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2,164 results for “sustainability”

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dryad36/100

AGU Centennial Grand Challenge: Quantifying nutrient budgets for sustainable nutrient management

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publicFeb 2020View details →
dryad36/100

Data from: Sustained intestinal epithelial monolayer wound closure after transient application of a FAK-activating small molecule

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publicJul 2024View details →
dryad36/100

Management accounting practices mediate the relationship between enterprise resource planning system and sustainability performance under moderating role of corporate governance

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publicDec 2025View details →
dryad36/100

Data from: The lingering impact of stress: brief acute glucocorticoid exposure has sustained, dose-dependent effects on reproduction

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publicJun 2018View details →
dryad36/100

Data from: Sustained neurotrophin-3 delivery from hyaluronic acid hydrogels for neural tissue regeneration

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publicSep 2023View details →
dryad36/100

The role of green self-identity in enhancing green purchase intention and sustainable consumer behaviors

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publicDec 2025View details →
dryad36/100

Data from: Development of a sustainability assessment algorithm and its validation using case studies on cryogenic machining

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publicApr 2020View details →
dryad36/100

Data from: Can sustainable biocommerce continue to support conservation, or will the captive breeding of offspring be its Achilles heel?

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publicSep 2024View details →
dryad36/100

Mitochondrial respiratory complex III sustains IL-10 production in activated macrophages and promotes tumor-mediated immune evasion

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publicDec 2024View details →
dryad36/100

Data from: Sustained shift in the morphology of organic-walled microfossils over the Ediacaran-Cambrian transition

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publicJun 2025View details →
dryad36/100

Yangtze River basin ecological and hydrogeomorphic data relevant to regional hydrologic classification for sustainable dam operation

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publicDec 2021View details →
dryad36/100

Proposed managed aquifer recharge projects in California groundwater sustainability plans

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publicDec 2020View details →
zenodo32/100

The Effects of Tramadol and Paracetamol on Physical Performance, Brain Dynamics and Sustained Attention During Cycling Exercise: A Double Blind Randomized Placebo-Controlled Clinical Trial

<p>The purposes of the current project are: 1) to investigate further the effect of Tramadol on cycling (at the physical, cognitive and brain levels) on the basis of the preliminary results of the TRAWADA2015 study (<a href="https://zenodo.org/deposit/1308615">https://zenodo.org/deposit/1308615</a>); 2) to study the effect of paracetamol at the physical, cognitive and brain levels during an aerobic and anaerobic exercise on cycle-ergometer, and compare it to that of tramadol</p>

opencc-by-4.0Dec 2019View details →
zenodo32/100

Full list of signatories to: Pe'er et al. "Action needed for the EU Common Agricultural Policy to address sustainability challenges" (Preprint version)

<p>This is the list of signatories to the Scientists&#39; Statement on the EU&#39;s Common Agricultural Policy:</p> <p>&quot;Action needed for the EU Common Agricultural Policy to address sustainability challenges&quot; (Pe&#39;er et al. 2019).</p> <p>The preprint version (DOI: 10.5281/zenodo.3666258) has been made available online between 4.11.2019 and 19.2.2020.</p> <p>Signatories were requested to read the full statement prior to adding their name in its support; and to provide a proof that they are scientists.</p> <p>A final version of the paper has been published in March 2020 in the journal People and Nature.</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2019View details →
zenodo32/100

Text Analyses of Survey Data on "Mapping Research Output to the Sustainable Development Goals (SDGs)"

<p><strong>This package contains data on five text analysis types (term extraction, contract analysis, topic modeling, network mapping), based on the survey data where researchers selected research output that are related to the 17 Sustainable Development Goals (SDGs). This is used as input to improve the current SDG classification model v4.0 to v5.0</strong></p> <p><a href="https://sustainabledevelopment.un.org/sdgs">Sustainable Development Goals</a> are the 17 global challenges set by the United Nations. Within each of the goals specific targets and indicators are mentioned to monitor the progress of reaching those goals by 2030. In an effort to capture how research is contributing to move the needle on those challenges, we earlier have made an initial classification model than enables to quickly identify what research output is related to what SDG. (This <a href="https://aurora-network.global/project/sdg-analysis-bibliometrics-relevance/">Aurora SDG dashboard</a> is the initial outcome as <em>proof of practice</em>.)</p> <p>The initiative started from the Aurora Universities Network in 2017, in the working group &quot;<a href="https://aurora-network.global/activity/societal-impact-and-relevance-of-research-sirr/">Societal Impact and Relevance of Research</a>&quot;, to investigate and to make visible 1. what research is done that are relevant to topics or challenges that live in society (for the proof of practice this has been scoped down to the SDGs), and 2. what the effect or impact is of implementing those research outcomes to those societal challenges (this also have been scoped down to research output being cited in policy documents from national and local governments an NGO&#39;s).</p> <p><strong>Context of this dataset | classification model improvement workflow</strong></p> <p>The classification model we have used are 17 different search queries on the Scopus database.</p> <ul> <li>SDG search queries version 4.0 (SQv4) have been created, Published here: <ul> <li><a href="https://doi.org/10.5281/zenodo.3817443"><em>Search Queries for &quot;Mapping Research Output to the Sustainable Development Goals (SDGs)&quot; v4.0</em> by Aurora Universities Network (AUR) doi:10.5281/zenodo.3817443</a></li> </ul> </li> <li>A survey has been distributed to senior researchers to test the robustness of SQv4. Published here: <ul> <li><a href="https://doi.org/10.5281/zenodo.3798385"><em>Survey data of &quot;Mapping Research output to the Sustainable Development Goals SDGs&quot;</em> by Aurora Universities Network (AUR) doi:10.5281/zenodo.3798385</a></li> </ul> </li> <li>This text analysis has been made as one of the inputs to improve the classification model. Published here: <ul> <li><a href="https://doi.org/10.5281/zenodo.3832090"><em>Text Analyses of Survey Data on &quot;Mapping Research Output to the Sustainable Development Goals SDGs&quot;</em> by Aurora Universities Network (AUR) doi:10.5281/zenodo.3832090</a></li> </ul> </li> <li>Improved SDG search queries version 5.0 (SQv5) have been created, Published here: <ul> <li><a href="https://doi.org/10.5281/zenodo.3817445"><em>Search Queries for &quot;Mapping Research Output to the Sustainable Development Goals (SDGs)&quot; v5.0</em> by Aurora Universities Network (AUR) doi:10.5281/zenodo.3817445</a></li> </ul> </li> </ul> <p><strong>Methods used to do the text analysis</strong></p> <ol> <li><strong>Term Extraction</strong>: after text normalisation (stemming, etc) we extracted 2 terms in bigrams and trigrams that co-occurred the most per document, in the title, abstract and keyword</li> <li><strong>Contrast analysis</strong>: the co-occurring terms in publications (title, abstract, keywords), of the papers that respondents have indicated relate to this SDG (y-axis: True), and that have been rejected (x-axis: False). In the top left you&#39;ll see term co-occurrences that a clearly relate to this SDG. The bottom-right are terms that are appear in papers that have been rejected for this SDG. The top-right terms appear frequently in both and cannot be used to discriminate between the two groups.</li> <li><strong>Network map</strong>: This diagram shows the cluster-network of terms co-occurring in the publications related to this SDG, selected by the respondents (accepted publications only).</li> <li><strong>Topic model</strong>: This diagram shows the topics, and the related terms that make up that topic. The number of topics is related to the number of of targets of this SDG.</li> <li><strong>Contingency matrix</strong>: This diagram shows the top 10 of co-occurring terms that correlate the most.</li> </ol> <p><strong>Software used to do the text analyses</strong></p> <p>CorTexT: The <a href="https://www.cortext.net/">CorTexT Platform</a> is the digital platform of LISIS Unit and a project launched and sustained by IFRIS and INRAE. This platform aims at empowering open research and studies in humanities about the dynamic of science, technology, innovation and knowledge production.</p> <p><strong>Resource with interactive visualisations</strong></p> <p>Based on the text analysis data we have created a website that puts all the SDG interactive diagrams together. For you to scrall through. <a href="https://sites.google.com/vu.nl/sdg-survey-analysis-results/">https://sites.google.com/vu.nl/sdg-survey-analysis-results/</a></p> <p><strong>Data set content</strong></p> <p>In the dataset root you&#39;ll find the following folders and files:</p> <ul> <li><strong>/sdg01-17/</strong> <ul> <li>This contains the text analysis for all the individual SDG surveys.</li> </ul> </li> <li><strong>/methods/</strong> <ul> <li>This contains the step-by-step explanations of the text analysis methods using Cortext.</li> </ul> </li> <li><strong>/images/</strong> <ul> <li>images of the results used in this README.md.</li> </ul> </li> <li><strong>LICENSE.md</strong> <ul> <li>terms and conditions for reusing this data.</li> </ul> </li> <li><strong>README.md</strong> <ul> <li>description of the dataset; each subfolders contains a README.md file to futher describe the content of each sub-folder.</li> </ul> </li> </ul> <p>Inside an <strong>/sdg01-17/</strong>-folder you&#39;ll find the following:</p> <ul> <li>This contains the step-by-step explanations of the text analysis methods using Cortext.</li> <li><strong>/sdg01-17/sdg04-sdg-survey-selected-publications-combined.db</strong> <ul> <li>his contains the title, abstract, keywords, fo the publications in the survey, including the and accept or rejection status and the number of respondents</li> </ul> </li> <li><strong>/sdg01-17/sdg04-sdg-survey-selected-publications-combined-accepted-accepted-custom-filtered.db</strong> <ul> <li>same as above, but only the accepted papers</li> </ul> </li> <li><strong>/sdg01-17/extracted-terms-list-top1000.csv</strong> <ul> <li>the aggregated list of co-occuring terms (bigrams and trigrams) extracted per paper.</li> </ul> </li> <li><strong>/sdg01-17/contrast-analysis/</strong> <ul> <li>This contains the data and visualisation of the terms appearing in papers that have been accepted (true) and rejected (false) to be relating to this SDG.</li> </ul> </li> <li><strong>/sdg01-17/topic-modelling/</strong> <ul> <li>This contains the data and visualisation of the terms clustered in the same number of topics as there are &#39;targets&#39; within that SDG.</li> </ul> </li> <li><strong>/sdg01-17/network-mapping/</strong> <ul> <li>This contains the data and visualisation of the terms clustered in co-occuring proximation of appearance in papers</li> </ul> </li> <li><strong>/sdg01-17/contingency-matrix/</strong> <ul> <li>This contains the data and visualisation of the top 10 terms co-occuring</li> </ul> </li> </ul> <p>note: the .csv files are actually tab-separated.</p> <p><strong>Contribute and improve the SDG Search Queries</strong></p> <p>We welcome you to join the Github community and to fork, branch, improve and make a pull request to add your improvements to the new version of the SDG queries. <strong><a href="https://github.com/Aurora-Network-Global/sdg-queries">https://github.com/Aurora-Network-Global/sdg-queries</a></strong></p>

opencc-by-4.0May 2020View details →
dryad32/100

Data from: Sustainability management of short-lived freshwater fish in human-altered ecosystems should focus on adult survival

<p>Fish populations globally are susceptible to endangerment through exploitation and habitat loss. We present theoretical simulations to explore how reduced adult survival (age truncation) might affect short-lived freshwater fish species in human-altered contemporary environments. Our simulations evaluate two hypothetical "average fish" and five example fish species of age 1 or age 2 maturity. From a population equilibrium baseline representing a natural, unaltered environment we impose systematic reductions in adult survival and quantify how age truncation affects the causes of variation in population growth rate. We estimate the relative contributions to population growth rate arising from simulated temporal variation in age-specific vital rates and population structure. At equilibrium and irrespective of example species, population structure (first adult age class) and survival probability of the first two adult age classes are the most important determinants of population growth. As adult survival decreases, the first reproductive age class becomes increasingly important to variation in population growth. All simulated examples show the same general pattern of change with age truncation as known for exploited, longer-lived fish species in marine and freshwater environments. This implies age truncation is a general potential concern for fish biodiversity across life history strategies and ecosystems. Managers of short-lived, freshwater fishes in contemporary environments often focus on supporting reproduction to ensure population persistence. However, a strong focus on water management to support reproduction may reduce adult survival. Sustainability management needs a focus on mitigating adult mortality in human-altered ecosystems. A watershed spatial extent embracing land and water uses may be necessary to identify and mitigate causes of age truncation in freshwater species. Achieving higher adult survival will require paradigm transformations in society and government about water management priorities.</p>

opencc-zeroMay 2020View details →
zenodo32/100

Sustainable Globe Image

<p>Image used to convey the TURAS project.</p>

opencc-by-4.0Oct 2011View details →
dryad32/100

Data from: Sustained immune activation is associated with susceptibility to the amphibian chytrid fungus

The disease chytridiomycosis caused by the fungus Bd has devastated amphibian populations worldwide. Functional genomic contributions to host susceptibility remain enigmatic and vary between species and populations. We conducted experimental Bd infections in Rana yavapaiensis, a species with intraspecific variation in chytridiomycosis susceptibility, to assess the skin and spleen transcriptomic response to infection over time. We predicted that increased immune gene expression would be associated with a positive disease outcome, but we instead found that surviving frogs had significantly reduced immune gene expression compared to susceptible frogs and to uninfected controls. MHC class II gene expression was also significantly higher in susceptible frogs compared to surviving frogs. Furthermore, susceptible frogs expressed a significantly larger number of distinct class II alleles, demonstrating a negative correlation between class II expression, functional diversity, and survival. Expression of the MHC class II locus previously associated with Bd disease outcomes was a significant predictor of Bd infection intensity at early infection stages but not at late infection stages, suggesting initial MHC-linked immune processes are important for ultimate disease outcomes. We infer through disease association and phylogenetic analysis that certain MHC variants are linked to the immune expression that was negatively associated with survival, and we hypothesize that frogs that did not express these alleles could better survive infections. Our study finds that MHC expression at early and late infection stages predicts Bd infection intensity, and suggests that generating a sustained immune response against Bd may be counterproductive for surviving chytridiomycosis in this partially susceptible species.

opencc-zeroJun 2020View details →
dryad32/100

Sustainable harvesting and conservation of Laelia furfuracea, a rare epiphytic orchid from Oaxaca, Mexico

Many epiphytic orchids are harvested in Mexico for different purposes. Laelia furfuracea is one of the most intensively traded species. Its inflorescences are used as ornaments during the December festivities. We investigated the effect of severing the flowering pseudobulb. This is the traditional technique frequently used by collectors at the study area. We wished to investigate its effects on the production of new pseudobulbs, as well as on their size and flowering probability. Also, we examined the survival probability and growth of individuals that had fallen on the ground to evaluate their potential as trading resources. Inflorescence collection did not affect the production of new pseudobulbs the following season. However, it affected the size of these pseudobulbs, as well as their flowering probability. Yet, the direction of this effect was not consistent between years. Nearly six percent of all L. furfuracea plants at the study site were found on the ground. Over 80 percent of them survived for at least two years, although most of them showed pseudobulb loss over that period of time. We conclude that harvesting of flowering pseudobulbs may be sustainable in terms of its effects on plant performance, at least in the short term. The active management of plants that have fallen on the ground may reduce the harvesting pressure on natural populations. Harvesting of flowering pseudobulbs may diminish some aspects of plant performance, but its effects need to be evaluated with complete life cycle data and take into account interannual variation in vital rates.

opencc-zeroAug 2020View details →
dryad32/100

Qualitative data on: Sustainability drivers and inhibitors for the health system performance improvement projects in selected health facilities in Kenya

<p class="Normal2"><b>Objectives</b> to investigate the health managers perceived sustainability status of the health facilities institutional improvement projects and their experiences on factors that facilitated or constrained their maintenance, with intentions of informing relevant strategies or policies in Kenya's health sector.</p> <p><span><b>Methods </b>A<b> </b>qualitative study, nested within a quasi-experimental study. Thirty-three project-teams of health managers were purposively selected and interviewed based on their project implementation success rates post-training. The managers had previously undergone a 9-month leadership training, complimented with facility-based team coaching around the chosen projects. The training was funded by the USAID; however, the implementation of the projects was based on how the participants could innovatively utilize the existing resource to create a positive change. The projects were housed within 20 public, nine faith-based, and four private health facilities in 19 Counties in Kenya.  The interviews explored the manager's experiences in sustaining the successfully implemented projects within the (24-60 months post-training period).  We asked Managers to describe factors they perceived enabled or hindered the sustainability of the successfully implemented institutional improvement project. The digitally audio-recorded interviews were transcribed verbatim.  Data on barriers and enablers were thematically analyzed. </span></p> <p><span><b>Results</b> Twenty-seven out of the 33 successfully implemented projects reported sustainability within periods ranging from 24-60 months post-training. Seven themes related to drivers of sustainability emerged, namely; program design, stakeholder's buy-in, board members, communication, coaching, presence of change champion, devolution and political good-will. Four sustainability inhibitors identified were; human resources constraints, policy implementation, misalignment of projects with daily operations, devolution and political interference. </span></p> <p><b>Conclusions </b>The sustainability of institutional improvement strategies such as projects implemented post-leadership training in public and private health facilities depends on the quality of board members, communication management and institutionalization of coaching culture. These findings are pertinent for planning and implementing similar health systems strengthening intervention in low-income countries.</p> <p class="Normal2"> </p>

opencc-zeroAug 2020View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.