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opencc-zeroFeb 2024View details →

Data from: On-site floral resources and surrounding landscape characteristics impact pollinator biodiversity at solar parks

There is increasing land use change for solar parks and growing recognition that they could be used to support insect pollinators. However, understanding of pollinator response to solar park developments is limited and empirical data are lacking. We combine field observations with landcover data to quantify the impact of on-site floral resources and surrounding landscape characteristics on solar park pollinator abundance and species richness. We surveyed pollinators and flowering plants at 15 solar parks across England in 2021, used a landcover map to assess the surrounding high-quality habitat and aerial imagery to measure woody linear features (hedgerows, woodland edges and lines of trees). In total, 1,397 pollinators were recorded, including 899 butterflies (64%), 171 hoverflies (12%), 161 bumble bees (12%), 157 moths (11%) and nine honeybees (< 1%). At least 30 pollinator species were observed, the majority of which were common, generalist species. Pollinator biodiversity varied between solar parks and was explained by a combination of on-site floral resources and surrounding landscape characteristics. Floral species richness was the most influential on-site characteristic and woody linear feature density generally had a greater impact than the cover of surrounding high-quality habitats, although drivers differed by pollinator group. Our findings suggest that a range of factors affect pollinator biodiversity at solar parks, but maximising floral resources within a park through appropriate management actions may be the most achievable way to support most pollinator groups, especially where solar parks are located in resource-poor, disconnected landscapes.

opencc-by-4.0Feb 2024View details →

Olfactory Heritage Toolkit Resource 2. Olfactory Heritage Practices

This resource presents an overview of intangible cultural heritage practices in which smells plays or can play a significant role. The list is compiled to support cultural heritage policy makers to identify the significance of olfactory heritage and help heritage communities to acknowledge the value of olfaction in heritage practices. The information is compiled by the Odeuropa project in collaboration with the Dutch Centre for Intangible Cultural Heritage (DICH), the Smell of Heritage group of University College London and the KNAW Meertens Institute.

opencc-zeroFeb 2024View details →

Vertical structural complexity of plant communities represents the combined effects of resource acquisition and environmental stress on the Tibetan Plateau

Knowledge of vertical structural complexity (VSC) is important, because the resulting spatial partitioning is closely linked to resource utilization and environmental adaptation. However, the spatial pattern of VSC on large scales and its underlying mechanisms are poorly understood. Here, we systematically investigated 2,013 plant communities through grid sampling on the Tibetan Plateau (TP). VSC was quantified as the maximum plant height within a plot (Height-max), coefficient of variation of plant height (Height-var), and Shannon evenness of plant height (Height-even). Precipitation dominated the spatial variation in VSC in forests and shrublands, supporting the classic physiological tolerance hypothesis (PTH). In contrast, for alpine meadows, steppes, and desert grasslands in extreme environments, non-resource limiting factors (e.g., wide diurnal temperature ranges and strong winds) dominate VSC variation. Generally, with the shifting of climate from favorable to extreme, the effect of resource availability gradually decreases, but the effect of non-resource limiting factors gradually increases, and that the PTH only applicable in "favorable conditions". With the help of machine learning models, maps of VSC at 1-km resolution were produced for the TP for the first time. Our new findings and maps of VSC provide new insights into macroecological studies, especially for adaptation mechanisms and model optimization.

openmit-licenseMar 2024View details →

A multi-omics systems vaccinology resource to develop and test computational models of immunity: 1st challenge dataset and submissions

The goal of the CMI-PB prediction contest is to foster a collaborative research community that can collectively tackle challenges and accelerates scientific progress beyond the capabilities of individual researchers or groups. The CMI-PB consortium has curated multi-source data from multiple individuals, encompassing Ab titers (around four antibodies/features), cell frequency (approximately 20 cell types/features), gene expression (roughly 50,000 RNA transcripts/features), and plasma proteomics (around 50 proteins/features). The challenge requires integrating these diverse data sources to predict different immune responses or tasks. Specifically, you will utilize multi-source data from several individuals on day 0 (baseline) to predict specific immune responses at later time points (1, 3, 7, and  14 days post-booster vaccination). The first CMI-PB challenge, which is an internal challenge, was conducted using datasets from 2020 (train) and 2021 (test). In the following sections, we provide detailed information on the datasets, challenge tasks, submission format, descriptions, and access to the necessary data files for participants to develop their models and make predictions. A) Multiomics CMI-PB dataset: We propose a study design that enables a systems-level understanding of the immune responses through computational modeling. Our cohort comprises aP vs. wP infancy-primed subjects boosted with Tdap. We recruit individuals born before 1995 (wP) and after 1996 (aP), collect baseline plasma and blood samples, and then at 1, 3, 7 and  14 days post booster vaccination. With the obtained samples processed, we generated omics data by: <ul> <li> Bulk PBMCs transcriptomics, </li> <li> Plasma proteomics using Olink, which provides a quantitative readout of cytokines, chemokines, and other immune factors, </li> <li> Cell frequency in PBMCs using flow cytometry, </li> <li> Tdap-specific antibodies levels </li> </ul> B) List of tasks can be accessed using the “List of tasks for challenge 1.docx” file, and submissions need to submit in provided format here: “submission template challenge 1.tsv” C) Datasets for model building and making predictions:     Data files are divided into two categories: 1) raw dataset and 2) computable matrices. <ol> <li> Raw dataset: This raw-most dataset is divided into training and test datasets.  </li> <li> Computable matrices: There are three different types of computable matrices. a) Full: These files are generated by dividing raw files into sub-files specific to planned days specific to vaccination. b) harmonized: These are generated by preserving only overlapping features between train and test datasets. b) imputed: MICE imputation is performed to impute missing values in the dataset. </li> </ol> D) Submission evaluation This folder contains all submitted models with ranking files and code for evaluating these models. To learn more about the CMI-PB prediction challenge, visit our website at www.cmi-pb.org.

opencc-zeroMar 2024View details →

The paradigm of tax-reward and tax-punishment strategies in the advancement of public resource management dynamics

In contemporary society, the effective utilization of public resources remains a subject of significant concern. A common issue arises from defectors seeking to obtain an excessive share of these resources for personal gain, potentially leading to resource depletion. To mitigate this tragedy and ensure sustainable development of resources, implementing mechanisms to either reward those who adhere to distribution rules or penalize those who do not, appears advantageous. We introduce two models: a tax-reward model and a tax-punishment model, to address this issue. Our analysis reveals that in the tax-reward model, the evolutionary trajectory of the system is influenced not only by the tax revenue collected but also by the natural growth rate of the resources. Conversely, the tax-punishment model exhibits distinct characteristics when compared to the tax-reward model, notably the potential for bistability. In such scenarios, the selection of initial conditions is critical, as it can determine the system's path. Furthermore, our study identifies instances where the system lacks stable points, exemplified by a limit cycle phenomenon, underscoring the complexity and dynamism inherent in managing public resources using these models.

opencc-by-sa-4.0Mar 2024View details →

Hranilna vrednost krmnih virov (za prašiče) /Nutritional data for feed resources (for pigs)

Baza podatkov o hranilni vrednosti krmnih virov za pra&scaron;iče, ki smo jo sestavili v sklopu projekta V4-2201, ki ga financirata ARIS in MKGP.

Additional Resources for End-user Comprehension of Transfer Risks in Smart Contracts

Google Docs versions of most of the PDFs can be found on https://linktr.ee/tethersurvey   Additionally, a survey data visualizer is found on https://tether-survey.onrender.com/

Additional Resources for Understanding End-User Perception of Transfer Risks in Smart Contracts

This contains further resources for the work titled "Understanding End-User Perception of Transfer Risks in Smart Contracts", which is set to appear in CHI 2025. This work details an investigation into user understanding of transfer risks in ERC-20 blockchain smart contracts. An example transfer risk is a user being unable to transfer due to their account being blacklisted by the owner of the contract. A large portion of this work focuses on the most popular Ethereum smart contract (USD Tether). This details responses to a 110-participant survey on smart contract users, establishing their knowledge of transfer risks and various other perceptions. Included also are the results of statistical tests on these responses, the follow-up message to the respondents and more. Another portion of this work investigates the presence of transfer risks in other top ERC-20 contracts. The results of this investigation is also found here. This also includes results of blockchain analytics to establish the top ERC-20 addresses, as well as code used for processing.

Applying innovative cloud computing technology for the effective management of Groundwater resources to promote SUStainable food security within the Sokoto Basin, Nigeria (AGSUS)

Open the record for dataset details and reuse information.

opencc-zeroMar 2024View details →

Supplementary material to "Healthcare resource use associated with tumor-induced osteomalacia: a literature review"

Tumor-induced osteomalacia (TIO) is an ultra-rare, paraneoplastic syndrome caused by tumors that secrete fibroblast growth factor 23 (FGF23). Initial signs and musculoskeletal symptoms can be non-specific and unrecognized, leading to long delays in diagnosis and treatment, which results in severe and progressive disability in patients with TIO. This review aimed to identify published evidence on healthcare resource use in TIO to better understand the burden of the disease. A targeted literature review was conducted to identify publications reporting on disease characteristics and healthcare resource use associated with TIO. In total, 414 publications were included in the review, of which 376 were case reports. From the case reports, data on 621 patients were extracted. These patients had a mean (standard deviation) age of 46.3 (15.8) years; 57.6% were male. The mean time from first symptoms to diagnosis of TIO was 4.6 (4.7) years and, in cases where imaging tests were reported, patients underwent a mean of 4.1 (2.7) procedures. Tumor resection was attempted in 81.0% of patients and successful in 67.0%. The fracture was reported in 49.3% of patients. Results from association analyses demonstrated that a longer time to diagnosis was associated with poorer tumor resection outcomes and a higher probability of tumor recurrence. Unfavorable tumor resection outcomes were associated with greater use of pharmacologic treatment and a greater likelihood of orthopedic surgery. TIO is associated with a substantial healthcare resource burden. Improvements in the diagnostic process could lead to better management of TIO, thereby benefiting patients and reducing that burden.

Resources for "Enterprise's strategies to improve financial capital under a climate change scenario – evidence of the leading country"

The dataset and code deposited here are resources used for analysis in the study titled "Enterprise’s strategies to improve financial capital under a climate change scenario – evidence of the leading country"

opencc-zeroMar 2024View details →

The combined effects of resource landscapes and herbivory on pollination services in agro-ecosystems

We apply a resource landscape approach to map the spatial distribution of floral resources across landscapes using neighbourhood modelling and empirical data on floral availability at specific land-use types. In each of 25 Mediterranean landscapes, spanning a gradient of natural-agricultural land use intensity, we established a pair of arrays of potted phytometer plants (White Wall-rocket, Diplotaxis erucoides) that were either aphid-infested or aphid-free. In each array, we recorded the activity of insect flower visitors and subsequent seed-set. At the same time, we also recorded the relative flower abundance in dominant land uses at 1 km radii around each array.

opencc-by-4.0Feb 2024View details →

Status of World Soil Resources - Southern Mexico, Central America and the Caribbean

<h1>Status of World Soil Resource - Southern Mexico, Central America and the Caribbean</h1> <h2>Supplementary dataset of the chapter published by FAO</h2> <h3>Authors:</h3> - Luis Felipe Castelblanco Rivera, master student in Earth Science at Geosciences Center, UNAM. - Mario Antonio Guevara Santamaría, associate professor at Geosciences Center, UNAM campus Juriquilla  <h3>.</h3> <h3>More information:</h3> - lcastelblancor@geociencias.unam.mx / lfcastelblancor@unal.edu.co - mguevara@geociencias.unam.mx / mguevara@comunidad.unam.mx <h3>Abstract:</h3> This chapter thoroughly examines soil threats and trends in Southern Mexico*, Central America, and the Caribbean, emphasizing their implications for sustainable land management. Through a comprehensive analysis of available data and literature, the study identifies erosion patterns, soil carbon changes, soil biodiversity indicators, nutrient mismanagement, salinization, sodification, and soil moisture decline as prominent concerns. Erosion is a significant issue, exacerbated by bare soil conditions, coastal erosion due to rising sea levels, and wind erosion influenced by land use and vegetation cover. Soil carbon changes exhibit both sequestration and loss patterns, particularly impacting agricultural soils, while soil biodiversity's role in nutrient cycling underscores the need for enhanced preservation efforts. Nutrient mismanagement, exemplified by fertilizer consumption trends and efficiency, underscores the importance of informed decision-making in optimizing soil fertility. In response to human activities, soil salinization and sodification significantly threaten agricultural sustainability, particularly across coastal areas. Soil moisture decline, linked to land use intensification and extreme climate events, further exacerbates soil degradation risks. The chapter concludes by advocating for comprehensive soil monitoring and management strategies to address these threats, which are crucial for safeguarding soil health, preserving ecosystem services, and ensuring long-term food security in the region. *We refer to the Southern Mexico to the geographical area occupied by the states: Quintana Roo, Tabasco, Veracruz, Yucatán, Oaxaca, Puebla, Guerrero, Chiapas and Campeche within the following minimum and maximum coordinates: 14.53 to 22.47 Lat, -102.18 to -86.71 Long <h3>Folder description:</h3> > SoWSR_SMx_CA_Crb.7z     > extent         - Extent_AOI_Union.shp      #Country boundaries         - Modis_CLC.shp                #Corine Land Cover from MODIS         - WRBpol.shp                      #Most probable soil type using WRB classification         - Extent_level3.shp              #Intersection of previous Shapes     > level3                         #This folder contains the data frame results of calculating zonal statistics from the rasters.         - Bare_1km_km2_ZonalStats.csv                      - CIC_0-30cm_ZonalStats.csv                      - CN_ratio_SoilGrids_null_ZonalStats.csv              - GSOCmap1.5.0_ZonalStats.csv                      - GSOCseq_absolute_ZonalStats.csv          - GSOCseq_RSR_SSM1_Map030_ZonalStats.csv         - level3_merged.csv         - N_0-30cm_ZonalStats.csv         - Rs_slope_sig_negative_ZonalStats.csv         - Rs_slope_sig_positive_ZonalStats.csv         - Salinidad_problema_ZonalStats.csv         - SM_slope_negative_ZonalStats.csv         - SM_slope_positive1_ZonalStats.csv         - SOC_slope_negative_ZonalStats.csv         - SOC_slope_positive1_ZonalStats.csv         - SOCDensity_0_30cm_ZonalStats.csv     > rasters         - Bare_1km_km2.tif                #Bare soil percent per square kilometer         - CIC_0-30cm.tif                #Cation exchange capacity in mmolc/kg         - CN_ratio_SoilGrids_null            #Carbon:Nitrogen ratio from the report of SoilGrids         - GSOCmap1.5.0.tif                #Stock of global soil carbon reported by FAO          - GSOCseq_absolute.tif                #Product of the difference between initial stock of GSOCmap and Final Stock SSM1 from FAO          - GSOCseq_RSR_SSM1_Map030.tif            #Relative Sequestration Rates SSM1 from FAO         - N_0-30cm                    #Soil nitrogen content in cg/kg         - Rs_slope_sig_negative.tif            #Heterotrofic respiration negative trend         - Rs_slope_sig_positive.tif            #Heterotrofic respiration positive trend         - Salinidad_problema.tif            #Areas with salinity (>3 ds/m) from https://doi.org/10.1016/j.rse.2019.111260         - SM_slope_negative.tif                #Soil moisture negative trend from https://doi.org/10.5194/essd-14-4473-2022         - SM_slope_positive1.tif            #Soil moisture positive trend from https://doi.org/10.5194/essd-14-4473-2022         - SOC_slope_negative.tif            #Soil organic carbon negative trend from https://doi.org/10.5067/3K9F0S1Q5J2U         - SOC_slope_positive1.tif            #Soil organic carbon positive trend from https://doi.org/10.5067/3K9F0S1Q5J2U         >Heterotrophic_respiration_info             - XY_PRACTICAS.csv: Coordinates of places where sustainable soil management exists thanks to FAO-ITPS 2020. Protocol for the assessment of Sustainable Soil Management. Rome, FAO             - Rs_DESCRIP.pdf Supplementary Information SI1. Description of Rs database.      - DB_final.xlsx                     #Data base with the information extract from de raster to build the quantitative data presented in the chapter     - ZonalStat_for_prl.py                     #Python script to process the zonal statictis of the rasters using the extent (Shapes) to obtain the data frames (CSV) in folder level3.

Figure 6 in Analysis of Carapas Width and Weight on Maturity Level of Swimming Crab (Portunus pelagicus) as Basis for Sustainable Resource Management in the Eastern Waters of Surabaya

Figure 6: Percentage of maturity level of female swimming crabs

Figure 5 in Analysis of Carapas Width and Weight on Maturity Level of Swimming Crab (Portunus pelagicus) as Basis for Sustainable Resource Management in the Eastern Waters of Surabaya

Figure 5. Percentage of spawning females Phase

Figure 4 in Analysis of Carapas Width and Weight on Maturity Level of Swimming Crab (Portunus pelagicus) as Basis for Sustainable Resource Management in the Eastern Waters of Surabaya

Figure 4: Sex ratio distribution of swimming crab

Figure 1 in Analysis of Carapas Width and Weight on Maturity Level of Swimming Crab (Portunus pelagicus) as Basis for Sustainable Resource Management in the Eastern Waters of Surabaya

Figure 1: Maturity level composition of swimming crab based on carapace width

Figure 3 in Analysis of Carapas Width and Weight on Maturity Level of Swimming Crab (Portunus pelagicus) as Basis for Sustainable Resource Management in the Eastern Waters of Surabaya

Figure 3: Average weight of swimming crab

Figure 2 in Analysis of Carapas Width and Weight on Maturity Level of Swimming Crab (Portunus pelagicus) as Basis for Sustainable Resource Management in the Eastern Waters of Surabaya

Figure 2: Average Carapace Width of Swimming Crab