This is a simple prompt for paragraph (textarea) text input:
Enter some good text here
boo
heyoooooooo
[prompt:text:Type in your greatest fear]
## Here's another
something else
[prompt:paragraph:Type something here:uniqueId1]
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wall-gap.svg
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[](https://publiclab.org/system/images/photos/000/019/265/original/Screen_Shot_2017-01-12_at_10.54.02_AM.png)
[](https://publiclab.org/system/images/photos/000/019/264/original/Screen_Shot_2017-01-12_at_11.16.40_AM.png)
### Expanding sections
Wow, check this out -- click "Expand me" on the next line:
Expand me
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[notes:regulations]
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Latex test:
$a=x^2$
Voices from Barnraising 2016
## Jaekyung
## Gina
## Katie
## Mary
## Sara
## ?
## Carla
## M
اللغة العربية هي أكثر اللغات تحدثاً ضمن مجموعة اللغات السامية، وإحدى أكثر اللغات انتشاراً في العالم، يتحدثها أكثر من 422 مليون نسمة،[2](1) ويتوزع متحدثوها في الوطن العربي، بالإضافة إلى العديد من المناطق الأخرى المجاورة كالأحواز وتركيا وتشاد ومالي والسنغال وإرتيريا و إثيوبيا و جنوب السودان و إيران. اللغة العربية ذات أهمية قصوى لدى المسلمين، فهي لغة مقدسة (لغة القرآن)، ولا تتم الصلاة (وعبادات أخرى) في الإسلام إلا بإتقان بعض من كلماتها.[4][5] العربية هي أيضاً لغة شعائرية رئيسية لدى عدد من الكنائس المسيحية في الوطن العربي، كما كتبت بها الكثير من أهم الأعمال الدينية والفكرية اليهودية في العصور الوسطى. وأثّر انتشار الإسلام، وتأسيسه دولاً، في ارتفاع مكانة اللغة العربية، وأصبحت لغة السياسة والعلم والأدب لقرون طويلة في الأراضي التي حكمها المسلمون، وأثرت العربية تأثيراً مباشراً أو غير مباشر على كثير من اللغات الأخرى في العالم الإسلامي، كالتركية والفارسية والأمازيغية والكردية والأردوية والماليزية والإندونيسية والألبانية وبعض اللغات الإفريقية الأخرى مثل الهاوسا والسواحيلية والتجرية والأمهرية و الصومالية، وبعض اللغات الأوروبية وخاصةً المتوسطية كالإسبانية والبرتغالية والمالطية والصقلية. كما أنها تُدرَّس بشكل رسمي أو غير رسمي في الدول الإسلامية والدول الإفريقية المحاذية للوطن العربي.
****
More generic table of questions:
[notes:question:spectrometer]
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### Activity grid content:
[notes:activity-grids]
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The Gowanus Canal Conservancy has been using kite and balloon photographs to map historic buried stream beds and opportunities for rain filter planting on the edges of a Superfund site in Brooklyn, New York.
The Conservancy uses the kite photographs to create a record of their planting and activities during community “Clean and Green” events.
Last Sunday 21 October, they held a free City sponsored Tree adoption program, where local residents could come pick up trees to help rebuild the urban forest of the Gowanus watershed.
This event included a kite photography workshop with Saint John’s University students and local children who had come to help clean up the Canal edges.
The photographs the volunteers took were intended to capture the community sponsored Compost Gowanus event, where volunteers help recycle restaurant waste to improve Canal soils, photograph the health of existing planting, and capture the creation of new gardens along the heavily polluted Gowanus Canal.
The kite mounted Hello Kitty 10 megapixel SD880 Canon Camera ($50) took 677 photos (2.52 Gigabytes worth) using a CHDK (Canon Hack Development Kit) script loaded on the SIM card that allowed the camera to take pictures every 10 seconds while up in the air.
While sorting the pictures 4 hours later, it was noticed that the students had also captured images of a major milky plume coming from an adjacent construction site, being redeveloped for a Whole Foods shopping center and a public waterfront park. Adjacent DEP oxygenation floating tubes in the Canal also feed this area, but the discoloration did not match the typical bubbling often seen by canoers.
The building contractors for Whole Foods were immediately notified of the potential spill that morning, as was New York State Department of Environmental Conservation (NYSDEC), responsible for preventing water pollution. The Environmental Protection Agency (USEPA) was also alerted, as they were carrying out an extensive pipe outflow and pollution mapping survey to guide the Gowanus Canal Superfund Cleanup. This particular outflow had been missed in their survey as it had been camouflaged behind a welded steel plate.
What is interesting about the kite photography, is that the outflow had been flagged on prior Grassroots Mapping aerials taken by home made infrared cameras flown from balloons via Gowanus Dredgers canoes.
Grassroots mappers had debated how to interpret those infrared images, with some seeing a clearly visible plume, while others arguing that there was no plume, as this location was a known outflow of fresh water, and that what was being seen on the aerial was a coincidental floating layer of sewage scum floatables, formed by the tidal currents.
The same streaking was not seen at other photographed points where historical streams were known still flow into the Canal. This healthy scientific debate prompted one of Grassroots mappers to canoe out to the outflow and stick his camera under steel plate at low tide to photograph the clean flowing water.
Subsequent research established that this flowing water was a surviving remnant of Denton’s Pond, a large tidal pond buried in the 1850s during the construction of the Gowanus Canal. This pond was America’s first recorded oyster farm, growing the famed Gowanus oysters, a renown delicacy growing up to a foot long.
The historic pond reappeared briefly during the removal of toxic soils from the site during its cleanup program.
With the new mindset of working with natural systems, rather than fighting against them, there is an opportunity here for designers to take advantage of a unique site feature to manage 100% of the storm water on site.
A more creative water sensitive landscape design for their parking lot could consider daylighting historic water features, improving local water quality, recreating ecological wetland habitats - and making water habitat food cycles whole again.
The future public waterfront park being developed by Whole Foods on the site will be a welcome community asset.
You can check out more pictures taken by local Brooklyn grassroots mappers here: https://www.flickr.com/photos/51802375@N04/sets/72157629561924342/
The NYSDEC, NYCDEP and EPA pollution control agencies promptly sent teams to resolve the photographed potential pollution problem, an example of constructive community dialogue helped along by fun rapid response grassroots mapping tools.
______________________________________________________________
[](https://publiclab.org/system/images/photos/000/019/009/original/solidarity-economy-red.jpg)
[](https://publiclab.org/system/images/photos/000/019/012/original/solidarity-economy-red.png)
****
| | | Photosynq | iSense | Codap | Phant | Phant + Grapherate (as spec'ed) |
|--|--|-----------|--------|-------|-------|---------------------------------|--|
| | Notes | Some difficulty assessing as it's designed more narrowly for leaf measurements, though with programming it can be more flexible. | | | | |
| Audience | Programmers, field collection, scientists, community groups ...? | Programmers, scientists | Programmers, scientists, students, citizen scientists | Students, teachers | Programmers | Community groups, programmers, scientists |
| | Easy to use? | Hard to set up, easier to use | Hard to set up, easier to use | Hard to set up, easier to use | No | Yes |
| Data type | CSV upload | API only | Yes | Yes | Programmatic only, no UI | Yes |
| | Live from sensors | No | Maybe with extra work | Maybe with extra work | Yes | Yes |
| | Photo data | Upload, no analysis | Upload, no analysis | | No | No |
| | Bulk photo upload | No | No | No | No | No |
| | Location data | Yes | Yes | | Possible with extra work | Yes |
| | Lab results: csv, pdf (hard to answer without sample data) | No | No | No | No | No |
| | Form UI customization for data entry | with JavaScript | Yes | | No | Yes |
| Support | Documentation | _Good for leaf analysis_ | [Great video series][1] | [Thorough + legible docs][2] | [API docs, for programmers][3] | No |
| | Long-term support infra/community | Unclear | Institutional | Institutional | Sparkfun, healthy community | Nothing hosted, but debug/maintenance |
| | Independent of single host | Open source | Open source | Open source | Open source | Open source |
| | Discursive peer support | Forums + commenting, some not fully implemented | No | | No | No |
| Display | Graphing | Yes | Yes | Yes | Via relatively easy integrations | Yes |
| | Multiple sensors in a graph | Yes | Yes | Yes | Via relatively easy integrations | Yes |
| | Map | Yes | Yes | Yes | Via integrations | Yes |
| | Embeddable | No | Yes | Yes | Via integrations | Yes |
| | Multiple sensors on a map | Yes | Yes | Yes | Via integrations | Yes |
| | Display by project/user | Yes | Yes | Yes | Yes | Yes |
| | Associate photo with metadata/notes fields | Yes | Yes | | No | No |
| | Comparison to historical/existing data | No | No | No | No | Via data importing |
| | Contextual weather/wind/temp/humidity | Programmatically via macros | No | | No | Possible with extra work |
| | Heatmap | Yes | Yes | | No | Possible with extra work |
| | Threshold alerts | No | No | No | No | Possible with extra work |
| Evidential | Changes log | Not combined but each data entry listed | Not combined but each data entry listed | | No | Possible with extra work |
| | User accounts / collaborative | Yes | Accounts but no discussion | Accounts possible but no discussion? | No | Embeddable on PL |
| | Checksum validation | No | No | No | No | Possible with extra work |
| Compatibility | Online | Yes | Yes | Yes | Yes | Yes |
| | Offline | Yes | No | No | No | Possible with extra work |
| | Mac/Windows | Web-based analysis, but not input | Yes | Yes | Yes | Yes |
| | Smartphone | Android | Browser, responsive | | No | Yes |
| Privacy | Selective visibility | If complete open sourcing, could run our own instance | Could run our own instance | Could run our own instance | Could run our own instance | Possible with extra work |
[1]: https://isenseproject.org/tutorials
[2]: http://codap.concord.org/help/
[3]: http://phant.io/