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18,621 results for “development;”
Dataset of article: Investigating Developers' Perception on Success Factors for Research Software Development
<p>This dataset is an addendum to the article "Investigating Developers' Perception on Success Factors for Research Software Development" to provide information regarding the anonymously collected data.</p> <p> </p> <p> </p> <p> </p>
Data to test IDP for agriculture in developing countries
<p>The data has variables capturing net outward foreign direct investment per capita, gross domestic product per capita and trade openness for agriculture in developing countries. The other variables are the official exchange rate, gross secondary school enrolment in per cent and inflation measured as per cent of CPI growth. These are for the total economy. </p> <p>Net outward foreign direct investment per capita (NOFDIPC) was constructed as outward foreign direct investment less inward foreign direct investment for agriculture, forestry and fishing. The sum is divided by the population of both sexes. The foreign direct investment and population data were obtained from FAOSTAT (https://www.fao.org/faostat/en/#data/FDI; https://www.fao.org/faostat/en/#data/OA). The gross domestic product per capita (GDPPC) was computed as agricultural value added divided by the population. Agricultural value added was also obtained from FAOSTAT (https://www.fao.org/faostat/en/#data/MK). Trade openness (AGTO) was computed as agricultural exports plus imports divided by agricultural value added. The exports and imports were obtained from FAOSTAT (https://www.fao.org/faostat/en/#data/TCL). Others; official exchange rate (EXRATE), gross secondary school enrolment in per cent (HC) and inflation measured as per cent of CPI growth (INFLA) were drawn from the world development indicators database of the World Bank (https://databank.worldbank.org/source/world-development-indicators#).</p>
Simulated Well Production Data using a Transient Well Model and a Developed Simulator
<p>This is a simulated dataset of transient well production data. This dataset was used in my Masters thesis at King Abullah University of Science and Technology (KAUST), and it is shared for academic use and research work.</p> <p>The dataset has 100 wells simulated at time steps of 0.2 hours for an entire year. This gives 43,800 observations per well, and grand total of 4,380,000 observations in the entire dataset. The resulting production data is then perturbed with systemic and random gauge errors to better simulate real-world gauge readings.</p> <p>The simulator code used to generate this dataset can be found at: <a href="https://github.com/ykh-1992/TransientNodalAnalysis.jl">https://github.com/ykh-1992/TransientNodalAnalysis.jl</a></p> <p>The data consists of three files:<br> - "wells.csv": This file details the input parameters for each simulated well.<br> - "data.zip": This file houses an 850 MB "data.csv" that includes the simulated well production data.<br> - "auxiliary.csv": This file includes information related to the simulation run.</p>
Data and supplementary material for the paper "Development of an IntelliCage based Cognitive Bias Test for Mice."
<p>All raw data, R scripts for analysis and the supplementary material related to the paper "Development of an IntelliCage based Cognitive Bias Test for Mice." are available to the scientific public here. A preprint version of the paper will be published on bioRxiv. </p> <p>Version 2 contains R scripts, version 1 does not.</p> <p>Version 3: For better clarity, the data were saved as .ods files. Each .ods file contains the data for one developmental step. The R scripts are still available as .txt files. In addition, an ARRIVE checklist was added.</p> <p>Version 4: xlsx instead of ods fiels</p> <p>Version 5: Extended supplemet PDF file<br> Added GroupTwo_Entries and GroupThree_Entries txt files</p> <p>A pre-print version can be found at bioRxiv: https://www.biorxiv.org/content/10.1101/2022.10.19.512853v1 </p>
Data from: Development time, survival, and performance of Lepidoptera reared at constant temperatures
<p><span>This dataset is a compilation of lepidopteran development and survival rates measured at constant temperatures in the laboratory and reported in peer-reviewed publications. We compiled these data to reconstruct thermal performance curves. Thermal performance curves (TPCs) depict variation in vital rates in response to temperature and have been an important tool to understand ecological and evolutionary constraints on the thermal sensitivity of ectotherms. TPCs allow for the calculation of indicators of thermal tolerance, such as minimum, optimum, and maximum temperatures that allow for a given metabolic function. However, these indicators are computed using only responses from surviving individuals, which can lead to underestimation of deleterious effects of thermal stress, particularly at high temperatures. We advocate for an integrative framework for assessing thermal sensitivity, which combines both vital rates and survival probabilities, and focuses on the temperature interval that allows for population persistence. Using a collated data set of lepidopteran development rate and survival measured on the same individuals, we showed (see associated publication) that development rate is generally limiting at low temperatures, while survival is limiting at high temperatures. We also uncover differences between life stages and across latitudes, with extended survival at lower temperatures in temperate regions. Our combined performance metric demonstrates similar thermal breadth in temperate and tropical individuals, an effect that only emerges from integration of both development and survival trends. We discuss the benefits of using this framework in future predictive and management contexts.</span></p>
Theory-guided development of homogeneous catalysts for the reduction of CO2 to formate, formaldehyde, and methanol derivatives
<p>The stepwise catalytic reduction of carbon dioxide (CO<sub>2</sub>) to formic acid, formaldehyde, and methanol opens non-fossil pathways to important platform chemicals. The present article aims at identifying molecular control parameters to steer the selectivity to the three distinct reduction levels using organometallic catalysts of earth-abundant first-row metals. A linear scaling relationship was developed to map the intrinsic reactivity of 3d transition metal pincer complexes to their activity and selectivity in CO<sub>2</sub> hydrosilylation. The hydride affinity of the catalysts was used as a descriptor to predict activity/selectivity trends in a composite volcano picture, and the outstanding properties of cobalt complexes bearing bis(phosphino)triazine PNP-type pincer ligands to reach the three reduction levels selectively under different reaction conditions could thus be rationalized. The implications of the composite volcano picture were successfully experimentally validated with selected catalysts, and the challenging intermediate level of formaldehyde could be accessed in over 80% yield with the cobalt complex <strong>6</strong>. The results underpin the potential of tandem computational-experimental approaches to propel catalyst design for CO<sub>2</sub>-based chemical transformations.</p>
Fig. 37. Character 38. Male opercula development, states 0–9 in An Appraisal of the Higher Classification of Cicadas (Hemiptera: Cicadoidea) with Special Reference to the Australian Fauna
Fig. 37. Character 38. Male opercula development, states 0–9: (0) more or less confluent with distal margin of tympanal cavity, well developed towards abdominal midline with sharply rounded apices facing midline, clearly separated; (1) more or less reaching margin of tympanal cavity (rarely beyond), directed towards distomedial margin of tympanal cavity, apically broadly rounded, not meeting; (2) covering rim of distal margin of tympanal cavity, overlapping; (3) distant from lateral margin of tympanal cavity, directed towards distomedial margin of tympanal cavity, apically tapering to a blunt point, inner margin straight, clearly not meeting; (4) tending linear, both outer and inner margins straight or nearly so, distal margin broadly rounded, distally expanded towards midline, reaching distal margin of tympanal cavity or beyond, not meeting; (5) reaching far beyond tympanal cavity to cover some 2⁄ length of abdomen, 3 clearly separated; (6) completely covering tympanal cavity, completely encapsulating meracanthus, not overlapping; (7) nearly triangular, strongly cupped, covering and extending beyond tympanal cavity, completely encapsulating meracanthus, not meeting; (8) narrow, tending parallel-sided, lacking a distinct lateral angle, development towards abdominal midline, short of distal margin of tympanal cavity, far from meeting; (9) lateral margin arising considerably indented from basal extremity, partly encapsulating meracanthus, distal margin nearly straight, never closing tympanal cavity.
Results and log of LLM-KG-Bench runs described in article "Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering", Meyer et al. 2023
<p>Results and logs of <a href="https://github.com/AKSW/LLM-KG-Bench">LLM-KG-Bench</a> runs described in article "Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering", Meyer et al., to appear in <a href="https://2023-eu.semantics.cc/page/accepted_posters">SEMANTICS 2023 poster track</a> proceedings.</p>
Use of historical isoscapes to develop an estuarine nutrient baseline
<p class="MsoNormal"><span>Coastal eutrophication is a prevalent threat to the healthy functioning of ecosystems globally. While degraded water quality can be detected by monitoring oxygen, nutrient concentrations, and algal abundance, establishing regulatory guidelines is complicated by a lack of baseline data (e.g., pre-Anthropocene). We use historical carbon and nitrogen isoscapes from sediment cores to reconstruct spatial and temporal changes in nutrient dynamics for a central California estuary, where development and agriculture dramatically enhanced nutrient inputs over the past century. We found strong contrasts between current sediment stable isotopes and those from the recent past, demonstrating </span>shifts exceeding those in previously studied eutrophic estuaries and <span>substantial increases in nutrient inputs. Comparisons of contemporary with historical isoscapes also revealed that nitrogen sources shifted from a marine-terrestrial gradient to amplified denitrification at the head and mouth of the estuary. Geospatial analysis of historical data suggests that an increase in fertilizer application – rather than population growth or increases in the extent of cultivated land – is chiefly responsible for increasing nutrient loads during the 20<sup>th</sup> century. This study demonstrates the ability of isotopic and stoichiometric maps to provide important perspectives on long-term shifts and spatial patterns of nutrients that can be used to improve management of nutrient pollution.</span></p>
The need to develop tailored tools for improving the quality of thematic bibliometric analyses: Evidence from papers published in Sustainability and Scientometrics (Dataset)
<p>This dataset contains the data used to completed the article under peer review:</p> <p>References:<br> Cabezas, A.; Milanés, Y.;Alba, R.; Delgado, A.M. (2023). The need to develop tailored tools for improving the quality of thematic bibliometric analyses: Evidence from papers published in Sustainability and Scientometrics. (Article under peer review)</p> <p>Institutions: Spain (Universidad Internacional de La Rioja, Universidad Pablo de Olavide, Hospital Universitario Virgen de las Nieves)</p>
Trade-offs between Sustainable Development Goals in carbon capture and utilisation
<p>Dataset associated with the publication "Trade-offs between Sustainable Development Goals in carbon capture and utilisation" by Iasonas Ioannou, Ángel Galán-Martín, Javier Pérez-Ramírez, and Gonzalo Guillén-Gosálbez, available at <a href="https://doi.org/10.1039/D2EE01153K">https://doi.org/10.1039/D2EE01153K</a>. The dataset includes the numeric data required to plot all the figures embedded in the main manuscript.</p>
Developing circularity, renewability and efficiency indicators for sustainable resource management : propanol production as a showcase
<p>The data used for the exergy calculations in the associated article.</p>
Schematic of the spit development at the Prins Hendrikzanddijk, Texel, The Netherlands.
<p>This schematic figure is used on the information sign of the CoastSnap station overlooking the Prins Hendrikzanddijk, on the island of Texel, the Netherlands. The figure (annotated in Dutch) shows a schematic representation of the natural development of a spit over time, at the end of the artificial beach.</p>
Forschungsprojekt: Digitalisierung, Klassifikationen und Gesundheits-Apps. Dataset B - Document analysis for health app users and developers
<p><strong>Allgemeine Hinweise Data Set B</strong></p> <ol> <li>Titel des Forschungsprojekts</li> </ol> <p>Digitale Gesundheitsklassifikationen in Apps - Praktiken und Probleme ihrer Entwicklung und situativen Anwendung. Projektleitung: Prof. Dr. Rainer Diaz-Bone. Bearbeitung: Valeska Cappel Dipl. Soz., Miriam Kutt (Hilfsassistenz). Laufzeit: 2019-2023. Finanzierung: Schweizer Nationalfonds.</p> <p>2. PrimärforscherInnen:</p> <ul> <li>Rainer Diaz-Bone</li> <li>Valeska Cappel</li> <li>Miriam Kutt</li> </ul> <p>3. Publikationsjahr:</p> <ul> <li>2023</li> </ul> <p>4. Hinweise zur Verfügbarkeit</p> <p>Die Daten werden über LORY (Lucerne Open Repository) dauerhaft zugänglich gemacht.</p> <ul> <li>Alle Dateien die sich auf die App-Entwicklung beziehen beginnen mit E</li> <li>Alle Dateien die sich auf die App-Nutzung beziehen beginnen mit N</li> </ul> <p>5. Fachgebiet</p> <ul> <li>Soziologie</li> </ul> <p>6. Kategorie und Schlagwörter</p> <ul> <li>Gesundheitswesen</li> <li>Selbstvermessung</li> <li>Gesundheits-Apps</li> <li>Klassifikationen</li> <li>Pragmatismus</li> <li>Economics of convention</li> <li>Soziologie der Konventionen</li> <li>Digitalisierung</li> </ul> <p>7. Abstract, wozu die Daten erhoben wurden</p> <p>Die Daten wurden für eine Dokumentenanalyse erhoben. Ausgewählt wurden (1) Daten von forschungsrelevanten Akteuren oder Institutionen, die nicht für ein Interview gewonnen werden konnten und (2) Medienberichte, Anleitungen, Beschreibungen von präventiven Gesundheits-Apps, Wissenschaftliche Berichte (White Papers, Ausschreibungen) sowie Bewertungen von diesen Gesundheits-Apps aus dem „App-Store“ und „Google-Play-Store“ (Plattformen zum Download von Apps). Ziel war es mit diesen Dokumenten weitere Analysen durchzuführen, die diskursanlytische Aussagen über die Entstehung und Nutzung von präventiven Gesundheits-Apps sowie Entwicklungen im Feld der digitalen Gesundheit zulassen. Gleichzeitig wurden auch Dokumente, wie Nutzer-Bewertungen erhoben, um die Interviews zu ergänzen aus einer pragmatischen Perspektive Aushandlungs- und Problemlösungsprozesse im Umgang mit Gesundheits-Apps und der damit verbundenen Technologie zu untersuchen.</p> <p>8. Untersuchungsgebiet</p> <p>Das Untersuchungsgebiet liegt im Bereich der digitalen Gesundheit und beschränkt sich im Speziellen auf die Prozesse der Entwicklung von Gesundheits-Apps, sowie die Nutzung der Gesundheits-Apps. Untersuchungsgebiet waren öffentlich zugängliche Medien sowie die Gesundheits-App selbst. Dabei wurden Unternehmen, Zeitschriften, Blogs und Apps, die sich konkret mit der App-Entwicklung, der App-Nutzung oder der Berichterstattung über präventive Gesundheits-Apps beschäftigen ausgewählt zur Dokumentenerhebung ausgewählt. Bei der Auswahl wurden der Fokus darauf gelegt Inhalte auszuwählen, die sich nicht auf Gesundheits-App als Medizinprodukte konzentrieren, sondern auf präventive Gesundheits-Apps, die kein spezifisches Krankheitsbild adressieren, sondern einen allgemeinen positiven Gesundheitszustand herstellen oder erhalten sollen. </p> <p>9. Gesamtheit auf die generalisiert werden könnte („Grundgesamtheit“)</p> <p>Insgesamt wurden ca. 300 Dokumente erhoben.</p> <p>10. Auswahlverfahren und Stichproben</p> <p>Die Daten im Projekt wurden anhand qualitativer Methoden gewonnen. Die Fälle und Daten wurden über die Methode der „Theoretical-Sampling-Technik“ ausgewählt. Die genauen Begründungen zur Auswahl der Fälle wurden im Verlauf des Projektes theoretisch erarbeitet. Dabei wurde sich dem Forschungsfeld der präventiven Gesundheits-Apps mit heuristischen Vermutungen angenähert, die anhand der Konzepte der Theorie der Konventionen und einer machttheoretischen Perspektive Foucaults entwickelt wurden. Gesundheit und Gesundheitshandlungen wurden dabei aus einer pragmatischen Perspektive als ein Ergebnis von Koordinationsbemühungen zwischen Akteuren, Gegenständen, Technologien und Machtstrukturen verstanden. Die Auswahl der Dokumente stützte sich besonders auf die Memos und Inhalte der vorher geführten Interviews und den daraus entwickelten heuristische Fragestellungen während des Forschungsprozesses.</p> <p>11. Erhebungszeitraum</p> <p>Die Dokumente wurden in dem Zeitraum 2019-2023 erhoben. Das Datum in den Dateinamen bezieht sich immer auf den Erhebungszeitpunkt</p> <p>Sprache</p> <ul> <li>Deutsch und Englisch</li> </ul> <p>12. Größe des Datensatzes</p> <ul> <li>ca. 45 MB</li> </ul> <p>13. Verwendete Dateiformate und notwendige Software</p> <ul> <li>Dateiformat: PDF (Portable Document Format) und RTF (Rich Text Format)</li> </ul> <p>Software:</p> <ul> <li>RTF Standard-Textprogrammen auf unterschiedlichen Betriebssystemen (Bspw. Word, Wordpad, LibreOffice, OpenOffice)</li> <li>PDF: PDF-Programme/Reader oder auch ATLAS</li> </ul> <p> </p>
Forschungsprojekt: Digitalisierung, Klassifikationen und Gesundheits-Apps. Dataset A - Transcript of interviews with health app users and developers
<p><strong>Allgemeine Hinweise Data Set A</strong></p> <p>1. Titel des Forschungsprojekts in dessen Rahmen die Daten entstanden sind:</p> <p>"Digitale Gesundheitsklassifikationen in Apps - Praktiken und Probleme ihrer Entwicklung und situativen Anwendung. Projektleitung: Prof. Dr. Rainer Diaz-Bone. Bearbeitung: Valeska Cappel Dipl. Soz., Miriam Kutt (Hilfsassistenz). Laufzeit: 2019-2023. Finanzierung: Schweizer Nationalfonds."</p> <p>2. PrimärforscherInnen:</p> <ul> <li>Rainer Diaz-Bone</li> <li>Valeska Cappel</li> <li>Miriam Kutt</li> </ul> <p>3. Publikationsjahr:</p> <ul> <li>2023</li> </ul> <p>4. Hinweise zur Verfügbarkeit</p> <p>Die Daten werden über LORY (Lucerne Open Repository) dauerhaft in Form von Transkripten zugänglich gemacht.</p> <p>5. Fachgebiet</p> <ul> <li>Soziologie</li> </ul> <p>6. Kategorie und Schlagwörter</p> <ul> <li>Gesundheitswesen</li> <li>Selbstvermessung</li> <li>Gesundheits-Apps</li> <li>Klassifikationen</li> <li>Pragmatismus</li> <li>Economics of convention</li> <li>Soziologie der Konventionen</li> <li>Digitalisierung</li> </ul> <p>7. Abstract, wozu die Daten erhoben wurden</p> <p>Ziel der Datenerhebung war es die Bewusstseinsstrukturen, Meinungen, Einstellungen und Aushandlungs- und Problemlösungsprozesse der Versuchsteilnehmer (Experten aus dem Gesundheitswesen und der App-Nutzenden) zu präventiven Gesundheits-Apps zu erheben. Für ein kontrolliertes Erhebungsverfahren wurde dazu die qualitative Methode des Interviews durchgeführt. Mit dieser Methode wurden die Daten als Teil-Aspekte der Realität der Befragten verstanden und erhoben. Die Daten beinhalten Interpretations- und Deutungs-, und Bewertungsschemata, Motivationsstrukturen und Aushandlungsprozesse sowie Sachinformationen zu dem Umgang und der Entwicklung von Gesundheits-Apps.</p> <p>8. Untersuchungsgebiet</p> <p>Das Untersuchungsgebiet liegt im Bereich der digitalen Gesundheit und beschränkt sich im Speziellen auf die Prozesse der Entwicklung von Gesundheits-Apps, sowie die Nutzung der Gesundheits-Apps. Untersuchungsgebiet waren damit Personen, die in einem Unternehmen im Gesundheitsfeld arbeiten und an der App-Entwicklung beteiligt sind, sowie Personen die Gesundheits-Apps in ihrem Alltag aktiv benutzen.</p> <p>9. Gesamtheit auf die generalisiert werden könnte („Grundgesamtheit“)</p> <p>Im Rahmen der qualitativen Interviews wurden 20 Personen befragt.</p> <p>10. Auswahlverfahren und Stichproben</p> <p>Die Daten im Projekt wurden anhand qualitativer Methoden gewonnen. Die Fälle und Daten wurden über die Methode der „Theoretical-Sampling-Technik“ ausgewählt. Die genauen Begründungen zur Auswahl der Fälle wurden im Verlauf des Projektes theoretisch erarbeitet. Dabei wurde sich dem Forschungsfeld der präventiven Gesundheits-Apps mit heuristischen Vermutungen angenähert, die anhand der Konzepte der Theorie der Konventionen und einer machttheoretischen Perspektive Foucaults entwickelt wurden. Gesundheit und Gesundheitshandlungen wurden dabei aus einer pragmatischen Perspektive als ein Ergebnis von Koordinationsbemühungen zwischen Akteuren, Gegenständen, Technologien und Machtstrukturen verstanden. In den Analyseschritten der Codierung und Auswertung der Interviews und Dokumente, wurden zur Qualitätssicherung Memos angelegt. Diese Memos bildeten eine theoretische Grundlage für weitere Auswahlprozesse des Materials. Diese Methode des Theoretical-Samplings wurde zudem durch die Methode des Schneeball-Systems ergänzt, indem interviewte Personen immer nach weiteren Kontakten befragt wurden und neu genannte Kontakte vor dem Hintergrund des Theoretical-Samplings ausgewählt wurden. </p> <p>11. Erhebungszeitraum</p> <ul> <li>2019-2022</li> </ul> <p>12. Sprache</p> <ul> <li>19 Interviews deutsch</li> <li>1 Interview englisch</li> </ul> <p>13. Größe des Datensatzes</p> <ul> <li>1,07 MB</li> </ul> <p>14. Verwendete Dateiformate und notwendige Software</p> <ul> <li>Dateiformat: RTF</li> </ul> <p>Software: RTF Standard-Textprogrammen auf unterschiedlichen Betriebssystemen (Bspw. Word, Wordpad, LibreOffice, OpenOffice)</p>
Development and validation of a novel plasmid chassis system for screening of metabolite-responsive transcription factors
<p>This dataset contains the raw data that lie at the basis of the results discussed in <strong>Chapter 3: Development and validation of a novel plasmid chassis system for screening of metabolite-responsive transcription factors </strong>of the PhD thesis of Amber Bernauw. The README.txt file provides more information on the different data files.</p>
Spatiotemporal metabolome data from Bacillus subtilis swarm development
<p>Metabolome data and associated Matlab code used in the scientific article "Simultaneous spatiotemporal transcriptomics and microscopy of <em>Bacillus subtilis</em> swarm development reveal cooperation across generations" by the following authors: Hannah Jeckel*, Kazuki Nosho*, Konstantin Neuhaus, Alasdair D. Hastewell, Dominic J. Skinner, Dibya Saha, Niklas Netter, Nicole Paczia, Jörn Dunkel, Knut Drescher. The symbol "*" indicates an equal contribution.</p> <p>The Excel files AminoAcidResults.xslx and OrganicAcidResults.xlsx list raw data containing the positon and timepoints of sampling as well as metabolite concentrations given in µM. More details about these files are given in a ReadMe.txt file.</p> <p>The Excel file nSamples.xlsx summarizes the number of samples for each mean calculated during plotting.</p> <p>There are two m-files with Matlab code, which are used for plotting the metabolite data. To plot metabolite concentrations over time, open "displayData.m" and select the raw data file in lines 5 and 6. Then choose a path to save your data in line 9. Execute the Matlab script to obtain graphs.</p>
Spectral decomposition coefficients for spatiotemporal gene expression pattern identification in Bacillus subtilis swarm development
<p>Spectral decomposition coefficients, spatiotemporal gene expression pattern identification and multidimensional scaling coordinates of spatiotemporal transcriptomics data and image analysis results used to create Figure 2 in the scientific article "Simultaneous spatiotemporal transcriptomics and microscopy of <em>Bacillus subtilis</em> swarm development reveal cooperation across generations" by the following authors: Hannah Jeckel*, Kazuki Nosho*, Konstantin Neuhaus, Alasdair D. Hastewell, Dominic J. Skinner, Dibya Saha, Niklas Netter, Nicole Paczia, Jörn Dunkel, Knut Drescher. The symbol "*" indicates an equal contribution.</p> <p>This data consists of two excel sheets, one for the transcriptomics data and one for image analysis results (physical properties).</p> <p>Genes were ranked according to a spatiotemporal information score defined in the publication described above. For each gene, its name and ID (derived from locus tag) are given as identifiers. For information of reference genome used for mapping and convention on how gene names are chosen, see <a href="https://drescherlab.org/data/swarm-transcriptome/">https://drescherlab.org/data/swarm-transcriptome/</a>. Other columns in the sheet represent the spatiotemporal information score, assigned spatiotemporal pattern number, decomposition coefficient, multidimensional scaling coordinates and gene function.</p> <p>Physical properties are measured from short microscopy videos and defined in the publication mentioned above. This excel sheet contains property name, spatiotemporal information score, spectral decomposition coefficients and multidimensional scaling coordinates.</p>
Development of a pressure shock protocol to induce triploidy in tambaqui Colossoma macropomum (Cuvier, 1816)
<p>Dataset on triploidization, fertilization, larval survival and growth rates from trials used to develop a pressure shock protocol to induce triploidy in tambaqui Colossoma macropomum (Cuvier, 1816)</p>
Temperature during pupal development affects hoverfly developmental time, adult lifespan and wing length
<p><span>Hoverflies (Diptera, Syrphidae) are cosmopolitan, generalist flower visitors and among the most important pollinators after bees and bumblebees. The dronefly <em>Eristalis tenax</em> can be found in temperate and continental climates across the globe, often synanthropically. <em>Eristalis tenax</em> pupae of different generations and different climate zones are thus exposed to vastly different temperatures. </span><span>In many insects, the ambient temperature during the pupal stage affects development, adult size, and survival; however, the effect of developmental temperature on these traits in hoverflies is comparatively poorly understood. </span></p> <p><span>We here reared <em>Eristalis tenax </em>pupae at different temperatures, from 10°C to 25°C, and quantified the effect on adult hoverflies. </span><span>We found that pupal rearing at 17°C appeared to be optimal, with high eclosion rates, longer wings, and increased adult longevity. Rearing temperatures above or below this optimum led to decreased eclosion rates, wing size, and adult survival. Similar thermal dependence has been observed in other insects. </span><span>We found that rearing temperature had no significant effect on locomotor activity, coloration or weight, despite evidence of strong sexual dimorphism and batch identity effects for each of these traits. </span></p> <p><span>Our findings are important as hoverflies are key pollinators, and understanding the effects of developmental temperature could potentially be useful for horticulture. </span></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.