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.
66
datasets available to search
ShareScore release 0.9.0
Dataset results
66 results for “Survey Method”
Figure 1 in SURVEYING NEOTROPICAL SOCIAL WASPS. AN EVALUATION OF METHODS IN THE "FERREIRA PENNA" RESEARCH STATION (ECFPn), IN CAXIUANÃ, PA, BRAZIL (HYM., VESPIDAE, POLISTINAE
Figure 1. Map showing localization of the ECFPn, in Caxiuanã, west of Belém and Marajó Island, in Pará state.
Figure 5 in SURVEYING NEOTROPICAL SOCIAL WASPS. AN EVALUATION OF METHODS IN THE "FERREIRA PENNA" RESEARCH STATION (ECFPn), IN CAXIUANÃ, PA, BRAZIL (HYM., VESPIDAE, POLISTINAE
Figure 5. Percentage incidence and richness of polistine genera relative to total samples and species in searches made in the ECFPn, Caxiuanã, PA, Brazil.; A) 22 samples in trails; B) 23 samples by river margins.
Figure 4 in SURVEYING NEOTROPICAL SOCIAL WASPS. AN EVALUATION OF METHODS IN THE "FERREIRA PENNA" RESEARCH STATION (ECFPn), IN CAXIUANÃ, PA, BRAZIL (HYM., VESPIDAE, POLISTINAE
Figure 4. Mean percentage difference in the contributions of the two complementary 5-days trapping periods over the total number of individuals of social wasps captured along 10-days in Two-meter Malaise traps (TMM), in each of the four surveys in the ECFPn, in Caxiuanã, PA, Brazil.
FIGURE 1 in Orchid Bees (Hymenoptera: Apidae) In The Coastal Forests Of Southern Brazil: Diversity, Efficiency Of Sampling Methods And Comparison With Other Atlantic Forest Surveys
FIGURE 1: DCA analysis of the orchid bee assemblages along the Brazilian Atlantic forest (see text for site codes; the two sites from the current study, PR3 and SP3, are shown in gray).
Adaptation and evolution of teaching method for university programming subject to the online learning environment - Student surveys dataset
<p>This dataset contains anonymized survey data of students studying Operating Systems class at the Technical University of Košice in the span of school years 2017/2018 to 2020/2021.</p>
Partnership and Dignity: a Mixed-methods Survey on Supporting and Retaining Uganda's Village Health Teams
ClinicalTrials.gov study NCT02374580. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Comparison of Multi-Round and Real-Time Delphi Survey Methods
ClinicalTrials.gov study NCT04471103. IPD Sharing: NO. Countries: 1. Publications: 2.
Data from: Resampling method for applying density-dependent habitat selection theory to wildlife surveys
Open the record for dataset details and reuse information.
Data from: Monitoring insect pollinators and flower visitation: the effectiveness and feasibility of different survey methods
Open the record for dataset details and reuse information.
Assessing the performance of index calibration survey methods to monitor populations of wide-ranging low-density carnivores
Open the record for dataset details and reuse information.
Data from: Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance
Open the record for dataset details and reuse information.
Quit attempts amongst tobacco users identified in the Tamil Nadu Tobacco Survey of 2015-16: A 3 year follow-up mixed methods study
Open the record for dataset details and reuse information.
Nasopharyngeal swabs vs. saliva sampling for SARS-CoV-2 detection: A cross-sectional survey of acceptability for caregivers and children after experiencing both methods
Open the record for dataset details and reuse information.
Data from: eDNA metabarcoding: a promising method for anuran surveys in highly diverse tropical forests
Open the record for dataset details and reuse information.
Targeted occupant surveys: A novel method to effectively relate occupant feedback with environmental conditions
Open the record for dataset details and reuse information.
Data from: 'True' null allele detection in microsatellite loci: a comparison of methods, assessment of difficulties, and survey of possible improvements
Null alleles are alleles that for various reasons fail to amplify in a PCR assay. The presence of null alleles in microsatellite data is known to bias the genetic parameter estimates. Thus, efficient detection of null alleles is crucial, but the methods available for indirect null allele detection return inconsistent results. Here, our aim was to compare different methods for null allele detection, to explain their respective performance and to provide improvements. We applied several approaches to identify the 'true' null alleles based on the predictions made by five different methods, used either individually or in combination. First, we introduced simulated 'true' null alleles into 240 population data sets and applied the methods to measure their success in detecting the simulated null alleles. The single best-performing method was ML-NullFreq_frequency. Furthermore, we applied different noise reduction approaches to improve the results. For instance, by combining the results of several methods, we obtained more reliable results than using a single one. Rule-based classification was applied to identify population properties linked to the false discovery rate. Rules obtained from the classifier described which population genetic estimates and loci characteristics were linked to the success of each method. We have shown that by simulating 'true' null alleles into a population data set, we may define a null allele frequency threshold, related to a desired true or false discovery rate. Moreover, using such simulated data sets, the expected null allele homozygote frequency may be estimated independently of the equilibrium state of the population.
Congruence of local ecological knowledge (LEK)-based methods and line-transect surveys in estimating wildlife abundance in Amazonian forests
<p>1) Effective estimation of wildlife population abundance is an important component of population monitoring, and ultimately essential for the development of conservation actions. Diurnal line transect surveys are one of the most applied methods for abundance estimations. Local ecological knowledge (LEK) is empirically acquired through the observation of ecological processes by local people. LEK-based methods have only been recognized as valid scientific methods for surveying fauna abundance in the last three decades. However, the agreement between both methods has not been extensively analysed.</p> <p>2) We compared concomitant abundance data for 91 wild species (mammals, birds and tortoises) from diurnal line transects (9,221 km of trails) and a LEK-based method (291 structured interviews) at 18 sites in Central and Western Amazonia. We used biological and socioecological factors to assess the agreements and divergences between abundance indices obtained from both methods.</p> <p>3) We found a significant agreement of population abundance indices for diurnal and game species. This relationship was also positive regardless of species sociality (solitary or social), body size and locomotion mode (terrestrial and arboreal); and of sampled forest type (upland and flooded forests). Conversely, we did not find significant abundance covariances for nocturnal and non-game species. Despite the general agreement between methods, line transects were not effective at surveying many species occurring in the area, with 40.2% and 39.8% of all species being rarely and never detected in at least one of the survey sites. On the other hand, these species were widely reported by local informants to occur at intermediate to high abundances.</p> <p>4) Although LEK-based methods have been long neglected by ecologists, our comparative study demonstrated their effectiveness for estimating vertebrate abundance of a wide diversity of taxa and forest environments. This can be used simultaneously with line transects surveys to calibrate abundance estimates and record species that are rarely sighted during surveys on foot, but that are often observed by local people during their daily extractive activities. Thus, the combination of local and scientific knowledge is a potential tool to improve our knowledge of tropical forest species and foster the development of effective strategies to meet biodiversity conservation goals. --</p>
Supplementary material 2 from: Jakobsberg GO, Mooney WD, Rangel-Sanchez J (2022) Assessment of an inexpensive trap design and survey method for vespine wasps (Hymenoptera, Vespidae, Vespinae). Journal of Hymenoptera Research 89: 171-182. https://doi.org/10.3897/jhr.89.80284
Figure S1
Supplementary material 1 from: Jakobsberg GO, Mooney WD, Rangel-Sanchez J (2022) Assessment of an inexpensive trap design and survey method for vespine wasps (Hymenoptera, Vespidae, Vespinae). Journal of Hymenoptera Research 89: 171-182. https://doi.org/10.3897/jhr.89.80284
Tables S1–S3
Figure 3 from: Jakobsberg GO, Mooney WD, Rangel-Sanchez J (2022) Assessment of an inexpensive trap design and survey method for vespine wasps (Hymenoptera, Vespidae, Vespinae). Journal of Hymenoptera Research 89: 171-182. https://doi.org/10.3897/jhr.89.80284
Figure 3 Average catch at each height of the hanging line traps. Includes the average number of individuals from each of the four species detected.
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.