Dataset used in the article "Does Visual Stimulation by Photographs of Cats and Dogs Make People Happier and More Optimistic?"ColumnsIDis_preview: true - response by the researcher to check the questionnaire, it should be removedremove: respondent checked that his/her responses are not valid and should not be used in future analysisfinished_proc: percentage of the questionnaire finisheddate_time: filing of the questionnaire started at this timeduration_formatted: duration of the filling of the questionnairebrowserbrowser_versionOS: operating systempriming: true - primed group, false - control groupcat_dog: objects on photos showngenderage: in yerssex_o: attraction to people of the opposite sex (scale 1 - 7)sex_s: attraction to people of the same sex (scale 1 - 7) orientation: computed as the difference of previous twomood: actual mood (scale 0 - 5)condition_phys: physical condition (scale 0 - 5)condition_psych: mental condition (scale 0 - 5)life_quality: life quality (scale 0 - 5)optimism: mean of previous threeoptimism_zskore: z-score of the previous children_own: how many children does respondent havewanted_sons: total number of sons which respondent would like to havewanted_daughters: total number of daughters which respondent would like to havewanted_children: a sum of previous twoliking_dogs: how much respondent likes dogs (scale 1 - 100)present_whenever_dog: respondent has ever kept a dogpresent_now_dog: respondent keeps dog nowpresent_Ndogs: how many dogs does respondent keep now liking_cats: how much respondent likes cats (scale 1 - 100)present_whenever_cat: respondent has ever kept a catpresent_now_cat: respondent keeps cat nowpresent_Ncats: how many cats does respondent keep now

Non†native predators can cause great harm to natural ecosystems through competition for resources and by directly predating on native species. Domestic cats (Felis catus) predate on wild prey throughout the world and have been implicated in a number of species declines. However, in the UK, long†term, widespread research is lacking. The data provided here relate to prey returned home by pet cats in the UK over a total period of 3.5 years (ranging from one month to 3.5 years per cat). These data were collected by cat owners across the UK, noting details of the prey returned home by their cats monthly. Data were gathered upon registration regarding the age, sex, and body condition of participating cats, allowing for the analysis of the potential influence of such factors. While most cats returned 0–1 prey per month, a small minority (n = 3 cats) returned over 15 individuals monthly. It is important that true predation rates (in addition to the return rates found here) are further exp..., , , # Title of Dataset: Quantifying prey return rates of domestic cats in the UK

[Access this dataset on Dryad](DOI: 10.5061/dryad.31zcrjdv9)

Description of the data and file structure

Data are presented in two files: 'Data1_prey' and 'Data2_cats'.

Data1_prey. This file contains details of all prey returned home by the cats monitored (n=553) over a total period of 3.5 years. Cat_ID is a unique identifier for each cat and Prey_ID is as given by owners or as verified by researchers thanks to photographs provided. Taxonomic group is then given, along with whether prey were dead or alive (or not recorded), what happened to the prey which were returned alive (for example, released), and whether returned whole, part-eaten, or witnessed by owners to be eaten. Age and sex were not required, but some participants gave this information in the related 'notes' section of the data return form. As such, there are many 'NA' datapoints for age and sex fields.

Data2_cats. This file contains data re...,

The COVID-19 pandemic presented a host of unique challenges for individuals worldwide, particularly for pet owners, due to widespread shutdowns, social distancing, and financial stress. While pet acquisition increased during this time, the impact on veterinary care access and pet ownership trends remain underexplored. Within the online survey of 751 US residents 79% were pet owners (n = 596). Twenty percent of all pet owners reported difficulty accessing basic veterinary care, such as vaccinations or annual exams. Logit models revealed that having children and working from home increased the likelihood of acquiring a pet during the pandemic. Additionally, owning a pet acquired during the pandemic and managing pets with behavioral issues were associated with greater challenges in accessing veterinary care. These findings highlight unique circumstances during COVID-19 related to pet acquisition and veterinary care, which may be expanded to other situations. A better understanding of these difficulties is essential to develop solutions that protect animal welfare and support the human-animal bond, particularly in times of crisis.

Feature statistics of the available datasets. Features are mostly self-declared and their availability is shown in percentage of all users in each dataset. The location refers to city for iWiW and one of the 188 Slovakian regions for Pokec. Features marked with ‘cat’ are categorical variables and those marked with ‘num’ are numeric variables.

Percentage information on sex, age, and presence or absence of diarrhea in the population of dogs and cats (n = 119) in the neighborhood of Campo Grande, Rio de Janeiro, Brazil.

Vast records of our everyday interests and concerns are being generated by our frequent interactions with the Internet. Here, we investigate how the searches of Google users vary across U.S. states with different birth rates and infant mortality rates. We find that users in states with higher birth rates search for more information about pregnancy, while those in states with lower birth rates search for more information about cats. Similarly, we find that users in states with higher infant mortality rates search for more information about credit, loans and diseases. Our results provide evidence that Internet search data could offer new insight into the concerns of different demographics.

Percentage of households with different types of pets by divisional secretariat division.

COVID-19 pet acquisition, accessibility, and status of pets acquired. Percentage of respondents, n indicated in table. Note multiple selections were allowed.

Peptide sequences were used to search against Genbank or a translated EST library for the identification of specific Cat L proteases. Single amino acids in bold type in MSMS sequences indicate proteomic identification of single amino acid polymorphisms (SAAP) deviating from published sequences and revealed though a translated EST database. Spots with accession numbers as NFD relate to spots where too few peptides were sequenced preventing isoform and sub-clade identification and were consequently not fully designated (NFD), although the clade could be defined. All data for protein identification, such as percentage coverage and search scores, can be seen in Tables S2 and S3.a)Sequences derived from MSMS analysis were interpreted either, automated or manually (where manually interpreted using Masslynx version 3.5 sequences are denoted by a *). Sequenced amino acids that match exactly with those found in the Genbank database or translated EST database are underlined.b)For MSMS spectra from peptides specific to each Cat L isoform see Figures S6, S7, S8, S9, S10, S11.c)Protein accession numbers correspond to those from Genbank.d)If protein spots were identified in vitro or in vivo they are denoted by •, if they are up or down regulated when compared with the other they are denoted with + or − respectively. The percentage contribution of each identified Cat L protease spot compared to the total Cat L proteases calculated using densitometry are in parentheses below the appropriate symbol (•,+ or −).