StreamCat currently contains over 600 metrics that include local catchment (Cat), watershed (Ws), and special metrics. The special metrics were derived through modeling or by combining other StreamCat metrics. These variables include predicted water temperature, predicted biological condition, and the indexes of catchment and watershed integrity. See Geospatial Framework and Terms below for definitions of catchment and watershed as used with the StreamCat Dataset. These metrics are available for ~2.65 million stream segments and their associated catchments across the conterminous US. StreamCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.

This layer contains the EPA approved final overall Integrated Report or 305(b) list category for all named streams in North Carolina. This data was originally developed by Cam McNutt and uploaded 2/12/2015. The purpose of this layer is to show the overall IR category and basic stream information as related to Assessment Units. Individual parameter categories can be found in the DWR 2014 IR Parameter Cat layer.Attributes:AU_Number (assessment unit)AU Name (stream name)AU Descrip (stream segment description)NC Basin (river basin acronym)AU Lengtha (segment length)AU Units (units of length)AU Type (C - Creek, S - Stream, R - River)BIMS Index (Index number)BIMS Class (fresh water stream classification)Mainstem_N (Drains to this mainstem)OIRC (Overall Integrated Report Category)Subbasin (8-Digit Subbasin Name)Data Contact: Cam McNuttLayer Contact: Melanie WilliamsThis feature layer can be found in the NC Surface Water Classification map application.

StreamCat currently contains over 600 metrics that include local catchment (Cat), watershed (Ws), and special metrics. The special metrics were derived through modeling or by combining other StreamCat metrics. These variables include predicted water temperature, predicted biological condition, and the indexes of catchment and watershed integrity. See Geospatial Framework and Terms below for definitions of catchment and watershed as used with the StreamCat Dataset. These metrics are available for ~2.65 million stream segments and their associated catchments across the conterminous US. StreamCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.

This tabular data set represents select basin characteristics compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. The select variables in this data set are parsed out into six different file themes as follows: BASIN_CHAR_XXX_CONUS.txt (where XXX is CAT flowline catchment value, ACC is divergence routed accumulated value, and TOT is total upstream routed accumulated value) contains information on stream slope (percent rise, also referred to as the percent slope), basin slope (percent rise, also referred to as the percent slope), basin area, minimum basin elevation, maximum basin elevation, mean basin elevation, and stream length. RDX_CONUS.txt contains information on road and stream crossings. ROAD_DENS_XXX_CONUS.txt (where XXX is CAT flowline catchment value, ACC is divergence routed accumulated value, and TOT is t ...

StreamCat currently contains over 600 metrics that include local catchment (Cat), watershed (Ws), and special metrics. The special metrics were derived through modeling or by combining other StreamCat metrics. These variables include predicted water temperature, predicted biological condition, and the indexes of catchment and watershed integrity. See Geospatial Framework and Terms below for definitions of catchment and watershed as used with the StreamCat Dataset. These metrics are available for ~2.65 million stream segments and their associated catchments across the conterminous US. StreamCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

StreamCat currently contains over 600 metrics that include local catchment (Cat), watershed (Ws), and special metrics. The special metrics were derived through modeling or by combining other StreamCat metrics. These variables include predicted water temperature, predicted biological condition, and the indexes of catchment and watershed integrity. See Geospatial Framework and Terms below for definitions of catchment and watershed as used with the StreamCat Dataset. These metrics are available for ~2.65 million stream segments and their associated catchments across the conterminous US. StreamCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.

This dataset lists and summarizes all 161 articles that we used to write a review on the effects of fire on stream ecosystems. First we characterize each article in terms of country, biome, fire regime, stream size, stream slope, land use and cover, time since fire, study design, replication, indicators measured, etc. Then, we summarize the information extracted from the articles that measured biological stream endpoints and that we used to quantify and model the responses of different biological endpoints (namely benthic invertebrates, fish, periphyton and functional indicators) to fire.

Abstract

This dataset, composed of 440 sounds, contains meows emitted by cats in different contexts. Specifically, 21 cats belonging to 2 breeds (Maine Coon and European Shorthair) have been repeatedly exposed to three different stimuli that were expected to induce the emission of meows:

1. Brushing - Cats were brushed by their owners in their home environment for a maximum of 5 minutes;
2. Isolation in an unfamiliar environment - Cats were transferred by their owners into an unfamiliar environment (e.g., a room in a different apartment or an office). Distance was minimized and the usual transportation routine was adopted so as to avoid discomfort to animals. The journey lasted less than 30 minutes and cats were allowed 30 minutes with their owners to recover from transportation, before being isolated in the unfamiliar environment, where they stayed alone for maximum 5 minutes;
3. Waiting for food - The owner started the routine operations that preceded food delivery in the usual environment the cat was familiar with. Food was given at most 5 minutes after the beginning of the experiment.

The dataset has been produced and employed in the context of an interdepartmental project of the University of Milan (for further information, please refer to this doi). The content of the dataset has been described in detail in a scientific work currently under review; the reference will be provided as soon as the paper is published.

File naming conventions

Files containing meows are in the dataset.zip archive. They are PCM streams (.wav).
Naming conventions follow the pattern C_NNNNN_BB_SS_OOOOO_RXX, which has to be exploded as follows:

• C = emission context (values: B = brushing; F = waiting for food; I: isolation in an unfamiliar environment);
• NNNNN = cat’s unique ID;
• BB = breed (values: MC = Maine Coon; EU: European Shorthair);
• SS = sex (values: FI = female, intact; FN: female, neutered; MI: male, intact; MN: male, neutered);
• OOOOO = cat owner’s unique ID;
• R = recording session (values: 1, 2 or 3)
• XX = vocalization counter (values: 01..99)

Extra content

The extra.zip archive contains excluded recordings (sounds other than meows emitted by cats) and uncut sequences of close vocalizations.

Terms of use

The dataset is open access for scientific research and non-commercial purposes.

The authors require to acknowledge their work and, in case of scientific publication, to cite the most suitable reference among the following entries:

Ntalampiras, S., Ludovico, L.A., Presti, G., Prato Previde, E., Battini, M., Cannas, S., Palestrini, C., Mattiello, S.: Automatic Classification of Cat Vocalizations Emitted in Different Contexts. Animals, vol. 9(8), pp. 543.1–543.14. MDPI (2019).
ISSN: 2076-2615

Ludovico, L.A., Ntalampiras, S., Presti, G., Cannas, S., Battini, M., Mattiello, S.: CatMeows: A Publicly-Available Dataset of Cat Vocalizations. In: Li, X., Lokoč, J., Mezaris, V., Patras, I., Schoeffmann, K., Skopal, T., Vrochidis, S. (eds.) MultiMedia Modeling. 27th International Conference, MMM 2021, Prague, Czech Republic, June 22–24, 2021, Proceedings, Part II, LNCS, vol. 12573, pp. 230–243. Springer International Publishing, Cham (2021).
ISBN: 978-3-030-67834-0 (print), 978-3-030-67835-7 (online)
ISSN: 0302-9743 (print), 1611-3349 (online)

The statistic shows the cat products purchased by consumers online in the last 12 months in the United States in 2018. During the survey, approximately 43 percent of cat owners reported buying dry pet food online in the preceding 12 months.

Dogs and Cats Online Data 2023-2024

Dogs and Cats Online Data 2022-2023

DescriptionThis layer contains the detailed Integrated Report or 305(b) list with categories for each parameter for all named streams in North Carolina. This data was originally developed by Cam McNutt and uploaded March 5, 2015. The purpose of this layer is to show the IR category for each parameter and basic stream information as related to Assessment Units. Overall categories can be found in the DWR 2014 Integrated Report Overall Cat. layer.Attributes:tq_X014_AU: Assessment Unit (AU)tq_AU NAME: Stream Nametq_OIRC: Overall Category for that AUtq_BIMS_CL: Stream Classificationtq_IRC: Parameter Categorytq_POI_LON: Parameter Nametq_COLLECT: Data Collection Date (if ambient data that was collected over the last 5 years, this date is the last year of collection)tq_ASMNT_D: Internal Usetq_ASMNT_S: Internal Usetq_X03DYR: Year the segment was placed on the 303(d) listACSStatus: Category Status (Meets Criteria, Data Inconclusive, Exceeds Criteria)FullIRList: Link to the full Integrated Report PDFCatDescrip: Link to a document defining each categoryData Contact: Cam McNuttLayer Contact: Melanie Williams

Between August and September 2020, over **** million zloty worth of cat products were sold on the Polish marketplace Allegro. The average value of an online purchase was nearly ** zloty.

StreamCat currently contains over 600 metrics that include local catchment (Cat), watershed (Ws), and special metrics. The special metrics were derived through modeling or by combining other StreamCat metrics. These variables include predicted water temperature, predicted biological condition, and the indexes of catchment and watershed integrity. See Geospatial Framework and Terms below for definitions of catchment and watershed as used with the StreamCat Dataset. These metrics are available for ~2.65 million stream segments and their associated catchments across the conterminous US. StreamCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.

The global cat wet food market is a dynamic and expanding sector, projected to experience significant growth over the forecast period (2025-2033). While precise figures for market size and CAGR are absent from the provided data, reasonable estimations can be made based on industry trends. Considering the increasing pet ownership globally, coupled with a rising preference for convenient and nutritionally complete wet food options among cat owners, a conservative estimate for the 2025 market size would be around $15 billion USD. A plausible CAGR for the forecast period, factoring in both growth and potential market saturation, could range from 5% to 7%. Key drivers include the increasing humanization of pets, leading to premiumization of pet food choices and a greater focus on health and nutrition. The growing availability of diverse flavors (fish, chicken, and others) and formulations catering to specific dietary needs further fuels market expansion. Online retail channels are experiencing rapid growth, contributing significantly to market accessibility and convenience for consumers. However, fluctuations in raw material prices and economic downturns represent potential restraints. The market segmentation by application (online vs. offline retail) and flavor type offers opportunities for targeted marketing and product development. Leading players such as Mars, Nestle Purina, and others are investing heavily in research and development, introducing innovative products to meet evolving consumer demands and maintain a competitive edge. Market segmentation reveals a strong preference for fish and chicken flavors, indicating a substantial opportunity for manufacturers to innovate within these categories. Regional differences exist, with North America and Europe currently dominating the market due to higher pet ownership rates and disposable incomes. However, emerging markets in Asia Pacific, particularly China and India, present significant untapped potential for growth as pet ownership continues its upward trajectory. Future market success will hinge on a focus on product quality, sustainable sourcing practices, and effective marketing strategies targeting specific consumer segments. The expanding online retail sector demands a strong e-commerce presence for optimal market penetration. Strategic partnerships, mergers and acquisitions within the industry are expected, leading to increased consolidation.

The global cat laser collar market, valued at $306 million in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 4.5% from 2025 to 2033. This growth is fueled by several key market drivers. The increasing pet humanization trend, where pets are increasingly treated as family members, leads to higher spending on pet products enhancing their well-being and entertainment. Technological advancements in laser collar technology, including longer battery life, improved safety features (preventing accidental eye exposure), and interactive app integration for personalized play sessions, are significantly boosting market appeal. The rising popularity of online pet product sales channels provides convenient access for pet owners, contributing to market expansion. Furthermore, the growing awareness of the importance of physical and mental stimulation for cats, particularly indoor cats, is driving demand for innovative products like laser collars that provide engaging play opportunities. The market is segmented by battery type (battery-powered, rechargeable) and sales channel (online, offline), reflecting varied consumer preferences and purchasing behaviors. However, market growth faces certain restraints. Concerns regarding potential eye injuries, although mitigated by improved safety designs, remain a factor influencing consumer purchasing decisions. Price sensitivity, particularly in developing economies, could limit market penetration. The presence of substitute products, like traditional toys and interactive games, also poses a challenge to the laser collar market. Nevertheless, ongoing innovation and marketing strategies focusing on product safety and the enrichment benefits for feline health will likely help overcome these restraints and drive sustained market growth. The regional breakdown suggests North America and Europe currently hold substantial market shares, but rapid growth is anticipated in the Asia-Pacific region, fueled by increasing pet ownership and disposable income. The competitive landscape is dynamic, with numerous established and emerging players vying for market dominance through product differentiation, strategic partnerships, and expansion into new markets.

The global market for environmentally protective deodorant cat litter is experiencing robust growth, driven by increasing pet ownership, heightened consumer awareness of environmental sustainability, and a rising preference for odor-control solutions. This market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching an estimated value of $4.5 billion by 2033. This growth is fueled by several key factors. Firstly, the increasing urbanization and pet humanization trends globally contribute significantly to rising demand for convenient and effective cat litter solutions. Secondly, consumers are actively seeking eco-friendly alternatives, leading to increased adoption of biodegradable and plant-based litters. Furthermore, advancements in odor-eliminating technology within environmentally conscious brands are further stimulating market expansion. Key players like Clorox, Nestle, and Church & Dwight are strategically investing in research and development to offer innovative products that meet the evolving demands of environmentally conscious pet owners. The market is segmented based on product type (e.g., clumping, non-clumping, biodegradable), material composition (e.g., clay, silica gel, plant-based), and distribution channel (e.g., online, offline retail). While the market faces challenges such as fluctuations in raw material prices and the potential for substitute products, the strong underlying growth drivers are expected to outweigh these restraints, ensuring sustained market expansion. The competitive landscape is marked by the presence of both established players and emerging brands. Established companies leverage their strong brand reputation and extensive distribution networks to maintain market share, while smaller players are focusing on innovation and niche market penetration. Regional variations exist, with North America and Europe currently holding a significant share of the market due to higher pet ownership and stronger environmental consciousness. However, the Asia-Pacific region is expected to exhibit substantial growth over the forecast period, driven by increasing disposable incomes and rising pet ownership rates in developing economies. The ongoing trend towards premiumization in the pet care sector, with consumers willing to pay a premium for high-quality and environmentally friendly products, further underpins the positive outlook for the environmental protection deodorant cat litter market.

The global plastic cat litter box market is experiencing robust growth, driven by increasing pet ownership, particularly in urban areas, and a rising preference for convenient and hygienic litter management solutions. The market is segmented by product type (electric and ordinary) and sales channel (online and offline). Electric cat litter boxes, while currently a smaller segment, are exhibiting significant growth due to their automated cleaning features and appeal to busy pet owners. This segment is expected to contribute significantly to the overall market expansion in the coming years. The rising popularity of online pet supplies retail channels provides a further impetus to market growth, offering ease and convenience to consumers. While the market faces restraints such as concerns about plastic waste and the relatively higher cost of electric models compared to traditional litter boxes, these are partially offset by the increasing disposable income of pet owners and the availability of diverse pricing options catering to different budgets. Key players in this market are constantly innovating, introducing new features and designs to enhance product appeal and functionality, leading to a competitive and dynamic landscape. Geographic regions with high pet ownership rates, such as North America and Europe, currently dominate the market, but Asia Pacific is expected to witness substantial growth potential due to increasing pet adoption and rising urbanization. The forecast period (2025-2033) anticipates continued market expansion, fuelled by the ongoing trends mentioned above. The market’s CAGR (let's assume a conservative 5% based on general pet product market growth) indicates a steady increase in market value. The historical period (2019-2024) likely saw lower growth, with the base year (2025) setting a foundation for accelerated expansion due to post-pandemic trends and a more mature market understanding. The breakdown between online and offline sales, and the relative market share of electric versus ordinary litter boxes, are crucial factors shaping the overall market trajectory. Companies are increasingly focusing on sustainable materials and eco-friendly manufacturing processes to address environmental concerns. The regional differences in market size reflect varying pet ownership rates, economic conditions, and consumer preferences.

This script will go through an entire ArcGIS Online Organization or a Portal Organization and look through all of the Items. Then, this script will check the all of the parameters of all of the Items. Then all of the parameters will be written to a csv file. The csv file can then be used to aid the administrator in the cleanup of the Items within the Organization. This is a Jupyter Notebook written using the ArcGIS Python API.Submitted By: Joe Guzi