egrace479 commited on
Commit
a49d525
·
verified ·
1 Parent(s): 12f4092

Add licensing information

Browse files
Files changed (1) hide show
  1. README.md +7 -6
README.md CHANGED
@@ -12,10 +12,11 @@ pretty_name: Smithsonian Tropical Research Institute (STRI) Samples
12
  size_categories:
13
  - n<1K
14
  configs:
15
- - config_name: default
16
- data_files:
17
- - metadata.csv
18
- - images/*.JPG
 
19
  ---
20
 
21
  # Dataset Card for Smithsonian Tropical Research Institute (STRI) Samples
@@ -200,7 +201,7 @@ Recommended use is only for segmentation.
200
 
201
  ### Licensing Information
202
 
203
- [More Information Needed]
204
 
205
  ### Citation Information
206
 
@@ -208,4 +209,4 @@ Christopher Lawrence, Owen McMillan, Daniel Romero, Carlos Arias. (2024). Smiths
208
 
209
  ## Acknowledgements
210
 
211
- This work was supported by US National Science Foundation (NSF) grant [IOS 2110532](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2110532&HistoricalAwards=false), with additional support from the [Imageomics Institute](https://imageomics.org), which is funded by the NSF's Harnessing the Data Revolution (HDR) program under [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
 
12
  size_categories:
13
  - n<1K
14
  configs:
15
+ - config_name: default
16
+ data_files:
17
+ - metadata.csv
18
+ - images/*.JPG
19
+ license: cc-by-4.0
20
  ---
21
 
22
  # Dataset Card for Smithsonian Tropical Research Institute (STRI) Samples
 
201
 
202
  ### Licensing Information
203
 
204
+ [CC BY](https://creativecommons.org/licenses/by/4.0/)
205
 
206
  ### Citation Information
207
 
 
209
 
210
  ## Acknowledgements
211
 
212
+ This work was supported by US National Science Foundation (NSF) grant [IOS 2110532](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2110532&HistoricalAwards=false), with additional support from the [Imageomics Institute](https://imageomics.org), which is funded by the NSF's Harnessing the Data Revolution (HDR) program under [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.