| Field | Value |
|---|---|
Dataset Name |
SERF2017: Thin Sea Ice Multivariate Physical & Radar Time Series |
Dataset General Type |
sea ice time series |
Dataset Type |
Dataset |
Dataset Level |
1.1 |
Program Website |
|
Keyword Vocabulary |
|
Keyword Vocabulary URL |
|
Theme |
|
Title |
Cryosphere |
URL |
https://canwin-datahub.ad.umanitoba.ca/data/group/cryosphere |
Title |
Remote Sensing |
URL |
https://canwin-datahub.ad.umanitoba.ca/data/group/remote-sensing |
Dataset Status |
Complete |
Maintenance and Update Frequency |
Not planned |
Dataset Last Revision Date |
2025-08-10 |
Dataset DOI |
10.34992/01GA-DT35 |
Metadata Creation Date |
2025 |
Publisher |
CanWIN |
Dataset Authors |
|
Dataset Authors 1 |
|
Name |
Dadjoo, Mehran |
Type of Name |
Personal |
Affiliation |
Centre for Earth Observation Science - University of Manitoba |
ORCID ID |
0009-0000-4322-5224 |
ORCID |
|
http://orcid.org/ |
|
Dataset Authors 2 |
|
Name |
Isleifson, Dustin |
Type of Name |
Personal |
Affiliation |
Centre for Earth Observation Science - University of Manitoba |
ORCID ID |
0000-0002-9349-8076 |
ORCID |
|
http://orcid.org/ |
|
Contributors |
|
Contributors 1 |
|
Name |
|
Role |
|
Affiliation |
|
ORCID ID |
|
|
|
|
|
Project Data Curator |
Dadjoo, Mehran |
Project Data Curator email |
|
Project Data Curator Affiliation |
Centre for Earth Observation Science - University of Manitoba |
Dataset Collection Start Date |
2017-01-12 |
Dataset Collection End Date |
2017-01-14 |
Sample Collection |
|
Sample Collection 1 |
|
Sampling Instrument Name |
|
Standardized Sampling Instrument Name |
|
Sample Collection Method Name |
|
Comment |
|
Method Link |
|
Method Summary |
|
Method Description Type |
Methods |
Activity Collection Type |
|
Preferred citation |
|
Analytical Instrument |
|
Analytical Instrument 1 |
|
Analytical Instrument Name |
|
Standardized Analytical Instrument Name |
|
Analytical Instrument Identifier Id |
|
Analytical Instrument Title Type |
Alternative Title |
Analytical Instrument Identifier Type |
|
Analytical Method |
|
Analytical Method 1 |
|
Analytical Method Name |
|
Method Link |
|
Method Summary |
|
Laboratory |
|
Comments |
|
Variables Measured |
C-band NRCS values (dB), C-band NRCS values in HH polarization (dB), C-band NRCS values in HV polarization (dB), air temperature (°C), surface temperature (°C), Cumulative Freezing Degree Moments (CFDM), humidity (%), wind speed (m/s), surface cover salinity (PSU), ice surface salinity (PSU), bulk ice salinity (PSU), frost flower height (cm), ice thickness (cm) |
License Name |
Creative Commons Attribution 4.0 International |
Licence Type |
Open |
Embargo Date |
|
Licence URL |
|
Terms of Access |
CanWIN datasets are licensed individually, however most are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) Public License. Details for the licence applied can be found using the Licence URL link provided with each dataset. By using data and information provided on this site you accept the terms and conditions of the License. Unless otherwise specified, the license grants the rights to the public to use and share the data and results derived therefrom as long as the proper acknowledgment is given to the data licensor (citation), that any alteration to the data is clearly indicated, and that a link to the original data and the license is made available. |
Terms of Use |
By accessing this data you agree to [CanWIN's Terms of Use](/data/publication/canwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0). |
Awards |
|
Awards 1 |
|
Award Title |
|
Website |
|
Funder Name |
|
Funder Identifier Code |
|
Funder Identifier Type |
|
Funder Identifier Scheme |
|
Grant Number |
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Related Resources |
|
Related Resources 1 |
|
Related Resource Name |
|
Resource Code |
|
Identifier Type |
|
Relationship To This Dataset |
|
Resource Type |
Online Resource |
Type |
|
Series Name |
|
Publications |
|
Publications 1 |
|
Publication Name |
Dadjoo, M., & Isleifson, D. (2025, July). Thin Sea Ice Thickness Prediction Using C-band Polarimetric Radar and Physical Observations Via Multivariate Random Forest Algorithm. In 2025 IEEE 20th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM) (pp. 74-77). IEEE. |
Identifier Code |
|
Identifier Type |
|
Relationship to this dataset |
|
Resource Type |
Online Resource |
Publication Type |
ConferenceProceeding |
Spatial regions |
|
Spatial extent West Bound Longitude |
|
Spatial extent East Bound Longitude |
|
Spatial extent South Bound Latitude |
|
Spatial extent North Bound Latitude |
|
| Field | Value |
|---|---|
URL |
https://canwin-datahub.ad.umanitoba.ca/data/dataset/3c39d0b7-7ebe-450f-8c16-2350ef2ac394/resource/952c74af-356a-4e95-83ee-3e99766818f9/download/data_serf2017_multivariate-sea-ice-time-series.xlsx |
Name |
Data_SERF2017_Multivariate Sea Ice Time Series.xlsx |
Description |
|
Format |
XLSX |
Resource Category |
data |