Find research datasets worth reusing

Data, simulations/projections, and supporting materials for simulated hydrologic responses to climate-change projections for the Lake Tahoe basin: subbasin-scale results

This dataset contains data, simulations, projections, and supporting materials associated with simulated hydrologic responses, at the scale of 60 subbasins comprising the Lake Tahoe Basin, California and Nevada, to a 16-member ensemble of statistically-downscaled projections of climate change, 1950-2099. The process and results are described in detail in <div>Dettinger, M., & Rajagopal, S., 2023, Simulated hydrologic responses to climate-change </div> <div>projections for the Lake Tahoe Basin: Desert Research Institute Publication 41292, 99 p.,</div> <div> </div> <div>which is included here. </div> <div> </div> <div>The dataset as presented here contains 6 files, including one large zipped file that itself contains some 1,975 files, mostly simple text files of data, simulation outputs, and analytical results organized into dozens and dozens of subdirectories to allow specific elements to be identified and isolated. Beyond this large collection, the zipped file also contains copies of the report(s), selected supporting documents, graphical files, codes, and copious #readme.txt files to orient the user. </div>

Stakeholder consultation analysis for the project "Proposal of a terminology of medication adherence enabling and supporting activities" (ENABLE terminology)

These documents relate to the stakeholder consultation performed within the ENABLE COST action (European Network to Advance Best practices & technoLogy on medication adherencE, CA 19132) regarding a new terminology of medication adherence enabling and supporting activities. They include the data and quantitative analysis of the eDelphi survey performed in Malaga, Spain in May 2022, as part of this consultation.

The presence and abundance of Escherichia coli in beach sediment following a coastal renourishment project

Erosion poses a major threat to oceanic beaches worldwide. To combat this threat, management agencies often utilize renourishment, which supplements eroded beaches with offsite sand. This process alters the physical characteristics of the beach and can subsequently influence the presence and abundance of microbes. In this study, we examined how a renourishment project impacted sand grain size and the presence and abundance of Escherichia coli (E. coli), a common bacteria species. Using an observational field approach, we compared abundances of E. coli and sand grain sizes between non-renourished and renourished sections of Folly Beach, South Carolina, USA in 2014 and 2015. We found that E. coli was prevalent in every zone of the beach in both years of sampling. Additionally, we found that in comparison to non-renourished areas, renourished areas had significantly higher abundances of E. coli and coarser sand grains in the intertidal zone. However, these differences were temporary and only present following the initial renourishment event. Collectively, our findings raise concerns about how physical changes in sand grain size, and the introduction of offsite sand to a beach, could alter bacterial presence and growth. However, more work is needed to fully understand the timescales these effects operate upon.

Adders are Amazing project evaluation of attitudes and connectedness to nature

<ol> <li>Adder (Vipera berus) populations are experiencing declines in many countries, including the UK. Perceptions of adders and other venomous snakes are generally negative, making conservation of these species a challenge, and persecution remains within the top five perceived causes for adder declines in the UK. Improved understanding and attitudes are needed to support current conservation efforts. However, ensuring these positive attitudes continue into the future relies on addressing children's loss of connection to nature, and intervention at this early attitude-formation stage can be crucial for traditionally 'unpopular' species, such as snakes.</li> <li>An adder-focussed public-engagement project, Adders are Amazing!, was carried out in Pembrokeshire, UK, in 2018–19 to improve understanding and attitudes towards adders using a blended science-creative arts approach. The project included half-day primary school-based workshops to inform 111 pupils aged 8 to 11 about adder ecology, alongside creative art experiences. Questionnaires were used to measure the children's attitudes towards adders and their nature connectedness both before and after the workshops and these were compared with equivalent questionnaires carried out at a control school (57 pupils) where no workshops were conducted. </li> <li>The project demonstrated that engagement that blends both art and science can significantly change attitudes towards adders without any direct contact with the animals themselves; specifically, participants' scores for 'Wonder', 'Learning Interest' and 'Conservation Concern' increased. The workshops also significantly increased measures of the children's general connectedness to nature (specifically, 'Enjoyment of Nature' and 'Responsibility for Nature').</li> <li>We recommend conservation bodies focus on, and not shy away from, so-called 'unpopular' species, to promote understanding and acceptance of these species and support their conservation. Blended arts-science initiatives, which can be easily adapted to suit a wide range of species and the artistic practices of local communities, are an effective way to achieve this.</li> </ol>

Data from: the Siam chicken bioresource project: genetic diversity and origin of Thai chicken breeds

Three separate studies have delved into the genetic characteristics, origins, and unique attributes of various chicken breeds in Thailand, providing crucial insights for future breeding programs. The first study focused on Chee Fah and Fah Luang, black-boned chicken breeds in Chiang Rai, Thailand. Despite their economic and cultural significance, little was known about their genetics. Mitochondrial DNA D-loop sequencing and microsatellite genotyping revealed shared genetic heritage with Chinese black-boned chickens, suggesting their origin. Distinct genetic patterns were identified compared to Thai domestic chickens and red junglefowl, indicating crossbreeding and introgression during domestication. Interestingly, the Chee Fah and Fah Luang chickens from different localities exhibited different gene pool structures, possibly influenced by environmental factors like elevation. The second study centered on the Mae Hong Son chicken, a local breed in Northern Thailand. Genetic analyses, including microsatellite markers and mitochondrial D-loop sequencing, unveiled high genetic diversity and unique allelic gene pool patterns. This breed likely originated as a crossbreed between red junglefowl and Thai indigenous village chickens, adapting to local environmental, social, and cultural conditions. The third study examined Lao Pa Koi (LPK) chickens, a popular fighting breed in Thailand. Genetic diversity assessments using microsatellite markers and mitochondrial DNA (mtDNA) D-loop sequences confirmed high variability and genetic admixture between red junglefowl and Thai domestic chickens. Spatial suitability analysis highlighted the importance of elevation in shaping LPK chicken distribution. In conclusion, these studies collectively enhance our understanding of the genetic foundations, origins, and adaptation of diverse chicken breeds in Thailand. This knowledge is crucial for developing effective breeding programs and preserving these valuable genetic resources.

GEOLAB - Transnational Access project HSRTSUB - Resilient behaviour of stabilized and conventional high-speed's rail track subgrades under different drainage conditions and seat loads

In this study, the shear strength of track ballast material is evaluated by testing different types of track ballast specimens, which was conducted in a Large-scale Triaxial Apparatus at ZAG ) that has a shear area of 40 cm x 40 cm and can accommodate specimens up to 80 cm high. It enable loading of specimens in simple shear mode. The tests, which were conducted within HSRTSUB project, include two different types of ballast, the fouled ballast samples and the clean ballast samples, and two different specimen preparation techniques (with and without compaction). The normal stresses used cover a wide range from 50 to 400 kPa. The European standard EN13450 "Aggregates for railway ballast" was used. This standard specifies the properties of aggregates obtained by processing natural, manufactured or recycled crushed unbound aggregates for use in the construction of the upper layer of railway track. For the purposes of this standard, the aggregate is referred to as track ballast. Tests were conducted under unsaturated conditions with two types of lightweight materials: - fouled ballast aggregates and - clean ballast aggregates

Updated Projections of Residential Energy Consumption across Multiple Income Groups under Decarbonization Scenarios using GCAM-USA

Understanding the residential energy consumption patterns across multiple income groups under decarbonization scenarios is crucial for designing equitable and effective energy policies that address climate change while minimizing disparities. This dataset is developed using an integrated human-Earth system model, supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment at Pacific Northwest National Laboratory (PNNL). Compared to the first version of the dataset (<a href="https://zenodo.org/record/79880387">https://zenodo.org/record/79880387</a>), this updated dataset is based on model runs where the Inflation Reduction Act (IRA) are implemented in the model scenarios. In addition to the queried and post-processed key output variables related to residential energy sector in .csv tables, we also upload the full model output databases in this repository, so that users can query their desired model outputs. GCAM-USA operates within the Global Change Analysis Model (GCAM), which represents the behavior of, and interactions between, different sectors or systems, including the energy system, the economy, agriculture and land use, water, and the climate. GCAM is one of only a few integrated global human-Earth system models, also known as Integrated Assessment Models (IAMs), which address key processes in inter-linked human and earth systems and provide insights into future global environmental change under alternative scenarios (IAMC, 2022). GCAM has global coverage with varying spatial disaggregation depending on the type of system being modeled. For energy and economy systems, 32 regions across the globe, including the USA as its own region, are modeled in GCAM. GCAM-USA advances with greater spatial detail in the USA region, which includes 50 States plus the District of Columbia (hereinafter “state”). The core operating principle for GCAM and GCAM-USA is market equilibrium. The model solves every market simultaneously at each time step where supply equals demand and prices are endogenous in the model. The official documentation of GCAM and GCAM-USA can be found at: <a href="https://jgcri.github.io/gcam-doc/toc.html">https://jgcri.github.io/gcam-doc/toc.html</a>. The dataset included in this repository is based on an improved version of GCAM-USA v6, where multiple consumer groups, differentiated by the average income level for 10 population deciles, are represented in the residential building energy sector. As of September 24, 2023, the latest officially released version of GCAM-USA has a single consumer (represented by average GDP per capita) in the residential sector and thus does not include this feature. This multiple-consumer feature is important because (1) demand for residential floorspace and energy are non-linear in income, so modeling more income groups improves the representation of total demand and (2) this feature allows us to explore the distributional effects of policies on these different income groups and the resulting disparity across the groups in terms of residential energy security. If you need more information, please contact the corresponding author. Here, we ran GCAM-USA with the multiple-consumer feature described above under four scenarios over 2015-2050 (Table 1), including two business-as-usual scenarios and two decarbonization scenarios (with and without the impacts of climate change on heating and cooling demand). This repository contains the full model output databases and key output variables related to the residential energy sector under the four scenarios, including: <ul> <li>income shares by consumer groups at each state over 2015-2050 (Casper et al., 2023)</li> <li>residential energy consumption per capita by service, fuel, state, and income group, 2015-2050</li> <li>residential energy service output (energy consumption * technology efficiency) per capita by service, fuel, state, and income group, 2015-2050</li> <li>estimated energy burden (Eq.1), by state and income group, 2015-2050</li> <li>estimated satiation gap (Eq.2), by service, state, and income group, 2015-2050</li> <li>residential heating service inequality (Eq.3), by state, 2015-2050</li> </ul>   Table 1 <table> <thead> <tr> <th scope="col">Scenarios</th> <th scope="col">Policies</th> <th scope="col">Climate Change Impacts</th> </tr> </thead> <tbody> <tr> <td>BAU (Business-as-usual)</td> <td>Existing state-level energy and emission policies (including IRA)</td> <td>Constant HDD/CDD (heating degree days / cooling degree days)</td> </tr> <tr> <td>BAU_climate</td> <td>Existing state-level energy and emission policies (including IRA)</td> <td>Projected state-level HDD/CDD through 2100 under RCP8.5</td> </tr> <tr> <td>NZ (Net-Zero by 2050)</td> <td> In addition to BAU, two national targets: <ul> <li>50% net-GHG emission reduction relative to 2005 level and net-zero GHG emissions by 2050</li> <li>US power grid achieves clean-grid by 2035</li> </ul> </td> <td>Constant HDD/CDD</td> </tr> <tr> <td>NZ_climate</td> <td> In addition to BAU, two national targets: <ul> <li>50% net-GHG emission reduction relative to 2005 level and net-zero GHG emissions by 2050</li> <li>US power grid achieves clean-grid by 2035</li> </ul> </td> <td>Projected state-level HDD/CDD through 2100 under RCP8.5</td> </tr> </tbody> </table>   Eq. 1 \(Energy\ burden_{i,k} = \dfrac{\sum_j (service\ output_{i,j,k} * service\ cost_{j,k})}{GDP_{i,k}}\) for income group i and state k, that sums over all residential energy services j.   Eq. 2 \(Satiation\ Gap_{i,j,k} = \dfrac{satiation\ level_{j,k} - service\ output_{i,j,k}} {satiation\ level_{j,k}}\) for service j, income group i, and state k. Note that the satiation level and service output are per unit of floorspace.   Eq. 3 \(Residential\ heating\ service\ inequality_j = \dfrac{S_j^{d10}}{(S_j^{d1} +S_j^{d2} + S_j^{d3} + S_j^{d4})}\) for service j where S is the residential heating service output per capita of the highest income group (d10) divided by the sum of that of the lowest four income groups (d1, d2, d3, and d4), similar to the Palma ratio often used for measuring income inequality. A higher Palma ratio indicates a greater degree of inequality. Among the key output variables in this repository, we provide the residential heating service inequality output table as an example.   Reference Casper, K. C., Narayan, K. B., O'Neill, B. C., Waldhoff, S. T., Zhang, Y., & Wejnert-Depue, C. (2023). Non-parametric projections of the net-income distribution for all U.S. states for the shared socioeconomic pathways. Environmental Research Letters. http://iopscience.iop.org/article/10.1088/1748-9326/acf9b8. IAMC. 2022. The common Integrated Assessment Model (IAM) documentation [Online]. Integrated Assessment Consortium. Available: https://www.iamcdocumentation.eu/index.php/IAMC_wiki [Accessed May 2023].   Acknowledgement This research was supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment, under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL). PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.

ADVEX - The CarboEurope-Integrated Project Advection Experiment Data Set

Extensive field measurements have been performed at three CarboEurope-Integrated Project forest sites with different topography (Renon/Ritten, Italian Alps, Italy; Wetzstein, Thuringia, Germany; Norunda, Uppland, Sweden) to evaluate the relevant terms of the carbon balance by measuring CO2 concentrations [CO2] and the wind field in a 3D multitower cube setup. The same experimental setup (geometry and instrumentation) and the same methodology were applied to all the three experiments. Refer to Feigenwinter et al. (2008), <a href="https://doi.org/10.1016/j.agrformet.2007.08.013">https://doi.org/10.1016/j.agrformet.2007.08.013</a> for more details of the ADVEX campaign.

Synthetic along-track altimetry data over 1993-2018 from a NEMO-based simulation of the IMHOTEP project

"Synthetic observations" of along-track SSH have been extracted online during the  production of the global, NEMO-based experiment ** IMHOTEP-GAIc**, at every single time and locations where a true SLA observation exists in the AVISO database for the along-track altimetry from the TOPEX, Jason-1, Jason-2 and Jason-3 satellite continuous series over the period 1993-2018. This global ocean/sea-ice/iceberg simulation uses the NEMO model, and has a horizontal resolution of 1/4°. The atmospheric forcing applied at the surface is based on the JRA reanalysis (Kobayashi et al., 2015) and varies over the full range of time-scales from 6 hours to multi-decadal. The freshwater runoff forcing applied to the experiment is fully-variable (daily to multi-decadal)  based on the ISBA hydrographic reanalysis for rivers (Decharme et al., 2019) and from altimeter data and regional GCM simulations for the liquid and solid discharges from the Greenland ice-sheet (Mouginot et al 2019). These runoffs are only climatological around Antarctica. This synthetic along-track SSH dataset from the model is available over the altimetry period (1993-2018). It is provided there along with a time-mean model SSH (gridded model field) over the same period that can be used as a proxy for mean dynamic topography ("MDT").See the README file for more information. And online documentation is also available here: https://doc-imhotep.readthedocs.io/en/latest/6-Synthetic-Obs.html

opencc-by-4.0Jul 2022View details →

Shifts in Mapping, research project 2018–2021

“Shifts in Mapping” (2018-2021) is a fundamental research project initiated by Dr. Christine Schranz with a focus on digital maps and critical mapping, carried at the FHNW Academy of Arts and Design in Basel, with the support from the Swiss National Science Foundation (SNSF). Principal Investigator, Book Editor, Exhibition Co-Curator: Dr. Christine Schranz Video Production: Maria Smigielska Soudtrack: Vodovoz Music Production

opencc-by-4.0Aug 2023View details →

Surface temperature pattern scenarios suggest larger rates of warming than projected [DATA]

Data for global-mean temperature projections and global-mean radiative feedback projections.  See PDF for file description.

opencc-zeroOct 2023View details →

Reference genome resources associated with the project: Functional genetic diversity is correlated with intensity of genetic drift in populations of an endangered rattlesnake

Theory predicts that genetic erosion in small, isolated populations of endangered species can be assessed using estimates of neutral genetic variation reflecting long-term impacts of genetic drift, yet this widely used approach has been questioned in the genomics era. Here we leverage a chromosome-level assembly and whole genome resequencing data (N=110 individuals) from an endangered rattlesnake (Sistrurus catenatus) to evaluate the relationship between genome-wide neutral and functional diversity over long- and short-term timescales. As predicted for populations at long-term equilibrium, we found a positive correlation between population-level estimates of neutral genetic diversity (π) and the mean number of highly detrimental loss-of-function mutations, and a negative relationship between neutral genetic diversity and an estimate of genetic load. In contrast, we found only a weak, non-significant positive correlation between levels of neutral and adaptive variation. Additional analyses using estimates of drift at more recent time scales (> 100 generations) show expected correlations between both measures of genetic load, but a lack of a significant correlation with levels of adaptive variation. Individual-based demographic metrics that capture drift impacts over recent time scales confirm these results. Broadly, our results confirm that estimates of diversity and demography based on neutral genetic variation provide an accurate measure of a key component of genetic erosion – genetic load – in populations of a threatened vertebrate. Our findings also provide nuance to the neutral-functional diversity controversy by demonstrating that neutral genetic diversity is useful in predicting some, but not all, components of functional genetic diversity.

opencc-zeroOct 2023View details →

Data on: Projecting spatiotemporal dynamics of severe fever with thrombocytopenia syndrome in the mainland of China

This dataset is the data used in the paper of Global change biology entitled "Projecting spatiotemporal dynamics of severe fever with thrombocytopenia syndrome in the mainland of China". We use an integrated multi-model, multi-scenario framework to assess the impact of global climate change on SFTS disease in the mainland of China. The SFTS incidence in three time periods (2030-2039, 2050-2059, 2080-2089) is predicted to be increased as compared to the 2010s in the context of various RCPs. The projected spatiotemporal dynamics of SFTS will be heterogeneous across provinces. Notably, we predict possible outbreaks in Xinjiang and Yunnan in the future, where only sporadic cases have been reported previously. These findings highlight the need for population awareness of SFTS in endemic regions, and enhanced monitoring in potential risk areas.

FEW-meter project data archive_31_12_2020

Data collected in the FEW-meter project for the growing season 2020 from all case studies. The state as of December 31, 2020.

FEW-meter project data archive_01_07_2020

Data collected in the FEW-meter project for the growing season 2020 from all case studies. The state as of July 07, 2020.

opencc-by-4.0Dec 2022View details →

MindBot EU project - Dataset

Final protocol and dataset associated to the European Project MindBot funded from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 847926

Prediction of Port Recovery Time after a Severe Storm Project

Predicting the impact of incoming tropical cyclones on ports in terms of the number of days underperforming is crucial for the effective management of the ports. However, existing methods perform undesirably due to the limited data and the inherent uncertainty associated with cyclone trajectory forecasting. This study applies a recommendation algorithm to address these challenges by focusing on predicting port impact rankings instead of predicting the duration of port impacts, which is often inaccurate and unreliable. First, we have collected comprehensive features of ports and hurricanes in the Gulf of Mexican and employed a modular time-series regression model to determine the duration of port impacts due to tropical cyclones, leveraging vessel count data extracted from the Automatic Identification System (AIS). Inspired by the recommendation algorithm, we recast tropical cyclones and ports as “user” and “items,” respectively, while the duration of port impacts represents their “interaction,” offering an innovative approach to model and analyze cyclone effects on ports. The Factorization Machine (FM) is adopted to learn the relationship between features (i.e., ports and cyclones) and subsequently conduct the port impact ranking. Finally, utilizing the hurricanes Alex, Ian, and Nicole that happened in 2022 as testing cases, the FM-based model excels in prediction performance and robustness against uncertainties compared to the widely used distance-based method. This study aims to provide port authorities and other stakeholders with a trustworthy tool for informed disaster management decisions, thereby enhancing port resilience.

opencc-zeroOct 2023View details →

Cue- versus reward-encoding basolateral amygdala projections to nucleus accumbens

In substance use disorders, drug use as unconditioned stimulus (US) reinforces drug taking. Meanwhile, drug-associated cues (conditioned stimulus, CS) also gain incentive salience to promote drug seeking. The basolateral amygdala (BLA) is implicated in both US- and CS-mediated responses. Here, we show that two genetically distinct BLA neuronal types, expressing Rspo2 versus Ppp1r1b, respectively, project to the nucleus accumbens (NAc) and form monosynaptic connections with both dopamine D1 and D2 receptor-expressing neurons. While intra-NAc stimulation of Rspo2 or Ppp1r1b presynaptic terminals establishes intracranial self-stimulation (ICSS), only Ppp1r1b-stimulated mice exhibit cue-induced ICSS seeking. Furthermore, increasing versus decreasing the Ppp1r1b-to-NAc, but not Rspo2-to-NAc, subprojection increases versus decreases cue-induced cocaine seeking after cocaine withdrawal. Thus, while both BLA-to-NAc subprojections contribute to US-mediated responses, the Ppp1r1b subprojection selectively encodes CS-mediated reward and drug reinforcement. Such differential circuit representations may provide insights into precise understanding and manipulation of drug- versus cue-induced drug seeking and relapse.

raw and preprocessed data included to the paper "Striatum-projecting prefrontal cortex neurons support working memory maintenance"

This Dataset includes matlab variables containing all raw and preprocessed data1) fiber photometry experiments (GCaMP and GFP)2) miniscope experiments3) optogenetics experiments4) DLC video analysis for photometry recording, optogenetic inhibition ArchT, optogenetic activation ChR2,  optogenetic activation ChR2 + MK801, control experiments for optogenetic inhibition and activation5) Source Data Files for all main and supplementary Figures  collected for the paper "Striatum-projecting prefrontal cortex neurons support working memory maintenance"Maria Wilhelm1,2,6, Yaroslav Sych1,7, Aleksejs Fomins1,2, José Luis Alatorre Warren1,8, Christopher Lewis1, Laia Serratosa Capdevila1, Roman Boehringer3, Elizabeth A. Amadei3, Benjamin Grewe2,3,4, Eoin C. O'Connor5, Benjamin J. Hall5,9, Fritjof Helmchen1,2,4*1Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland.2Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland. 3Institute of Neuroinformatics, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland. 4University Research Priority Program (URPP) Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland5Neuroscience & Rare Diseases, Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.6Present address: Institute for Neuroscience, ETH Zurich, 8057 Zurich, Switzerland. 7Present address: Institute of Cellular and Integrative Neuroscience, CNRS, University of Strasbourg, Strasbourg, France.8Present address: Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0317, Norway.9Present address: Circuit Biology Department, H. Lundbeck A/S, Valby, Denmark.These authors contributed equally: Maria Wilhelm, Yaroslav Sych*email: <a href="mailto:helmchen@hifo.uzh.ch">helmchen@hifo.uzh.ch</a>

Mind the Gap: Comparing Exploration Effort with Global Biodiversity Patterns and Climate Projections to Determine Ocean Areas with Greatest Exploration Needs- Dive metadata

Meta data for deep submergence dive locations associated with "Mind the Gap: Comparing Exploration Effort with Global Biodiversity Patterns and Climate Projections to Determine Ocean Areas with Greatest Exploration Needs" published in Frontier of Marine Science 2023.