12 datasets found
  1. U

    United States Cattle Inventory: Cattle & Calves: Cows & Heifers That Have...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Cattle Inventory: Cattle & Calves: Cows & Heifers That Have Calved: At the Beginning of the Yr: Milk Cows [Dataset]. https://www.ceicdata.com/en/united-states/cattle-inventory/cattle-inventory-cattle--calves-cows--heifers-that-have-calved-at-the-beginning-of-the-yr-milk-cows
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2014 - Dec 1, 2025
    Area covered
    United States
    Description

    United States Cattle Inventory: Cattle & Calves: Cows & Heifers That Have Calved: At the Beginning of the Yr: Milk Cows data was reported at 9,349.300 Head th in 2025. This records an increase from the previous number of 9,346.800 Head th for 2024. United States Cattle Inventory: Cattle & Calves: Cows & Heifers That Have Calved: At the Beginning of the Yr: Milk Cows data is updated yearly, averaging 9,349.300 Head th from Dec 1926 (Median) to 2025, with 17 observations. The data reached an all-time high of 9,450.400 Head th in 2021 and a record low of 9,208.600 Head th in 2014. United States Cattle Inventory: Cattle & Calves: Cows & Heifers That Have Calved: At the Beginning of the Yr: Milk Cows data remains active status in CEIC and is reported by Economic Research Service. The data is categorized under Global Database’s United States – Table US.RI018: Cattle Inventory.

  2. Drone images and their annotations of grazing cows

    • zenodo.org
    zip
    Updated Dec 1, 2023
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    Adrien Lebreton; Adrien Lebreton; Louise Helary; Louise Helary (2023). Drone images and their annotations of grazing cows [Dataset]. http://doi.org/10.5281/zenodo.10245396
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    zipAvailable download formats
    Dataset updated
    Dec 1, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Adrien Lebreton; Adrien Lebreton; Louise Helary; Louise Helary
    License

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

    Description

    The dataset is part of the European H2020 project ICAERUS regarding the livestock monitoring use case. More information here : https://icaerus.eu/

    This dataset was built to develop cow detection and counting models using drone images.

    The directory contains the dataset encompasses around 1100 raw .jpeg images from drone (DJI mavic 3 Enterprise or Thermal) of grazing areas where cattle graze collected between June and October 2023.

    The nadir images were collected during flight planned with DJI Pilot 2 at a constant altitude regarding the take-off position.

    Images were taken from altitudes of 30m, 60m and mostly 100m. The Aerial images contain many .exif methadata (drone, camera, altitude etc.).

    There is a strong imbalance between images with "cattle" and image with "no cattle" representative of areas to monitor and weather conditions.

    Data organization :

    The data are organized as first in a directory by farm (Mauron, Derval or Jalogny) where the images were collected and then by a second directory called JPGImages and finally another directory by

    flight planned. Images can be found there.

    Name of the directory of each planned flight is defined such as DJI_YYYYMMDDHHMM_XXX with the date (YYYYMMDD), the hour in UTC+2 (HHMM), and XXX representing a mission number.

    An annotation directory is also present in flight directory and contains label files. The name of the annotation directory depends on the type of the annotation format used

    (for now : PASCAL_VOC1.1 and YOLO_V1). One annotation file referred to an unique image and have the same name except the extension.

    Annotations files contain bounding boxes coordinates produced using CVAT.io. Depending on the using model it can be preferable to use PASCAL_VOC1.1 or YOLO_V1 annotations.

    Other versions of this dataset will be available in 2024. The authors of the dataset are opened to any collaboration regarding animal counting models.

    For more information, please contact: adrien.lebreton@idele.fr

  3. R

    Data on cow activity in relation to health and welfare

    • entrepot.recherche.data.gouv.fr
    tsv
    Updated Jun 6, 2024
    + more versions
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    Romain Lardy; Romain Lardy; Marie-Madeleine Mialon; Marie-Madeleine Mialon; Nicolas Wagner; Nicolas Wagner; Yoan Gaudron; Yoan Gaudron; Bruno Meunier; Bruno Meunier; Karen Helle Sloth; Karen Helle Sloth; Ledoux Dorothée; Ledoux Dorothée; Mathieu Silberberg; Mathieu Silberberg; Alice de Boyer des Roches; Alice de Boyer des Roches; Quentin Ruin; Quentin Ruin; Matthieu Bouchon; Matthieu Bouchon; Carole Cirié; Violaine Antoine; Violaine Antoine; Jonas Koko; Jonas Koko; Isabelle Veissier; Isabelle Veissier; Carole Cirié (2024). Data on cow activity in relation to health and welfare [Dataset]. http://doi.org/10.15454/52J8YS
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    tsv(157249394), tsv(2956295), tsv(391), tsv(7880048), tsv(1892554)Available download formats
    Dataset updated
    Jun 6, 2024
    Dataset provided by
    Recherche Data Gouv
    Authors
    Romain Lardy; Romain Lardy; Marie-Madeleine Mialon; Marie-Madeleine Mialon; Nicolas Wagner; Nicolas Wagner; Yoan Gaudron; Yoan Gaudron; Bruno Meunier; Bruno Meunier; Karen Helle Sloth; Karen Helle Sloth; Ledoux Dorothée; Ledoux Dorothée; Mathieu Silberberg; Mathieu Silberberg; Alice de Boyer des Roches; Alice de Boyer des Roches; Quentin Ruin; Quentin Ruin; Matthieu Bouchon; Matthieu Bouchon; Carole Cirié; Violaine Antoine; Violaine Antoine; Jonas Koko; Jonas Koko; Isabelle Veissier; Isabelle Veissier; Carole Cirié
    License

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

    Description

    This dataset contains hours per hours the activity level of cows on four farms. These data were used in Wagner et al. 2021. The dataset contains 4 files, one for each farm. Files are structured as follows: cow working id; date; hour (integer); the time (s) spent 'walking' during one hour (the cow is positioned 'in alleys'); the time (s) spent 'resting’ during one hour (the cow is in a resting area (typically cubicles)); the time (s) spent 'eating' during one hour (the cow is positioned at the feeding table); the activity level (unitless), which is the weighted sum of the time spent in each activity (with the following weights: -0.23 for resting, +0.16 for in alleys, and +0.42 for eating). Due to the weights, the hourly activity level can range from -828 (i.e. -0.23*3600) to 1512 (i.e. 0.42*3600); finally, for each of the 11 types of events, a boolean is provided, for the question "is there this type of event on this hour ?" (i.e. 1 means this type of event were reported for this hour; 0 means that this type of event were not reported for this hour). Note that in fact daily events are reported here at hourly scale. There are 11 types of events: oestrus; calving; lameness includes all types of lameness and issues on claw or leg; mastitis includes all types of mastitis; Event LPS is specific to experimentation as it is for administered lipopolysaccharide (LPS) in the mammary gland on one day to induce inflammation; Event acidosis stands for subacute ruminal acidosis; Event labelled 'other_disease’, which contains all other diseases such as colic, diarrhea, ketosis, milk fever or other infectious disease; Event accidents contains all types of accidents such as retained placenta or vaginal laceration; Event disturbance is mild intervention on animal (e.g. late feeding, alarm test, animal tied for injection, claw trimming, drying of the cow) and other issues on the day but that did not concerned management changes; Event mixing is for when cows were mixed or moved to another park. Event labelled ‘management_changes’ contains marginal management such as ration changes or bed filling. This event is reported in the dataset, but is not considered as influent on the animal behaviour; A final Boolean sum up the information on whether this hour is considered as normal (i.e. if all the booleans (without considering the management changes one) are equal to 0 then this hour can be considered as normal, then the boolean is set to 1). Dataset 2 was also used in Wagner et al., 2020 https://doi.org/10.1016/j.compag.2020.105233 and in Wagner et al., 2020, https://doi.org/10.1007/978-3-030-59491-6_32

  4. Number of dairy cows

    • ec.europa.eu
    • db.nomics.world
    + more versions
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    Eurostat, Number of dairy cows [Dataset]. http://doi.org/10.2908/TAG00014
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    application/vnd.sdmx.data+csv;version=2.0.0, json, tsv, application/vnd.sdmx.data+xml;version=3.0.0, application/vnd.sdmx.data+csv;version=1.0.0, application/vnd.sdmx.genericdata+xml;version=2.1Available download formats
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Time period covered
    2013 - 2024
    Area covered
    Sweden, Euro area - 19 countries (2015-2022), United Kingdom, Germany, Bulgaria, Latvia, European Union - 27 countries (from 2020), Romania, Estonia, Croatia
    Description

    Expressed in 1000 heads, as reported in the annual livestock survey that is carried out in November/December.

  5. T

    Live Cattle - Price Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 1, 2025
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    TRADING ECONOMICS (2025). Live Cattle - Price Data [Dataset]. https://tradingeconomics.com/commodity/live-cattle
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 2, 1980 - Sep 30, 2025
    Area covered
    World
    Description

    Live Cattle rose to 231.83 USd/Lbs on September 30, 2025, up 0.22% from the previous day. Over the past month, Live Cattle's price has fallen 3.21%, but it is still 25.63% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Live Cattle - values, historical data, forecasts and news - updated on October of 2025.

  6. C

    China CN: Livestock: Number: Cow

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2025). China CN: Livestock: Number: Cow [Dataset]. https://www.ceicdata.com/en/china/number-of-livestock-large-animals-cow/cn-livestock-number-cow
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Agricultural, Fishery and Forestry Production
    Description

    China Livestock: Number: Cow data was reported at 105,085.102 Unit th in 2023. This records an increase from the previous number of 102,158.520 Unit th for 2022. China Livestock: Number: Cow data is updated yearly, averaging 103,974.569 Unit th from Dec 1989 (Median) to 2023, with 35 observations. The data reached an all-time high of 132,060.000 Unit th in 1995 and a record low of 88,344.899 Unit th in 2016. China Livestock: Number: Cow data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Agriculture Sector – Table CN.RID: Number of Livestock: Large Animals: Cow .

  7. g

    USDA, Annual US Cattle Imports and Exports, North America, 2003 - 2008

    • geocommons.com
    Updated May 7, 2008
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    data (2008). USDA, Annual US Cattle Imports and Exports, North America, 2003 - 2008 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    May 7, 2008
    Dataset provided by
    data
    USDA US department of Agriculture
    Description

    This dataset displays the annual import and export figures of cattle to and from the United States. Data is primarily available for Canada and Mexico. These statistics represent the head count of cattle traded.

  8. T

    Beef - Price Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 30, 2025
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    TRADING ECONOMICS (2025). Beef - Price Data [Dataset]. https://tradingeconomics.com/commodity/beef
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 25, 2001 - Sep 29, 2025
    Area covered
    World
    Description

    Beef rose to 303.95 BRL/15KG on September 29, 2025, up 0.33% from the previous day. Over the past month, Beef's price has fallen 2.11%, but it is still 10.79% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Beef - values, historical data, forecasts and news - updated on September of 2025.

  9. f

    Table_1_Prevalence of bovine viral diarrhea virus in cattle between 2010 and...

    • frontiersin.figshare.com
    docx
    Updated Jun 11, 2023
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    Nuo Su; Qi Wang; Hong-Ying Liu; Lian-Min Li; Tian Tian; Ji-Ying Yin; Wei Zheng; Qing-Xia Ma; Ting-Ting Wang; Ting Li; Tie-Lin Yang; Jian-Ming Li; Nai-Chao Diao; Kun Shi; Rui Du (2023). Table_1_Prevalence of bovine viral diarrhea virus in cattle between 2010 and 2021: A global systematic review and meta-analysis.docx [Dataset]. http://doi.org/10.3389/fvets.2022.1086180.s001
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    docxAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    Frontiers
    Authors
    Nuo Su; Qi Wang; Hong-Ying Liu; Lian-Min Li; Tian Tian; Ji-Ying Yin; Wei Zheng; Qing-Xia Ma; Ting-Ting Wang; Ting Li; Tie-Lin Yang; Jian-Ming Li; Nai-Chao Diao; Kun Shi; Rui Du
    License

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

    Description

    BackgroundBovine viral diarrhea is one of the diseases that cause huge economic losses in animal husbandry. Many countries or regions have successively introduced eradication plans, but BVDV still has a high prevalence in the world. This meta-analysis aims to investigate the prevalence and risk factors of BVDV in the world in recent 10 years, and is expected to provide some reference and theoretical basis for BVDV control plans in different regions.MethodRelevant articles published from 2010 to 2021 were mainly retrieved from NCBI, ScienceDirect, Chongqing VIP, Chinese web of knowledge (CNKI), web of science and Wanfang databases.Results128 data were used to analyze the prevalence of BVDV from 2010 to 2021. BVDV antigen prevalence rate is 15.74% (95% CI: 11.35–20.68), antibody prevalence rate is 42.77% (95% CI: 37.01–48.63). In the two databases of antigen and antibody, regions, sampling time, samples, detection methods, species, health status, age, sex, breeding mode, and seasonal subgroups were discussed and analyzed, respectively. In the antigen database, the prevalence of dairy cows in the breed subgroup, ELISA in the detection method subgroup, ear tissue in the sample subgroup, and extensive breeding in the breeding mode were the lowest, with significant differences. In the antibody database, the prevalence rate of dairy cows in the breed subgroup and intensive farming was the highest, with a significant difference. The subgroups in the remaining two databases were not significantly different.ConclusionThis meta-analysis determined the prevalence of BVDV in global cattle herds from 2010 to 2021. The prevalence of BVDV varies from region to region, and the situation is still not optimistic. In daily feeding, we should pay attention to the rigorous and comprehensive management to minimize the spread of virus. The government should enforce BVDV prevention and control, implement control or eradication policies according to local conditions, and adjust the policies in time.

  10. f

    Data_Sheet_1_Prevalence and risk factors of Klebsiella spp. in milk samples...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Mar 22, 2023
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    Yang, Qizhu; Gong, Qinglong; Tian, Tian; Xiang, Wentao; Du, Rui; Ge, Guiyang; Yin, Jiying; Diao, Naichao; Liu, Fei; Li, Jianming; Wang, Qi; Song, Jinming; Cai, Ruopeng; Shi, Kun; Zhang, Meng (2023). Data_Sheet_1_Prevalence and risk factors of Klebsiella spp. in milk samples from dairy cows with mastitis—A global systematic review.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000990670
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    Dataset updated
    Mar 22, 2023
    Authors
    Yang, Qizhu; Gong, Qinglong; Tian, Tian; Xiang, Wentao; Du, Rui; Ge, Guiyang; Yin, Jiying; Diao, Naichao; Liu, Fei; Li, Jianming; Wang, Qi; Song, Jinming; Cai, Ruopeng; Shi, Kun; Zhang, Meng
    Description

    IntroductionThe overall prevalence of Klebsiella spp., a group of important zoonotic pathogens, in the global dairy herds and the risk of cross-species transmission between humans and dairy cows remain to be clarified. This systematic review aimed to determine the prevalence of Klebsiella spp. in milk samples from dairy cows with mastitis worldwide and to assess the factors influencing the prevalence of these strains.MethodsQualified studies published from 2007 to 2021 were retrieved from ScienceDirect, Web of Science, PubMed, WanFang Database, China National Knowledge Infrastructure (CNKI), and VIP Chinese Journal Database. Calculations of prevalence and their 95% confidence intervals (CIs) were performed for all the studies using the Freeman-Tukey double arcsine transformation (PFT).ResultsA total of 79,852 milk samples from 55 manuscripts were examined in this meta-analysis, and 2,478 samples were found to be positive for Klebsiella spp. The pooled prevalence estimates worldwide were 7.95% (95% CI: 6.07%–10.06%), with significant heterogeneity (I2 = 98.8%, p = 0). The sampling period of 2013–2020 had a higher (p < 0.05) Klebsiella-positive proportion of milk samples (12.16%, 95% CI: 8.08%–16.90%) than that of 2007–2012 (3.85%, 95% CI: 2.67%–5.21%), indicating that bovine mastitis caused by Klebsiella may become increasingly prevalent. The risk factors for the high prevalence of Klebsiella in milk samples mainly included: economic development level (developing countries; 11.76%, 95% CI: 8.25%–15.77%), mastitis type (CM; 11.99%, 95% CI: 8.62%–15.79%), and population density (>500 per sq km; 10.28%, 95% CI: 2.73%–21.58%). Additionally, a bivariate meta-regression analysis revealed that the multidrug-resistance (MDR) rate of the epidemic strains was also closely related to economic development level (R2 = 78.87%) and population density (R2 = 87.51%).DiscussionDue to the potential risk of cross-species transmission between humans and cows, the prevalence of mastitis milk-derived Klebsiella and its high MDR rate need to be monitored, especially in developing countries with high population densities.

  11. f

    Table_1_Impact of a Regulation Restricting Critical Antimicrobial Usage on...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated Jun 1, 2023
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    Maud de Lagarde; John M. Fairbrother; Marie Archambault; Simon Dufour; David Francoz; Jonathan Massé; Hélène Lardé; Cécile Aenishaenslin; Marie-Ève Paradis; Jean-Philippe Roy (2023). Table_1_Impact of a Regulation Restricting Critical Antimicrobial Usage on Prevalence of Antimicrobial Resistance in Escherichia coli Isolates From Fecal and Manure Pit Samples on Dairy Farms in Québec, Canada.XLSX [Dataset]. http://doi.org/10.3389/fvets.2022.838498.s005
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    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Maud de Lagarde; John M. Fairbrother; Marie Archambault; Simon Dufour; David Francoz; Jonathan Massé; Hélène Lardé; Cécile Aenishaenslin; Marie-Ève Paradis; Jean-Philippe Roy
    License

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

    Area covered
    Canada
    Description

    To tackle antimicrobial resistance (AMR), one of the major health threats of this century, the World Health Organization (WHO) endorsed a global action plan in 2015. This plan calls countries to develop national actions to address AMR. The province of Québec, Canada, adopted a new regulation on the 25th of February 2019, to limit the use in food animals of antimicrobials of very high importance in human medicine. We aimed to establish the impact of this regulation by comparing the AMR situation in dairy cattle in Québec ~2 years before and 2 years after its introduction. We sampled calves, cows, and the manure pit in 87 farms. Generic and putative ESBL/AmpC E. coli were tested for susceptibility to 20 antimicrobials. Logistic regression was used to investigate whether the probability of antimicrobial resistance differed between isolates obtained from the pre and post regulation periods by sample type (calves, cows, manure pit) and in general. To identify AMR genes dissemination mechanisms, we sequenced the whole genome of 15 generic isolates. In the generic collection, at the herd level, the proportion of multidrug resistant (MDR) isolates, decreased significantly from 83 to 71% (p = 0.05). Folate inhibitor and aminoglycoside resistances demonstrated a significant decrease. However, when analyzed by sample type (calves, cows, manure pit), we did not observe a significant AMR decrease in any of these categories. In the ESBL/AmpC collection, we did not detect any significant difference between the two periods. Also, the general resistance gene profile was similar pre and post regulation. We identified both clonal and plasmidic dissemination of resistance genes. In conclusion, as early as 2 years post regulation implementation, we observed a significant decrease in MDR in the dairy industry in Quebec in the generic E. coli collection with folate inhibitor and aminoglycoside resistances showing the most significant decrease. No other significant decreases were yet observed.

  12. Antarctic Fur Seal Populations on Heard Island Summer 1987-1988

    • data.aad.gov.au
    • researchdata.edu.au
    • +1more
    Updated Oct 7, 1999
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    GOLDSWORTHY, SIMON (1999). Antarctic Fur Seal Populations on Heard Island Summer 1987-1988 [Dataset]. http://doi.org/10.26179/fdqh-cd64
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    Dataset updated
    Oct 7, 1999
    Dataset provided by
    Australian Antarctic Divisionhttps://www.antarctica.gov.au/
    Australian Antarctic Data Centre
    Authors
    GOLDSWORTHY, SIMON
    License

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

    Time period covered
    Nov 25, 1987 - Feb 25, 1988
    Area covered
    Description

    Abstract from ANARE Research Notes 72 The Antarctic fur seal Arctocephalus gazella has increased in numbers at Heard Island since the Australian National Antarctic Research Expeditions (ANARE) station was established in 1947. Increases have also been recorded at other breeding sites in the South Atlantic and South Indian Oceans this century, particularly at South Georgia.

    In the 1987-88 summer, fur seals at Heard Island were counted in several age and sex categories. The aims of the project were to determine the location of pupping sites, the extent of the pupping season and the size of the population, and to record the changes in numbers of animals ashore during the summer. Maps of the colonies and main haul-out areas, together with descriptions of census areas and tabulations of counts, provide a basis for future comparison.

    This dataset contains the results from surveys of Antarctic Fur Seals (Arctocephalus gazella) on Heard Island during the summer of 1987-1988. As well as habitat descriptions, age, sex, count of adults and pups were determined. The three major aims of the study include: to determine accurately the location of pupping sites; to determine the extent of the pupping season, the median date of birth and the number of pups born; and to census fur seals on as much of the island as possible in order to determine the number of animals ashore and to document changes in numbers during the summer. The results are listed in the document, which includes detailed tabulations of counts made at colonies and major haul-out sites on Macquarie Island during summer 1987-88, and descriptions and maps of these locations. Tagging, mainly of pups, was also undertaken, and a total of 234 pups, 8 under-yearlings, 9 yearlings, 2 juveniles and 1 sub-adult male were tagged. Counts at 3-day intervals (pups) were made between 25 November and 19 December 1987, and major censuses were made between 19 December 1987 and 25 February 1988.

    The fields in this dataset are: Locality Age Class Date Colony Bulls Cows Pups

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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CEICdata.com (2025). United States Cattle Inventory: Cattle & Calves: Cows & Heifers That Have Calved: At the Beginning of the Yr: Milk Cows [Dataset]. https://www.ceicdata.com/en/united-states/cattle-inventory/cattle-inventory-cattle--calves-cows--heifers-that-have-calved-at-the-beginning-of-the-yr-milk-cows

United States Cattle Inventory: Cattle & Calves: Cows & Heifers That Have Calved: At the Beginning of the Yr: Milk Cows

Explore at:
Dataset updated
Feb 15, 2025
Dataset provided by
CEICdata.com
License

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

Time period covered
Dec 1, 2014 - Dec 1, 2025
Area covered
United States
Description

United States Cattle Inventory: Cattle & Calves: Cows & Heifers That Have Calved: At the Beginning of the Yr: Milk Cows data was reported at 9,349.300 Head th in 2025. This records an increase from the previous number of 9,346.800 Head th for 2024. United States Cattle Inventory: Cattle & Calves: Cows & Heifers That Have Calved: At the Beginning of the Yr: Milk Cows data is updated yearly, averaging 9,349.300 Head th from Dec 1926 (Median) to 2025, with 17 observations. The data reached an all-time high of 9,450.400 Head th in 2021 and a record low of 9,208.600 Head th in 2014. United States Cattle Inventory: Cattle & Calves: Cows & Heifers That Have Calved: At the Beginning of the Yr: Milk Cows data remains active status in CEIC and is reported by Economic Research Service. The data is categorized under Global Database’s United States – Table US.RI018: Cattle Inventory.

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