Find research datasets worth reusing

Date Fruit classification using a wide range of classifiers

Datasets generated by the techniques RUS and SMOTE. These datasets were used in the paper Date Fruit classification using a wide range of classifiers, accepted for publication in the International Conference on Systems, Signals and Image Processing (IWSSIP) 2023.

opencc-zeroMay 2023View details →

Habitat and climatic associations of climate-sensitive species along a southern range boundary

Climate change and habitat loss are recognized as important drivers of shifts in wildlife species' geographic distributions. While often considered independently, there is considerable overlap between these drivers, and understanding how they contribute to range shifts can predict future species assemblages and inform effective management. Our objective was to evaluate the impacts of habitat, climatic, and anthropogenic effects on the distributions of climate‐sensitive vertebrates along a southern range boundary in Northern Michigan, USA. We combined multiple sources of occurrence data, including harvest and citizen‐science data, then used hierarchical Bayesian spatial models to determine habitat and climatic associations for four climate‐sensitive vertebrate species (American marten [Martes americana], snowshoe hare [Lepus americanus], ruffed grouse [Bonasa umbellus], and moose [Alces alces]). We used total basal area of at‐risk forest types to represent habitat, and temperature and winter habitat indices to represent climate. Marten associated with upland spruce‐fir and lowland riparian forest types, hares with lowland conifer and aspen‐birch, grouse with lowland riparian hardwoods, and moose with upland spruce‐fir. Species differed in climatic drivers with hares positively associated with cooler annual temperatures, moose with cooler summer temperatures, and grouse with colder winter temperatures. Contrary to expectations, temperature variables outperformed winter habitat indices. Model performance varied greatly among species, as did predicted distributions along the southern edge of the Northwoods region. As multiple species were associated with lowland riparian and upland spruce‐fir habitats, these results provide potential for efficient prioritization of habitat management. Both direct and indirect effects from climate change are likely to impact the distribution of climate‐sensitive species in the future and the use of multiple data types and sources in the modelling of species distributions can result in more accurate predictions resulting in improved management at policy‐relevant scales.

opencc-zeroMay 2023View details →

Testing for adaptive changes linked to range expansion following a single introduction of the fall webworm

Adaptive evolution following colonization can affect the impact of invasive species. The fall webworm (FWW) invaded China 40 years ago through a single introduction event involving a severe bottleneck and subsequently diverged into two genetic groups. The well-recorded invasion history of FWW, coupled with a clear pattern of genetic divergence, provides an opportunity to investigate whether there is any sign of adaptive evolution following the invasion. Based on genome-wide SNPs, we identified genetically separated western and eastern groups of FWW and correlated spatial variation in SNPs with geographical and climatic factors. Geographic factors explained a similar proportion of the genetic variation across all populations compared to climatic factors. However, when the two population groups were analyzed separately, environmental factors explained more of the variation than geographic factors. SNP outliers in populations of the western group had relatively stronger response to precipitation than temperature-related variables. Functional annotation of SNP outliers identified genes associated with insect cuticle protein potentially related to desiccation adaptation in the western group and genes associated with lipase biosynthesis potentially related to temperature adaptation in the eastern group. Our study suggests that invasive species may maintain evolutionary potential to adapt to heterogeneous environments despite a single invasion event. The molecular data suggest that quantitative trait comparisons across environments would be worthwhile.

opencc-by-4.0Dec 2017View details →

Figure 3 in New range extensions for the Canadian Chironomidae fauna from two urban streams

Figure 3. Sublettea coffmani (Roback, 1975) pupa. a) Thoracic horn, b) Abdominal tergite I-V, c) Spine patches on segment IV, d) Spine patches on ventral side of sternite VIII (arrows), e) Anal lobe and genital sac.

opencc-by-4.0Dec 2017View details →

Figure 2 in New range extensions for the Canadian Chironomidae fauna from two urban streams

Figure 2. Rheosmittia spinicornis (Brundin, 1956) pharate male a-b, pupa c-d. a) Thorax, arrow indicates the location of scutal tubercle, b) Hypopygium, arrows indicate the inferior volsella, c) Cephalothorax, d) Anal lobes and genital sacs.

opencc-by-4.0Dec 2017View details →

Figure 1 in New range extensions for the Canadian Chironomidae fauna from two urban streams

Figure 1. Odontomesa fulva (Kieffer, 1919) larva. a) Antenna, b) Labrum, SIV A (black arrow) and premandibles (white arrows), c) Mentum, d) Ventromental plate, e) Mandible, arrow points to basal external seta with 2 branches at the base, f) Variation of basal external seta with several branches, g) Posterior portion of the larva.

opencc-by-4.0Jun 2023View details →

Dataset and Model for "Understanding the limits to short-range order suppression in many-component disordered rock salt lithium-ion cathode materials"

Data and Model For "Understanding the limits to Short-range order Suppression in Many-Component Disordered Rock Salt Lithium-ion Cathode Materials" Paper DOI: 10.1039/D3TA02088F Raw data (VASP calculations) and production model for the associated paper. - `cluster_expansions` contains the final model used for the analysis in the    paper. The model can be loaded using the `icet` cluster expansion package    using     ```    from icet import ClusterExpansion # requires the icet python package    ce = ClusterExpansion.read("cluster_expansion.ce")    ```        see the icet docs for how to manipulate this object: https://icet.materialsmodeling.org/ - `raw_data` contains the data used to fit the model. The calculation data    contains the raw vasp calculations in tar.gz files, and each training    generation has an associated `.json` files. The files contain Pymatgen    ComputedStructureEntry objects. Probably the easiest way to load these     into a python script is     ```    from monty serialization import loadfn # requires the monty package        training_data = loadfn("calculation_data.json")    ``` - element references contains VASP calculations (stored as above) for    the elemental reference calculations used to determine the formation   energies of the training structures

opencc-by-4.0Jun 2021View details →

MPIData: Increased Dynamic Range

This data repository contains magnetic particle imaging data. The files are stored in the <a href="https://arxiv.org/pdf/1602.06072.pdf">MDF file format</a> and the folder structure is organized as an <a href="https://github.com/MagneticParticleImaging/MPIFiles.jl">MDF store</a>. The data is used in this code example: <a href="https://github.com/IBIResearch/IncreasedDynamicRange">https://github.com/IBIResearch/IncreasedDynamicRange</a>

Figure 25 in A new subspecies of Arctic Apollo - Parnassius arcticus (Eisner, 1968) (Lepidoptera, Papilionidae) from the Arga-Tas Range (North-Eastern Yakutia)

Figure 25. Distributional map of P. arcticus: 1 - upper of Kele river, Verkhoyansky range, Yakutia. The place from where this species was described by Curt Eisner in 1968, by two males; 2 - middle part of Kurbelyakh river, Suntar- Khayata Range, Yakutia. Several observations of the species in small series by lepidopterists from the beginning of the 90s of the last century to the present time; 3 - the vicinity of Mus-Khaya Mountain, Suntar-Khayata Range, Yakutia. Single observation of the species in a large series by Slovak lepidopterists in the 90s of the last century; 4 - Nezhdaninskoe village area, Suntar-Khayata Range, Yakutia; Several observations of the species in small series by Yuri Bakhaev in 2010−2018; 5 - uppers of Khulurin river, Momsky Range, Yakutia. Observation of the species in 2019 by Yuri Bakhaev in a small series, subspecies arbugaevi; 6 - uppers of Tuora-Bygyttakh River, Arga-Tas Range, Yakutia. Observation of the species in 2022 by Yuri Bakhaev in a large series − the subspecies shavlovi, describing here;? - Yablonevyi Pass, Magadan region. Observation of one adult by local entomologist in the 90s of the last century. The fact is in question.

Figure 24 in A new subspecies of Arctic Apollo - Parnassius arcticus (Eisner, 1968) (Lepidoptera, Papilionidae) from the Arga-Tas Range (North-Eastern Yakutia)

Figure 24. Host plants of P. arcticus shavlovi: C. gorodkovii with leaves damaged by the Arctic Apollo larvae (photo by Y. Bakhaev).

Figure 17 in A new subspecies of Arctic Apollo - Parnassius arcticus (Eisner, 1968) (Lepidoptera, Papilionidae) from the Arga-Tas Range (North-Eastern Yakutia)

Figure 17. Male genitalia of P. arcticus shavlovi (paratype): frontal projection, slide #178 (A. Naydenov).

Figures 5−8 in A new subspecies of Arctic Apollo - Parnassius arcticus (Eisner, 1968) (Lepidoptera, Papilionidae) from the Arga-Tas Range (North-Eastern Yakutia)

Figures 5−8. Wing pattern of Parnassius arcticus arbugaevi, Russia, NE Yakutia, Momsky Range, 70 km E of Khonuu village, 1400 m, 22−24.vi.2019, leg. Y. Bakhaev: 5−6, males, Holotype and paratype; 7−8, females, paratypes.

Figures 1−4 in A new subspecies of Arctic Apollo - Parnassius arcticus (Eisner, 1968) (Lepidoptera, Papilionidae) from the Arga-Tas Range (North-Eastern Yakutia)

Figures 1−4. Wing pattern of Parnassius arcticus arcticus, Russia, Yakutia, Suntar-Khayata Range, Khandyga– Magadan rd., Sukhaya riv., h=1400 m, 10-20.vi.1991, leg. B. Khramov: 1−2 − males; 3−4 – females.

Figures 13−16 in A new subspecies of Arctic Apollo - Parnassius arcticus (Eisner, 1968) (Lepidoptera, Papilionidae) from the Arga-Tas Range (North-Eastern Yakutia)

Figures 13−16. Wing pattern of females of Parnassius arcticus shavlovi, Russia, North-Eastern Yakutia, Verkhnekolymsky District, Arga-Tas Range, uppers of Tuora-Bygyttakh river, H 1100−1300 m, 20−28.vi.2022, leg. Yu. Bakhaev: 13−16. Paratypes.

Figures 9−12 in A new subspecies of Arctic Apollo - Parnassius arcticus (Eisner, 1968) (Lepidoptera, Papilionidae) from the Arga-Tas Range (North-Eastern Yakutia)

Figures 9−12. Wing pattern of males of Parnassius arcticus shavlovi, Russia, North-Eastern Yakutia, Verkhnekolymsky District, Arga-Tas Range, uppers of Tuora-Bygyttakh river, H 1100−1300 m, 20−28.vi.2022, leg. Yu. Bakhaev: 9. Holotype, 10−12. Paratypes.

opencc-by-4.0Jun 2023View details →

Data for "Global Precipitation Correction Across a Range of Climates Using CycleGAN"

# Data for "Global Precipitation Correction Across a Range of Climates Using CycleGAN" This repository contains the data used in the paper "Global Precipitation Correction Across a Range of Climates Using CycleGAN" by J. McGibbon et al. (2023, *in review*). `train_val` contains the model outputs for the training and validation sets used in the paper. Model spinup data is not included. The C384 runs are stored as a single series along a concatenated time axes. All C384 data has been coarsened to C384 resolution. `ramping_data` contains the model outputs from the 4-year, 3-month ramping simulation, including spinup data. `predicted` is included for convenience, and contains the model outputs from the "best" model, as was used to create figures shown in the paper. This model output was created from the CycleGAN using the validation dataset (stored in `train_val`) as input, and years 2 and 3 of the ramping simulation in `ramping_data` (following the 3-month spinup period). Ramping predictions are stored as separate datasets for the C48 (backwards) prediction and the C384 prediction. Validation data is stored alongside its respective target data in a single netCDF file, labelled "processed-agg". These filenames are intentionally left unchanged so that they correspond with the names of files used in the `process_combined_aggregate.py` script in `projects/cyclegan` of the code DOI for this paper, which was used to create its figures.

opencc-zeroJun 2023View details →

Blood variation implicates respiratory limits on elevational ranges of Andean birds

The extent to which species ranges reflect intrinsic physiological tolerances is a major, unsolved question in evolutionary ecology. To date, consensus has been hindered by the limited tractability of experimental approaches across most of the tree of life. Here, we apply a macrophysiological approach to understand how hematological traits related to oxygen transport shape elevational ranges in a tropical biodiversity hotspot. Along Andean elevational gradients, we measured traits that affect blood oxygen-carrying capacity—total and cellular hemoglobin concentration and hematocrit—for 2,355 individuals of 136 bird species. We used these data to evaluate the influence of hematological traits on elevational ranges. First, we asked whether the sensitivity of hematological traits to elevation is predictive of elevational range breadth. Second, we asked whether variance in hematological traits changed as a function of distance to the nearest elevational range limit. We found that the correlation between hematological sensitivity and elevational range breadth was slightly positive, consistent with a facilitative role for sensitivity in elevational range expansion. We further found reduced local variation in hematological traits near elevational range limits and at high elevations, patterns consistent with intensified natural selection, reduced effective population size, or compensatory changes in other cardiorespiratory traits. Our findings suggest that constraints on hematological sensitivity and local genetic adaptation to oxygen availability promote the evolution of the narrow elevational ranges that underpin tropical montane biodiversity.

opencc-zeroJun 2023View details →

Data and code for: The welfare problems of wide-ranging Carnivora reflect naturally itinerant lifestyles

Carnivora with naturally small annual home ranges can adjust well to the evolutionarily new environment of captivity, but wider-ranging species are vulnerable to stress. To investigate why, we identified eight correlates of home range size (reflecting energetic needs, movement, intra-specific interactions, and itinerant lifestyles). We systematically assessed whether these correlates predict welfare better than range size itself, using data on captive juvenile mortality (from 13,518 individuals across 42 species) and stereotypic route-tracing (456 individuals, 27 species). Rather than large ranges per se, itinerant lifestyles (quantified via ratios of daily to annual travel distances in nature) were found to confer risk, predicting greater captive juvenile losses and stereotypic time-budgets. This result advances our understanding of the evolutionary basis for welfare problems in captive Carnivora, helping to explain why naturally sedentary species (e.g. American mink) may breed even in intensive farm conditions, while others (e.g. polar bears, giant pandas) can struggle even in modern zoos/breeding centres. Naturally itinerant lifestyles involve decision-making and strategic shifts to new locations, suggesting that supplying more novelty, cognitive challenge and/or opportunities for control will be effective ways to meet these animals' motivational needs in captivity. Such findings could therefore assist with both collection planning and enclosure design.

opencc-by-4.0Dec 2023View details →

Fig. 4 in Confirmation Of The Presence Of The Dolichophis Caspius (Serpentes, Colubridae) In Vinnytsia Region - The Westernmost Locality Of The Species In Ukraine Near Its Northern Species Range

Fig. 4. The distribution of D. caspius in south-west of Ukraine (white circles — observations before 1922, green circles — observations after 1922, yellow diamonds — observations in Vinnytsia Region, blue quadrats — northernmost localities in Moldova). Numbered north-west border localities in Ukraine and Moldova: 1 — Cosăuţi, 2 — Yampil, 3 — Porohy, 4 — Velyka Kisnytsia, 5 — Doibani, 6 — Podilsk (after: Lozan et al.,1998; Dotsenko, 2003; Dotsenko & Radchenko, 2005; Bezman-Moseyko, 2008; Biliakov & Taraschuk, 2008; Roman et al., 2008; Nekrasova, 2013; Reminnyi & Matviichuk, 2018; Kharchenko et al., 2021; Oskyrko & Jablonski, 2021; Vasyliuk et al., 2022; UkrBIN, 2017; L. Moroz and N. Khomytovska observations; our data).