AndreaBozzo/ceres-open-data-index huggingface dataset:
Elk Home Range - Big Lagoon - 2017-2021 [ds2980]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>The project lead for the collection of this data was Carrington Hilson. Elk (3 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2017-2021. The Big Lagoon herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></span></p><p style='margin:0 0 11 0;'><span><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 3 elk, including 6 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Due to a high variance parameter (greater than 8000), one home range sequence was run with a fixed motion variance of 1000. Large water bodies were clipped from the final output. Home range is visualized as the 50</span></span><span><span>th</span></span><span><span> percentile contour (high use) and the 99</span></span><span><span>th</span></span><span> percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></p></div></div></div>
Elk Home Range - Camp Lincoln - 2017-2021 [ds2981]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>The project lead for the collection of this data was Carrington Hilson. Elk (3 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2017-2021. The Camp Lincoln herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></span></p><p style='margin:0 0 11 0;'><span><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 3 elk, including 4 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Large water bodies were clipped from the final output. Home range is visualized as the 50</span></span><span><span>th</span></span><span><span> percentile contour (high use) and the 99</span></span><span><span>th</span></span><span><span> percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></span></p></div></div></div>
Elk Home Range - CBEC - 2017-2021 [ds2982]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span>The project lead for the collection of this data was Carrington Hilson. Elk (2 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2017-2021. The Crescent Beach Education Center (CBEC) herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></p><p style='margin:0 0 11 0;'><span><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 2 elk, including 5 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Large water bodies were clipped from the final output. Home range is visualized as the 50</span></span><span><span>th</span></span><span><span> percentile contour (high use) and the 99</span></span><span><span>th</span></span><span><span> percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></span></p></div></div></div>
Elk Home Range - Davison - 2017-2021 [ds2983]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>The project lead for the collection of this data was Carrington Hilson. Elk (3 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2017-2021. The Davison herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></span></p><p style='margin:0 0 11 0;'><span><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 3 elk, including 9 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Large water bodies were clipped from the final output. Home range is visualized as the 50</span></span><span><span>th</span></span><span><span> percentile contour (high use) and the 99</span></span><span><span>th</span></span><span><span> percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></span></p></div></div></div>
State Refuges

<div style='text-align:Left;'><div><div><p><span>Boundaries of California State Fish and Game Refuges, Fish Refuges, Game Refuges, Waterfowl Refuges, Quail Refuges, Marine Life Refuges, and Burro Santuary as defined in the Fish and Game Code Division 7 Chapter 2. Special rules of take and possession apply to the areas designated (see Division 7 Chapter 1). </span></p></div></div></div>
California Water Rights LIST (Detail Summary List)

This list includes detail information about every water rights record in the State Water Resources Control Board's "Electronic Water Rights Information Management System" (EWRIMS) database. Each row correspond with a unique application ID and its associated data. The list include basic summary information about the Water Right record, such as the type and status, the location of the Points of Diversion, the amount of water allowed (Face Value), and summary data associated with the electronic Water Right record. This file is in flat file format and may not include all information associated to a water right such all Points of Diversion, all uses and seasons or the amounts reported used for every month. That information may be available in the associated flat files for each category.
Elk Home Range - Elk Creek - 2021 [ds2984]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>The project lead for the collection of this data was Carrington Hilson. Elk (1 adult female) were captured and equipped with GPS collars (Lotek Iridium) transmitting data in 2021. The Elk Creek herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></span></p><p style='margin:0 0 11 0;'><span><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 1 elk, including 1 annual home range sequence, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Large water bodies were clipped from the final output. Home range is visualized as the 50</span></span><span><span>th</span></span><span><span> percentile contour (high use) and the 99</span></span><span><span>th</span></span><span><span> percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></span></p></div></div></div>
Elk Home Range - Ferndale - 2019-2021 [ds2985]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>The project lead for the collection of this data was Carrington Hilson. Elk (1 adult female) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2019-2021. The Ferndale herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></span></p><p style='margin:0 0 11 0;'><span><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 1 elk, including 2 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Large water bodies were clipped from the final output. Home range is visualized as the 50</span></span><span><span>th</span></span><span><span> percentile contour (high use) and the 99</span></span><span><span>th</span></span><span><span> percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></span></p></div></div></div>
Elk Home Range - Gilbert - 2017-2021 [ds2986]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>The project lead for the collection of this data was Carrington Hilson. Elk (4 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2017-2021. The Gilbert herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></span></p><p style='margin:0 0 11 0;'><span><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 3 elk, including 5 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Large water bodies were clipped from the final output. Home range is visualized as the 50</span></span><span><span>th</span></span><span><span> percentile contour (high use) and the 99</span></span><span><span>th</span></span><span><span> percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></span></p></div></div></div>
Elk Home Range - Gold Bluff Beach - 2017-2021 [ds2987]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>The project lead for the collection of this data was Carrington Hilson. Elk (2 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2017-2021. The Gold Bluff Beach herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></span></p><p style='margin:0 0 11 0;'><span><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 2 elk, including 6 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Large water bodies were clipped from the final output. Home range is visualized as the 50</span></span><span><span>th</span></span><span><span> percentile contour (high use) and the 99</span></span><span><span>th</span></span><span><span> percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></span></p></div></div></div>
Elk Home Range - Grizzly-Van Duzen - 2018-2021 [ds2988]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>The project lead for the collection of this data was Carrington Hilson. Elk (4 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2018-2021. The Grizzly-Van Duzen herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></span></p><p style='margin:0 0 11 0;'><span><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 3 elk, including 8 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Large water bodies were clipped from the final output. Home range is visualized as the 50</span></span><span><span>th</span></span><span><span>percentile contour (high use) and the 99</span></span><span><span>th</span></span><span><span>percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></span></p></div></div></div>
Elk Home Range - Jordan - 2020-2021 [ds2989]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>The project lead for the collection of this data was Carrington Hilson. Elk (3 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2020-2021. The Jordan herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></span></p><p style='margin:0 0 11 0;'><span><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 3 elk, including 3 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Large water bodies were clipped from the final output. Home range is visualized as the 50</span></span><span><span>th</span></span><span><span> percentile contour (high use) and the 99</span></span><span><span>th</span></span><span><span> percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></span></p></div></div></div>
Elk Home Range - Mad River - 2018-2021 [ds2990]

<div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span><span>The project lead for the collection of this data was Carrington Hilson. Elk (15 adult females) were captured and equipped with GPS collars (Lotek Iridium) transmitting data from 2018-2021. The Mad River herd does not migrate between traditional summer and winter seasonal ranges. Therefore, annual home ranges were modeled using year-round data to demarcate high use areas in lieu of modeling the specific winter ranges commonly seen in other ungulate analyses in California. GPS locations were fixed between 1-6 hour intervals in the dataset. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual pronghorn is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. </span></span></p><p style='margin:0 0 11 0;'><span><span>The methodology used for this migration analysis allowed for the mapping of the herd’s home range. Brownian bridge movement models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 11 elk, including 23 annual home range sequences, location, date, time, and average location error as inputs in Migration Mapper. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Large water bodies were clipped from the final output. Home range is visualized as the 50</span></span><span><span>th</span></span><span><span> percentile contour (high use) and the 99</span></span><span><span>th</span></span><span><span> percentile contour of the year-round utilization distribution. Home range designations for this herd may expand with a larger sample.</span></span></p></div></div></div>