The Dog Food Data Extracted from Chewy (USA) dataset contains 4,500 detailed records of dog food products sourced from one of the leading pet supply platforms in the United States, Chewy. This dataset is ideal for businesses, researchers, and data analysts who want to explore and analyze the dog food market, including product offerings, pricing strategies, brand diversity, and customer preferences within the USA.

The dataset includes essential information such as product names, brands, prices, ingredient details, product descriptions, weight options, and availability. Organized in a CSV format for easy integration into analytics tools, this dataset provides valuable insights for those looking to study the pet food market, develop marketing strategies, or train machine learning models.

Key Features:

• Record Count: 4,500 dog food product records.
• Data Fields: Product names, brands, prices, descriptions, ingredients .. etc. Find more fields under data points section.
• Format: CSV, easy to import into databases and data analysis tools.
• Source: Extracted from Chewy’s official USA platform.
• Geography: Focused on the USA dog food market.

Use Cases:

• Market Research: Analyze trends and preferences in the USA dog food market, including popular brands, price ranges, and product availability.
• E-commerce Analysis: Understand how Chewy presents and prices dog food products, helping businesses compare their own product offerings.
• Competitor Analysis: Compare different brands and products to develop competitive strategies for dog food businesses.
• Machine Learning Models: Use the dataset for machine learning tasks such as product recommendation systems, demand forecasting, and price optimization.

Dogs and cats have become the most important and successful pets through long-term domestication. People keep them for various reasons, such as their functional roles or for physical or psychological support. However, why humans are so attached to dogs and cats remains unclear. A comprehensive understanding of the current state of human preferences for dogs and cats and the potential influential factors behind it is required. Here, we investigate this question using two independent online datasets and anonymous questionnaires in China. We find that current human preferences for dog and cat videos are relatively higher than for most other interests, with video plays ranking among the top three out of fifteen interests. We also find genetic variations, gender, age, and economic development levels notably influence human preferences for dogs and cats. Specifically, dog and cat ownership are significantly associated with parents’ pet ownership of dogs and cats (Spearman’s rank correlation c..., , , # Human preferences for dogs and cats in China: the current situation and influencing factors of watching online videos and pet ownership

https://doi.org/10.5061/dryad.qfttdz0rr

This dataset contains three CSV data files, each corresponding to one of the three parts described in the study.

Description of the data and file structure

**“1, bilibili.csv†**: contains data extracted from the Bilibili website. Each row in the dataset represents yearly data for each popular channel. Missing data are indicated with NA.

• ID:Â The serial number for each video, ranging from 1 to 167368.
• year: The year the video was published on the website, from 2009 to 2021.
• Videourl:Â The URL of the video.
• plays:Â The total number of plays for the video.
• likes: The total number of likes for the video.
• sort: The ranking of the video in terms of play count among all popular videos in its channel for that year.
• channelID: The I...

The dataset includes movement sensor data from sensors placed on the collar and the harness of a dog and recorded while the dog is given tasks or activities to perform. The task are: galloping, lying on chest, sitting, sniffing, standing, trotting, and walking. The movement sensors used are: ActiGraph GT9X Link (ActiGraph LLC, Florida, USA) and they include 3D accelerometer and 3D gyroscope. The sampling rate used is 100 Hz.

The dataset is described in more detail in the data description article: Vehkaoja, A., Somppi, S., Törnqvist, H., Valldeoriola Cardó, A., Kumpulainen, P., Väätäjä, H., Majaranta, P., Surakka, V., Kujala, M. V., Vainio, O., Description of Movement Sensor Dataset for Dog Behavior Classification, Data in Brief, 2022.

The behavior classification results obtained with the dataset are published in: Kumpulainen, P., Valldeoriola Cardó, A., Somppi, S., Törnqvist, H., Väätäjä, H., Majaranta, P., Gizatdinova, Y., Hoog Antink, C., Surakka, V., Kujala, M. V., Vainio, O., and Vehkaoja, A., Dog behaviour classification with movement sensors placed on the harness and the collar, Applied Animal Behavior Science, 241 (2021): 105393. https://doi.org/10.1016/j.applanim.2021.105393

The authors of the dataset request researchers to refer to the aforementioned publications when using the data and publishing results produced using it.

Data on prairie dog densities, flea abundance on prairie dogs, and plague epizootics in Montana and Utah, USA, 2003-2005. Prairie dog species (PDspecies in the data file) included black-tailed prairie dogs (PDs) (BTPD, Cynomys ludovicianus) in north-central Montana, white-tailed PDs (WTPD, Cynomys leucurus) in eastern Utah, and Utah PDs (UPD, Cynomys parvidens) in southwestern Utah. Field research was completed by the U.S. Geological Survey, Fort Collins Science Center, and colleagues. We used summertime visual counts as an index to PD densities (Pddensity in the data file). For each plot, we counted PDs using binoculars and/or spotting scopes from a single location outside the plot that gave the best view of the entire plot and repeated these counts on three (usually consecutive) days. We began counts just after sunrise and continued to conduct repeated systematic scans of the plot until the counts declined to about half the peak number (usually by late morning as PDs went below ground for their typical mid-day break). We converted the counts to density estimates (counts per hectare [ha]).The estimate we used to calculate density was the highest count obtained from a plot for the 3 days within a given year. We analyzed data from colonies experiencing a plague epizootic during this particular study (with an epizootic defined as greater than or equal to 90% decline in PD density). We indexed annual population change (PDpopchgProportion in the data file) by subtracting the count density estimate of the year before a plague epizootic (t1) from the density estimate during an epizootic (t2) for each plot, and dividing that by the density estimate from t1 to summarize population change as a proportionate change. We evaluated the correlation between PD population change and PD density in year t1, because negative plague-effects and the intensity of population decline may be greatest when PD densities are high in year t1 (a potential "density dependent" phenomenon discussed in a wide range of literature on disease ecology). We also evaluated the correlation between PD population change and flea abundance in year t1, because rates of plague transmission and, therefore, PD mortality are expected to increase with increasing flea densities. To assess flea abundance (PDfleas in the data file), we combed live-trapped PDs and counted the number of fleas on each PD. The PDs were live-trapped, individually marked with ear tags, and combed as thoroughly as possible for 30 seconds (s) to collect fleas. Prairie dogs were allowed to recover from anesthesia and released at their trapping locations. For each plot and year, we used the average value of flea counts (defined as flea abundance).

This data tracks the spatial extent of black-tailed prairie dog colonies on OSMP-managed lands over time, including any held in fee and on conservation easements where the department has a management agreement in place.Data was collected using GPS and clipped to the City of Boulder Open Space and Mountain Parks (OSMP) and Boulder County Parks and Open Space (BCPOS) properties. It has been collected yearly each fall since 1996, by OSMP wildlife staff. Black-tailed prairie dog colonies create a unique habitat on the landscape. They create habitat and food for other animals of federal, state, and local conservation concern (e.g. burrowing owls, ferruginous hawks, bald and golden eagles, American badger, etc., (see the OSMP Grassland Ecosystem Management Plan for more details)). Their burrowing activity also causes conflicts when it occurs on parcels where the management focus is on agriculture or other purposes. The conflict can be especially high in areas of irrigated grasslands since the burrowing activity can alter how water is applied to the landscape, and prairie dog browsing can remove graminoid cover and encourage invasions of tenacious non-native form species. System-wide mapping was first initiated by the mandate to monitor black-tailed prairie dogs in the “City of Boulder Grassland Management: Black-tailed Prairie Dog Habitat Conservation Plan”. This plan was approved by the City of Boulder Open Space Board of Trustees on March 13, 1996. Annual system-wide mapping began that fall, and continued each subsequent fall starting on Sept 1. In 2012 a field was added to distinguish active vs inactive colonies. At this time we began also collecting inactive colony boundaries.The spatial data informs the public, lessees, academic researchers, and partnering agencies as to the extent of the black-tailed prairie dogs on our properties. This data informs conservation planning for sensitive species, including the federally endangered black-footed ferret. The annual mapping can be used to visually demonstrate how populations fluctuate, highlight areas of conflict, and inform management decisions. This long term data set allows for a retrospective view of where prairie dogs have occurred on the system in the past, but where they may no longer persist. This historic view helps staff identify areas where prairie dogs are likely to become reestablished, either through natural recolonization or by direct relocation. Information on where prairie dogs have or do exist also helps inform Habitat Suitability Models. The data set also provides staff with tools to make management decision based on colony management designations (Prairie Dog Conservation Area, Grassland Preserve, Multiple Objective Area, Transition Area, Removal Area (see OSMP Grassland Ecosystem Management Plan for specifics on the designation process)) The data is not meant to estimate the population of individual animals on the system or to estimate colony density.

Assistance dogs' roles have diversified to support people with various disabilities, especially in the U.S. Data presented here are from the U.S. and Canada non-profit facilities (including both accredited and candidate members that fulfilled partial requirements: all here termed “accredited”) of Assistance Dogs International (ADI) and the International Guide Dog Federation (IGDF), and from non-accredited U.S. assistance dog training facilities, on the numbers and types of dogs they placed in 2013 and 2014 with persons who have disabilities. ADI categories of assistance dogs are for guide, hearing, and service (including for assistance with mobility, autism, psychiatric, diabetes, seizure disabilities). Accredited facilities in 28 states and 3 provinces responded; accredited non-responding facilities were in 22 states and 1 province (some in states/provinces with responding accredited facilities). Non-accredited facilities in 16 states responded. U.S./Canada responding accredited facilities (55 of 96: 57%) placed 2,374 dogs; non-accredited U.S. facilities (22 of 133: 16.5%) placed 797 dogs. Accredited facilities placed similar numbers of dogs for guiding (n = 918) or mobility (n = 943), but many more facilities placed mobility service dogs than guide dogs. Autism service dogs were third most for accredited (n = 205 placements) and U.S. non-accredited (n = 72) facilities. Psychiatric service dogs were fourth most common in accredited placements (n = 119) and accounted for most placements (n = 526) in non-accredited facilities. Other accredited placements were for: hearing (n = 109); diabetic alert (n = 69), and seizure response (n = 11). Responding non-accredited facilities placed 17 hearing dogs, 30 diabetic alert dogs, and 18 seizure response dogs. Non-accredited facilities placed many dogs for psychiatric assistance, often for veterans, but ADI accreditation is required for veterans to have financial reimbursement. Twenty states and several provinces had no responding facilities; 17 of these states had no accredited facilities. In regions lacking facilities, some people with disabilities may find it inconvenient living far from any supportive facility, even if travel costs are provided. Despite accelerated U.S./Canada placements, access to well-trained assistance dogs continues to be limited and inconvenient for many people with disabilities, and the numerous sources of expensive, poorly trained dogs add confusion for potential handlers.

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83512. We investigated the use of prairie dog towns by cattle (Bos taurus) on the shortgrass steppe of northeastern Colorado by conducting surveys of cattle and vegetation from June to August 1999. Cattle presence and behavior were recorded 3 times a week during driving surveys of 15 black-tailed prairie dog (Cynomys ludovicianus) towns. A subset of 3 pastures with prairie dog towns was intensively surveyed twice weekly wherein the habitat and activity of a randomly chosen focal animal was recorded every 6 minutes for 3.5 hours. Bite and step counts of other individuals were recorded for 5-minute intervals. Vegetation height and cover data were collected monthly on each of 6 habitats. Results from driving surveys and intensively surveyed pastures were similar; cattle neither significantly preferred nor avoided prairie dog towns. Bare ground cover on prairie dog towns did not significantly differ from most other habitats, but vegetation on prairie dog towns was significantly shorter on (mean = 6.7 cm) than that off (mean = 11.9 cm) prairie dog towns. Nevertheless, foraging observations indicated that there was no significant difference between cattle foraging rates on swales (70.9 bites/min) and prairie dog towns (69.5 bites/min). Thus, cattle on the shortgrass steppe appear to use prairie dog towns in proportion to their availability and, while there, they graze as intensively as they do on habitats not inhabited by prairie dogs. Resources in this dataset:Resource Title: Website Pointer to html file. File Name: Web Page, url: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sgs&identifier=526 Webpage with information and links to data files for download

This hunting area dataset depicting areas where Pest hunting (Red Fox, European Hare, European Rabbit, Goat, Pig, Wild Dogs) is permitted, have boundaries largely derived from the PLM25 dataset which are supplemented with additional boundaries based on legislative restrictions on hunting. The dataset identifies the conditions under which hunting of given Game and Pest animal groups and species is permitted. The rules used to produce this product were developed by the legislation unit with the Land Management Division of the Department of Environment , Land, Water and Planning in consultation with the Game Management Authority, VicPolice, Parks Victoria and other relevant government authorities. These rules are based on requirements in the Forest Act, National Park Act, Crown land (Reserve) Act, Land Act, Wildlife Act. Note : Hunters are personally responsible for acting in accordance with the Firearms Act 1996 (including informing themselves about any prohibited locations within the areas shown on this map) and other relevant laws; obtaining the required hunting licence; and for hunting only within season. More information can be obtained from the Game Management Authority's web site. Vicmap Basemap Services | State Government of Victoria | @DELWP

Context

National Association of Canine Scent Work, LLC (NACSW) is an organization in the US that arranges well-structured and engaging canine scent detection competitions. Think a for-fun competition version of the kind of work a sniffer dog does when they're screening luggage at an airport.

Dogs competing in NACSW are trained to detect 3 target odors - Birch, Anise and Clove. At the trials, cotton swabs or similar items scented with one or more of these odors are hidden out of view. The dogs must source the locations of the hides and indicate to their handler who reports the find to the judge. If the team correctly sources a hide, they earn points for it.

Teams work in diverse environments (referred to as elements) searching for hides in indoor locations, outdoor locations, on vehicles and in containers. The number of hides, search area sizes and complexity of the scent puzzles the teams encounter increases with increasing levels of competition. At higher levels of competition teams also encounter unknown number of hides including unknown no hides (blank areas).

Content

The dataset that was analyzed consists of the results of NACSW NW1, NW2, NW3, Elite, Summit, L1, L2 & L3 trials from 2009 through 2021. It was obtained by scraping the results posted at NACSW's trial results page.

NACSW's full trial rule book is available here and can be used as a reference in understanding how the scores, times, faults, errors in the results data translate into pass/fail results, titles, high-in-trial and other placements. The rule book also provides more information on the different elements.

Acknowledgements

Thank you, NACSW for making this trove of historical scent work data available publicly to the trial competitors and fans of this dog sport and venue.

Inspiration

For Exploration

1. How did the popularity of this dog sport change over time and space since its introduction?
2. What are the top breeds in this sport (and by what definition of "top")? How has this changed over the years?
3. On average, how many attempts does it take for a team to earn their NW1 title?
4. Is one search element (amongst Interior, Exterior, Vehicle, Container) the most difficult for all dogs on average?
5. Does success in any one element correlate with success in another element?

My own attempts at exploring and analyzing this data for some of these questions can be found at this project site and corresponding repository

For Prediction

1. What states will next year's NW1 overall high placing dogs earn their titles from?
2. Which new breeds will appear in the Summit trials in the next 5 years?
3. What breed mix would make a good scent work dog?

Animal Services Provides for the care and control of animals in the Louisville Metro area, including pet licensing and pet adoption. Data Dictionary: violation number - Number automatically generated when a citation, civil penalty or violation is stored in Chameleon violation type CIT CRUEL Uniform Citation where 525.130 has been charged CIT DD/PDD Uniform Citation where 91.150 or 91.152 has been charged CITATION Uniform Citation CITE71 Uniform Citation issued in the field for someone contesting the requirements of 91.071 CIVIL PEN Civil Penalty CRIM COMP Criminal Complaint V71/CITE When a offender does not comply with a VIOL 71 and a CITATION is issued in its place for noncompliance. V71/CP When a offender does not comply with a VIOL 71 and a CIVIL PEN is issued in its place for noncompliance. V71/CRIM When a offender does not comply with a VIOL 71 and a CRIM COMP is issued in its place for noncompliance. VET Violation Notice issued for vet care or grooming needs VET/CRIM When a offender does not comply with a VET and a CRIM COMP is issued in its place for noncompliance. VIOL 71 Violation Notice issued when an animal has been impounded in the field and returned to it's owner. Charges can include 91.002, 91.020, 91.071. VIOL CTER Violation Notice issued when a pet that was impounded at the shelter is redeemed by its owner. Charges can include 91.002, 91.020, 91.071. VIOL NOTIC Violation Notice VIOL RED Violation Notice issued when a pet that was impounded at the shelter is redeemed by its owner but a vet is not present to complete the requirements of 91.071. Owner is given time to complete the requirements. Charges can include 91.002, 91.020, 91.071. VIOL/CP When a offender does not comply with a VIOL NOTIC and a CIVIL PEN is issued in its place for noncompliance. VIOL/CRIM When a offender does not comply with a VIOL NOTIC, or WARNING and a CRIM COMP is issued in its place for noncompliance. VN/CITE When a offender does not comply with a VIOL NOTIC and a CITATION is issued in its place for noncompliance. VOTC/CITE When an offender is issued a VIOL CTER but contest the requirements of 91.071 so a CITATION is issued. VOTC/CP When a offender does not comply with a VIOL CTER and a CIVIL PEN is issued in its place for noncompliance. VOTC/CRIM When a offender does not comply with a VIOL CTER and a CRIM COMP is issued in its place for noncompliance. VRED/CITE When a offender does not comply with a VIOL RED and a CITATION is issued in its place for noncompliance. VRED/CP When a offender does not comply with a VIOL RED and a CIVIL PEN is issued in its place for noncompliance. VRED/CRIM When a offender does not comply with a VIOL RED and a CRIM COMP is issued in its place for noncompliance. WARN/CITE When a offender does not comply with a WARNING or VET and a CITATION is issued in its place for noncompliance. WARN/CP When a offender does not comply with a WARNING and a CIVIL PEN is issued in its place for noncompliance. WARNING Violation Notice where no fee is charged or owner is required to comply with a particular requirement such as fixing a fence, getting a dog house, etc. form - Unique number on each citation, civil penalty or violation used to identify the particular form violation date - Date the citation, civil penalty or violation was issued case number - Activity number associated with the citation and the sequence number associated with the run. This number shows how many times an officer has worked that particular run case type ALLEY CAT TRAP A call where an animal control officer and a member of Alley Cat Advocates works together to trap cats for TNR. ASSIST Any call where assistance is needed from an animal control officer. ASSIST ACO Any call where an animal control officer requires assistance from another animal control officer. ASSIST FIRE Any call where Fire requires assistance from the animal control officer. ASSIST OTHER Any call where another emergency responder or government employee requires assistance from the animal control officer. ASSIST POLICE Any call where Police requires assistance from the animal control officer. ASSIST SHERIFF Any call where an sheriff requires assistance from the animal control officer. CONVERT A call created when a officer is converting a violation notice to a citation or a civil penalty for noncompliance. CONVERT CITATION A call created when a officer is converting a violation notice to a citation or a civil penalty for noncompliance. INVESTIGAT Any complaint where an investigation is needed that does not fit into a category already in use. INVESTIGAT # POULTRY Any complaint where the caller states the owner has more poultry than allowed by the ordinance. INVESTIGAT ABAN Any call for an owner leaving an animal for a period in excess of 24 hours, without the animal's owner or the owners’ designated caretaker providing all provisions of necessities. INVESTIGAT ABUSE A cruelty/abuse/neglect situation where the health and safety of an animal is in jeopardy because of exposure to extreme weather, or other neglect/abuse factors. Examples include reports of beating, hitting, kicking, burning an animal, dog currently suffering from injury or illness and could die if treatment not provided INVESTIGAT ANI ATACK Any call for an attack on an animal by another animal. INVESTIGAT BARKLETTER Any barking complaint where the caller wishes to remain anonymous. INVESTIGAT BITE Any call for a bite from an animal to a person INVESTIGAT BITEF This is used when an animal control officer is following up on a bite investigation. INVESTIGAT CHAINING Any complaint of a dog tethered illegally. The dispatcher must verify with the caller that the dog is not in distress and has necessities such as water, shelter etc. INVESTIGAT CROWLET Any crowing complaint where the caller wishes to remain anonymous. INVESTIGAT DOGFIGHT Any call where a person or persons in engaged in fighting dogs or have fought dogs in the past. INVESTIGAT ENCLOSURE Any complaint made due to an animal not being confined securely in an enclosure. Examples being holes in fences, jumping a fence. INVESTIGAT FECES LET Any complaint concerning a citizen not picking up after their animal where the caller wishes to remain anonymous. INVESTIGAT FOLLOW UP This call is used when an animal control officer is following up on an investigation. INVESTIGAT LIC LETTER Any complaint to check license not reported by the Health Dept. or supervisor. INVESTIGAT NEGLI A cruelty/abuse/neglect situation where the health and safety of an animal is in jeopardy because of exposure to extreme weather, or other neglect/abuse factors. Examples include reports of failure to provide vet care, thin animal, no shelter , no water/food. INVESTIGAT OTHER Any complaint where an investigation is needed that does not fit into a category already in use. INVESTIGAT PET IN CAR Any complaint of an animal left in a car INVESTIGAT TNR Any complaint of stray unowned cats MAS A run made to meet a caller at Metro Animal Services MAS TRAP Calls made by animal control officers when they are trapping cats for TNR. NUISANCE BARK Any complaint on a barking dog where the complainant wants to be contacted and give a statement NUISANCE CROWING Any crowing complaint where the complainant wants to be contacted and give a statement. NUISANCE OTHER Any complaint other than barking, crowing, and restraint issues where the complainant wants to be contacted and give a statement. NUISANCE RESTRAINT Any restraint complaint where the complainant wants to be contacted and give a statement. OTHER This category is used for a variety of calls including picking up tags, speaking at events, calls that do not have a category already OWNED Any call for an owned animal that does not fit in one of the other categories. OWNED AGGRESSIVE Any aggressive loose animal that is owned. Aggressive behavior includes growling, showing teeth, lunging forward or charging at the person or other animal. PERMIT INS A call for an animal control officer to conduct a permit inspection at a particular location. RESCUE DOMESTIC A call for an domestic animal in distress, typically dogs and cats. These calls include dogs in lakes, animals in sewers or drains, cats in car engines, etc. RESCUE LIVESTOCK A call for livestock in distress. This includes cattle stuck in ponds, cattle near a busy roadway, etc. RESCUE OTHER A call for an domestic animal in distress, typically any other domestic animal or any call that does not fit in the other categories. RESCUE WILDLIFE This call is typically used for a bat in someone's home or business. STRAY Any call for an animal that is stray that does not fit a specific category STRAY AGGRS Any aggressive loose animal that is stray. Aggressive behavior includes growling, showing teeth, lunging forward or charging at the person or other animal. STRAY CONF Any call for an unowned, non-aggressive animal, excluding a bat, confined by a citizen that is not in a trap. STRAY INJURED Any call for a sick/injured animal that is life threatening i.e. – vomiting or defecating blood, trouble breathing, unable to move, hit by a car, visible wounds, bleeding profusely, unable to stand. This includes sick or injured community cats. STRAY POSS OWNED Any animal running loose that has an owner or possible owner. This is used when the caller does not want to give a statement or be contacted. STRAY ROAM Any animal running loose that has no known owner, excluding cats. Will be closed out after 72 hours if no further calls and no call back number. STRAY SICK Any call for a sick/injured animal that is life threatening i.e. – vomiting or defecating blood, trouble breathing, unable to move, hit by a car, visible wounds, bleeding profusely, unable to stand. This includes sick or injured community cats. STRAY TRAP Any call for a dog or cat, excluding a bat, confined in a trap. This includes checking a trap set by LMAS daily. SURRENDER A call to pick up an owned animal that the owner wants to surrender. SURRENDER

Our study was conducted in 2005 on 3 colonies of black-tailed prairie dogs on lands in Phillips County, Montana administered by the Bureau of Land Management and in 2009 on a colony of black-tailed prairie dogs on Buffalo Gap National Grassland, Pennington County, South Dakota managed by U.S. Forest Service. We live-trapped black-tailed prairie dogs in daylight with wire mesh traps and marked their ears with numbered tags for individual identification. We weighed each individual to the nearest gram and collected Universal Transverse Mercator coordinates of their trapping locations over time. In Montana, trapping began on 15 June 2005 and ended on 1 October 2005. In South Dakota, trapping was conducted during 7 June through 7 October 2009. In both states, trapping was split into two sessions, early summer (June-July) and late summer (August-early October). An individual prairie dog was classified as encountered for the early summer session if it was detected at any time during that session and reencountered if it was detected one or more times during the late summer session. For each site, we calculated the center of activity for individual prairie dog capture locations as the mean of X-coordinates and the mean of Y-coordinates. We located adult black-footed ferrets and adult American badgers via spotlighting on nearly consecutive nights each field season. Ferrets of known age and sex were individually identifiable via passive integrated transponders. In South Dakota, but not Montana, locations of adult American badgers were recorded; adult badgers of unknown sex were not individually identifiable. We transformed prairie dog body mass (from initial capture in each state) into a binomial, categorizing prairie dogs of ≥ 600 grams at first capture as large and those of < 600 grams as small. We calculated the Euclidean distance separating each prairie dog center of activity from the closest location for any adult female ferret, any adult male ferret, and any badger. Given more intense monitoring in South Dakota for prairie dogs and ferrets alike, we were able to define individual prairie dogs as spatially "near" ferrets or badgers if their center of activity was ≤ 20 meters from the nearest adult female, male ferret, or badger spotlight locations. Data collection in Montana was less intense and the prairie dogs and ferrets were more spatially dispersed; thus, we extended the definition of “near” to ≤ 50 meters for Montana. Prairie dogs with activity centers beyond these distance cutoffs were classified as "far" from the nearest adult female, male ferret, or badger. The first dataset (Prey Selection Data.csv) includes variables for state, prairie dog reencounter from early to late summer, prairie dog body size, distance to adult female ferret, distance to adult male ferret, and distance to badger. The second dataset (Juvenile Prairie Dog Mass South Dakota Data.csv) includes data on juvenile prairie dog body mass in South Dakota, and includes variables for date of capture, state, prairie dog age, and the juvenile prairie dog's body mass in grams at capture. Only the mass measurements for juveniles in South Dakota were analyzed in the Larger Work manuscript cited herein. Funding for this study was provided by the U.S. Geological Survey Fort Collins Science Center internally and through the collaborative USGS/U.S. Fish and Wildlife Service Species Survival Program.

This is a common Zenodo repository for both lastfm-360K and lastfm-1K datasets. See below the details of both datasets, including license, acknowledgements, contact, and instructions to cite.

LASTFM-360K (version 1.2, March 2010).

What is this? This dataset contains tuples (for ~360,000 users) collected from Last.fm API, using the user.getTopArtists() method.

Files:

usersha1-artmbid-artname-plays.tsv (MD5: be672526eb7c69495c27ad27803148f1)

usersha1-profile.tsv (MD5: 51159d4edf6a92cb96f87768aa2be678)

mbox_sha1sum.py (MD5: feb3485eace85f3ba62e324839e6ab39)

Data Statistics:

File usersha1-artmbid-artname-plays.tsv:

Total Lines: 17,559,530

Unique Users: 359,347

Artists with MBID: 186,642

Artists without MBID: 107,373

Data Format: The data is formatted one entry per line as follows (tab separated "\t"):

File usersha1-artmbid-artname-plays.tsv:

user-mboxsha1 \t musicbrainz-artist-id \t artist-name \t plays

File usersha1-profile.tsv:

user-mboxsha1 \t gender (m|f|empty) \t age (int|empty) \t country (str|empty) \t signup (date|empty)

Example:

File usersha1-artmbid-artname-plays.tsv:

000063d3fe1cf2ba248b9e3c3f0334845a27a6be \t a3cb23fc-acd3-4ce0-8f36-1e5aa6a18432 \t u2 \t 31 ...

File usersha1-profile.tsv:

000063d3fe1cf2ba248b9e3c3f0334845a27a6be \t m \t 19 \t Mexico \t Apr 28, 2008 ...

LASTFM-1K (version 1.0, March 2010).

What is this? This dataset contains tuples collected from Last.fm API, using the user.getRecentTracks() method. This dataset represents the whole listening habits (till May, 5th 2009) for nearly 1,000 users.

Files:

userid-timestamp-artid-artname-traid-traname.tsv (MD5: 64747b21563e3d2aa95751e0ddc46b68)

userid-profile.tsv (MD5: c53608b6b445db201098c1489ea497df)

Data Statistics:

File userid-timestamp-artid-artname-traid-traname.tsv:

Total Lines: 19,150,868

Unique Users: 992

Artists with MBID: 107,528

Artists without MBDID: 69,420

Data Format: The data is formatted one entry per line as follows (tab separated, "\t"):

File userid-timestamp-artid-artname-traid-traname.tsv:

userid \t timestamp \t musicbrainz-artist-id \t artist-name \t musicbrainz-track-id \t track-name

File userid-profile.tsv:

userid \t gender ('m'|'f'|empty) \t age (int|empty) \t country (str|empty) \t signup (date|empty)

Example:

File userid-timestamp-artid-artname-traid-traname.tsv:

user_000639 \t 2009-04-08T01:57:47Z \t MBID \t The Dogs D'Amour \t MBID \t Fall in Love Again? user_000639 \t 2009-04-08T01:53:56Z \t MBID \t The Dogs D'Amour \t MBID \t Wait Until I'm Dead ...

File userid-profile.tsv:

user_000639 \t m \t Mexico \t Apr 27, 2005 ...

LICENSE OF BOTH DATASETS. The data contained in both datasets is distributed with permission of Last.fm. The data is made available for non-commercial use. Those interested in using the data or web services in a commercial context should contact:

partners [at] last [dot] fm

For more information see Last.fm terms of service

ACKNOWLEDGEMENTS. Thanks to Last.fm for providing the access to this data via their web services. Special thanks to Norman Casagrande.

REFERENCES. When using this dataset you must reference the Last.fm webpage. Optionally (not mandatory at all!), you can cite Chapter 3 of this book:

@book{Celma:Springer2010, author = {Celma, O.}, title = {{Music Recommendation and Discovery in the Long Tail}}, publisher = {Springer}, year = {2010} }

CONTACT: This data was collected by Òscar Celma @ MTG/UPF

Coccidioides is a soil-dwelling fungus that causes coccidioidomycosis, a disease also known as Valley fever, which affects humans and a variety of animal species. Recent findings of Coccidioides in new, unexpected areas of the United States have demonstrated the need for a better understanding of its geographic distribution. Large serological studies on animals could provide important information on the geographic distribution of this pathogen. To facilitate such studies, we used protein A/G, a recombinant protein that binds IgG antibodies from a variety of mammalian species, to develop an enzyme immunoassay (EIA) that detects IgG antibodies against Coccidioides in a highly sensitive and high-throughput manner. We showed the potential of this assay to be adapted to multiple animal species by testing a collection of serum and/or plasma samples from dogs, mice, and humans with or without confirmed coccidioidomycosis. We then evaluated the performance of the assay in dogs, using sera from dogs residing in a highly endemic area, and found seropositivity rates significantly higher than those in dogs of non-endemic areas. We further evaluated the specificity of the assay in dogs infected with other fungal pathogens known to cross-react with Coccidioides. Finally, we used the assay to perform a cross-sectional serosurvey investigating dogs from Washington, a state in which infection with Coccidioides has recently been documented. In summary, we have developed a Coccidioides EIA for the detection of antibodies in canines that is more sensitive and has higher throughput than currently available methods, and by testing this assay in mice and humans, we have shown a proof of principle of its adaptability for other animal species.

Oral sylvatic plague vaccine baits (SPV) and placebo baits, each containing Rhodamine B dye biomarker, were distributed once annually from 2013-2016 on treated and non-treated paired plots from 2013-2016. Black-tailed prairie dogs (BTPD) were live-trapped and permanently marked with passive integrated transponders and ear tags on 4 pairs of plots each year from 2013-2017 to provide capture/recapture data. Capture locations were recorded using global positioning systems. Hair and whisker samples were pulled from each prairie dog to assess bait uptake (i.e. consumption) using a florescent microscope to inspect the samples for Rhodamine B florescence.
The first data set (CMR_MOVEMENT_DATA.csv) lists distances (meters) between capture locations from a single prairie dog within a given year, with the data limited to prairie dogs with 2 or more capture locations (one distance measurement per pair of 2 locations per year). The second data set (CMR_BAIT_UPTAKE.csv) lists bait uptake o ...

Map shows all stray cats and dogs that are currently listed in AAC's database for no longer than a week. Most will be located at AAC, but some will be held by citizens, which will be indicated on the "At AAC" column. Please check http://www.austintexas.gov/department/lost-found-pet for more information.

Dogs do not use their own experience with novel barriers to infer others’ visual access

https://doi.org/10.5061/dryad.9cnp5hqsh

This study reports two implementations of the "goggles task" with dogs.

Description of the data and file structure

All information needed to reproduce the analyses is in the folder "Data_and_code_for_Lonardo_et_al_2024_PRSB.zip".

The dogs' age is always reported in months. In all data files, missing data are indicated with NAs.

Experiment 1 - gaze following in a cooperative, foraging context.

The data are in the folder "data".

The script containing the statistical analyses is in the file called "goggles_analysis.rmd".

The R project and workspace are called "dog_goggles_exp.Rproj" and "goggles_workspace.RData", respectively.

The R functions kindly provided by Roger Mundry are in the folder "functions", the plots are in the folder "graphics".

The model outputs are in the folder "saves".

The script to...

This relational database was created in Microsoft Access 2013. It contains five basic tables (literature, dog breeds, target species, target types and countries) and one main table (Study). The basic tables and the main table are connected through unique identifier (IDs). Any potential query can be built with this structure.

We included a few pre-defined queries:

Query_Breed_Human_comparison – A summary about which breed was better or not than any other method for which species Query_Number_of_dogs_breed – A list of how many dogs have been used per breed Query_Target_Species_Publications – A list of all target species and the publications mentioning them Query_Type_of_Source_Continent – A list of all publications by continent separated by type of source Query_Type_of_Source_Year – A chronological list of all publications separated by type of source Query_Year_Continent – A chronological list of all publications separated by continent

Note that double-mentioning is possible, e.g. when...

Aim: To identify potential landscapes for the conservation of the black-tailed prairie dog (BTPD) ecosystem, across their historical geographic range within the United States. Location: Central Grasslands of the United States. Methods: We used a structured decision analysis approach to identify landscapes with high conservation potential (HCP) for the BTPD ecosystem. Our analysis incorporated ecological, political, and social factors, along with changing climate and land use to maximize long-term conservation potential. We created scenarios that involved current and future projected suitable BTPD habitat, across the BTPD range within the United States. These were our RANGEWIDE scenarios. Additionally, because conservation policies and funding decisions are often made by political entities, we also identified STATE-LEVEL conservation priorities, under both present and projected future climate. Our STATE-LEVEL analysis sought conservation solutions within each of the states’ boundari..., Description of the data and file structure Spatial Data Layers Used in Conservation Prioritization Analysis We used the spatial conservation prioritization method and Zonation software (Moilanen et al. 2005) to evaluate how landscapes varied in their potential for prairie dog ecosystem conservation and restoration across the full range of the species in the United States. Our analysis included a total of 23 environmental input datasets for the full study area, based on the data sources described in Table 1. The most important layer we used to inform our analysis was the BTPD habitat suitability model, as it provided the basis for where, ecologically, the best places are to conserve and restore the BTPD ecosystem (Davidson et al. 2023). This habitat suitability model (HSM) was based on presence and absence data for BTPD occurrences across their geographic range within the United States (McDonald et al. 2015), and quantified how prairie dog occurrences related to climate, soils, topo..., , ## Description of the data and file structure

We compiled a suite of existing spatial data sets and converted them into the nested hexagon framework (NHF 2022). Once all files were converted into the hexagon framework, they were read into the program Zonation to run the conservation prioritization analysis. Here, we provide all of the datasets used in the Zonation analysis and the map products from the analysis that identify the landscapes with high conservation potential for the black-tailed prairie dog (BTPD) ecosystem.

https://doi.org/10.5061/dryad.wpzgmsbr5

Input Data

FINE SCALE HABITAT SUITABILITY SPATIAL DATA

File: ensemble_wave_Jan192021_HOTR

Description:Â Â This set of files (.img.aux.xml, .img.xml, .img, .rrd) represents a raster of an ensemble model of BTPD habitat potential, under current climate. Resolution: 90m. The data is from Davidson et al. 2023.

File: eensemble_Warmwet_90_HOTR

**Descri...,

This data was used to investigate the invasion of a non-native disease, plague, to a keystone species, prairie dogs, in Conata Basin, South Dakota, United States. We documented the resulting extent of fragmentation and habitat loss in western grasslands using colony boundaries mapped by the USFS every one to three years from 1993 - 2015. Specifically, we assessed how the arrival of plague in 2008, affected the size, shape, and aggregation of prairie dog colonies, an animal species known to be highly susceptible to plague. As expected the colony complex and the patches in colonies became smaller and more fragmented after the arrival of plague; the total area of each colony and the average area per patch within a colony decreased, the number of patches per colony increased, and average contiguity of each patch decreased, leading to habitat fragmentation.

BackgroundRabies virus (RABV; species Lyssavirus rabies) is causing one of the oldest zoonotic diseases known to mankind, leading to fatal encephalomyelitis in animals and humans. Despite the existence of safe and effective vaccines to prevent the disease, an estimated 99% of human rabies deaths worldwide are caused by dog-mediated rabies with children at the highest risk of infection. Rabies has been endemic in Madagascar for over a century, yet there has been little research evaluating local knowledge and practices impacting on the rabies control and prevention. Thus, this study was undertaken to better understand the dog ecology including canine vaccine coverage and to assess knowledge and practices of dog owners and veterinarians.MethodologyA cross-sectional study was conducted among 123 dog-owning households in thirteen fokontanys in Mahajanga from July 4 to September 13, 2016. Single and multi-member dog-owning households in the study area on the day of the interview were eligible for inclusion and purposively selected with the support of a local guide. The survey included a household questionnaire capturing information on the dog’s demographics, husbandry practices, knowledge and practices towards rabies and its control measures; the dog ecology questionnaire collected dog characteristics, vaccination status and husbandry practices. All households that reported a dog bite incident, were invited to participate in a dog bite questionnaire. In addition, direct observations of roaming dogs were conducted to assess dog population demographics and to document behavioural characteristics. Two veterinarians were purposively selected and took part in an interview during the survey period, providing information on rabies control activities, including dog-care practices in the area. Descriptive and inferential data analyses were performed using Epi Info version 7.1.5.0 (CDC Atlanta, USA).ResultsWe recorded a total of 400 dogs, of which 338 (84.5%) were owned amongst 123 households. More than half (67.8%) of owned dogs were between 1 to 5 years old and 95.6% were kept for guarding purposes. 45% of the surveyed dogs had free access to roam outside the premises. The majority (85.4%) of dog owners were knowledgeable that a dog bite could potentially transmit RABV to humans. 19 dog bites were reported and of these 73.6% were caused by the owner’s or a neighbour’s dog. In 6 of the 19 cases, children between 7 and 15 years of age were the victims. Dog vaccination coverage against rabies was 34% among owned dogs. Of the participants aware of a veterinarian, the majority (55/82) indicated that they accessed veterinarian services at irregular intervals. The main obstacles to vaccinations cited by dog owners were limited financial resources and difficulty accessing veterinary care.ConclusionThis study contributes to enhanced understanding of the dog ecology including canine vaccine coverage as well as knowledge and practices of dog owners in Madagascar. Most dogs in the study area were accessible for preventive vaccination through their owners, however only one third of the investigated canine population was vaccinated against rabies. Concerted national efforts towards rabies prevention and control should aim to address financial challenges and access to veterinary services.