18 datasets found
  1. N

    2018 Central Park Squirrel Census - Squirrel Data

    • data.cityofnewyork.us
    • datasets.ai
    • +2more
    Updated Oct 13, 2019
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    The Squirrel Census (2019). 2018 Central Park Squirrel Census - Squirrel Data [Dataset]. https://data.cityofnewyork.us/Environment/2018-Central-Park-Squirrel-Census-Squirrel-Data/vfnx-vebw
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    xml, csv, application/rdfxml, tsv, application/rssxml, application/geo+json, kmz, kmlAvailable download formats
    Dataset updated
    Oct 13, 2019
    Dataset authored and provided by
    The Squirrel Census
    Description

    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.

  2. d

    2018 Central Park Squirrel Census - Stories

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Apr 22, 2023
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    data.cityofnewyork.us (2023). 2018 Central Park Squirrel Census - Stories [Dataset]. https://catalog.data.gov/dataset/2018-central-park-squirrel-census-stories
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    Dataset updated
    Apr 22, 2023
    Dataset provided by
    data.cityofnewyork.us
    Description

    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.”

  3. N

    2018 Central Park Squirrel Census - Hectare Grid

    • data.cityofnewyork.us
    • catalog.data.gov
    Updated Dec 4, 2019
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    The Squirrel Census (2019). 2018 Central Park Squirrel Census - Hectare Grid [Dataset]. https://data.cityofnewyork.us/dataset/2018-Central-Park-Squirrel-Census-Hectare-Grid/qad5-y26n
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    csv, application/rssxml, xml, tsv, application/rdfxml, kml, application/geo+json, kmzAvailable download formats
    Dataset updated
    Dec 4, 2019
    Dataset authored and provided by
    The Squirrel Census
    Description

    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 dataset is the hectare grid that was used to divide Central Park for the 2018 Squirrel Census.

  4. N

    2018 Central Park Squirrel Census - Hectare Data

    • data.cityofnewyork.us
    • catalog.data.gov
    application/rdfxml +5
    Updated Oct 15, 2019
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    The Squirrel Census (2019). 2018 Central Park Squirrel Census - Hectare Data [Dataset]. https://data.cityofnewyork.us/Environment/2018-Central-Park-Squirrel-Census-Hectare-Data/ej9h-v6g2
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    application/rdfxml, xml, csv, tsv, json, application/rssxmlAvailable download formats
    Dataset updated
    Oct 15, 2019
    Dataset authored and provided by
    The Squirrel Census
    Description

    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 environmental data related to each of the 350 “countable” hectares of Central Park. Examples include weather, litter, animals sighted, and human density.

  5. A

    ‘2018 Central Park Squirrel Census - Stories’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 26, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘2018 Central Park Squirrel Census - Stories’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-2018-central-park-squirrel-census-stories-5dbe/latest
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    Dataset updated
    Jan 26, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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 ---

  6. f

    New York Squirrel Census 2020-2021: training sample dataset

    • figshare.com
    csv
    Updated Apr 8, 2025
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    Sharron Stapleton (2025). New York Squirrel Census 2020-2021: training sample dataset [Dataset]. http://doi.org/10.6084/m9.figshare.28747574.v1
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    csvAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    figshare
    Authors
    Sharron Stapleton
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New York
    Description

    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.

  7. N

    Cinnamon Squirrels

    • data.cityofnewyork.us
    Updated Oct 18, 2019
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    The Squirrel Census (2019). Cinnamon Squirrels [Dataset]. https://data.cityofnewyork.us/Environment/Cinnamon-Squirrels/gtbd-u6p5
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    csv, application/rssxml, xml, tsv, application/rdfxml, application/geo+json, kmz, kmlAvailable download formats
    Dataset updated
    Oct 18, 2019
    Authors
    The Squirrel Census
    Description

    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.

  8. A

    Delmarva Fox Squirrel Census Report 1977 Blackwater National Wildlife Refuge...

    • data.amerigeoss.org
    • datadiscoverystudio.org
    pdf
    Updated Jul 30, 2019
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    United States[old] (2019). Delmarva Fox Squirrel Census Report 1977 Blackwater National Wildlife Refuge [Dataset]. https://data.amerigeoss.org/es/dataset/f4436d22-352a-46c9-af9d-8feee4134e0f
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    pdfAvailable download formats
    Dataset updated
    Jul 30, 2019
    Dataset provided by
    United States[old]
    Description

    Area time counts of the endangered Delmarva Peninsula Fox Squirrels and concurrently of Eastern Grey Squirrels were conducted in 1977 on several mornings during the period from October 28 to November 21. In the past, a single count each year was taken at each of 50 locations distributed through timbered tracts on the Blackwater National Wildlife Refuge. This year it was decided to get some idea of the variation that would occur between repeated counts taken over a short period at a small number of locations. The idea was that this method would give some indication of the variation between counts that was not dependent on variation in the squirrel populations.

  9. A

    Delmarva Fox Squirrel Study Blackwater National Wildlife Refuge Report #3...

    • data.amerigeoss.org
    pdf
    Updated Jul 29, 2019
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    United States[old] (2019). Delmarva Fox Squirrel Study Blackwater National Wildlife Refuge Report #3 1980 [Dataset]. https://data.amerigeoss.org/id/dataset/delmarva-fox-squirrel-study-blackwater-national-wildlife-refuge-report-3-1980
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    pdfAvailable download formats
    Dataset updated
    Jul 29, 2019
    Dataset provided by
    United States[old]
    Description

    The recovery plan for Demarva Fox Squirrel on Chesapeake Marshlands Complex 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. This study was carried out to determine the Delmarva fox squirrel population in the 52 acre Egypt Road tract, and to increase the scientific knowledge of the life history and habitat preference of the endangered squirrel. The first census in this location was conducted in 1970-71, and the second in 1976. The original objectives of the study were: (a) to accurately determine the existing population of Delmarva fox squirrels on one major type of Blackwater refuge woodland, (b) to gather base data for population comparisons in the timber stand improvement (TSI) area of the block as to an adjacent woodland area, and (c) to evaluate the censusing method of leaf nest counts.

  10. d

    Data from: Estimating Squirrel Abundance From Live trapping Data.

    • datadiscoverystudio.org
    Updated May 19, 2018
    + more versions
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    (2018). Estimating Squirrel Abundance From Live trapping Data. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/156de63d51b748acb3edc26c9f3bebb4/html
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    Dataset updated
    May 19, 2018
    Description

    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.

  11. d

    Delmarva Fox Squirrel Study Blackwater National Wildlife Refuge Report #5...

    • datadiscoverystudio.org
    • data.amerigeoss.org
    Updated May 20, 2018
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    (2018). Delmarva Fox Squirrel Study Blackwater National Wildlife Refuge Report #5 1991. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/cb75c181431844a2ad832e183ccd8c9e/html
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    Dataset updated
    May 20, 2018
    Description

    description: The recovery plan for Demarva Fox Squirrel on Chesapeake Marshlands Complex 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. This study was carried out to determine the Delmarva fox squirrel population in the 52-acre Egypt Road tract, and to increase the scientific knowledge of the life history and habitat preference of the endangered squirrel. This is the fifth census conducted in this woodlot location. Earlier censuses were conducted in 1971, 1976, 1980, 1983. The objectives of this study are as follows: (a) to accurately determine the existing population of Delmarva fox squirrels on one major type of Blackwater refuge woodland, (b) to gather base data for population comparisons in the other woodland types, and (c) to monitor biannually this benchmark population to determine Delmarva fox squirrel population status on the refuge.; abstract: The recovery plan for Demarva Fox Squirrel on Chesapeake Marshlands Complex 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. This study was carried out to determine the Delmarva fox squirrel population in the 52-acre Egypt Road tract, and to increase the scientific knowledge of the life history and habitat preference of the endangered squirrel. This is the fifth census conducted in this woodlot location. Earlier censuses were conducted in 1971, 1976, 1980, 1983. The objectives of this study are as follows: (a) to accurately determine the existing population of Delmarva fox squirrels on one major type of Blackwater refuge woodland, (b) to gather base data for population comparisons in the other woodland types, and (c) to monitor biannually this benchmark population to determine Delmarva fox squirrel population status on the refuge.

  12. A

    Investigations of the Delmarva Peninsula Fox Squirrel 1966

    • data.amerigeoss.org
    • datadiscoverystudio.org
    pdf
    Updated Jul 27, 2019
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    United States[old] (2019). Investigations of the Delmarva Peninsula Fox Squirrel 1966 [Dataset]. https://data.amerigeoss.org/dataset/investigations-of-the-delmarva-peninsula-fox-squirrel-1966
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    pdfAvailable download formats
    Dataset updated
    Jul 27, 2019
    Dataset provided by
    United States[old]
    Description

    The purpose of doing n census study of the Delmarva Peninsula Fox Squirrel is to provide some basis for determining the annual and periodic fluctuation in the population. Without such knowledge the effects of various management efforts cannot be evaluated.

  13. d

    Data from: Predation risk landscape modifies flying and red squirrel nest...

    • datadryad.org
    • data.niaid.nih.gov
    • +2more
    zip
    Updated Mar 15, 2019
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    Tytti Turkia; Erkki Korpimäki; Alexandre Villers; Vesa Selonen (2019). Predation risk landscape modifies flying and red squirrel nest site occupancy independently of habitat amount [Dataset]. http://doi.org/10.5061/dryad.6430mr0
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    zipAvailable download formats
    Dataset updated
    Mar 15, 2019
    Dataset provided by
    Dryad
    Authors
    Tytti Turkia; Erkki Korpimäki; Alexandre Villers; Vesa Selonen
    Time period covered
    2019
    Area covered
    Ostrobothnia, Kauhava, Pohjanmaa, Finland
    Description

    Habitat choice often entails trade-offs between food availability and predation risk. Understanding the distribution of individuals in space thus requires that both habitat characteristics and predation risk are considered simultaneously. Here, we studied the nest box use of two arboreal squirrels who share preferred habitat with their main predators. Nocturnal Ural owls (Strix uralensis) decreased occurrence of night-active flying squirrels (Pteromys volans) and diurnal goshawks (Accipiter gentilis) that of day-active red squirrels (Sciurus vulgaris). Unexpectedly, the amount of preferred habitat had no effect on nest box use, but, surprisingly, both squirrel species seemed to benefit from close proximity to agricultural fields and red squirrels to urban areas. We found no evidence of trade-off between settling in a high-quality habitat and avoiding predators. However, the amount of poor-quality young pine forests was lower in occupied sites where goshawks were present, possibly indica...

  14. d

    Calhoun Lines small mammal trapping transect data from UC Berkeley - Sagehen...

    • dataone.org
    • portal.edirepository.org
    Updated Nov 1, 2019
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    Richard Gard; Michael Yoder-Williams (2019). Calhoun Lines small mammal trapping transect data from UC Berkeley - Sagehen Creek Field Station, CA between 1950 and 1989 [Dataset]. https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fedi%2F392%2F4
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    Dataset updated
    Nov 1, 2019
    Dataset provided by
    Environmental Data Initiative
    Authors
    Richard Gard; Michael Yoder-Williams
    Time period covered
    Sep 25, 1957 - Aug 26, 1989
    Area covered
    Variables measured
    Sex, Bait, Date, Line, AM_PM, Remarks, Species, Trapper, Weather, Weight_g, and 11 more
    Description

    Database contains detailed records from a series of Calhoun Lines established in Sagehen Creek Basin, California. Thirteen lines were established and run, at various intervals, between 1950 and 1989. The database contains vegetation analysis, small mammal trapline data, habitat photos, trapline charts and graphs, aerial photos, and sketches of individual Calhoun lines. This database was created from photocopies of original records. In some cases, data was unreadable or illegible. It cannot be guaranteed that this is a complete record of all Calhoun line data at Sagehen Creek Field Station. Dataset and metadata is available under the Mammals section on the Sagehen data resources page. As part of the Sagehen Forest Project monitoring, this dataset was resampled in summer, 2011 and will be again in summer 2019.

  15. n

    Maternal survival costs in an asocial mammal: Data and analysis

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Apr 29, 2022
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    Lise Aubry (2022). Maternal survival costs in an asocial mammal: Data and analysis [Dataset]. http://doi.org/10.5061/dryad.crjdfn36g
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    zipAvailable download formats
    Dataset updated
    Apr 29, 2022
    Dataset provided by
    Colorado State University
    Authors
    Lise Aubry
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Abstract. Maternal characteristics, social dynamics, and environmental factors can all influence reproduction and survival as well as shape trade-offs that might arise between these components of fitness. Short-lived mammals like the golden-mantled ground squirrel (GMGS; Callospermophilus lateralis) tend to maximize effort towards current reproduction at the expense of survival but may be complicated by other aspects of the species’ life history and environment.. Here, we use 25 years of data (1995-2020) collected from a population of GMGS at the Rocky Mountain Biological Research Laboratory in Gothic, Colorado, to test the effect of several maternal characteristics (e.g., age, experience, timing of litter emergence), social context (e.g., litter sex ratio, kin density), and environmental context (e.g., date of bare ground, length of vegetative growing season) on survival of reproductive female GMGS using Cox proportional hazard models. Our results indicated that social dynamics (i.e., density) and environmental conditions (i.e., standardized first day of permanent snow cover and length of growing season) explained significant variation in annual maternal survival, while maternal characteristics did not. A higher density of related breeding females and the total number of females (both related and unrelated to the focal mother) were associated with an increase in the mortality hazard. A later standardized date of the first day of permanent snow cover and a shorter growing season both reduced the maternal mortality hazard. Together, our results suggest that factors extrinsic to the squirrels affect maternal survival, and thus may also influence local population growth and dynamics in GMGS and other short-lived, territorial mammal species. Methods Study Site & Data Collection The Rocky Mountain Biological Research Laboratory (RMBL) is located in the East River Valley of Gunnison, Colorado (38°58'N, 106°59'W). The 13-ha study site is situated at an elevation of 2,900 m above sea level. A complete census of the GMGS population at RMBL began in 1990, with detailed pedigrees constructed for all adult females beginning in 1995. We used data collected from 1995 to 2020 on 141 resident females for which we had 249 annual observations and 131 mortality events. Females entered the study the year of their first reproduction, which occurred at age one or two for nearly all individuals. Because we only included reproductive females, any instance where an individual disappeared from the study site was classified as a mortality event as post-breeding dispersal is extremely rare (<1% of females, Van Vuren, unpublished). To develop a census database for analysis, field methods involved monthly trapping events during the active season and daily observations. Once trapped, individuals were identified by ear tag (Monel 1005-1) and by unique dye mark (Nyanzol-D) applied to the fur, weighed (g) with a Pesola scale, and assessed for reproductive status based on nipple development. Individuals were classified as ‘alive’ if they were trapped or seen during daily observations, but adult females who failed to return to the system were classified as ‘dead.’ For immigrant individuals that were not born in the study site but entered and established a territory later, we used timing of entrance and mass at capture as indicators of age. Immigrants who were captured late in summer and had a mass consistent with other young of the year were classified as juveniles and assigned a known age; by contrast, immigrants who were captured in spring could be yearlings or older and mass could not be used as a categorical difference, making their age unknown.

  16. R

    Census of breeding birds in fragmented high-altitude mountain pine forests...

    • entrepot.recherche.data.gouv.fr
    pdf, tsv
    Updated Apr 24, 2024
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    Francoise Lescourret; Francoise Lescourret; Michel Génard; Michel Génard (2024). Census of breeding birds in fragmented high-altitude mountain pine forests of the Central French Pyrenees in 1987 [Dataset]. http://doi.org/10.57745/AMIZQK
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    pdf(104554), tsv(4073), tsv(6715), tsv(8946), tsv(2758), pdf(1146117)Available download formats
    Dataset updated
    Apr 24, 2024
    Dataset provided by
    Recherche Data Gouv
    Authors
    Francoise Lescourret; Francoise Lescourret; Michel Génard; Michel Génard
    License

    https://spdx.org/licenses/etalab-2.0.htmlhttps://spdx.org/licenses/etalab-2.0.html

    Area covered
    Pyrenees, French
    Dataset funded by
    SRETIE
    Description

    197 point-count surveys of breeding birds (passerines and picidae) were conducted in 1987 in a high-altitude (1800 to 2400 metres) fragmented pine forest located in the Néouvielle National Nature Reserve in the central French Pyrenees. The altitude, the percentage of open areas, of stones, boulders and of herbaceous and ligneous plant cover at various heights, the canopy height and number of dead trees, along with landscape variables describing patch size and isolation from large pine stands or low-altitude forests, were assessed for each point count. Additionally, the presence of cones attacked by the Common Crossbill (Loxia curvirostra), the Great Spotted Woodpecker (Dendrocopos major) and the Red Squirrel (Sciurus vulgaris), and Capercaillie (Tetrao urogallus) droppings were recorded at the point counts. These data provide valuable information on the breeding bird community and Red Squirrel occurrence in a typical high-altitude mountain pine forest in the Pyrenees in 1987, serving as a baseline for future comparisons to study population and community changes, the impact of climate change, habitat fragmentation, and conservation priorities.

  17. r

    Australian Nucleotide (DNA/RNA) and Protein sequences from Australian...

    • researchdata.edu.au
    Updated Jul 20, 2012
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    QFAB Bioinformatics (2012). Australian Nucleotide (DNA/RNA) and Protein sequences from Australian organisms in the species Sciurus carolinensis [Dataset]. https://researchdata.edu.au/australian-nucleotide-dnarna-sciurus-carolinensis/56317
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    Dataset updated
    Jul 20, 2012
    Dataset provided by
    QFAB
    Authors
    QFAB Bioinformatics
    Area covered
    Australia
    Description

    This data collection contains all currently published nucleotide (DNA/RNA) and protein sequences from Australian Sciurus carolinensis, commonly known as American Grey Squirrel. Other information about this group:

    The nucleotide (DNA/RNA) and protein sequences have been sourced through the European Nucleotide Archive (ENA) and Universal Protein Resource (UniProt), databases that contains comprehensive sets of nucleotide (DNA/RNA) and protein sequences from all organisms that have been published by the International Research Community.

    The identification of species in Sciurus carolinensis as Australian dwelling organisms has been achieved by accessing the Australian Plant Census (APC) or Australian Faunal Directory (AFD) through the Atlas of Living Australia.

  18. r

    Australian Nucleotide (DNA/RNA) and Protein sequences from Australian...

    • researchdata.edu.au
    Updated Jul 20, 2012
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    QFAB Bioinformatics (2012). Australian Nucleotide (DNA/RNA) and Protein sequences from Australian organisms in the species Funambulus pennantii [Dataset]. https://researchdata.edu.au/australian-nucleotide-dnarna-funambulus-pennantii/55566
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    Dataset updated
    Jul 20, 2012
    Dataset provided by
    QFAB
    Authors
    QFAB Bioinformatics
    Area covered
    Australia
    Description

    This data collection contains all currently published nucleotide (DNA/RNA) and protein sequences from Australian Funambulus pennantii, commonly known as Five-lined Palm Squirrel. Other information about this group:

    The nucleotide (DNA/RNA) and protein sequences have been sourced through the European Nucleotide Archive (ENA) and Universal Protein Resource (UniProt), databases that contains comprehensive sets of nucleotide (DNA/RNA) and protein sequences from all organisms that have been published by the International Research Community.

    The identification of species in Funambulus pennantii as Australian dwelling organisms has been achieved by accessing the Australian Plant Census (APC) or Australian Faunal Directory (AFD) through the Atlas of Living Australia.

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The Squirrel Census (2019). 2018 Central Park Squirrel Census - Squirrel Data [Dataset]. https://data.cityofnewyork.us/Environment/2018-Central-Park-Squirrel-Census-Squirrel-Data/vfnx-vebw

2018 Central Park Squirrel Census - Squirrel Data

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xml, csv, application/rdfxml, tsv, application/rssxml, application/geo+json, kmz, kmlAvailable download formats
Dataset updated
Oct 13, 2019
Dataset authored and provided by
The Squirrel Census
Description

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.

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