Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
187
datasets available to search
ShareScore release 0.7.1
Dataset results
187 results for “range invasion”
Contrasting plant adaptation strategies to latitude in the native and invasive range of Spartina alterniflora: geographic survey (2014) and Common garden (2015-2017)
We examined trait differences and evolution across geographic clines among continents of the intertidal grass Spartina alterniflora within its invasive and native ranges. Between September and November 2014, we sampled vegetative and reproductive traits in the field at 20 sites over 20° latitude in China (invasive range) and 28 sites over 17° latitude in the US (native range). We grew both Chinese and US plants in a greenhouse common garden for three years (2015 - 2017) to determine if differences in performance of S. alterniflora between the introduced and native ranges were due to genetic differences or differences in abiotic conditions.
Data from: Species distribution models of the Spotted Wing Drosophila (Drosophila suzukii, Diptera: Drosophilidae) in its native and invasive range reveal an ecological niche shift
<p>The Spotted Wing Drosophila (<em>Drosophila</em> <em>suzukii</em>) is native to Southeast Asia. Since its first detection in 2008 in Europe and North America, it has been a pest to the fruit production industry as it feeds and oviposits on ripening fruit. Here we aim to model the potential geographical distribution of <em>D. suzukii</em>. We performed an extensive literature review to map the current records. In total, 517 documented occurrences (96 native and 421 invasive) were identified spanning 52 countries. Next, we constructed three species distribution models (SDMs) based on occurrence records in: 1) the native range (SDMnative), 2) the invasive range in Europe (SDMEurope) and 3) a global model of all records (SDMglobal). The models aimed to investigate, whether this species will be able to occupy additional ecological niches beyond its native range and expand its current geographic distribution both globally and in Europe. The SDMs were generated using Maximum Entropy algorithms (Maxent) based on present occurrence records and bioclimatic variables (WorldClim). Predictions of habitat suitability vary greatly depending on the origins of occurrence records. According to all models, precipitation and low temperatures were key limiting factors for the distribution of <em>D. suzukii</em>, which suggests that this species requires a humid environment with mild winters in order to establish a permanent population in its invasive range. Several regions in the invasive range, not presently occupied by this species, were predicted highly suitable, especially in northern Europe, suggesting that <em>D. suzukii</em> is not occupying its full fundamental niche yet. Synthesis and applications. Based on these models of potential geographic distribution of the Spotted Wing Drosophila (<em>Drosophila</em> <em>suzukii</em>), we show a shift in the ecological niche in <em>D. suzukii</em> populations, emphasizing the importance of using presence and local environmental data. Further investigation regarding new occurrences is recommended to secure optimal pest management. Despite a continuing expansion, many countries still lack proper surveillance schemes, and we urge policymakers to initiate appropriate management programs.</p>
Fig. 3 in Non-invasive detection of Orthohalarachne attenuata (Banks, 1910) and Orthohalarachne diminuata (Doetschman, 1944) (Acari: Halarachnidae) in free-ranging synanthropic South American sea lions Otaria flavescens (Shaw, 1800)
Fig. 3. Non-invasive diagnostic techniques for the detection of Orthohalarachne spp. (A) Sampling of sneezed mucus droplets and mucous nasal discharges from substrates of resting places. (B) Metal clothes hanger bent to form a square frame, covered with clingfilm and mounted on a telescopic rod and (C) sterile petri dishes mounted on a telescopic rod to directly collect sputum samples from the animals.
Fig. 1 in Non-invasive detection of Orthohalarachne attenuata (Banks, 1910) and Orthohalarachne diminuata (Doetschman, 1944) (Acari: Halarachnidae) in free-ranging synanthropic South American sea lions Otaria flavescens (Shaw, 1800)
Fig. 1. Sampling area of Orthohalarachne spp. of South American sea lions in Valdivia, Chile. The exact sampling location is shown in the section (upper-left) as a red-framed black star. Map created with QGIS (https://qgis.org/en/site/) and map data used from OpenStreetMap (openstreetmap.org/copyright). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Non-invasive detection of Orthohalarachne attenuata (Banks, 1910) and Orthohalarachne diminuata (Doetschman, 1944) (Acari: Halarachnidae) in free-ranging synanthropic South American sea lions Otaria flavescens (Shaw, 1800)
Fig. 5. Haplotype (TCS) networks of Orthohalarachne diminuata and Orthohalarachne attenuata based on 16S rDNA sequences. (A) Network analysis based on countries of origin, (B) network analysis based on the pinniped host species (CSL=California sea lion, GFS = Guadalupe fur seal, NFS=Northern fur seal, SAS=South American sea lion). For better visualization a combined network analysis of Or. attenuata and Or. diminuata sequences is shown, however, the calculated distance (48 mutations) between species was clipped. Or. attenuata haplotypes are encircled in black boxes with dashed lines, whereas Or. diminuata haplotypes are encircled in light grey boxes with dashed lines based on estimated MOTUs by ABGD.
Fig. 2 in Non-invasive detection of Orthohalarachne attenuata (Banks, 1910) and Orthohalarachne diminuata (Doetschman, 1944) (Acari: Halarachnidae) in free-ranging synanthropic South American sea lions Otaria flavescens (Shaw, 1800)
Fig. 2. Nasal discharge in three individuals (A, B, C) of the "urban" colony of South American sea lions Otaria flavescens in Valdivia, Chile.
Fig. 4 in Non-invasive detection of Orthohalarachne attenuata (Banks, 1910) and Orthohalarachne diminuata (Doetschman, 1944) (Acari: Halarachnidae) in free-ranging synanthropic South American sea lions Otaria flavescens (Shaw, 1800)
Fig. 4. Larval stages of (A) Orthohalarachne attenuata and (B) Orthohalarachne diminuata showing distinct differences in idiosoma length.
Fig. 1 in Uzbekistan - The Alleged Native Range Of The Invasive Ant Lasius Neglectus (Hymenoptera, Formicidae): Geographical, Ecological And Biological Evidences
Fig. 1. Collection sites of Lasius neglectus in Uzbekistan (1–20) and Tajikistan (21). Note: numbering of collection sites as in table 1; the bold line encircles the assumed native range of L. neglectus.
Geographical distribution of the Mediterranean mussel Mytilus galloprovincialis Lamarck, 1819 in the Sea of Japan. in The extension of the distributional range of an invasive mussel, Mytilus galloprovincialis (Bivalvia: Mytilidae) in the Sea of Japan
Geographical distribution of the Mediterranean mussel Mytilus galloprovincialis Lamarck, 1819 in the Sea of Japan.
Data from: Spring temperature predicts upstream migration timing of invasive Sacramento pikeminnow within its introduced range
<p>Rapid climate change and invasive species introductions threaten ecological communities across the globe. Freshwaters are particularly vulnerable and impacted, especially when these stresses coincide. We document the migration of an invasive piscine predator, the Sacramento pikeminnow (<em>Ptychocheilus grandis</em>), within its introduced range, the South Fork Eel River, California, USA. Snorkel surveys and temperature monitoring in 2015–2019 showed that pikeminnow migrate upstream during spring and early summer, with earlier migration in warmer years. We developed a statistical temperature model to forecast the timing and extent of upstream migration by pikeminnow under varying combinations of discharge and air temperature. Modeled river temperature increased with air temperature and downstream and decreased with discharge. In years with low discharge and high air temperature, we predict pikeminnow will move upstream earlier, increasing spatial and temporal overlap in their summer range with native fishes. Managing conditions that reduce pikeminnow co-occurrence with native fishes (i.e., decreasing river temperature) could increase the amount and duration of predator-free habitat for native fishes. We predict invasive pikeminnow will have larger impacts on invaded riverine communities with global warming and increasing drought severity. Knowledge of life history and phenology, for pikeminnow and other organisms, can guide effective management as conditions change and help to limit adverse impacts of introduced organisms on native species.</p>
Figs. 1 and 2 in Studies of ambrosia beetles (Coleoptera: Curculionidae) in their native ranges help predict invasion impact
Figs. 1 and 2. Machilus (Lauraceae) trees in Huisun Forest, Taiwan, colonized by Xyleborus glabratus and Raffaelea lauricola. 1. Wood pieces excised from an injured but living tree. Staining is a reliable sign of R. lauricola establishment. 2. Injured trees showing symptoms of laurel wilt. Photographs by A. Black.
Fig. 1 in Potential Global Range Expansion Of A New Invasive Species, The Erythrina Gall Wasp, Quadrastichus Erythrinae Kim (Insecta: Hymenoptera: Eulophidae)
Fig. 1. Potential global range of erythrina gall wasp. The gray shadow indicates the potential expanding range, and the white blank areas indicate where infestation is unlikely.
Fig. 3 in Host range of the invasive tomato pest Tuta absoluta Meyrick (Lepidoptera: Gelechiidae) on solanaceous crops and weeds in Tanzania
Fig. 3. Tuta absoluta-related damage in solanaceous crops and weeds in Tanzania. Damage values are averaged across all survey locations (see Table 1). Damage was quantified as the number of T. absoluta mines per leaf (A) and percentage of T. absoluta-damaged fruits (B) in 10 locations within each sampled field. Six to 12 fields were sampled per crop, and 1 to 3 fields per weed species (see Table 2). Tomato, Solanum lycopersicum; eggplant or aubergine, Solanum melongena; African (Afr.) eggplant, Solanum aethiopicum; African (Afr.) nightshades, Solanum nigrum and Solanum americanum; pepper, Capsicum annuum; and 3 weed species, Datura stramonium, Nicandra physalodes, and Solanum incanum.
Fig. 1 in Host range of the invasive tomato pest Tuta absoluta Meyrick (Lepidoptera: Gelechiidae) on solanaceous crops and weeds in Tanzania
Fig. 1. Map of locations surveyed to determine host range and infestation level of Tuta absoluta in solanaceous crops and weeds in 2015. Four districts were targeted, each within the major tomato-producing regions of Tanzania. Within each district, 3 villages (indicated by black circles) were randomly selected for the survey (see Table 1).
Fig. 5 in Range expansion of the invasive Tropical House Gecko, Hemidactylus mabouia (Squamata: Gekkonidae), in South America
Fig. 5. Known distribution of Hemidactylus mabouia in South America. Black circles represent literature data (most previous records) and red circles indicate the location of new records in Peru (2008–2019). Other relatively recent records in Peru (1989– 1999) are from the San Martin and Huánuco regions (yellow triangle and square). Recent records from coastal Ecuador are indicated with yellow diamonds. The color scheme of the map represents the elevation in m asl (see legend on the right).
Fig. 4. A in Range expansion of the invasive Tropical House Gecko, Hemidactylus mabouia (Squamata: Gekkonidae), in South America
Fig. 4. A consensus Bayesian phylogeny based on 474 bp of aligned mitochondrial sequences (16s rRNA gene). Posterior probability values are shown on nodes. The arrow indicates the specimen from central Peru (MUSM 33241; Field Nbr. RvM64–14).
Fig. 1 in Range expansion of the invasive Tropical House Gecko, Hemidactylus mabouia (Squamata: Gekkonidae), in South America
Fig. 1. Dorsal views of head (A), midbody (B), and tail (C) of adult female of Hemidactylus mabouia (MUSM 33241; Field Nbr. RvM64–14) collected in Chanchamayo, Peru. Dorsal views of head (D), midbody (E), and tail (F) of adult female Hemidactylus frenatus (MVZ 73664) collected in Bataan Province, Philippines. Photographs by Rudolf von May.
Fig. 2 in Range expansion of the invasive Tropical House Gecko, Hemidactylus mabouia (Squamata: Gekkonidae), in South America
Fig. 2. Dorsal views of adult male Hemidactylus mabouia (CORBIDI 6276) collected in Loreto (Genaro Herrera, Requena Province), Peru (A). Dorsal view of juvenile Hemidactylus mabouia (CORBIDI 15363) collected in Lima (Surquillo, Lima Province), Peru (B). Lateral view of body (C) and head (D), ventral view of head and body (E), and ventral view of right hand (F) of the same individual (CORBIDI 15363). Photographs by Pablo Venegas (A) and Germán Chávez (B–F).
Fig. 3 in Range expansion of the invasive Tropical House Gecko, Hemidactylus mabouia (Squamata: Gekkonidae), in South America
Fig. 3. Dorsolateral views of adult Hemidactylus frenatus from Aur Island, Malaysia (A), Nam Du Island, Vietnam (B), and Villavicencio, Meta, Colombia (C–D). Photographs by L. Lee Grismer (A–B) and Juan D. Vásquez-Restrepo (C–D).
Interactions data on Iguana iguana and other taxa from its native and invasive range
<p>Biotic interactions data of the Common Green Iguana (<em>Iguana iguana)</em> and other taxa from its native distribution and areas where it has been introduced. This represents an addition to the previously published data set 10.5281/zenodo.6355576</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.