The Squirrel Census (https://www.thesquirrelcensus.com/) is a multimedia science, design, and storytelling project focusing on the Eastern gray (Sciurus carolinensis). They count squirrels and present their findings to the public. This table contains squirrel data for each of the 3,023 sightings, including location coordinates, age, primary and secondary fur color, elevation, activities, communications, and interactions between squirrels and with humans.

Recent and historical records of red and grey squirrels submitted to the Scottish Squirrel Database, an ongoing system of monitoring squirrels throughout Scotland currently administered by the Scottish Wildlife Trust. The dataset brings together historical records from the Scottish Squirrel Survey, data generated by the Saving Scotland's Red Squirrels project (including web recording forms), and recent and historical records submitted to the database by squirrel groups, local record centres and other organisations. The dataset is updated annually. 

Data underlying geometric morphometric analysis of red squirrels (Sciurus vulgaris) from Great Britain collected between 1948 and 2020. All specimens housed at National Museums Scotland, Edinburgh. Accession numbers in file names. All data collected by by Kim Chandler between 2021 and 2022. 161 crania were scanned in 3D with an Artec Space Spider structured light scanner (Artec3D, Luxembourg) and saved as STL files. 388 mandibles were photographed in 2D with a Nikon 3200 DSLR camera (Nikon Corporation, Tokyo).Landmarks and semi-landmarks were collected from the crania in 3D using Avizo Lite v9.2 (Thermo Fisher Scientific, Waltham, MA), and from the mandibles in 2D using TPSdig2 (Rohlf, 2015). Geometric morphometric analyses were carried out with the Arothron package in the R statistical environment.

The data was collected from the English Wikipedia (December 2018). These datasets represent page-page networks on specific topics (chameleons, crocodiles and squirrels). Nodes represent articles and edges are mutual links between them. The edges csv files contain the edges - nodes are indexed from 0. The features json files contain the features of articles - each key is a page id, and node features are given as lists. The presence of a feature in the feature list means that an informative noun appeared in the text of the Wikipedia article. The target csv contains the node identifiers and the average monthly traffic between October 2017 and November 2018 for each page. For each page-page network we listed the number of nodes an edges with some other descriptive statistics.

Analysis of ‘2018 Central Park Squirrel Census - Stories’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e6f11412-9ecd-429d-add1-8af62b58f235 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

The Squirrel Census (https://www.thesquirrelcensus.com/) is a multimedia science, design, and storytelling project focusing on the Eastern gray (Sciurus carolinensis). They count squirrels and present their findings to the public.

This table contains stories, observations, and notes written on tally sheets by Squirrel Sighters during the Census. Individual stories have been tagged with common story themes, such as “squirrel experience,” “park experience,” “dogs,” “other animals,” “accidental poems,” and “squirrels acting odd.”

--- Original source retains full ownership of the source dataset ---

description: A reprint of an article from the Journal of Wildlife Management entitled "Estimating Squirrel Abundance from Live Trapping Data" by Nixon, Edwards and Eberhardt. The material contained in this reprint may be useful in carrying out the proposed wildlife management study on the Delmarva Peninsula Fox Squirrel. Estimates of squirrel (Sciuris carolinersis and S. niger) abundance were derived from several methods of population estimation applied to data obtained by livetrapping squirrels on the Waterloo Wildlife Experiment Station in southeastern Ohio, l 962 and 1963. The 'frequency of capture of marked squirrels suggests that the probability of capture is not the same for all squirrels; as a result, a trapped sample typically contains a disproportionately high number of recaptures. Thus, the multiple census methods of Schnabel and of Schumacher produced estimates lower than the number of animals considered to comprise the population. Frequency of capture approximated the geometric distribution. The simplified equation for maximum likelihood estimation (MLE) for the geometric distribution, presented in 1967 by Edwards and Eberhardt, appeared useful for estimating squirrel abundance from livetrapping data, although estimates tended to be somewhat high. The intercept of a line fitted to a logarithm plot of data on the frequency of capture, using linear regression techniques, gave what appeared to be adequate approximations of the numbers of squirrels in the zero (uncaptured) class. Although estimates derived from M 1 .F. for the geometric distribution and from linear regression are based on assumption: not strictly fulfilled by the data, these methods should prove useful until better techniques are developed. MLE for the Poisson distribution appeared to underestimate the zero class. Similarities in results of evaluations of techniques of population estimation for squirrels and rabbits suggest that further research on population estimation may provide findings applicable to a variety of species.; abstract: A reprint of an article from the Journal of Wildlife Management entitled "Estimating Squirrel Abundance from Live Trapping Data" by Nixon, Edwards and Eberhardt. The material contained in this reprint may be useful in carrying out the proposed wildlife management study on the Delmarva Peninsula Fox Squirrel. Estimates of squirrel (Sciuris carolinersis and S. niger) abundance were derived from several methods of population estimation applied to data obtained by livetrapping squirrels on the Waterloo Wildlife Experiment Station in southeastern Ohio, l 962 and 1963. The 'frequency of capture of marked squirrels suggests that the probability of capture is not the same for all squirrels; as a result, a trapped sample typically contains a disproportionately high number of recaptures. Thus, the multiple census methods of Schnabel and of Schumacher produced estimates lower than the number of animals considered to comprise the population. Frequency of capture approximated the geometric distribution. The simplified equation for maximum likelihood estimation (MLE) for the geometric distribution, presented in 1967 by Edwards and Eberhardt, appeared useful for estimating squirrel abundance from livetrapping data, although estimates tended to be somewhat high. The intercept of a line fitted to a logarithm plot of data on the frequency of capture, using linear regression techniques, gave what appeared to be adequate approximations of the numbers of squirrels in the zero (uncaptured) class. Although estimates derived from M 1 .F. for the geometric distribution and from linear regression are based on assumption: not strictly fulfilled by the data, these methods should prove useful until better techniques are developed. MLE for the Poisson distribution appeared to underestimate the zero class. Similarities in results of evaluations of techniques of population estimation for squirrels and rabbits suggest that further research on population estimation may provide findings applicable to a variety of species.

The Squirrel Census (https://www.thesquirrelcensus.com/) is a multimedia science, design, and storytelling project focusing on the Eastern gray (Sciurus carolinensis). They count squirrels and present their findings to the public. This table contains squirrel data for each of the 3,023 sightings, including location coordinates, age, primary and secondary fur color, elevation, activities, communications, and interactions between squirrels and with humans.

Effective wildlife population management requires an understanding of the abundance of the target species. In the UK, the increase in numbers and range of the non-native invasive grey squirrel Sciurus carolinensis poses a substantial threat to the existence of the native red squirrel S. vulgaris, to tree health, and to the forestry industry. Reducing the number of grey squirrels is crucial to mitigate their impacts. Camera traps are increasingly used to estimate animal abundance, and methods have been developed that do not require the identification of individual animals. Most of these methods have been focussed on medium to large mammal species with large range sizes and may be unsuitable for measuring local abundances of smaller mammals that have variable detection rates and hard-to-measure movement behaviour. The aim of this study was to develop a practical and cost-effective method, based on a camera trap index, that could be used by practitioners to estimate target densities of grey squirrels in woodlands to provide guidance on the numbers of traps or contraceptive feeders required for local grey squirrel control. Camera traps were deployed in ten independent woods of between 6 and 28 ha in size. An index, calculated from the number of grey squirrel photographs recorded per camera per day had a strong linear relationship (R2 = 0.90) with the densities of squirrels removed in trap and dispatch operations. From different time filters tested, a 5 minute filter was applied, where photographs of squirrels recorded on the same camera within 5 minutes of a previous photograph were not counted. There were no significant differences between the number of squirrel photographs per camera recorded by three different models of camera, increasing the method's practical application. This study demonstrated that a camera index could be used to inform the number of feeders or traps required for grey squirrel management through culling or contraception. Results could be obtained within six days without requiring expensive equipment or a high level of technical input. This method can easily be adapted to other rodent or small mammal species, making it widely applicable to other wildlife management interventions. Methods Study sites The study was conducted in 10 mature woods at the same time of year, between mid-June and mid-July, from 2018 to 2021 (Table 1). Woods were located in two regions of the UK; eight in Yorkshire, England (54°N, 0°W) and two in Denbighshire, Wales (53°N, -3°W). Woods were between 6 ha and 28 ha in area and consisted of either broadleaf or a mix of broadleaf and conifer trees. The area of each wood was measured from a satellite base map using a measure tool (Google My Maps 2018 to 2021). During the study, each wood was sampled once. To ensure independence, woods sampled within consecutive years were not directly connected to each other via wooded corridors or hedgerows and were located at least 600 metres apart. The first seven woods, sampled in 2018 and 2019, were discrete areas of woodland with little connectivity to other woodland areas. The last three woods sampled were highly connected to other woodland areas. Camera deployment At each wood, camera traps (Reconyx™ HC500 or HS2X) were deployed at a density of 1/ha. Camera placement in the field was guided by a 1-ha grid generated in ArcGIS (version 10.7.1) overlayed onto a satellite map using the ArcGIS Collector mobile phone application and was adjusted according to accessibility; for example, steep slopes or thick vegetation were avoided (Figure 1a). Cameras were fixed to trees at approximately 1 meter above the ground and with the lens angled between horizontal and 45° below horizontal (Figure 1 b). A laser pen or 1-meter wooden pole, placed parallel to the base of the camera, was used to position a pile of bait at the centre of the camera field of view, between 1 and 2 meters away from the camera lens. The bait pile consisted of approximately 1.5 kg of 50:50 whole maize and peanuts. The cameras were set to take one photograph per trigger and the passive infrared sensor to high sensitivity. Cameras were deployed for 3–6 days and the bait in front of each camera was checked every 1–3 days (guided by a prior assessment of potential bait uptake by non-target species) and replenished, if required. At the end of each deployment, the cameras were removed and all the photographs containing squirrels were digitally tagged using the Reconyx MapView Professional™ software. For the first five woods, photographs were also tagged with the number of squirrels present in each photograph. The resulting data were quality checked by a second observer re-analysing a sub-sample of the photographs to ensure there was no observer bias in the records. The final photographs taken by each camera in each wood were checked for the amount of bait remaining, as this is likely to affect squirrel activity and the numb Camera index design and selection Four camera indices were considered as candidates for estimating grey squirrel densities. All indices were based on the number of squirrel photographs per number of working cameras per trial day and were designed to be practical, cost-effective and representative of squirrel activity. Trial days consisted of consecutive 24 hours. The differences between indices concerned the time the first trial day began and which trial days were used for the photograph counts. Index 1 used all squirrel photographs recorded during consecutive 24 hours from the time the last camera was deployed in each wood. Index 2 used all squirrel photographs recorded during consecutive 24 hours, from 24 hours after the last camera was deployed; this was to allow the squirrels time to find the bait piles before the assessment began. Index 3 used all squirrel photographs recorded within consecutive 24 hours, from 24:00 on the day the cameras were deployed. Index 4 used all squirrel photographs from the 24 hours that recorded the maximum number of squirrel photographs from each consecutive 24 hours starting from when the last camera was deployed; this was to provide the maximum level of activity. For all four indices, time filters of 0.5, 1, 2, 3, 4, 5, 10, 20 and 30 minutes were applied, where any photographs that were recorded within the specified interval after the previous photograph were excluded from the photograph counts. The application of a time filter was used to moderate inflated counts caused by individuals that remain in front of a camera for extended periods of time. This is especially applicable at bait piles, where some individuals may feed for longer than others. Linear regressions were used to test whether the values calculated for each index could be used to predict the density of squirrels trapped and removed in each wood. The coefficient of determination (R2) was calculated as a measure of fit and the statistical significance of the model with the greatest R2 was assessed using an F-test. Data normality was confirmed using a Jarque-Bera test and through plots of the residuals. To make the data processing methods more widely accessible to practitioners, all data analysis was conducted using Microsoft Excel®. Photograph data were not analysed, and the number of cameras adjusted accordingly for days when a camera ceased to work due to insufficient battery power or faults, when the bait had been completely removed, or when the camera was not focussed on any part of the bait pile, due to set up error or if it was subsequently knocked out of position by a person or an animal.

The Squirrel Census (https://www.thesquirrelcensus.com/) is a multimedia science, design, and storytelling project focusing on the Eastern gray (Sciurus carolinensis). They count squirrels and present their findings to the public.

This table contains stories, observations, and notes written on tally sheets by Squirrel Sighters during the Census. Individual stories have been tagged with common story themes, such as “squirrel experience,” “park experience,” “dogs,” “other animals,” “accidental poems,” and “squirrels acting odd.”

Experiment 1 - Launch-point decision. All trials were recorded with two Phantom V10 high speed cameras (Vision Research Inc) at 200 frames per second using 50mm lenses and Phantom Camera Control 1.3 software. One camera was placed such that it had a lateral view of squirrels to record their movements in the sagittal plane, and bisected the distance jumped by the squirrel during tests. It was also level with the jumping platform and framed such that only the overhanging beam and the landing perch were in frame. The second camera was placed to record the squirrels’ movements in the coronal plane. Twelve squirrels were recorded in 96 leaping trials. The number of trials per individual was 23, 27, 3, 19, 4, 4, 2, 1, 2, 4, 2, and 5.

The data sheet contains metadata and analysis for each trial. DataSheetExperiment1.csv DataSheetExperiment1.xlsx

Experiment1/AnalysisScripts The primary analysis script is launch_point_decisions.m. This MATLAB script uses the data in launch_points.xlsx to analy...

Invasive species pose a serious threat to native species. In Europe, invasive grey squirrels (Sciurus carolinensis) have replaced native red squirrels (Sciurus vulgaris) in locations across Britain, Ireland and Italy. The European pine marten (Martes martes) can reverse the replacement of red squirrels by grey squirrels, but the underlying mechanism of how pine martens suppress grey squirrels is little understood. Research suggests the reversal process is driven by direct predation, but why the native red squirrel may be less susceptible than the invasive grey squirrel to predation by a commonly shared native predator, is unknown. A behavioural difference may exist with the native sciurid being more effective at avoiding predation by the pine marten with which they have a shared evolutionary history. In mammals, olfactory cues are used by prey species to avoid predators. To test whether anti-predator responses differ between the native red squirrel and the invasive grey squirrel, we exposed both species to scent cues of a shared native predator and quantified the responses of the two squirrel species. Red squirrels responded to pine marten scent by avoiding the feeder, increasing their vigilance and decreasing their feeding activity. By contrast, grey squirrels did not show any anti-predator behaviours in response to the scent of pine marten. Thus, differences in behavioural responses to a shared native predator may assist in explaining differing outcomes of species interactions between native and invasive prey species depending on the presence, abundance and exposure to native predators.

This dataset provides information about the number of properties, residents, and average property values for Squirrels Run cross streets in West Greenwich, RI.

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

Elevational gradients in boreal forest songbird assemblages have received limited attention but may have important conservation implications in the face of climate-change induced habitat alteration and shifts in predator communities. Our objectives were (1) to examine the role that elevation plays in the distribution of individual species, (2) to identify bird species for which occupancy rate was correlated with squirrel probability of occurrence, and (3) to investigate the influence of elevation and red squirrel occurrence on the species richness of different nesting guilds. We completed 1,960 point count surveys for birds and red squirrels over two years across a 257 km2 study area in western Newfoundland, Canada, that spanned southern boreal to northern boreal bioclimatic zones (75-610 m elevation).

Records presence and absence of red and grey squirrels in Wales. The collation was created to give a picture of squirrels distributions in Wales and to collect all relevant data in one place 1951 to 2006. The majority of the data is fully validated and verified.

Two sample datasets created for training purposes from The Squirrel Census https://www.thesquirrelcensus.com/ hosted by NYC OpenData 2018 Central Park Squirrel Census - Squirrel Data | NYC Open Data, no reuse license specified.

description: The objective of this study was to provide important information about genetic variation in populations of the Delmarva Fox Squirrel in the context of a more general (and hence more informative) survey of electrophoretic variation in other populations of fox squirrels. This report compares genetic variation within and among a total of 19 populations of fox squirrels using data from horizontal starch-gel electrophoresis. The focus was populations of Delmarva fox squirrels from the Eastern Shore of Maryland and Virginia (Blackwater National Wildlife Refuge and Chincoteague National Wildlife Refuge) as well as other populations of eastern fox squirrels from Maryland, Virginia, and Georgia.; abstract: The objective of this study was to provide important information about genetic variation in populations of the Delmarva Fox Squirrel in the context of a more general (and hence more informative) survey of electrophoretic variation in other populations of fox squirrels. This report compares genetic variation within and among a total of 19 populations of fox squirrels using data from horizontal starch-gel electrophoresis. The focus was populations of Delmarva fox squirrels from the Eastern Shore of Maryland and Virginia (Blackwater National Wildlife Refuge and Chincoteague National Wildlife Refuge) as well as other populations of eastern fox squirrels from Maryland, Virginia, and Georgia.

The recovery plan for squirrel on Ohio River Islands discusses the current status of the species, habitat requirements and limiting factors, recovery objectives and criteria, actions required for species recovery, the cost of recovery, and the expected date for recovery objectives to be met. The purpose of this study was to intensively monitor a group of translocated Delmarva fox squirrels to determine if they remained in the vicinity of a release site considered suitable using Dueser et al.'s (1988) modified description of occupied habitat. Our objectives were to determine survival of translocated fox squirrels, evaluate movements immediately following midspring and midautumn releases and evaluate the influence of forested habitat types on these movements and site fidelity. Twenty wild-trapped Delmarva fox squirrels ( Sciurus niger cinereus) were translocated from core population areas to a release site within their former range in Maryland. Squirrels were equipped with radio-collars and released during midspring and midautumn and monitored at least 90 days postrelease. Nine known deaths occurred during the study, five within the 1st 35 days. All translocated squirrels remained on the release site.

Characteristic flying squirrel vocalizationsA set of 4 different high frequency vocalizations made by southern flying squirrels, stored in a zip archive as wav files. Type 1 vocalizations are broadband bursts; Type 2 vocalizations are frequency modulated, varying from about 27 to about 19 kHz, and contain higher frequency harmonics; Type 3 vocalizations are pure ultrasound exceeding 50 kHz; and Type 4 vocalizations are frequency modulated between about 51 kHz and 28 kHz. Types 1-3 were recorded from captive squirrels in a sound lab at McMaster University, and Type 4 was recorded in the field at Trent University's Oliver Research Centre near Bobcaygeon, Ontario.Calls.zip

Project undertaken to analyse the use of camera traps in determining population abundance of red squirrel in different habitat types on Anglesey. Two sites were used in this survey; Pentraeth and Newborough, The data contains trap locations identified by What3 words, and includes details of habitat types and numbers of squirrels caught.