Survey123 for ArcGIS is a simple and intuitive form-centric field data gathering solution. This seminar teaches you about Survey123. The presenters demonstrate how to create both simple and more sophisticated surveys, collect data over the web and in the field, analyze and view the survey results with Survey123's reporting capabilities, and how survey data is integrated with the ArcGIS platform.This seminar was developed to support the following:Survey123 for ArcGIS

The Division of Birds houses the third largest scientific bird collection in the United States. The main collection contains over 480,000 specimens, including 600 holotypes, 70,000 skeletons, and 7,000 fluid specimens. In addition, the division houses 21,000 egg sets and 200 nests. The scope of the collection is world-wide; all bird families but one are represented, as are 90% of the world's genera and species. Included among its many historically and scientifically valuable individual collections are the H. B. Conover Game Bird Collection, Good's and Van Someren's African collections, C. B. Cory's West Indian collection, the Bishop Collection of North American birds, a large portion of W. Koelz's material from India and the Middle East, and many separate collections from South America, Africa (Hoogstraal from Egypt) and the Philippines (Rabor).

Guide for field data collection using NPS web maps. 2023 version.

A total of 264 unique turtle shells were observed in the dataset, based on the unique turtle IDs. Dataset Overview: This dataset contain information about various turtle sightings, with each entry detailing the image file and associated metadata for each turtle sighting. The dataset includes the following fields: index: An identifier for each row or entry in the dataset (appears to be auto-generated). photoname: The filename of the photo taken of the turtle, including the date and description of the image (e.g., carapace photos). turtle_ID: A unique identifier for each turtle, possibly denoting a tag or observation number. year: The year when the photo was taken. month: The month when the photo was taken. day: The day when the photo was taken. Summary of Data: The dataset provides a chronological record of turtles identified through their respective photos. The filenames in the photoname column indicate the type of image (e.g., carapace), and the corresponding turtle ID and date are embedded within the filename. The dataset spans multiple years (e.g., 2019, 2020, 2023), providing longitudinal information about turtle sightings or tracking.

This dataset contains soil moisture sampling protocols and calibration algorithms for Campbell Scientific Hydrosense-I and II units used at burned and unburned sites in the ABoVE project domain. The soil moisture sampling protocols document provides guidance for sampling in situ soil moisture to relate to synthetic aperture radar (SAR) data collections. Two additional documents describe algorithms for calibrating handheld Hydrosense units used to measure volumetric water content in soils. One calibration document applies to organic soils in fire-affected sites of the Northwest Territories and Alaska. A second document provides calibrations for samples collected in non-burned tundra, boreal bog, fen, upland deciduous and conifer sites located in Alberta and tundra sites in Alaska. The information is provided in portable document format (PDF).

Established in 1894, The Field Museum fish collection now contains more than 1,700,000 specimens, 130,000 lots, 10,000 species, 4,500 tissuesamples, 3,500 skeletons, 1,400 nominal types, and 450 families. Specimens range from the lobe-finned Coelacanth and lungfishes, to a diversity of freshwater catfishes and cichlids, to charismatic reef fishes such as the amazing Slingjaw Wrasse and venomous Red Lionfish.

The global field data collection software market is experiencing robust growth, driven by increasing adoption across diverse sectors like construction, oil & gas, and environmental management. The market's expansion is fueled by several key factors. Firstly, the rising need for real-time data capture and analysis to enhance operational efficiency and decision-making is a major catalyst. Secondly, advancements in mobile technology and cloud computing are enabling the development of more sophisticated and user-friendly field data collection applications. Thirdly, the growing demand for improved safety and compliance across various industries is boosting the adoption of these solutions to manage safety protocols and track regulatory compliance. The market is segmented by application (environmental, construction, oil & gas, transportation, mining, others) and deployment type (cloud-based, on-premises). Cloud-based solutions are witnessing faster growth due to their scalability, accessibility, and cost-effectiveness. While North America currently holds a significant market share, regions like Asia-Pacific are showing promising growth potential driven by rapid industrialization and infrastructure development. Competition is intense, with established players like SafetyCulture and ArcGIS vying for market share alongside emerging technology providers. However, challenges remain, including data security concerns, integration complexities with existing systems, and the need for robust training and support to ensure widespread user adoption. The projected Compound Annual Growth Rate (CAGR) suggests a significant expansion of the market over the forecast period (2025-2033). While precise figures are unavailable, based on industry analysis and considering a conservative estimate, the market size in 2025 is likely around $5 billion, reaching approximately $8 billion by 2033. This growth trajectory is fueled by the increasing digitization of field operations, rising demand for data-driven insights, and the ongoing development of innovative features in field data collection software, including advanced analytics, AI-powered automation, and improved integration with other enterprise systems. The on-premises segment is expected to experience steady growth, although cloud-based deployments will likely dominate the market share in the long term due to their inherent flexibility and scalability advantages. The continued expansion of the market across various geographic regions points towards a bright future for this technology.

description: The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. ACES researchers in August 2002 conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, it allowed scientists to collect cloud electrification data for the first time from above the storm from it's birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely, and testing new aircraft technology. This dataset consists of data from the Electric Field Mills which yield information about the atmospheric electrical fields above the instruments.; abstract: The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. ACES researchers in August 2002 conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, it allowed scientists to collect cloud electrification data for the first time from above the storm from it's birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely, and testing new aircraft technology. This dataset consists of data from the Electric Field Mills which yield information about the atmospheric electrical fields above the instruments.

Discharge measurements from field-based surveys

Market Overview The global Field Data Collection Software market has witnessed tremendous growth in recent years, driven by the increasing demand for real-time data collection and analysis. The market size was estimated to be XXX million in 2025 and is projected to grow at a CAGR of XX% from 2025 to 2033. Key growth drivers include the rising adoption of mobile devices and cloud-based platforms, the need for improved safety and compliance, and the increasing complexity of field operations. Segmentation and Regional Analysis The market is segmented by deployment type (cloud-based and on-premises) and application (environmental, construction, oil and gas, transportation, mining, and others). The environmental segment held the largest market share in 2025, driven by the growing need for environmental monitoring and compliance. Geographically, North America and Europe are the dominant markets, followed by Asia Pacific and the Middle East & Africa. The market in Asia Pacific is expected to witness significant growth in the coming years due to the rapidly expanding construction and mining industries.

North American beavers (Castor canadensis) are “ecosystem engineers” whose dam building can transform streams and floodplains, facilitate riparian plant communities, and create habitat for species such as salmon. To restore beaver populations and these ecosystem functions, we must identify suitable sites for beaver. Abundant woody plants, including species beaver prefer, are necessary to attract and sustain beaver occupancy at a given site. In this lesson, students explore a field site, develop hypotheses about beaver vegetation preferences, and then test their hypotheses with a brief field survey. Students learn to identify beaver sign, practice woody plant identification, and make field measurements such as tree diameter at breast height. Ideally, this lesson is taught at a site with recent beaver activity, but it can be adapted to assess suitability of sites with historical populations or potential for future beaver restoration. The lesson was designed for upper-level undergraduates, but could be adapted for lower-level college or even high school students. This lesson requires a minimum of 2 hours and ideally 3 hours to collect field data, with the option of additional pre-class readings and post-class assessments.

Field data collection was conducted for the U.S. Army Engineer District, Pacific Ocean, Honolulu (POH), during 23-29 August 2007, in the vicinity of the Natatorium, a World War I memorial in Kapiolani Park, Honolulu, Oahu, Hawaii. Three bottom mounted instruments were deployed to measure waves and currents. A Nortek AWAC (1 MHz) acoustic current profiler was placed seaward of the reef, centered off the Natatorium, in about 5m depth. An RD Instruments ADCP (1.2 MHz) current profiler was mounted on the channel bottom near the entrance, in about 3m depth. The third unit was a Nortek Aquadopp current profiler (2 MHz) was placed in a small hole in the reef, about 35m seaward of the Natatorium pool outer wall in a nominal depth of 1.5m. The first two gauges recorded directional waves and current profiles, the Aquadopp only recorded current profiles. Four inexpensive current drogues (drifters) were designed and built at the CHL Field Research Facility (FRF) that used GPS tracking and radio telemetry for positioning.

This database was prepared using a combination of materials that include aerial photographs, topographic maps (1:24,000 and 1:250,000), field notes, and a sample catalog. Our goal was to translate sample collection site locations at Yellowstone National Park and surrounding areas into a GIS database. This was achieved by transferring site locations from aerial photographs and topographic maps into layers in ArcMap. Each field site is located based on field notes describing where a sample was collected. Locations were marked on the photograph or topographic map by a pinhole or dot, respectively, with the corresponding station or site numbers. Station and site numbers were then referenced in the notes to determine the appropriate prefix for the station. Each point on the aerial photograph or topographic map was relocated on the screen in ArcMap, on a digital topographic map, or an aerial photograph. Several samples are present in the field notes and in the catalog but do not correspond to an aerial photograph or could not be found on the topographic maps. These samples are marked with “No” under the LocationFound field and do not have a corresponding point in the SampleSites feature class. Each point represents a field station or collection site with information that was entered into an attributes table (explained in detail in the entity and attribute metadata sections). Tabular information on hand samples, thin sections, and mineral separates were entered by hand. The Samples table includes everything transferred from the paper records and relates to the other tables using the SampleID and to the SampleSites feature class using the SampleSite field.

This report provides a summary of field activities, and air temperature, ground-thermal and active-layer data acquired in 2017 are provided in graphical and tabular format.

The mycology collection at The Field Museum is a major resource for studies in evolution, systematics, and biodiversity of fungi and lichens and conservation of their habitats. It consists of currently over 200,000 specimens with world-wide coverage and broad taxonomic representation. It is rich in type collections, especially of neotropical taxa and historical types from North America, Europe, and Asia.

This dataset includes photographs (linescan images) of sediment cores collected in southern Cascadia (offshore northern California) aboard the MV Bold Horizon in September-October 2019.

Schools K-12 dataset current as of 2004. Located during MicroData field address collection 2004-2006. Kept in Spillman database for retrieval..

The Field Museum's Bird Division egg and nest collections contains more than 500,000 data-rich specimens, our worldwide collections receive heavy use by US and international visitors and borrowers.

Profile data files: Subbottom Profiler

Portable Field Emission Spectrometer (PFES) data were acquired on July 15 and 17, 1989. A total of 31 measurements were collected for GRSFE. Of these measurements, 13 were calibrations and 18 were of representative surfaces. The data were collected primarily to support the calibration of the TIMS data and to assist in interpreting spectral mixing in the mid-infrared. Sites were selected for calibration that covered a range of emissivities. On July 15, PFES data were collected at Kelso Dunes and the Cima Volcanic Field as part of the Calibration Team effort. Daedalus and SIRIS data were collected over the same sites. For the PFES data, the Kelso Dunes Bright Target site represented the silica-rich endmember and the Cima basalt tephra Dark Target site represented the more silica-poor endmember. On July 17, PFES data were collected at two of the modelling sites at Lunar Lake (the playa and the cobble sites). Several spectra were also collected at the playa surface next to the Lunar Lake thermistor site.