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.
450
datasets available to search
ShareScore release 0.9.0
Dataset results
450 results for “Spatio-temporal”
Data from: Spatio-temporal dynamics of density-dependent dispersal during a population colonisation
Open the record for dataset details and reuse information.
Spatio-temporal analysis of remotely sensed forest loss data in the Cordillera Administrative Region, Philippines
Open the record for dataset details and reuse information.
Data from: Brain states govern the spatio-temporal dynamics of resting-state functional connectivity
Open the record for dataset details and reuse information.
Data from: Elucidating the spatio-temporal dynamics of an emerging wildlife pathogen using approximate Bayesian computation
Open the record for dataset details and reuse information.
Resource pulses influence the spatio-temporal dynamics of a large carnivore population
Open the record for dataset details and reuse information.
Shear wave splitting measurements used in "Spatio-temporal Analysis of Seismic Anisotropy Associated with the Cook Strait and Kaikoura Earthquake Sequences in New Zealand"
<p>Shear wave splitting measurement used in "Spatio-temporal Analysis of Seismic Anisotropy Associated with the Cook Strait and Kaikoura Earthquake Sequences in New Zealand" is included here. This CSV and XLSX file are part of a paper submitted to GJI in April 2020. A detailed description of the column headers can be found in the MFAST manual, in table 4, at http://mfast-package.geo.vuw.ac.nz/mfast_manual_v2.2.pdf</p>
Figure 6 in Spatio-temporal distribution of Acartia (Copepoda: Calanoida) species along a salinity gradient in the Seomjin River estuary, South Korea
Figure 6. Seasonal changes in the abundance-temperature-salinity diagram of (A) Acartia ohtsukai; (B) A. forticrusa. Showing peak abundance in relation to temperature and salinity conditions.
Figure 5 in Spatio-temporal distribution of Acartia (Copepoda: Calanoida) species along a salinity gradient in the Seomjin River estuary, South Korea
Figure 5. Seasonal changes in the abundance-temperature-salinity diagram of (A) Acartia hudsonica; (B) A. omorii. Showing peak abundance in relation to temperature and salinity conditions.
Figure 4 in Spatio-temporal distribution of Acartia (Copepoda: Calanoida) species along a salinity gradient in the Seomjin River estuary, South Korea
Figure 4. Temporal variation in the four Acartia species abundance at all sampling stations. (A). A. hudsonica; (B) A. omorii; (C) A. ohtsukai; (D) A. forticrusa.
Figure 3 in Spatio-temporal distribution of Acartia (Copepoda: Calanoida) species along a salinity gradient in the Seomjin River estuary, South Korea
Figure 3. Monthly spatial and temporal variation in salinity between surface and bottom layers at all sampling stations. Bold line indicating salinity overlaps between sampling stations.
Figure 2 in Spatio-temporal distribution of Acartia (Copepoda: Calanoida) species along a salinity gradient in the Seomjin River estuary, South Korea
Figure 2. Monthly spatial and temporal variation in water temperature and chlorophyll a concentration in the Seomjin River Estuary: (A) temperature (°C); (B) chlorophyll a (µg l–1).
Data from: eDNA metabarcoding reveals a core and secondary diets of the greater horseshoe bat with strong spatio-temporal plasticity
<p><strong>ABSTRACT</strong></p> <p>Dietary plasticity is an important issue for conservation biology as it may be essential for species to cope with environmental changes. However, it still remains scarcely addressed in the literature, potentially because diet studies have long been constrained by methodological limits. The advent of molecular approaches now makes it possible to get a precise picture of diet and its plasticity, even for endangered and elusive species. Here we focused on the greater horseshoe bat (<em>Rhinolophus ferrumequinum</em>) in Western France, where this insectivorous species has been classified as ‘Vulnerable’ on the Regional Red List (2016). We applied an eDNA metabarcoding approach on 1986 fecal samples collected in six maternity colonies at three sampling dates. We described its diet and investigated whether the landscape surrounding colonies and the different phases of the maternity cycle influenced the diversity and the composition of this diet. We showed that <em>R. ferrumequinum</em> feed on a highly more diverse spectrum of prey than expected from previous studies, therefore highlighting how eDNA metabarcoding can help improving diet knowledge of a flying elusive endangered species. Our approach also revealed that <em>R. ferrumequinum</em> diet is composed of two distinct features: the core diet consisting in a few preferred taxa shared by all the colonies (25% of the occurrences) and the secondary diet consisting in numerous rare prey that were highly different between colonies and sampling dates (75% of the occurrences). Energetic needs and constraints associated with the greater horseshoe bat life-cycle, as well as insect phenology and landscape features, strongly influenced the diversity and composition of both the whole and core diets. Further research should now explore the relationships between <em>R. ferrumequinum</em> dietary plasticity and fitness, to better assess the impact of core prey decline on <em>R. ferrumequinum</em> populations viability.</p> <p> </p> <p><strong>FILE DESCRIPTION</strong></p> <p><strong>Information concerning the samples and the positive and negative controls multiplexed in the MiSeq Runs 5 to 9</strong></p> <p>This XLSX file contains the sample IDs, the sample types, the PCR IDs, the PCR replicate numbers, the locality names, the predator species and the fastq file names for each PCR products multiplexed in the five different Illumina MiSeq runs.</p> <p>File name: Sample_informations.xlsx</p> <p> </p> <p><strong>MiSeq raw sequences of the COI minibarcode from the faecal pellets of bats (Run5)</strong></p> <p>This ZIP file contains the Run5 FASTQ files of the paired-end reads (R1: reads 1; R2: reads 2) produced for each faecal pellet in triplicate using the MiSeq platform. The 1271 multiplexed PCR products were indexed using both forward and reverse indices. The list of the 475 multiplexed samples and the 8 positive and 94 negative controls are provided in the following XLSX file titled: Sample_Information.xlsx.</p> <p>Note: the 186 PCR3 replicates from the localities BEA and SGE are available in the ZIP file MiSeq_Reads_COI_Bat_faecal_pellets_Run9.zip</p> <p>File name: MiSeq_Reads_COI_Bat_faecal_pellets_Run5.zip</p> <p> </p> <p><strong>MiSeq raw sequences of the COI minibarcode from the faecal pellets of bats (Run6)</strong></p> <p>This ZIP file contains the Run6 FASTQ files of the paired-end reads (R1: reads 1; R2: reads 2) produced for each faecal pellet in triplicate using the MiSeq platform. The 1440 multiplexed PCR products were indexed using both forward and reverse indices. The list of the 466 multiplexed samples and the 8 positive and 130 negative controls are provided in the following XLSX file titled: Sample_Information.xlsx.</p> <p>File name: MiSeq_Reads_COI_Bat_faecal_pellets_Run6.zip</p> <p> </p> <p><strong>MiSeq raw sequences of the COI minibarcode from the faecal pellets of bats (Run7)</strong></p> <p>This ZIP file contains the Run7 FASTQ files of the paired-end reads (R1: reads 1; R2: reads 2) produced for each faecal pellet in triplicate using the MiSeq platform. The 1464 multiplexed PCR products were indexed using both forward and reverse indices. The list of the 475 multiplexed samples and the 8 positive and 103 negative controls are provided in the following XLSX file titled: Sample_Information.xlsx.</p> <p>File name: MiSeq_Reads_COI_Bat_faecal_pellets_Run7.zip</p> <p> </p> <p><strong>MiSeq raw sequences of the COI minibarcode from the faecal pellets of bats (Run8)</strong></p> <p>This ZIP file contains the Run8 FASTQ files of the paired-end reads (R1: reads 1; R2: reads 2) produced for each faecal pellet in triplicate using the MiSeq platform. The 1464 multiplexed PCR products were indexed using both forward and reverse indices. The list of the 475 multiplexed samples and the 8 positive and 103 negative controls are provided in the following XLSX file titled: Sample_Information.xlsx.</p> <p>File name: MiSeq_Reads_COI_Bat_faecal_pellets_Run8.zip</p> <p> </p> <p><strong>MiSeq raw sequences of the COI minibarcode from the faecal pellets of bats (Run9)</strong></p> <p>This ZIP file contains the Run9 FASTQ files of the paired-end reads (R1: reads 1; R2: reads 2) produced for each faecal pellet in triplicate using the MiSeq platform. The 499 multiplexed PCR products were indexed using both forward and reverse indices. The list of the 281 multiplexed samples (including 29 samples from another project) and the 11 positive and 172 negative controls are provided in the following XLSX file titled: Sample_Information.xlsx.</p> <p>Note: the 372 PCR1 & PCR2 replicates from the localities BEA and SGE are available in the ZIP file MiSeq_Reads_COI_Bat_faecal_pellets_Run5.zip</p> <p>File name: MiSeq_Reads_COI_Bat_faecal_pellets_Run9.zip</p> <p> </p> <p><strong>Raw abundance tables of the COI minibarcode from the faecal pellets of bats before data filtering (Run5 to 9)</strong></p> <p>This ZIP file contains five TXT files showing the number of reads for each of the 17,998 distinct variants (OTUs) and each of the 6138 PCR products of the samples (<em>n</em>=2015) and controls sequenced in the MiSeq Runs 5 to 9 before the data filtering.</p> <p>File name: Raw_COI_Bat_Faecal_Pellets_abundance_Runs5to9_before_filtering.zip</p> <p> </p> <p><strong>Abundance table of the COI minibarcode from the faecal pellets of bats after data filtering (Run5 to 9)</strong></p> <p>This XLSX file contains the number of reads for each of the 7206 distinct variants (OTUs) and each of sample (<em>n</em>=2014) after the data filtering using (1) the thresholds based on the negative and positive controls (Tcc & Tfa) and (2) the validation using the three technical replicates.</p> <p>File name: COI_Bat_Faecal_Pellets_abundance_Runs5to9_after_filtering.xlsx</p> <p> </p> <p><strong>Final abundance table of the COI minibarcode for the prey of <em>Rhinolophus ferrumequinum</em> only (Run5 to 9)</strong></p> <p>This XLSX file contains the number of reads for each <em>Rhinolophus ferrumequinum</em> samples (<em>n</em>=1034) and each of the 679 validated prey taxa (OTUs) after taxonomic affiliations check and redundancy removals.</p> <p>File name: Final_COI_Rhino_Prey_abundance_Run5to9.xlsx</p> <p> </p> <p><strong>Landscape data table used to build the PCA</strong></p> <p>File name: Landscape_variables.xlsx</p>
Data from: Spatio-temporal dynamics of field cricket calling behaviour: implications for female mate search and mate choice
Amount of calling activity (calling effort) is a strong determinant of male mating success in species such as orthopterans and anurans that use acoustic communication in the context of mating behaviour. While many studies in crickets have investigated the determinants of calling effort, patterns of variability in male calling effort in natural choruses remain largely unexplored. Within-individual variability in calling activity across multiple nights of calling can influence female mate search and mate choice strategies. Moreover, calling site fidelity across multiple nights of calling can also affect the female mate sampling strategy. We therefore investigated the spatio-temporal dynamics of acoustic signaling behaviour in a wild population of the field cricket species Plebeiogryllus guttiventris. We first studied the consistency of calling activity by quantifying variation in male calling effort across multiple nights of calling using repeatability analysis. Callers were inconsistent in their calling effort across nights and did not optimize nightly calling effort to increase their total number of nights spent calling. We also estimated calling site fidelity of males across multiple nights by quantifying movement of callers. Callers frequently changed their calling sites across calling nights with substantial displacement but without any significant directionality. Finally, we investigated trade-offs between within-night calling effort and energetically expensive calling song features such as call intensity and chirp rate. Calling effort was not correlated with any of the calling song features, suggesting that energetically expensive song features do not constrain male calling effort. The two key features of signaling behaviour, calling effort and call intensity, which determine the duration and spatial coverage of the sexual signal, are therefore uncorrelated and function independently.
Spatio-temporal variability of tidal-stream energy in north-western Europe
Initial selection of tidal stream energy sites is primarily based on identifying areas with the maximum current speeds. However, optimal design and deployment of turbines requires detailed investigations of the temporal variability of the available resource, focusing on areas with reduced variability, and hence the potential for more continuous energy conversion. These aspects were investigated in some of the most promising sites for tidal array development across the north-western European shelf seas: the Alderney Race, the Fromveur Strait, the Pentland Firth, and the Orkney channels. Particular attention was dedicated to asymmetry between the flood and ebb phases of the tidal cycle (due to the phase relationship between M2 and M4 constituents), and spring-neap variability of the available resource (due to M2 and S2 compound tides). A series of high resolution models were exploited to (i) produce a detailed harmonic database of these three components, and (ii) characterize, using energy resource metrics, temporal variability of the available power density. There was a clear contrast between the Alderney Race, with reduced temporal variability over semi-diurnal and fortnightly time scales, and sites in western Brittany and North Scotland which, due to increased variability, appeared less attractive for optimal energy conversion.
Data from: Grizzly bear response to spatio-temporal variability in human recreational activity.
1. Outdoor recreation on trail networks is a growing form of disturbance for wildlife. However, few studies have examined behavioural responses by large carnivores to motorised and non-motorised recreational activity-- a knowledge gap that has implications for the success of human access management aimed at improving habitat quality for wildlife. 2. We used an integrated step-selection analysis of grizzly bear (Ursus arctos) radiotelemetry data and a spatio-temporal model of motorised and non-motorised human recreational activity to examine the effect of human recreational activity along trails on both habitat selection and movement behaviour of individual bears. Grizzly bears were captured and radiocollared in the west-central Alberta Rocky Mountains and Foothills, and trail cameras were deployed on trails to obtain data on human recreational activity. 3. We found that models including data on recreational activity outperformed trail-proximity models when interactions with movement covariates were included. Responses were highly variable among individuals, and across classes; males, females and females with cubs. 4. Male and solitary female grizzly bears increased avoidance of trails with a high probability of motorised activity, as well as displaying increased movement rates in response to motorised recreation. Females with cubs did not increase avoidance, however they had the largest response with higher movement rates. In contrast, for all classes selection for proximity to trail increased when probability of non-motorised activity was high, and the effect on movement was dampened relative to the motorised response. 5. Synthesis and applications. By combining selection and movement into a unified modelling framework, we show that bears alter selection and movement behaviour in response to trails and recreation, and that such responses are determined by the type of recreational activity. Reduced selection and increased movement in proximity to motorised trails could affect bears' ability to exploit foraging opportunities in these areas. Future access management actions for grizzly bear recovery should consider frequency and type of linear feature use by humans rather than solely relying on thresholds relating to feature densities.
Data from: Spatio-temporal scaling of biodiversity in acoustic tropical bird communities
Automated analysis of acoustic communities is a rapidly emerging approach for the characterization and monitoring of biodiversity. To evaluate its utility, we should verify that such "bioacoustics" can accurately detect ecological signal in spatiotemporal acoustic data. Targeting the Biological Dynamics of Forest Fragments Project sites in Brazil, we ask: What is the relative contribution of the spatial, temporal and habitat dimension to variation in bird acoustic communities in a previously fragmented tropical rainforest? Does the functional diversity of bird communities scale similarly to space and time as does species diversity, when both are recorded by bioacoustics means? Overall, is the imprint of landscape fragmentation 30 years ago still audible in the present‐day soundscape? We sampled forty‐four sites in secondary forest and 107 sites in old‐growth forest, resulting in 11,000 hours of audio recordings. We detected 60 bird species with satisfactory precision and recovered a linear log‐log relation between sampling time and species diversity. Sites in primary forest host more species than sites in secondary forest, but the difference decreased with sampling time, as the slope was slightly higher in secondary than primary forests. Functional diversity, as exposed by vocalizing birds, accumulates faster than does species diversity. The similarity among local communities decreases with distance in both time and space, but stability in time is remarkably high: two acoustic samples from the same site one year (or more) apart prove more similar than two samples taken at the same time but from sites situated just a few hundred meters apart. These findings suggest that habitat modification can be heard as a long‐lasting imprint on the soundscape of regenerating habitats and identify Soundscape–Area and Soundscape–Time Relations as a promising tool for biodiversity research, applied biomonitoring and restoration ecology.
Data from: Assessing spatio-temporal priorities for species' recovery in broad-scale dynamic landscapes
1. As threats to biodiversity from environmental change increase, assessing priorities for mitigation action becomes increasingly important. However, there have been few attempts to schedule actions across broad spatial extents that explicitly account for dynamic ecological processes and threats. 2. We combined a dynamic occupancy model with a decision analysis framework to spatially allocate multiple recovery actions to maximize species' probability of occupancy under threats posed by climate and land-use change. We used the koala Phascolarctos cinereus across the Australian state of New South Wales (810 000 km2) to illustrate this approach. We considered four actions implemented on a 10 × 10 km2 grid: reduce domestic dog attacks through dog control, reduce vehicle collisions through fencing highways, protect habitat through land acquisitions and restore Eucalyptus forest. We used the occupancy model to predict ecological responses to recovery actions and simulated annealing to identify spatio-temporal priorities for each action. We contrasted the results against priorities generated using a traditional static distribution model. 3. To maximize the probability of koala occupancy in 50 years' time, with an annual budget of up to AU$20 million, investment priorities were located in the eastern part of koala's range, focusing on dog control with some investment in habitat protection and restoration. With higher budgets, investment priorities shifted towards habitat protection and restoration in the western part of the range. However, priorities based on the static distribution model, which had a lower predictive accuracy than the dynamic model, were different. Regardless of budget, priorities derived from the static model were predominantly located in the western part of koala's range, focusing on highway fencing with some investment in dog control. 4. Synthesis and applications. Our approach for integrating spatio-temporal dynamics into conservation prioritization across broad spatial extents provides a significant advance on existing approaches based on static distribution models. The finding that the inferior static model produced different priorities to the dynamic model cautions against the use of static models for conservation planning in dynamic landscapes. Additionally, the substantial changes in priorities with budget indicate that conservation planning under dynamic landscape and climate change must carefully consider priority actions and locations relative to the conservation resources available.
Spatio-temporal impact of land use changes on nitrogen emissions in the Guangdong-Hong Kong-Macao Greater Bay Area
Open the record for dataset details and reuse information.
Data from: Reconstructing biological invasions using public surveys: a new approach to retrospectively assess spatio-temporal changes in invasive spread
[No abstract entered]
Quantification of spatio-temporal variation of aquaculture area in Satkhira, Bangladesh: Using Geospatial and social survey data
<p>This data shows the NDWI and MNDWI processed data of satkhira</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.