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308 results for “local responsibility”
Data from: Does local adaptation along a latitudinal cline shape plastic responses to combined thermal and nutritional stress?
<p>Thermal and nutritional stress are commonly experienced by animals. This will become increasingly so with climate change. Whether populations can plastically respond to such changes will determine their survival. Plasticity can vary among populations depending on the extent of environmental heterogeneity. However, theory conflicts as to whether environmental heterogeneity should increase or decrease plasticity. Using three locally-adapted populations of Drosophila melanogaster sampled from a latitudinal gradient, we investigated whether plastic responses to combinations of nutrition and temperature increase or decrease with latitude for four traits: egg-adult viability, egg-adult development time, and two body size traits. Employing nutritional geometry, we reared larvae on 25 diets varying in protein and carbohydrate content at two temperatures: 18ºC and 25ºC. Plasticity varied among traits and across the three populations. Viability was highly canalized in all three populations. The tropical population showed the least plasticity for development time, the sub-tropical showed the highest plasticity for wing area, and the temperate population showed the highest plasticity for femur length. We found no evidence of latitudinal plasticity gradients in either direction. Our data highlight that differences in thermal variation and resource predictability experienced by populations along a latitudinal cline are not sufficient to predict their plasticity. </p>
Data from: Multi-scalar drivers of biodiversity: local management mediates wild bee community response to regional urbanization
It is critical to understand the specific drivers of biodiversity across multiple spatial scales, especially within rapidly urbanizing areas, given the distinct management recommendations that may result at each scale. However, drivers of biodiversity patterns and interactions between drivers are often only measured and modeled at a single scale. In this study, we assessed bee community composition at three time periods in 20 grassland and 20 agriculture sites located across two major metroplexes. We examined how local environmental variables and surrounding landscape composition impact bee abundance, richness, and evenness, including comparisons between groups with different nesting strategies and body sizes. We collected nearly 13,000 specimens and identified 172 species. We found that levels of regional land-use differentially impacted bee abundance and diversity depending on local habitat management. Specifically, within agriculture sites, bee richness was greater with increasing landscape-level semi-natural habitat, while in grassland sites, bee richness was similar across landscapes regardless of semi-natural habitat cover. Bee evenness at both site types declined with increasing landscape-level habitat heterogeneity, due to an increase of rare species at the grassland sites, but not in the agricultural sites; further indicating that diversity is driven by the interaction of local habitat quality and landscape-level habitat composition. We additionally found that agriculture sites supported higher abundances, but not richness, of small-bodied and below-ground nesting bees, while grassland sites supported higher abundances of above-ground nesting bees, and higher richness of large-bodied species. Increased levels of local bare ground were significantly related to multiple metrics of bee diversity, including greater below-ground nesting bee abundance and richness. Local floral richness was also significantly related to increases of overall bee abundance, as well as the abundance and richness of small bees. Overall, we suggest that local land managers can support bee abundance and diversity by conserving areas of bare soil and promoting native floral diversity, the latter especially critical in highly urban agricultural spaces. Our results provide the first documentation of significant interactions between local habitat management and landscape composition impacting insect communities in urban systems, indicating that bee conservation practices depend critically on land-use interactions across multiple spatial scales.
Data from: Genetic basis of photosynthetic responses to cold in two locally adapted populations of Arabidopsis thaliana
Local adaptation is common, but the traits and genes involved are often unknown. Physiological responses to cold probably contribute to local adaptation in wide-ranging species, but the genetic basis underlying natural variation in these traits has rarely been studied. Using a recombinant inbred (495 lines) mapping population from locally adapted populations of Arabidopsis thaliana from Sweden and Italy, we grew plants at low temperature and mapped quantitative trait loci (QTLs) for traits related to photosynthesis: maximal quantum efficiency (Fv/Fm), rapidly reversible photoprotection (NPQfast), and photoinhibition of PSII (NPQslow) using high-throughput, whole-plant measures of chlorophyll fluorescence. In response to cold, the Swedish line had greater values for all traits, and for every trait, large effect QTLs contributed to parental differences. We found one major QTL affecting all traits, as well as unique major QTLs for each trait. Six trait QTLs overlapped with previously published locally adaptive QTLs based on fitness measured in the native environments over 3 years. Our results demonstrate that photosynthetic responses to cold can vary dramatically within a species, and may predominantly be caused by a few QTLs of large effect. Some photosynthesis traits and QTLs probably contribute to local adaptation in this system.
Data from: Adaptive responses and local stressor mitigation drive coral resilience in warmer, more acidic oceans
Coral reefs have great biological and socioeconomic value, but are threatened by ocean acidification, climate change, and local human impacts. The capacity for corals to adapt or acclimatise to novel environmental conditions is unknown but fundamental to projected reef futures. The coral reefs of Kāne'ohe Bay, Hawai'i were devastated by anthropogenic insults from the 1930s-1970s. These reefs experience naturally reduced pH and elevated temperature relative to many other Hawaiian reefs which are not expected to face similar conditions for decades. Despite catastrophic loss in coral cover due to human disturbance, these reefs recovered under low pH and high temperature within 20 years after sewage input was diverted. We compare the pH and temperature tolerances of three dominant Hawaiian coral species from within Kāne'ohe Bay to conspecifics from a nearby control site and show that corals from Kāne'ohe are far more resistant to acidification and warming. These results show that corals can have different pH and temperature tolerances among habitats and understanding the mechanisms by which coral cover rebounded within two decades under projected future ocean conditions will be critical to management. Together these results indicate that reducing human stressors offers hope for reef resilience and effective conservation over coming decades.
Data from: Within-individual leaf trait response to local light availability and biodiversity in a subtropical forest experiment
<p>This dataset contains 15 leaf traits and the relative light availability from 400 trees at sub-individual level. Leaf samples were collected in August and September 2017 in the BEF-China main experiment (site A) in different sampling heights within the individuals. Samples were taken in 66 plots across all diversity levels of the experimental site. Leaf traits were analysed using near-infrared spectroscopy. Available leaf traits are LDMC, SLA, leaf N, leaf C, CN ratio, leaf Mg, leaf Ca, leaf K, leaf P, leaf S, cellulose, lignin, phenolics and tannin. Additionally, light data is available for each height level.</p>
Data for: Local adaptation of switchgrass drives trait relations to yield and differential responses to climate and soil environments
<p>Switchgrass, a potential biofuel crop, is a genetically diverse species with phenotypic plasticity enabling it to grow in a range of environments. Two primary divergent ecotypes, uplands and lowlands, exhibit trait combinations representative of acquisitive and conservative growth allocation strategies, respectively. Whether these ecotypes respond differently to various types of environmental drivers remains unclear but is crucial to understanding how switchgrass varieties will respond to climate change. We grew two upland, two lowland, and two intermediate/hybrid cultivars of switchgrass at three sites along a latitudinal gradient in the central United States. Over a 4-year period, we measured plant functional traits and biomass yields and evaluated genotype-by-environment (G´E) interaction effects by analyzing switchgrass responses to soil and climate variables. We found substantial evidence of G´E interactions on biomass yield, primarily due to deviations in the response of the southern lowland cultivar Alamo, which produced more biomass in hotter and drier environments relative to other cultivars. While lowland cultivars had the highest potential for yield, their yields were more variable year-to-year compared to other cultivars, suggesting greater sensitivity to environmental perturbations. Models comparing soil and climate principal components as explanatory variables revealed soil properties, especially nutrients, to be most effective at predicting switchgrass biomass yield. Also, conservative plant traits such as high stem mass and tiller height became increasingly positively associated with biomass yield at lower latitudes where the climate is hotter and drier, regardless of ecotype. Lowland cultivars, however, showed a greater predisposition to exhibit these conservative traits. These results suggest switchgrass trait allocation trade-offs that prioritize aboveground biomass production are more tightly associated in hot, dry environments and that lowland cultivars may exhibit a more specialist life strategy relative to other cultivars. Altogether, this research provides essential knowledge for improving the viability of switchgrass as a biofuel crop.</p>
Soil moisture incidentally selects for microbes that facilitate locally adaptive plant response
<p>We examined the role of the plant vs the environment in selecting for beneficial microbes to plants in their home moisture environment, in either wet vs dry conditions. To this end, we first conditioned soil microbial communities, selecting for either dry- or wet-adapted soil microbial communities, either with or without plants. After 3 plant generations, we conducted a full reciprocal transplant of each soil community onto wet- and dry-treated plants, using the soil from the prior 3 generations as an inoculum. From plants inoculated with these ‘evolved’ soils, we measured plant biomass and height. We also measured soil nitrogen of the inoculum, and measured inoculum respiration across a water content gradient. <br> </p>
Response to primary chemoradiotherapy of locally advanced oropharyngeal carcinoma is determined by the degree of cytotoxic T cell infiltration within tumor cell aggregates
<p><strong><span>Background</span></strong><span>: Effective anti-tumor immune responses are mediated by T cells and require organized, spatially coordinated interactions within the tumor microenvironment (TME). Understanding coordinated T-cell behavior and deciphering mechanisms of radiotherapy resistance mediated by tumor stem cells will advance risk stratification of oropharyngeal cancer (OPSCC) patients treated with primary chemoradiotherapy (RCTx). </span></p> <p><span><strong>Methods</strong>:</span> <span>To determine the role of CD8 T cells (CTL) and tumor stem cells in response to RCTx, we employed multiplex immunofluorescence stains on pre-treatment biopsy specimens from 86 advanced OPSCC patients and correlated these quantitative data with clinical parameters. Multiplex stains were analyzed at the single-cell level using QuPath and spatial coordination of immune cells within the TME was explored using the R-package Spatstat. </span></p> <p><span><strong>Results</strong>:</span><span> Our observations demonstrate that a strong CTL-infiltration into the epithelial tumor compartment (HR for overall survival, OS: 0.35; p<0.001) and the expression of PD-L1 on CTL (HR: 0.36; p<0.001) were both associated with a significantly better response and survival upon RCTx. As expected, p16 expression was a strong predictor of improved OS (HR: 0.38; p=0.002) and correlated with overall CTL infiltration (</span><span>r: 0.358, p<0.001). By contrast, tumor cell proliferative activity, expression of the tumor stem cell marker CD271 and overall CTL infiltration, regardless of the affected compartment, were not associated with response or survival. </span></p> <p><span><strong>Conclusion</strong>: </span><span>In this study, we could demonstrate the clinical relevance of the spatial organization and the phenotype of CD8 T cells within the TME. In particular, we found that the infiltration of CD8 T cells specifically into the tumor cell compartment was an independent predictive marker for response to chemoradiotherapy, which was strongly associated with p16 expression. Meanwhile, tumor cell proliferation and the expression of stem cell markers showed no independent predictive effect in response to RCTx and require further study.</span></p>
Axonal mRNA localization in response to neurotrophin treatment
<p>This file contains the required processed data required to implement the code located at https://github.com/RLuisier/AxonLoc that related to the manuscript Axonal mRNA localization in response to neurotrophin treatment by Luisier et al. 2023.</p>
Localizing Commitments, Challenges, and Insights on the Road to Immunization Agenda 2030: Responses from 6,185 national and sub-national staff (Immunization Agenda 2030 Full Learning Cycle, 7 March - 20 June 2022)
<p># Localizing Commitments, Challenges, and Insights on the Road to Immunization Agenda 2030: Responses from 6,185 national and sub-national staff (Immunization Agenda 2030 Full Learning Cycle, 7 March - 20 June 2022)</p> <p>## Abstract<br> This data set contains survey responses from over 6,000 national and subnational immunization staff who applied to participate in a 2022 Full Learning Cycle (FLC) learning programme of The Geneva Learning Foundation (TGLF), intended to contribute to the Movement for Immunization Agenda 2030. The 95-item questionnaire collected information on respondents' commitment to the movement's principles, demographics, work challenges, motivation and learning culture, and the impact of COVID-19 on routine immunization. The purpose was to understand applicants' priority challenges and readiness to engage in peer learning to advance country and global immunization goals. Questions addressed consent, identity confirmation, COVID-19 vaccination status, employer, role, system level, past participation in the sponsoring organization's programs, work and wellbeing, difficulties with COVID-19 vaccination, outbreak response, gender equity, and reaching zero-dose children. Applicants identified one priority challenge in their work that they would seek to address through the program. This data set offers insights into frontline perspectives on strengthening immunization programs. Secondary analysess were performed in 2022 and 2023 to illuminate human resource issues, gender barriers, pandemic recovery, and peer learning for change.</p> <p>## Research Audience</p> <p>Education and global health researchers with interest in human resources for health (HRH) and the characteristics, priority challenges, and experiences of national and sub-national immunization staff participating in the Movement for Immunization Agenda (IA) 2030.</p> <p>## Credits</p> <p>### Author</p> <p>The Geneva Learning Foundation (TGLF)<br> 18 Avenue Louis Casaï <br> CH1209 Geneva, Switzerland<br> research@learning.foundation</p> <p>### Principal Investigator and Corresponding Author<br> Reda Sadki, TGLF<br> reda@learning.foundation</p> <p>### Project Partners<br> - Biostat Global Consulting (BGC)<br> - Bridges to Development<br> - Centre for Change & Complexity in Learning (C3L)</p> <p>### Partners' Roles and Responsibilities<br> - Design: TGLF<br> - Implementation (sample collection): TGLF<br> - Processing: TGLF, C3L<br> - Anonymization: BGC<br> - Data cleaning: Bridges to Development<br> - Submission: TGLF<br> - Maintenance of learning analytics database where data are stored: C3L</p> <p>### Funding<br> Wellcome Trust, Bill & Melinda Gates Foundation (BMGF)</p> <p>## Recommended Citation<br> The Geneva Learning Foundation, 2023. Full Learning Cycle (2022) Application for national and sub-national immunization staff to identify challenges and join the Movement for Immunization Agenda (IA 2030) (Version 1.0) [Data Set]. The Geneval Learning Foundation. [DOI:https://doi.org/10.5281/zenodo.8199552](https://zenodo.org/record/8199552)</p> <p>## File List<br> IA2030_EN_FLC_2022_Application_Survey.README.md (this document)</p> <p>20220211.IA2030-EN Movement application-FINAL.docx: List of questions included in the questionnaire. (Note: skip patterns are not shown.)</p> <p>IA2030_EN_Application_Survey_Dataset.xlsx: English version of anonymized Application Survey Dataset. Version 1: Geneva Learning Foundation, 11 August 2023. (6,669 observations; 58 variables)</p> <p>## Related Data Sets<br> This is a subset of data collected by The Geneva Learning Foundation (TGLF) during the first IA2030 Full Learning Cycle (FLC). The complete IA2030 Application Survey data set is more comprehensive, and includes information such as respondents' gender, employer, professional role, country, and health system level, as well as responses to open-text questions. </p> <p>Researchers who would like to analyze the full set of unredacted responses are invited to contact the Geneva Learning Foundation to inquire about a Data Sharing Agreement that would stipulate conditions of access (insights@learning.foundation).</p> <p>The Geneva Learning Foundation, 2023. Value Creation Stories (VCS) weekly feedback survey, 2022 Full Learning Cycle (FLC) of the Movement for Immunization Agenda 2030 (IA2030) (Version 1.0). [Data Set]. The Geneva Learning Foundation. DOI: https://doi.org/10.5281/zenodo.7763922 </p> <p>Additional data sets for the first Full Learning Cycle (FLC) of the Movement for Immunization Agenda 2030 (IA2030) are available from TGLF's Insights Unit (<insights@learning.foundation>).</p> <p>## Survey Purpose</p> <p>The Immunization Agenda 2030, the global immunization strategy for 2021-2030, set ambitious targets for global immunization coverage and other key indicators (World Health Organization [WHO], 2023a).</p> <p>In response to the WHO Director-General's call for a social movement to ensure immunization remains a priority for global and regional health agendas and promote broad societal support for immunization (WHO, 2023b), TGLF, working with its global community of over 35,000 alumni, developed a learning programme intended to contribute to a “Movement for Immunization Agenda 2030 (IA2030)”.</p> <p>In addition to participating in structured peer learning activities, applicants made a pledge to work towards IA2030 and their country's goals, adhere to the IA2030 core principles, and to provide support to their peers making similar commitments.</p> <p>The purpose of the IA2030 Application Survey was to collect demographic and organizational information from immunization workers who work at the national or sub-national level interested in applying for the 2022 Learning Cycle and for membership in the Movement for IA2030.</p> <p>## Survey Questionnaire<br> The survey questionnaire consisted of both quantitative (Likert) and qualitative (open-text) responses to 95 questions documenting respondents' commitment to joining the Movement for IA2030 and adhering to relevant principles, demographic characteristics, information about work history and role, work and well-being, learning culture and performance, COVID-19 recovery efforts through vaccination campaigns and routine immunization (including outreach), priority work-related challenges, and most important reason for wanting to join the Movement for IA2030.</p> <p>Survey content was informed by TGLF's six years of experience working with thousands of immunization workers from over 90 countries.</p> <p>The survey was administered in English and French. While most of questions were required, several items, including questions about work and well-being and COVID-19 vaccination status, were optional.</p> <p>### Question Scaling and Response Options<br> Most questions were asked with a 'select one response' instruction, but several encouraged the respondent to 'select all that apply'.<br> - AP_CAR_20 Which of these job categories apply to you?<br> - AP_ENV_55 Where you work, what strategies have been put in place to reach under immunized or zero-dose children?<br> - AP_CHA_63 Is your challenge related to any of these?<br> - AP_ENV_78 What actions are being taken at your level of the health system to strengthen RI or PHC that specifically takes advantage of some aspect of COVID-19 vaccine introduction?<br> - AP_ENV_87 Select all activities used for catch-up.<br> - AP_ENV_91 What were the disruptions related to?</p> <p>Each person's several responses are stored in a single text variable and separated by commas. Some data management will be necessary to divide these strings of text into individual variables to represent each response option.</p> <p>## Overview of questionnaire for respondents<br> The following information was shared with all applicants to provide an overview of the questions and their rationale.</p> <p>First, we ask you for:<br> - Consent to share your data, to confirm your supervisor’s support, and to make commitments to follow country and WHO guidelines on COVID-19 and immunization<br> - Your legal name and birthdate to confirm your identity for certification.<br> - Your WhatsApp number to connect you with other participants in the Movement.<br> - Your organization, role, and health system level, and if you are a TGLF alum.<br> - We ask you about your work and well-being: Before we ask you about the challenges you face, we ask about your work and well-being, especially your motivation and how learning is being supported where you work.<br> - We ask about the challenges you face: In 2020, global immunization coverage levels for infants dropped back to 2009 levels. It is like we lost 11 years of hard work. So we ask you about the challenges you face: COVID-19 vaccination, epidemic outbreaks (measles, yellow fever, etc.), gender barriers, and zero-dose children.<br> - We ask you to pick the challenge that you will work on in the Movement: Then we ask you to identify your most difficult and important challenge. This is the one that you will focus on in the Movement. (You can always change later.)<br> - Are you truly committed to learning with colleagues from all over the world? Because the Movement is about learning, sharing experience, and collaborating with others, we ask you to confirm to what extent this is what you want to do.<br> - We ask you to share your successes, ideas, and lessons learned: Because we know that you have many strengths, we ask you if you want to share a success story, and idea, or a lesson learned with colleagues.<br> - We ask you if you want to help build and shape the Movement for IA2030: We ask you if you want to join the Organizing Committee to help build the Movement for Immunization Agenda 2030.<br> - Global partners request your help: Finally, we ask you to answer questions that IA2030 global partners are specifically interested in, about the effect of COVID-19 on routine immunization, catch-up activities, and your own COVID-19 vaccination. (You can choose to skip these questions.)</p> <p>### Specific questions that respondents were encouraged to reflect upon before writing out their answers<br> - Tell us more about your work and well-being. What are the worst and best parts of your job? Where do you find the motivation to continue your work? What helps you feel involved in your work? How has the COVID-19 pandemic changed how you feel about your work? What makes you lose or gain your motivation? <br> - Tell us more about the effect of the introduction of the COVID-19 vaccine for routine immunization (RI) and primary health care (PHC) services in the area where you work. Explain what has happened. What measures, if any, have been taken to mitigate disruptions or potential disruptions to health workers involvement in routine immunization due to COVID-19 vaccination activities where you work?<br> - Do you have a story about gender barriers to immunization that you would like to share?<br> - Tell us more about what you are doing to reach zero-dose children and missed communities. <br> - Tell us more about how we can better support you. What are the barriers for you to tackle the challenge you face? For your challenge, what kind of support would be most helpful to you? Why? Tell us more about your motivation to join the Movement for Immunization Agenda 2030. What do you hope to gain? What do you want to contribute? How will participating in this Movement help you improve your work?<br> - Do you have something that you want to share with colleagues? What you share does not need to be a “big” idea. We are interested in what you are doing that helps you to continue or improve your immunization work, even in a small way.</p> <p>## Ethical Considerations<br> Prior to fielding of the survey, the survey instrument and protocol were subjected to ethical and legal review by TGLF.</p> <p>Prior to beginning the survey, prospective respondents reviewed a User Agreement and a summary of TGLF's Privacy Policy (https://www.learning.foundation/pages/privacy), which provides information about the personal information the Foundation collects; the ways in which the Foundation uses personal information; and TGLF's procedures for protecting the loss, misuse or alteration of personal information.</p> <p>Participants who chose to respond to the items relevant to work and well-being and organizational culture were promised that their responses would be strictly confidential and that only anonymous, aggregated data would be shared with others.</p> <p>## Recruitment Process and Description of the Sample<br> Members of TGLF's immunization learning community were invited to participate in the survey by email and were encouraged to invite relevant colleagues (immunization workers who work at either the national or sub-national level) to participate by sharing the invitation.</p> <p>Respondents accessed the survey via the Internet by clicking on the survey link contained in the email.</p> <p>Inclusion criteria for participation in the survey included being an immunization worker who works at the national or sub-national level.</p> <p>Only individuals who indicated their direct supervisor at work agreed with their participation and who completed the consent form were permitted to complete a survey.</p> <p>## Survey Design and Administration<br> This one-time Internet-based survey was administered as part of the launch of the IA2030 Movement.</p> <p>The survey was available from February 22, 2022 - June 17, 2022.</p> <p>Respondents did not receive any incentives for completing the survey.</p> <p>The survey was hosted on the Typeform server. The survey itself and all information collected for the survey was secured with multiple levels of encryption and access controls to guarantee participant confidentiality, per Typeform policy (https://www.typeform.com/help/a/security-at-typeform-360029259552/?tid=200afff9-65b2-46e2-9553-0063f2c808b6).</p> <p>## Data Processing and Cleaning<br> Duplicate surveys were identified using respondents' email addresses and were removed from the data file.</p> <p>When a duplicate survey was submitted, only the most recent survey data were retained.</p> <p>## Data Privacy and Anonymization<br> The data file shared on this site is intentionally incomplete. Columns holding personally identifying information (e.g., email address, gender, country) have been deleted.</p> <p>Out of an abundance of caution, columns that could potentially hold personally identifying information (i.e., responses to open-text questions) have been deleted.</p> <p>In accordance with the privacy policy noted in the questionnaire, responses to questions related to work and well-being and organizational culture have also been redacted.</p> <p>A complete list of the variables that have been redacted from the data file is provided in the data file "Summary" tab.</p> <p>Each respondent's record holds a unique identifier in the column named AP_DAT_99.</p> <p>## Data Availability and Accessibility<br> This data set is being made available through Zenodo, an open access repository. There are no restrictions on access to open data except those stated in the copyright and license. Researchers who would like to analyze the full set of unredacted responses are invited to contact the Geneva Learning Foundation to inquire about a Data Sharing Agreement that would stipulate conditions of access (insights@learning.foundation).</p> <p>## Copyright and License<br> © The Geneva Learning Foundation 2022.</p> <p>This data set and all associated files are licensed under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)</p> <p>Some rights reserved. This work is available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International; https://creativecommons.org/licenses/by-nc-sa/4.0/.</p> <p>Under the terms of this license, you may copy, redistribute and adapt the data set for non-commercial purposes, provided the work is appropriately cited, as indicated above. In any use of this data set, there should be no suggestion that the Foundation endorses any specific organization, products, or services. Any mediation relating to disputes arising under the license shall be conducted in accordance with the mediation rules of the World Intellectual Property Organization.</p> <p>General disclaimers. The designations employed and the presentation of the data set do not imply the expression of any opinion whatsoever on the part of the Foundation concerning the legal status of any country, territory, city or area or of its authorities. The mention of specific companies or of certain manufacturers' products does not imply that they are endorsed or recommended by the Foundation in preference to others of a similar nature that are not mentioned. Errors and omissions excepted, the names of all reasonable precautions have been taken by the Foundation to verify the information contained in this data set. However, the published material is being distributed without warranty of any kind, either expressed or implied. The responsibility for interpretation and use of the material lies with the reader. In no event shall the Foundation be liable for damages arising from its use.</p> <p>The data set contains individual views and does not necessarily represent the decisions or the policies of the Foundation.</p> <p>Version 1.0 (11 August 2023).</p> <p>## References<br> Asiwome Kosi Abiwu, P.H., and Jones, I. (2022). IA2030 Case study 5. Paul Hilarius Asiwome Kosi Abiwu. View from the frontline: building stronger systems (The Geneva Learning Foundation) 10.5281/ZENODO.7004284.</p> <p>Ateke, N.A., and Jones, I. (2022). IA2030 Case study 4. Njoh Andreas Ateke. View from the frontline: working with communities to strengthen immunization programmes (The Geneva Learning Foundation) 10.5281/ZENODO.7004263.</p> <p>Ekwam, D.K., and Jones, I. (2022). IA2030 Case study 13. Pharm. Daniel Kwesi Ekwam. Covering all the bases (The Geneva Learning Foundation) 10.5281/ZENODO.7010227.</p> <p>Faye, W., Jones, I., Mbuh, C., and Sadki, R. (2023). IA2030 Case study 18. Wasnam Faye. Vaccine angels - Give us the opportunity and we can perform miracles. (The Geneva Learning Foundation) 10.5281/ZENODO.7785244.</p> <p>Faye, W., Jones, I., Mbuh, C., and Sadki, R. (2023). IA2030 Étude de cas 18. Wasnam Faye. Les anges de la vaccination : « Donnez-nous l'occasion et nous ferons des miracles. » (The Geneva Learning Foundation) 10.5281/ZENODO.7849329.</p> <p>Ferrah Conteh, Z., and Jones, I. (2022). IA2030 Case study 6. Zainab Ferrah Conteh. View from the frontline: Strenghtening the immunization programme backbone (The Geneva Learning Foundation) 10.5281/ZENODO.7010079.</p> <p>Iwot, N., and Jones, I. (2022). IA2030 Case study 14. Ndaeyo Iwot. Building the capacities of communities (The Geneva Learning Foundation) 10.5281/ZENODO.7010211.</p> <p>Jones, I., Mbuh, C., and Sadki, R. (2023). Listening and Learning at Teach to Reach 7 (IA2030 Listening and Learning Report 4) (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7766585.</p> <p>Jones, I., Mbuh, C., and Sadki, R. (2023). Teach to Reach 7: Partager pour apprendre (Rapport IA2030 «Écouter pour apprendre n° 4) (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7851783.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Case study 1. A digital health platform for immunization and primary health care (PHC) engagement (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.6982953.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Case study 1. A digital health platform for immunization and primary health care (PHC) engagement (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.6982953.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Case Study 10. Development of zero dose situational analyses and action plans (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010177.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Case study 2. Squaring the circle: safeguarding existing immunization programmes and primary healthcare during COVID-19 vaccination (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7004191.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Case Study 8. Practitioners' perceptions of key immunization challenges (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7005241.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Listening and learning report 1. Working groups consultative engagement through a peer learning platform (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010140.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Movement Year 1 report. Consultative engagement through a digitally enabled peer learning platform (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7119648.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030. Listening and learning report 3. Everyone, everywhere: digital peer learning to leave no one behind (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010209.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). Mouvement pour la vaccination à l'horizon 2030. Rapport Écouter pour apprendre n° 3. Partout, pour tous: l'apprentissage numérique par les pairs pour que personne ne reste sur le côté (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7142102.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., Kovanovic, V., et al. (2022). IA2030 Rapport «Écouter pour apprendre» n° 2. Notre engagement pour la vaccination #VaccinesWork (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7254160.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., Kovanovic, V., et al. (2022). IA2030.Listening and learning report 2. It takes people to make #VaccinesWork (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010196.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Yagnik, A., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., et al. (2022). IA2030 Case Study 9. Understanding and responding to zero-dose challenges (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010171.</p> <p>Jones, I., Watkins, K.E., Sadki, R., Brooks, A., Gasse, F., Yagnik, A., Mbuh, C., Zha, M., Steed, I., Sequeira, J., et al. (2022). IA2030 Case Study 7. Motivation, learning culture and programme performance (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7004304.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V.(2022). IA2030 Year 1 report. Consultative engagement through a digitally enabled peer learning platform (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7119648.</p> <p>Jones, I., Watkins, K.E., Sadki, R., Brooks, A., Gasse, F., Yagnik, A., Mbuh, C., Zha, M., Steed, I., Sequeira, J., et al. (2022). IA2030 Case Study 7. Motivation, learning culture and programme performance (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7004304.</p> <p>Kaboré, B., and Jones, I. (2022). IA2030 Case study 12. Boureima Kaboré. Delivering services in conflict-affected areas (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010188.</p> <p>Kuotong Nongho, R., and Jones, I. (2022). IA2030 Case study 3. Kuotong Nongho Rogers. View from the frontline: microplanning for equity (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7004235.</p> <p>Mbuh, C., Gasse, F., Jones, I., Sadki, R., Brooks, A., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Case study 16. Continuum from knowledge to performance (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7014392.</p> <p>Monga, F., Jones, I., Mbuh, C., and Sadki, R. (2023). IA2030 Case study 19. Franck Monga. Building a movement for IA2030 in the Democratic Republic of Congo (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7794726.</p> <p>Monga, F., Jones, I., Mbuh, C., and Sadki, R. (2023). IA2030 Étude de cas 19. Franck Monga. Construire un Mouvement pour la vaccination en République Démocratique du Congo (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7851476.</p> <p>Monzón, M.F., Jones, I., Mbuh, C., and Sadki, R. (2023). IA2030 Case study 17. María Fernanda Monzón. Speaking up for frontline staff (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7785024.</p> <p>Monzón, M.F., Jones, I., Mbuh, C., and Sadki, R. (2023). IA2030 Étude de cas 17. María Fernanda Monzón. Prendre la parole au nom des personnels de première ligne (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7848308.</p> <p>Oketch, P., and Jones, I. (2022). IA2030 Case study 15. Penina Oketch. Planning, people and performance (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010242.</p> <p>Sadki, R., Mbuh, C., Szylovec, A.P., and Brooks, A. (2023). Value creation stories anonymized open data set (Immunization Agenda 2030 Full Learning Cycle, 7 March - 20 June 2022). https://doi.org/10.5281/zenodo.7763922.</p> <p>WHO (2020). Immunization Agenda 2030: A Global Strategy to Leave No One Behind [Internet]. Available from: https://www.who.int/teams/immunization-vaccines-and-biologicals/strategies/ia2030. </p> <p>Yagnik, A., Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., et al. (2022). IA2030 Case Study 11. Gender barriers to immunization (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010184.</p>
Investigating the local temperature response to forest management with a regional climate model
<p>Data used in the manuscript "Investigating the local temperature response to forest management with a regional climate model" which will be submitted to Journal of Geophysical Research: Atmospheres.</p>
Response of the ozone-related health burden in Europe to changes in local anthropogenic emissions of ozone precursors (version 2.0)
<p>This data set includes the model output of the peer-reviewed paper: Gu, Y., Henze, D. K., Nawaz, M. O., and Wagner, U. J., 2023, Response of the ozone-related health burden in Europe to changes in local anthropogenic emissions of ozone precursors, Environ. Res. Lett., <strong>doi:</strong>10.1088/1748-9326/ad0167.</p> <p>The data set includes:</p> <p>-The receptor functions, expressed as the total ozone-related premature deaths from respiratory diseases in 2005 and 2015.</p> <p>-The marginal benefit, expressed as the ozone-related premature deaths avoided by a 20% reduction in anthropogenic emissions of NOx, NMVOCs, and CO in 2005 and 2015, respectively</p> <p>-The marginal contribution (per unit), expressed as the ozone-related premature deaths caused by per unit (kg/m2/yr) anthropogenic emissions of NOx in 2005 and 2015</p>
Immune Response to Rotavirus Vaccine After a Supplemental Dose Given at 9 Months of Age With Local EPI Vaccines in Mali
ClinicalTrials.gov study NCT02286895. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Niraparib Before Surgery in Treating Patients With High Risk Localized Prostate Cancer and DNA Damage Response Defects
ClinicalTrials.gov study NCT04030559. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Melatonin Effect in Combination With Neoadjuvant Chemotherapy to Clinical Response in Locally Advanced Oral Squamous Cell Carcinoma
ClinicalTrials.gov study NCT04137627. IPD Sharing: NO. Countries: 1. Publications: 1.
Nab-paclitaxel and Carboplatin Followed by Response-Based Local Therapy in Treating Patients With Stage III or IV HPV-Related Oropharyngeal Cancer
ClinicalTrials.gov study NCT02258659. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Does local adaptation along a latitudinal cline shape plastic responses to combined thermal and nutritional stress?
Open the record for dataset details and reuse information.
Data for: Local adaptation of switchgrass drives trait relations to yield and differential responses to climate and soil environments
Open the record for dataset details and reuse information.
Response to primary chemoradiotherapy of locally advanced oropharyngeal carcinoma is determined by the degree of cytotoxic T cell infiltration within tumor cell aggregates
Open the record for dataset details and reuse information.
Data from: Response of marine communities to local temperature changes
Open the record for dataset details and reuse information.
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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.
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.