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3,480 results for “a value”

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dryad36/100

BETA values from DNA methylation (selected differential regions)

<p><span>Studies of DNA methylation have revealed the biological mechanisms by which life adversity confers risk for later physical and mental health problems. What remains unknown is the "biologically embedding" of maternal adverse experiences resulting in maladaptive parenting and whether these epigenetic effects are transmitted to the next generation. This study focuses on neglectful mothering indexed by a severe disregard for the basic and psychological needs of the child. Using the Illumina Human Methylation 850K BeadChip in saliva samples, we identified genes with differentially methylated regions (DMRs) in those mothers with, versus those without, neglectful behavior (n = 51 vs 87) that present similar DMRs patterns in their children being neglected versus non-neglected (n = 40 vs 75). Mothers reported the emotional intensity of adverse life events. After covariate adjustment and multiple testing corrections, we identified 69 DMRs in the mother epigenome and 42 DMRs in the child epigenome that were simultaneously above the </span><span>α</span><span> = 0.01 threshold. The common set of nine DMRs contained genes related to childhood adversity, neonatal and infant diabetes, child neurobehavioral development, and other health problems such as obesity, hypertension, cancer, posttraumatic stress, and Alzheimer's disease; four of the genes were associated with maternal life adversity. Identifying a shared epigenetic signature of neglect linked to maternal life adversity is an essential step in breaking the intergenerational transmission of one of the most common forms of childhood maltreatment.</span></p>

opencc-zeroAug 2022View details →
zenodo36/100

Wildlife trade targets colourful birds and threatens the aesthetic value of nature

<p>Data to support findings of the paper &quot;Wildlife trade targets colourful birds and threatens the aesthetic value of nature&quot;. Code available on <a href="https://github.com/rasenior/colour-trade">GitHub</a>&nbsp;and also the related Zenodo entry at DOI:10.5281/zenodo.6577817</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

What really changes when developers intend to improve their source code: A commit-level study of static metric value and static analysis warning changes

<p>This is the dataset for the publication &quot;What really changes when developers intend to improve their source code: A commit-level study of static metric value and static analysis warning changes&quot;.</p> <p>It contains a random sample of 2533 commits from 54 Java Apache open source projects classified by two researchers into perfective, corrective and other changes (manual_labels.csv).&nbsp; Moreover, we include static source code metrics and static analysis warnings for the 2533 changes in al_changes_gt.csv.gz.</p> <p>In addition, we include the full dataset of 125482 commits in all_changes_sebert.csv.gz with all metrics and automatic labels for every commit that was not manually labeled. The automatic labels were provided by a fine-tuned transformer model (BERT) pre-trained exclusively on software engineering data.</p> <p>We also provide the fine tuned version of the pre-trained model in seBERT_fine_tuned_commit_intent.tar.gz as well as a Snapshot of the SmartSHARK MongoDB database used in gathering the raw data in smartshark_emse.agz.</p> <p>The model can be tested live on the <a href="https://user.informatik.uni-goettingen.de/~trautsch2/emse_2021/commit_intent.html">website</a> accompanying the publication.</p>

opencc-by-4.0Sep 2021View details →
zenodo36/100

Data and scripts from Epidemiological and clinical insights from SARS-CoV-2 RT-PCR crossing threshold values, France, January to November 2020

<p>Raw data and scripts used in the publication &quot;<em>Epidemiological and clinical insights from SARS-CoV-2 RT-PCR crossing threshold values, France, January to November 2020 separator commenting unavailable</em>&quot; in Eurosurveillance in 2022.</p> <p>&nbsp;</p> <p>https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2022.27.6.2100406</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

US Middle School Student Survey of Values, Interests and Bonding to School

<p>This SPSS file contains raw de-identified survey responses to questions asked of US middle school students in grades 6 and 7 that assess their interest in 11 non-academic activities, the importance of 15 terminal values, and their level of bonding to school.&nbsp;</p>

openother-pdMay 2019View details →
zenodo36/100

US Middle School Student Survey of Values, Interests and Bonding to School

<p>This SPSS file contains raw de-identified survey responses to questions asked of US middle school students in grades 6 and 7 that assess their interest in 11 non-academic activities, the importance of 15 terminal values, and their level of bonding to school.</p>

openodc-pddlMay 2019View details →
zenodo36/100

Preliminary results: Predicted cooling effect, lives saved and associated economic value from public green spaces in Paris

<p><span>This dataset represents preliminary results predicting the cooling effect from public green spaces in Paris for the 10th, 22nd and 24th July 2019, the lives saved and associated economic valuation.</span></p> <p>The data format is a shapefile with coordinate reference system RGF93 v1 / Lambert-93 (EPSG:2154).</p> <p>Please see the README file for description of the variable names.&nbsp;</p> <p>Full results will be shared in due course, alongside all code and a detailed description of the method. If you would like to know more about the method or would like to be informed when the full results and method are published, please contact Jo Garrett at j.k.garrett@Exeter.ac.uk</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Comprehensive database of fluorescence lifetime values for fluorochromes with emission peaks in the visible or near infrared

<p>Multiplexing techniques rely on fluorescent probes to simultaneously detect and visualise multiple mRNA or protein molecules in a single cell. Although more than 1200 fluorochromes are available in the visible and near-infrared spectral range, it is difficult to separate the different fluorochromes spectrally into orthogonal channels as their excitation and emission spectra often overlap. Fluorescence lifetimes can be used as an effective method to segregate fluorochromes for multiplex imaging. However, information on fluorescence lifetimes is not always easy to find as it is often only mentioned in passing on websites or in publications. In an effort to overcome this challenge, we performed a systematic literature review to make it easier to access the information required to attempt unmixing fluorochromes by fluorescence lifetime for multiplexed imaging. We found that at least 88 fluorochromes can be used, in principle, to attempt unmixing fluorochromes by lifetime and thus multiplexing. Our data are summarised in a table as well as in a graph in which we plotted the lifetime (tau) against the emission peak (Em). For all fluorochromes, we found that are available as NHS derivatives for easy coupling to DNA oligonucleotides or antibodies. Some additional, potentially very useful fluorophores, for which no lifetime data are available, are shown within a dashed line in a relatively &ldquo;sparse&rdquo; region of the spectrum above 800nm. A key is displayed to describe the&nbsp;colour code used to represent different fluorochrome classes, such as Alexa Fluor.</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

UU Webinar 2: Sam Sellar on time and value in digitalised higher education

<p>Title: The investment of time: Divergent theses on the value of higher education</p> <p>Abstract: This webinar will focus on what is valuable in and about higher education. It will then discuss this in relation to Edtech and deliberate where Edtech can and cannot contribute to supporting the sector.</p> <p>Speaker: Sam Sellar</p> <p>Bio: Sam Sellar is Dean of Research (Education Futures) and Professor of Education Policy at the University of South Australia. Sam&rsquo;s research focuses on education policy, large-scale assessments and the datafication of education. Sam also works closely with teacher organisations around the world to understand the impact of digitalisation on teacher professional autonomy. His most recent book is titled Algorithms of education: How datafication and artificial intelligence shape policy (University of Minnesota Press), co-authored with Kalervo N. Gulson and P. Taylor Webb.</p> <p>Link to Sam&rsquo;s website: https://people.unisa.edu.au/Sam.Sellar&nbsp;</p> <p>Date of event: 22 June 2023</p>

opencc-by-4.0Jun 2023View details →
zenodo36/100

Universities and Unicorns – New Forms of Value in Digital Higher Education (SRHE webinar)

<p>SRHE's Digital University Network organised an event on 21 September 2023. The research team from the ESRC-funded research project Universities and Unicorns (UU) project presented initial findings after the project finished. The project introduced fundamentally new ways to think about and examine the digitalising of the higher education sector. It investigated new forms of value creation and suggested that value in the sector increasingly lies in the creation of digital assets. Further, the project examined whether and how universities, companies and investors shift from forms of entrepreneurship to forms of rentiership. This has important consequences. Assetisation and rentiership imply a change from creating value via market exchange to capturing value via the ownership and control of assets, such as personal data.</p> <p><br>More about the webinar: https://srhe.ac.uk/civicrm/?civiwp=CiviCRM&amp;q=civicrm%2Fevent%2Finfo&amp;reset=1&amp;id=641</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Climate Change Adaptation, Social Resilience, and Perceived Values Data from Turkana, Machakos and Narok County, Kenya

<p>This dataset provides socioeconomic and value perception interview data collected from 1,020 individuals living across three counties in Kenya: Turkana, Machakos and Narok. Socioeconomic data were collected on housing, healthcare, water sources, electricity access, experience of extreme weather events, community services and access to information. Value perception data were collected using the user-perceived value (UPV) method - a perception-based surveying approach which requires interviewees to select their most valued household items in different circumstances and explain their choice through 'why'-probing. This is done under different circumstances - here, either in daily life, or in the face of a climate shock. The data are made available with sub-county level geospatial attribution. Together, the socioeconomic and interview data can be used to better understand the views of different communities and demographic groups concerning climate change and extreme weather events across Kenya. They also provide insight as to the intrinsic, social, emotional, epistemic, functional, and indigenous values associated with everyday household items. The data can be used by policymakers to inform development planning and to identify gaps in available infrastructure. Additionally, researchers and development practitioners can use these data to design interventions which reflect the needs and values of communities in Kenya.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Fig. 4 in A New Measure Of Conservation Value Combining Rarity And Ecological Diversity: A Case Study With Light Trap Collected Caddisflies (Insecta: Trichoptera)

Fig. 4. The relationship between diversity (D) and rarity (RAR-index) of the samples

opencc-by-4.0Dec 2004View details →
zenodo36/100

Wind Value: Second Conference 2024 Situation in Ireland Jim Hughes Video

<p>Video 17mins 33 seconds, of the presentation by Jim Hughes on the topic " The Ageing Portfolio of Wind Farms in Ireland - Key Issues". The presentation considers the existing fleet of wind farms in Ireland and suggests ways that may encourage more of these to stay in production after the end of their planning permission period. This took place at the second Wind Value conference on 29th May 2024 in the Ellen Hutchins Building, of the Environmental Research Institute of University College Cork, Ireland.</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Fig.4 in Dendrological And Recreational Values Of Arlaviskės Juniper Formation

Fig.4. State index of Junipers health (I – undamaged, ..., VI – dead).

opencc-by-4.0Dec 2011View details →
zenodo36/100

Fig 5 in Dendrological And Recreational Values Of Arlaviskės Juniper Formation

Fig 5. The state of junipers formation between 1998-2008 years.

opencc-by-4.0Dec 2011View details →
dryad36/100

Lipid extraction alters amino acid composition and bulk, but not amino acid, carbon and nitrogen isotope values

<p>Rationale: Concerns exist over observed shifts in value and variance of nitrogen isotopes following physicochemical extraction of lipids from organic matter. The mechanisms behind these apparent changes in bulk tissue δ15N values are not fully understood yet have major implications for analytical costs and integrity of data interpretations.</p> <p>Methods: Changes in proximate analysis, amino acid composition, C:N ratios, bulk tissue and amino acid δ13C and δ15N values, and resulting isotope‐based food web metrics were compared between lipid‐intact and lipid‐extracted muscle tissue of fishes spanning &lt;1% to &gt;20% muscle fat content to identify mechanisms of nitrogen isotope fractionation associated with physicochemical lipid extraction.</p> <p>Results: Bulk δ13C and δ15N values increased and %N, C:N ratios and crude protein content decreased following lipid extraction. Resulting bulk isotope niche spacing and overlap varied significantly between lipid‐intact and lipid‐extracted tissues. While amino acid composition significantly changed during lipid extraction, particularly for lipid‐associated amino acids (e.g., Glu, Lys, Ser), individual amino acid δ13C and δ15N values, and their associated compound‐specific isotope analysis of amino acids (CSIA‐AA)‐based food web metrics, did not.</p> <p>Conclusions: Physicochemical lipid extraction caused significant tissue composition changes (e.g., leaching of amino acids and 15N‐deplete nitrogenous waste) that affected δ13C and δ15N values and tissue %C and %N beyond simply removing lipids. However, lipid extraction did not alter individual amino acid δ13C or δ15N values or their associated CSIA‐AA‐based food web metrics.</p>

opencc-zeroJul 2024View details →
zenodo36/100

Figure 2 in Intraspecific C-value variation and the outcomes in Psidium cattleyanum Sabine essential oil

Figure 2. Chemical structure of the major compounds found in accessions of Psidium cattleyanum.

opencc-by-4.0Dec 2022View details →
zenodo36/100

Wind Value: First Conference 2022, Circular Economy for Wind, Anne Velenturf, Video

<p>Video of 34 Minds and 54 seconds, on A Sustainable Circular Economy for Wind: The Bigger Picture, from Anne Velenturf of the Univesity of Leeds. Anne is a leading scholar in the circular economy.</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Wind Value: First Conference 2022, Blade Bridge Concept to Reality, Kieran Ruane, Video

<p>Video of 33 mins 1 second on The Blade Bridge - From Concept to Reality, by Kieran Ruane. Describing the design of the world's second bridge made from used wind turbine blades, installed on the Youghal Midleton Greenway, Co Cork, Ireland</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Wind Value: First Conference 2022, Research Opportunities for Wind Energy, Dave Linehan, Video

<p>VIdeo of 9 mins and 35 seconds, on the Research Opportunities for the Wind Energy Sector, by Dave Linehan of Wind Energy Ireland.</p>

opencc-by-4.0Jul 2024View 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.

Compare curated 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.

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

ScienceDex for faculty

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.