadian Centre for Climate Change and Adaptation, University of Prince Edward Island, St. Peter's Bay, Prince Edward Island, Canada C0A 2A0</li> <li>School of Climate Change and Adaptation, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada C1A 4P3</li> </ol> Corresponding Author: Dr. Xander Wang Contact Information: <a href="mailto:xxwang@upei.ca">xxwang@upei.ca</a> <div> <h2>Repository Contents</h2> </div> This repository contains the code and data for the project titled "Quantitative Assessment of G7's Collaboration in Sustainable Development Goals". <div> <h2>Information about the Folders</h2> </div> <ul> <li><code>sdg_raw_data</code>: Contains the raw Sustainable Development Goals indicator data from the "Our World in Data" database.</li> <li><code>sdg_grouped_raw_data</code>: Contains the raw SDG indicator data, but grouped for each goal (1-15).</li> <li><code>results_datasets</code>: Contains the main results for Domestic Changes, Foreign Changes, and Synergy data in <code>.CSV</code> and <code>.RData</code> formats.</li> <li><code>main_manuscript_figures</code>: Contains the 5 main figures used in the manuscript text.</li> <li><code>s1_s12_supplementary_figures</code>: Contains the 12 figures from the supplementary material of the manuscript.</li> <li><code>partial_true_direction_un.csv</code>: Contains the indicator directions from Table 1 of the manuscript.</li> <li><code>SDG_Data.xlsx</code>: An Excel file which contains all the data used in the manuscript results in multiple sheets, including SDG raw data and results datasets.</li> </ul> <div> <h2>Prerequisites</h2> </div> <ul> <li>R: Please ensure that you have installed the latest version of the R software for your device. You can download it from <a href="https://cran.r-project.org/" rel="nofollow">CRAN</a>.</li> <li>RStudio: It is recommended to use RStudio for running the R scripts. You can download it from <a href="https://rstudio.com/products/rstudio/download/" rel="nofollow">RStudio's official website</a>.</li> </ul> <div> <h2>How to Run</h2> </div> <ol> <li>Download <a href="../api/records/11659806/draft/files/Synergy-2024-1.0.0.zip/content" target="_blank" rel="noopener noreferrer">Synergy-2024-1.0.0.zip</a> to your local computer and unzip it</li> <li> Set the directory to the unzipped folder </li> <li>Set the R working directory to the unzipped folder</li> <li> Run Main Code: <ul> <li>Open and run the <code>gross_synergy_markdown.Rmd</code> file. This is the main code for our manuscript.</li> <li>The resulting datasets will be saved in the <code>results_datasets</code> folder.</li> </ul> </li> <li> Generate Figure 1: <ul> <li>Open and run <code>figure_1.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> folder.</li> </ul> </li> <li> Generate Figure 2: <ul> <li>Open and run <code>figure_2.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> and <code>s1_s12_supplementary_figures</code> folders, respectively.</li> </ul> </li> <li> Generate Figure 3: <ul> <li>Open and run <code>figure_3.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> folder.</li> </ul> </li> <li> Generate Figure 4: <ul> <li>Open and run <code>figure_4.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> and <code>s1_s12_supplementary_figures</code> folders, respectively.</li> </ul> </li> <li> Generate Figure 5: <ul> <li>Open and run <code>figure_5.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> folder.</li> </ul> </li> </ol>

opennotspecifiedDec 2023View details →

Development of species known from each of Maranhão's river basins. Numbers of species from the original CLOFFBR-MA in blue, additions from the present update in red. in CLOFFBR-MA - update 1 - supplement to Checklist of the freshwater fishes of Maranhão, Brazil.

Development of species known from each of Maranhão's river basins. Numbers of species from the original CLOFFBR-MA in blue, additions from the present update in red.

FIGURE 1 in A new species of direct-developing frog of the genus Eleutherodactylus (Anura: Eleutherodactylidae) from Tamaulipas, Mexico

FIGURE 1. Distribution of some members of the Eleutherodactylus longipes species clade in eastern Mexico. State names are indicated.

FIGURE 4. A in A new species of direct-developing frog of the genus Eleutherodactylus (Anura: Eleutherodactylidae) from Tamaulipas, Mexico

FIGURE 4. A) Photo in life of an individual of Eleutherodactylus coelum sp. nov. from El Cielo Biosphere Reserve, Tamaulipas, Mexico. B) Head in lateral view of the holotype of E. coelum sp. nov. (IBH 36351) in preservative; C) hand in ventral view; D) foot in ventral view. Scale bar is 1 mm. Photos: M. Delia Basanta (4A) and Susana Guzmán Gómez (4B–D).

FIGURE 3 in A new species of direct-developing frog of the genus Eleutherodactylus (Anura: Eleutherodactylidae) from Tamaulipas, Mexico

FIGURE 3. Non-Metric Multidimensional Scaling (nMDS) ordination of 24 morphometrical variables of Eleutherodactylus coelum sp. nov. (magenta), E. cystignathoides (green), E. dennisi (blue), E. potosiensis (orange), and E. sp. Ahuacatlán (black).

FIGURE 2 in A new species of direct-developing frog of the genus Eleutherodactylus (Anura: Eleutherodactylidae) from Tamaulipas, Mexico

FIGURE 2. Maximum likelihood tree (lnL= -9220.691636) for the Eleutherodactylus longipes species clade based on partial sequences of the mitochondrial genes 16S, COI, and Cyt b. The clade in magenta shows the position of E. coelum sp. nov. Values at the nodes are the bootstrap support.