{"dp_type": "Project", "free_text": "Light Absorption"}
[{"awards": "2054963 Huckstadt, Luis", "bounds_geometry": "POLYGON((-63 -58,-62 -58,-61 -58,-60 -58,-59 -58,-58 -58,-57 -58,-56 -58,-55 -58,-54 -58,-53 -58,-53 -58.5,-53 -59,-53 -59.5,-53 -60,-53 -60.5,-53 -61,-53 -61.5,-53 -62,-53 -62.5,-53 -63,-54 -63,-55 -63,-56 -63,-57 -63,-58 -63,-59 -63,-60 -63,-61 -63,-62 -63,-63 -63,-63 -62.5,-63 -62,-63 -61.5,-63 -61,-63 -60.5,-63 -60,-63 -59.5,-63 -59,-63 -58.5,-63 -58))", "dataset_titles": "Filling a Crucial Oceanographic Observation Gap in the Southern Ocean with Animal-borne Instruments", "datasets": [{"dataset_uid": "200481", "doi": "10.5281/zenodo.15388787", "keywords": null, "people": null, "repository": "Zenodo", "science_program": null, "title": "Filling a Crucial Oceanographic Observation Gap in the Southern Ocean with Animal-borne Instruments", "url": ""}], "date_created": "Tue, 13 May 2025 00:00:00 GMT", "description": "Part 1: Non-technical description Many processes that dominate coastal waters in the Southern Ocean are poorly studied due to the occurrence of sea ice and land glaciers/ice sheets that prevent access to study areas. Coastal ice prevents use of traditional moorings and glider-based research approaches that are common tools to evaluate the structure and dynamics of coastal systems in lower latitudes. During the past two decades there has been an explosive increase in the use of Animal-Borne instruments (ABI) on Southern Oceans marine mammals to collect data on aspects such as patterns of habitat usage, migratory routes, foraging and reproductive hot-spots, and impacts of human activities near marine predators. ABI sensors have been collecting data on aspects such as temperature, salinity, light, fluorescence and other aspects that could supplement sparse traditional ocean measurements from ship-based and offshore mooring-based observations. This study will assemble many datasets collected by a diverse community of instrumented marine mammals inhabiting the regions near the Southern Shetlands Islands and Kerguelen Island. ABI data will be quality controlled and evaluated for use to explore oceanographic aspects such as variability in mixed layer depth, fresh (melt) water intrusions, light penetration and surface temperature variability in coastal areas that will supplement other datasets. The project involves international collaborators and will train a graduate student in data analysis. Broader impacts will also be accomplished through the development of learning modules for use in elementary and high-school classrooms. Part II: Technical description: This study will evaluate the potential of 30 years of archival Animal-Borne Instrument (ABI) datasets from a variety of marine predators for oceanographic studies in two regions of the Southern Ocean. Animal tracking data will be quality controlled and processed to obtain location-based measurements of depth, temperature, light, and salinity in near-shore and under ice regions. Nearshore and under ice collected datasets will be analyzed to determine the feasibility of ABI data to explore features such as coastal mixed layer depth, melt water intrusions and light penetration that could supplement more traditional, but further from shore, ocean observing system data. Data from poorly studied hotspot regions where predators feed could be of particular importance. Results will be shared using collaborations among U.S. and international organizations such as Scientific Committee for Antarctic Research (SCAR) and the Southern Ocean Observing Systems (SOOS), among others. Data will be made available using public databases for the benefit of the scientific community. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": -53.0, "geometry": "POINT(-58 -60.5)", "instruments": "IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS \u003e THERMISTORS; IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS \u003e THERMISTORS \u003e THERMISTORS; IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS; IN SITU/LABORATORY INSTRUMENTS \u003e RECORDERS/LOGGERS \u003e TEMPERATURE LOGGERS", "is_usap_dc": true, "keywords": "Movement Data; Light Absorption; Ocean Temperature; ANIMAL ECOLOGY AND BEHAVIOR; South Shetland Islands; CTD Data; LIVING ORGANISM-BASED PLATFORMS; LIVING ORGANISM; OCEAN TEMPERATURE", "locations": "South Shetland Islands", "north": -58.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Huckstadt, Luis", "platforms": "LIVING ORGANISM-BASED PLATFORMS; LIVING ORGANISM-BASED PLATFORMS \u003e LIVING ORGANISM", "repo": "Zenodo", "repositories": "Zenodo", "science_programs": null, "south": -63.0, "title": "EAGER: Filling a Crucial Oceanographic Observation Gap in the Southern Ocean with Animal-borne Instruments", "uid": "p0010508", "west": -63.0}, {"awards": "0230288 Anastasio, Cort", "bounds_geometry": "POLYGON((123.30014 -75.093445,123.307404 -75.093445,123.314668 -75.093445,123.321932 -75.093445,123.329196 -75.093445,123.33646 -75.093445,123.343724 -75.093445,123.350988 -75.093445,123.358252 -75.093445,123.365516 -75.093445,123.37278 -75.093445,123.37278 -75.0952669,123.37278 -75.0970888,123.37278 -75.0989107,123.37278 -75.1007326,123.37278 -75.1025545,123.37278 -75.1043764,123.37278 -75.1061983,123.37278 -75.1080202,123.37278 -75.1098421,123.37278 -75.111664,123.365516 -75.111664,123.358252 -75.111664,123.350988 -75.111664,123.343724 -75.111664,123.33646 -75.111664,123.329196 -75.111664,123.321932 -75.111664,123.314668 -75.111664,123.307404 -75.111664,123.30014 -75.111664,123.30014 -75.1098421,123.30014 -75.1080202,123.30014 -75.1061983,123.30014 -75.1043764,123.30014 -75.1025545,123.30014 -75.1007326,123.30014 -75.0989107,123.30014 -75.0970888,123.30014 -75.0952669,123.30014 -75.093445))", "dataset_titles": "Light Absorption Coefficients for Soluble Species in Snow, Dome C, Antarctica", "datasets": [{"dataset_uid": "609519", "doi": "10.7265/N5MS3QP0", "keywords": "Antarctica; Chemistry:ice; Chemistry:Ice; Dome C Ice Core; Geochemistry; Glaciers/ice Sheet; Glaciers/Ice Sheet; Ice Core Records; Physical Properties; Snow/ice; Snow/Ice", "people": "Anastasio, Cort; Robles, Tony", "repository": "USAP-DC", "science_program": "Dome C Ice Core", "title": "Light Absorption Coefficients for Soluble Species in Snow, Dome C, Antarctica", "url": "https://www.usap-dc.org/view/dataset/609519"}], "date_created": "Wed, 07 Mar 2007 00:00:00 GMT", "description": "Photochemical reactions in snow can have important effects on the chemistry and composition of the snowpack as well as the overlying atmosphere. For example, recent measurements in the Antarctic and Arctic have revealed that sunlit snow releases a number of important pollutants to the atmosphere. Our ability to understand and model this chemistry is currently limited, in part because we lack fundamental photochemical information for a number of important chemical species in snow. This award supports research that will help fill this gap by characterizing the low-temperature photochemistry of three of these key species: nitrite (NO2-), nitrous acid (HNO2), and hydrogen peroxide (HOOH). We will measure quantum yields for these reactions on ice using a sensitive technique that we recently developed during a study of nitrate (NO3-) photochemistry. In addition to this basic research, we will also measure the rates of formation of hydroxyl radical (OH), nitrogen oxides (NOx), and HOOH in illuminated Antarctic snow samples. These measurements will be important inputs for future models, and will allow us to test whether known species (e.g., NO3-, NO2- and HNO2) are responsible for most of snowpack reactivity (e.g., OH formation). Overall, results from this award will significantly improve our ability to understand snowpack chemistry, and the resulting effects on the atmosphere, both in the Antarctic as well as in the many other regions with permanent or seasonal snow. These results will also strengthen efforts to use ice core records to monitor global change. In addition to these impacts, this award will help train students and a postdoctoral fellow, and results from this work will be integrated into two classes in order to expose students to some of the important issues facing polar regions.", "east": 123.37278, "geometry": "POINT(123.33646 -75.1025545)", "instruments": "EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e PHOTON/OPTICAL DETECTORS \u003e PHOTOMETERS \u003e SPECTROPHOTOMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e CHEMICAL METERS/ANALYZERS \u003e HPLC; IN SITU/LABORATORY INSTRUMENTS \u003e CHEMICAL METERS/ANALYZERS \u003e ION CHROMATOGRAPHS", "is_usap_dc": true, "keywords": "Snow Chemistry; Antarctica; Snowpack Chemistry; Snow Samples; Hydrogen Peroxide; Snow Properties; Pollutants; Chemistry; Light Absorption; Antarctic; Chemical Species; Snow; East Antarctica; Organic Compounds; Photochemistry; LABORATORY", "locations": "Antarctica; East Antarctica; Antarctic", "north": -75.093445, "nsf_funding_programs": "Antarctic Glaciology", "paleo_time": null, "persons": "Anastasio, Cort; Robles, Tony", "platforms": "OTHER \u003e PHYSICAL MODELS \u003e LABORATORY", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": "Dome C Ice Core", "south": -75.111664, "title": "Laboratory Studies of Photochemistry in Antarctic Snow and Ice", "uid": "p0000175", "west": 123.30014}]
X
X
Help on the Results MapX
This window can be dragged by its header, and can be resized from the bottom right corner.
Clicking the Layers button - the blue square in the top left of the Results Map - will display a list of map layers you can add or remove
from the currently displayed map view.
The Results Map and the Results Table
- The Results Map displays the centroids of the geographic bounds of all the results returned by the search.
- Results that are displayed in the current map view will be highlighted in blue and brought to the top of the Results Table.
- As the map is panned or zoomed, the highlighted rows in the table will update.
- If you click on a centroid on the map, it will turn yellow and display a popup with details for that project/dataset - including a link to the landing page. The bounds for the project(s)/dataset(s) selected will be displayed in red. The selected result(s) will be highlighted in red and brought to the top of the table.
- The default table sorting order is: Selected, Visible, Date (descending), but this can be changed by clicking on column headers in the table.
- Selecting Show on Map for an individual row will both display the geographic bounds for that result on a mini map, and also display the bounds and highlight the centroid on the Results Map.
- Clicking the 'Show boundaries' checkbox at the top of the Results Map will display all the bounds for the filtered results.
Defining a search area on the Results Map
- If you click on the Rectangle or Polygon icons in the top right of the Results Map, you can define a search area which will be added to any other search criteria already selected.
- After you have drawn a polygon, you can edit it using the Edit Geometry dropdown in the search form at the top.
- Clicking Clear in the map will clear any drawn polygon.
- Clicking Search in the map, or Search on the form will have the same effect.
- The returned results will be any projects/datasets with bounds that intersect the polygon.
- Use the Exclude project/datasets checkbox to exclude any projects/datasets that cover the whole Antarctic region.
Viewing map layers on the Results Map
Older retrieved projects from AMD. Warning: many have incomplete information.
To sort the table of search results, click the header of the column you wish to search by. To sort by multiple columns, hold down the shift key whilst selecting the sort columns in order.
| Project Title/Abstract/Map | NSF Award(s) | Date Created | PIs / Scientists | Dataset Links and Repositories | Abstract | Bounds Geometry | Geometry | Selected | Visible | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
EAGER: Filling a Crucial Oceanographic Observation Gap in the Southern Ocean with Animal-borne Instruments
|
2054963 |
2025-05-13 | Huckstadt, Luis |
|
Part 1: Non-technical description Many processes that dominate coastal waters in the Southern Ocean are poorly studied due to the occurrence of sea ice and land glaciers/ice sheets that prevent access to study areas. Coastal ice prevents use of traditional moorings and glider-based research approaches that are common tools to evaluate the structure and dynamics of coastal systems in lower latitudes. During the past two decades there has been an explosive increase in the use of Animal-Borne instruments (ABI) on Southern Oceans marine mammals to collect data on aspects such as patterns of habitat usage, migratory routes, foraging and reproductive hot-spots, and impacts of human activities near marine predators. ABI sensors have been collecting data on aspects such as temperature, salinity, light, fluorescence and other aspects that could supplement sparse traditional ocean measurements from ship-based and offshore mooring-based observations. This study will assemble many datasets collected by a diverse community of instrumented marine mammals inhabiting the regions near the Southern Shetlands Islands and Kerguelen Island. ABI data will be quality controlled and evaluated for use to explore oceanographic aspects such as variability in mixed layer depth, fresh (melt) water intrusions, light penetration and surface temperature variability in coastal areas that will supplement other datasets. The project involves international collaborators and will train a graduate student in data analysis. Broader impacts will also be accomplished through the development of learning modules for use in elementary and high-school classrooms. Part II: Technical description: This study will evaluate the potential of 30 years of archival Animal-Borne Instrument (ABI) datasets from a variety of marine predators for oceanographic studies in two regions of the Southern Ocean. Animal tracking data will be quality controlled and processed to obtain location-based measurements of depth, temperature, light, and salinity in near-shore and under ice regions. Nearshore and under ice collected datasets will be analyzed to determine the feasibility of ABI data to explore features such as coastal mixed layer depth, melt water intrusions and light penetration that could supplement more traditional, but further from shore, ocean observing system data. Data from poorly studied hotspot regions where predators feed could be of particular importance. Results will be shared using collaborations among U.S. and international organizations such as Scientific Committee for Antarctic Research (SCAR) and the Southern Ocean Observing Systems (SOOS), among others. Data will be made available using public databases for the benefit of the scientific community. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. | POLYGON((-63 -58,-62 -58,-61 -58,-60 -58,-59 -58,-58 -58,-57 -58,-56 -58,-55 -58,-54 -58,-53 -58,-53 -58.5,-53 -59,-53 -59.5,-53 -60,-53 -60.5,-53 -61,-53 -61.5,-53 -62,-53 -62.5,-53 -63,-54 -63,-55 -63,-56 -63,-57 -63,-58 -63,-59 -63,-60 -63,-61 -63,-62 -63,-63 -63,-63 -62.5,-63 -62,-63 -61.5,-63 -61,-63 -60.5,-63 -60,-63 -59.5,-63 -59,-63 -58.5,-63 -58)) | POINT(-58 -60.5) | false | false | |||
|
Laboratory Studies of Photochemistry in Antarctic Snow and Ice
|
0230288 |
2007-03-07 | Anastasio, Cort; Robles, Tony |
|
Photochemical reactions in snow can have important effects on the chemistry and composition of the snowpack as well as the overlying atmosphere. For example, recent measurements in the Antarctic and Arctic have revealed that sunlit snow releases a number of important pollutants to the atmosphere. Our ability to understand and model this chemistry is currently limited, in part because we lack fundamental photochemical information for a number of important chemical species in snow. This award supports research that will help fill this gap by characterizing the low-temperature photochemistry of three of these key species: nitrite (NO2-), nitrous acid (HNO2), and hydrogen peroxide (HOOH). We will measure quantum yields for these reactions on ice using a sensitive technique that we recently developed during a study of nitrate (NO3-) photochemistry. In addition to this basic research, we will also measure the rates of formation of hydroxyl radical (OH), nitrogen oxides (NOx), and HOOH in illuminated Antarctic snow samples. These measurements will be important inputs for future models, and will allow us to test whether known species (e.g., NO3-, NO2- and HNO2) are responsible for most of snowpack reactivity (e.g., OH formation). Overall, results from this award will significantly improve our ability to understand snowpack chemistry, and the resulting effects on the atmosphere, both in the Antarctic as well as in the many other regions with permanent or seasonal snow. These results will also strengthen efforts to use ice core records to monitor global change. In addition to these impacts, this award will help train students and a postdoctoral fellow, and results from this work will be integrated into two classes in order to expose students to some of the important issues facing polar regions. | POLYGON((123.30014 -75.093445,123.307404 -75.093445,123.314668 -75.093445,123.321932 -75.093445,123.329196 -75.093445,123.33646 -75.093445,123.343724 -75.093445,123.350988 -75.093445,123.358252 -75.093445,123.365516 -75.093445,123.37278 -75.093445,123.37278 -75.0952669,123.37278 -75.0970888,123.37278 -75.0989107,123.37278 -75.1007326,123.37278 -75.1025545,123.37278 -75.1043764,123.37278 -75.1061983,123.37278 -75.1080202,123.37278 -75.1098421,123.37278 -75.111664,123.365516 -75.111664,123.358252 -75.111664,123.350988 -75.111664,123.343724 -75.111664,123.33646 -75.111664,123.329196 -75.111664,123.321932 -75.111664,123.314668 -75.111664,123.307404 -75.111664,123.30014 -75.111664,123.30014 -75.1098421,123.30014 -75.1080202,123.30014 -75.1061983,123.30014 -75.1043764,123.30014 -75.1025545,123.30014 -75.1007326,123.30014 -75.0989107,123.30014 -75.0970888,123.30014 -75.0952669,123.30014 -75.093445)) | POINT(123.33646 -75.1025545) | false | false |
