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ShareScore release 0.9.0

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558 results for “Training Data”

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dryad32/100

Data from: Out of Africa: the slow train to Australasia

We used mitochondrial DNA (mtDNA) sequences to test biogeographic hypotheses for Patiriella exigua (Asterinidae), one of the world's most widespread coastal sea stars. This small intertidal species has an entirely benthic life history and yet occurs in southern temperate waters of the Atlantic, Indian, and Pacific oceans. Despite its abundance around southern Africa, southeastern Australia, and several oceanic islands, P. exigua is absent from the shores of Western Australia, New Zealand, and South America. Phylogenetic analysis of mtDNA sequences (cytochrome oxidase I, control region) indicates that South Africa houses an assemblage of P. exigua that is not monophyletic (P = 0.04), whereas Australian and Lord Howe Island specimens form an interior monophyletic group. The placement of the root in Africa and small genetic divergences between eastern African and Australian haplotypes strongly suggest Pleistocene dispersal eastward across the Indian Ocean. Dispersal was probably achieved by rafting on wood or macroalgae, which was facilitated by the West Wind Drift. Genetic data also support Pleistocene colonization of oceanic islands (Lord Howe Island, Amsterdam Island, St. Helena). Although many biogeographers have speculated about the role of long-distance rafting, this study is one of the first to provide convincing evidence. The marked phylogeographic structure evident across small geographic scales in Australia and South Africa indicates that gene flow among populations may be generally insufficient to prevent the local evolution of monophyly. We suggest that P. exigua may rely on passive mechanisms of dispersal.

opencc-zeroDec 2017View details →

dryad32/100

Data from: Linking habitat composition, local population densities and traffic characteristics to spatial patterns of ungulate-train collisions

1. Total length of railways worldwide exceeds 1 million kilometres and recent railway development directly impacts wildlife because of animal-train collisions. Few studies, however, have analysed factors driving ungulate-train collisions. 2. We analysed over 3500 ungulate-train collisions including roe deer, red deer, wild boar, and moose collected in 2012-2015 in Poland. We compared train traffic characteristics (e.g. traffic intensity, speed, rail curvature), land-use and habitat characteristics (e.g. share of forests and build-up areas) and local ungulate population densities at collision sites and random sites distributed along the rail network. 3. Forest coverage generally increased, while urban areas decreased ungulate collision risk. Local density of ungulate species was strongly positively related to the relative collision risk in all four ungulate species, but above certain densities, the risk levelled off for all four species. 4. Train speed and train traffic intensity were positively associated with elevated collision risk in all four species, but the latter in a non-linear manner reached an asymptote at the level of ca. 10 trains per day. Rail curvature also increased probability of collisions with roe deer and red deer and possibly also wild boar. 5. Mortality rate of ungulates on railways in Poland is estimated to be 0.13-0.42% of annual hunting bags of studied species assuming that only one individual is killed at each occasion and ignoring undetected collisions. These values are expected to increase in near future due to increasing train speed in Central European countries. 6. Synthesis and applications. Ungulate-train collisions spots are characterised by surrounding forest, rail curvature, high train speed, and a moderate to high train traffic intensity. To reduce collision risk in a cost-effective way, we suggest to prioritise mitigation actions at sections of the railway characterized by those factors, e.g. by fencing and various warning devices. Due to nonlinear correlation between collision risk and population density, reducing density of ungulates will most likely reduce collision risk only marginally, and only in regions of low population densities where collision risk is relatively low anyway.

opencc-zeroSep 2019View details →

dryad32/100

Data from: Bachelors level soil science training at land grant institutions in the USA and its territories

Concern over the status of soil science education in the USA has led to a number of publications in recent years that track trends in student enrollment and offer suggestions for attracting more students to soil science. However, there is little information about changes in the number of degree programs that prepare students for careers as soil scientists, and such changes are obviously an important measure of the status of our field. This study established criteria to identify bachelor's degree programs that prepare students for soil science careers and used websites at land grant colleges to review the degree offerings of these schools in USA states and territories to determine if they met the established criteria. Fifty-nine land grant colleges were identified that offer bachelor's degree programs that prepare students for soil science careers, with a total of 61 degree programs since two of the schools had two separate bachelor's degrees that met the established criteria. This study provides guidelines for conducting similar future studies and a baseline against which they can be compared to allow us to determine whether we are gaining or losing soil science programs at the land grant colleges over time.

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Dataset results

Data from: Out of Africa: the slow train to Australasia

Data from: Linking habitat composition, local population densities and traffic characteristics to spatial patterns of ungulate-train collisions

Data from: Bachelors level soil science training at land grant institutions in the USA and its territories

Data used for training glioblastoma NF1 classifier

Data and trained model for iPXRDnet

"An efficient ptychography reconstruction strategy through fine-tuning of large pre-trained deep learning model" train and test data

MME-only models trained with clean data for JAMES paper "Machine-learned uncertainty quantification is not magic"

MME-only models trained with lightly perturbed data for JAMES paper "Machine-learned uncertainty quantification is not magic"

MME/CRPS models trained with clean data for JAMES paper "Machine-learned uncertainty quantification is not magic"

MME/CRPS models trained with lightly perturbed data for JAMES paper "Machine-learned uncertainty quantification is not magic"

Data and training checkpoints of BTO

Dataset for "Explainable Offline-Online Training of Neural Networks for Parameterizations: A 1D Gravity Wave-QBO Testbed in the Small-data Regime" by Pahlavan et al. (2023)

Training data for the shared task Ideology and Power Identification in Parliamentary Debates (2024)

A sample of the training data used in the paper "A Hybrid Physics-AI (HyPhAI) approach for probability fields advection: Application to cloud cover nowcasting"

Potential and training data for 'Structure-property relations of silicon oxycarbides studied using a machine learning interatomic potential'

DIPROMATS 2024 - Shared Task 2: few-shot training data for narrative identification

preprocessed training data

$swint vision model training data

Source data for manuscript(De novo protein design with a denoising diffusion network independent of pre-trained structure prediction models)

Source data for manuscript(De novo protein design with a denoising diffusion network independent of pre-trained structure prediction models)

Understand access before you commit

Allen Brain Atlas

Annotated Behaviour and Observability Dataset (ABODe)

DANDI Archive for NWB datasets

International Brain Laboratory public data

OpenNeuro