Code: Is there code? Is it submitted or existing? If so add URL to parent wiki page!!!
Py1/Py2: Is it using PyClowder1, PyClowder 2, or neither. Expectation for Beta is most will be in Py1, moving forward with new ones we will use Py2.
JSON-LD: Is proper JSON-LD generated in the MetaData and registration document (make sure to use full URI).
DCKR: Dockerized?
Test File: Sample file available?
TC: Is the tool in the tools catalog?
DPL: Is the tool deployed as docker container on DEV?
DL: Is the tool downloadable via Sandeep's modifications to move compute to the data?
Scientific
| Domain | Tool | Type | Description | Code | Py1/Py2 | JSON-LD | DCKR | Test File | TC | DPL | DL | Assignment | |
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| Hydrology
| 1 | Advection Diffusion | Solve a general advection-dispersion equation. | (need to contact student) |
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| Sandeep Puthanveetil Satheesan Jong Lee (need to contact student) | ||||||
| 2 | Chemical Mean Age | Extractor | Determine the mean age of chemical constituents with inputs of chemical dynamics. |
(need to contact student) |
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| Sandeep Puthanveetil Satheesan Jong Lee (need to contact student) | |||
| 3 | Document Tables Extractor (ncsa.nlp.wordtables) | Extractor | Extract tables from documents. | Yes | Py1/Py2 not used | No | No | No | No | No | No | Yan Zhao | |
| 4 | ESRI Shapefile Extractor by using GDAL (ncsa.geo.shpExtractor) | Extractor | Create a Geoserver layer for WMS service. It can be used in previewer | N/A | Py1 | No | Yes | No | No | Yes | No | ||
| 5 | GeoTiff Extractor by using GDAL (ncsa.geo.tiffExtractor) | Extractor | Create a Geoserver layer for WMS service. It can be used in previewer | N/A | Py1 | No | Yes | No | No | Yes | No | ||
| 6 | GeoTiff Metadata Extractor by using GDAL (Another implementation) (ncsa.image.geotiff) | Extractor | Extract geospatial metadata from Geotiff. It should be combined with #5 Geotiff extractor. | N/A | Py1 | Yes | No | No | No | No | No | ||
| 7 | Historical River Extractor (ncsa.cv.river) | Extractor | Extract the river networks from the ancient hand-drawing maps and compare them with current river networks | Yes | Py1 | Yes | Yes | Yes | No | No | No | ||
| 8 | Normalized Difference Vegetation Index (ncsa.arcgis.landsat7mosaic) | Extractor | Create a NDVI layer from Landsat data. Calculating vegetation indices such as NDVI and Surface Temperature from Landsat 7 and 8 satellite data. | Yes | Py1 | Yes | N/A (Windows, ArcGIS) | Yes | No | Yes (Windows VM, but currently not running) | No | ||
| 9 | River Chi Index | Extractor | Identify the river dynamics in a river basin and evaluate human activities' influences through Chi index in the streams. | Yes | Py1 | Yes | Yes | Yes | No | Yes | Yes (Dev) | ||
| 10 | GDAL Converter | Converter | Converts between TIFF and BIL (zip) and FLT (zip) | N/A | N/A | N/A | Yes | Yes | No | Yes | Yes | ||
| 10 | River Sinuosity | Extractor | Study the maturity and equilibrium conditions of a stream through the sinuosity index. | (need to contact student) |
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| Sandeep Puthanveetil Satheesan Jong Lee (need to contact student) | |||
| 11 | Soil Moisture Change | Extractor | Determine role of hydraulic redistribution in AZ (riparian site / upland site) by studying soil moisture change throughout different seasons. | (need to contact student) |
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| Sandeep Puthanveetil Satheesan Jong Lee (need to contact student) | |||
| 12 | Species Classifier | Extractor | SAM based Species Classification from Hyperspectral data, Hyperspectral Indices, NDVI, SAVI, MSAVI, etc. | (need to contact student) |
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| Sandeep Puthanveetil Satheesan Jong Lee(need to contact student) | ||||
| 13 | Floodplan Extractor by using TerEx (ncsa.arcgis.floodplain) | Extractor | Identify the flat polygons and the heights inside a river valley. | Yes (but procedure) |
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| 14 | Topographic Depressions | Extractor | Identify topographic depressions (TDs) and their distribution on landscape (Number, location, area, volume of TDs). | (need to contact student) |
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| Sandeep Puthanveetil Satheesan Jong Lee (need to contact student) | |||
| 15 | Tree Delineation | Extractor | Create a shapefile with polygons of tree canopy polygon from Lidar data | Yes | Py1 | Yes | N/A (Windows, ArcGIS) | Yes | No | Yes (Windows VM, but currently not running) | No | ||
| 16 | Tree-wise voxelization | Tree-wise voxelization of waveform data for lidar metrics that describes canopy structure (max intensity, height, etc...). Individual tree delineation, tree leaf area density to describe vertical leaf distribution. | Yes (But extractor has to be developed. Also, need to contact student for updated code.) | ||||||||||
| 17 | Valley Safety Zones | Extractor | Estimate submerging areas and water depths under extreme floods and map the safety zones in a river valley. | (need to contact student) |
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| Sandeep Puthanveetil Satheesan Jong Lee (need to contact student) | |||
| Ecology
| 1 | netcdf (ncdump) | Converter | Convert from binary netcdf to text. | N/A | N/A | N/A | Yes | Yes | N/A | |||
| 2 | PEcAn (PEcAn#Ameriflux) | Converter | Convert Ameriflux data to PEcAn's netcdf CF format. | Yes | N/A | N/A | Yes | Yes | N/A | ||||
| 3 | PEcAn (PEcAn#DALEC) | Converter | Convert PEcAn's netcdf CF format to the format required by the DALEC model. | Yes | N/A | N/A | Yes | Yes | N/A | ||||
| 4 | PEcAn (PEcAn#ED2) | Converter | Convert PEcAn's netcdf CF format to the format required by the ED model. | Yes | N/A | N/A | Yes | Yes | N/A | ||||
| 5 | PEcAn (PEcAn#LINKAGES) | Converter | Convert PEcAn's netcdf CF format to the format required by the LINKAGES model. | Yes | N/A | N/A | Yes | Yes | N/A | ||||
| 6 | PEcAn (PEcAn#Sipnet) | Converter | Convert PEcAn's netcdf CF format to the format required by the Sipnet model. | Yes | N/A | N/A | Yes | Yes | N/A | ||||
| 7 | PEcAn (PEcAn#AmerifluxBNL) PEcAn (PEcAn#FLUXNET2015) PEcAn (PEcAn#FACE) PEcAn (PEcAn#PALEON) PEcAn (PEcAn#NLDAS) PEcAn (PEcAn#CURNCEP) PEcAn (PEcAn#GLDAS) PEcAn (PEcAn#GFDL) PEcAn (PEcAn#BIOCRO) PEcAn (PEcAn#CLM) PEcAn (PEcAn#GDAY) PEcAn (PEcAn#JULES) PEcAn (PEcAn#LPJ-GUESS) PEcAn (PEcAn#MAAT) PEcAn (PEcAn#MAESPA) PEcAn (PEcAn#PRELES) | Yes | N/A | N/A | Yes | Yes | N/A | ||||||
| 8 | PlantCV (terra.plantcv) | Extractor | Extract plant height, area, and color distribution from photographs. | Yes |
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| Civil & Environmental Engineering
| 1 | Body of Water Detector (ncsa.image.ponddetect) | Extractor | Land coverage, extract locations of bodies of water from satellite data. | Yes | No | No | Yes | No | No | No | ||
| 2 | GI Identification | Extractor | Yes | Yes | Yes | Yes | Yes | Yes | ? | ||||
| 3 | Human Preference Score (ncsa.image.humanpref) | Extractor | Assign a model derived human preference score to a given image of an urban environment. | Yes | no | no | yes | no |
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| 4 | Route Greenness (ncsa.xml.greenindexroute) | Extractor | Derive the green index of a city route. | Yes | Yes | Yes | need to add to repo | No | Yes | No | |||
| 5 | Social Media GI Preferences | Extractor |
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| 6 | Stanford CoreNLP - Sentiment (ncsa.nlp.SNLPSentiment) | Extractor | Assign a sentiment score to a piece of text. |
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| 7 | TUV Triaxus | Extractor |
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| Social Science & Humanities | 1 | Bertillon Card Cell Extractor (ncsa.image.dmp) | Extractor | Extract table cells from a Bertillon Card. | Yes | Py1 | Yes | No | No | No | No | No | |
| 2 | Census Form Cell Extractor (census-section-segmentor) | Extractor | Extract table cells from a 1930s Census form. | Yes | n/a | No | No | Yes | No | No | No | ||
| 3 | Handwritten Decimals Extractor (ncsa.image.sphog.debod) | Extractor | Extract handwritten decimal values from an image. | Yes | Py1 | Yes | No | No | No | No | No | ||
| 4 | Killed Photos (ncsa.image.iarp_remove_circle) | Extractor | Identify depression era photos "killed" by Farm Security Administration director Roy Stryker, indicated by a hole punch in the image. | Yes | pymedici | no | no | no |
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| 5 | Mean Grey (ncsa.cv.meangrey) | Extractor | Mean grey values of black and white photos. | Yes |
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| Marcus Slavenas | |||
| 6 | Movie Slice (ncsa.movieslice) | Extractor | Yes | Py1/Py2 not used | No | No | No | No | No | No | |||
| 7 | Person Detector (person-detector) | Extractor | Extract locations of people in an image. | Yes | Py1/Py2 not used | No | No | No | No | No | No | ||
| 8 | Person Tracker (ncsa.person-tracker) | Extractor | Extract locations and paths of people moving in videos. | Yes | Py1/Py2 not used | No | No | No | No | No | No | ||
| 9 | Video Analytics Toolbox (ncsa.cinemetrics_batch) | Extractor | Extract shot descriptors from videos. | Yes | Py1/Py2 not used | No | No | No | No | No | No | ||
| Biology, Genomics, Medicine | 1 | FSL (mri2mesh) | Extractor | Yes | pymedici | no | yes | no | no | no | |||
| 2 | Glomeruli (ncsa.msc.diagnosis) | Extractor | Extract glomeruli from Kidney biopsy images. | Yes | Py1 | Yes | Yes | Yes | Yes |
| Yes |
General
| Domain | Tool | Type | Description | Code | Py1/Py2 | JSON-LD | DCKR | Test File | TC | DPL | DL | Assignment | |
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General | 1 | Calibre (ebook-converter) | Converter | Convert e-books to a number of document formats. | N/A | Yes | Yes | Yes | Yes | N/A | |||
| 2 | CMU Sphinx (ncsa.audio.speech2text) | Extractor | Audio recognition to extract text for speech within audio. | Yes | Yes |
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| 3 | Daffodil (daffodil) | Converter | Convert formats with a provided DFDL schema to XML. | N/A | Yes | Yes | N/A | ||||||
| 4 | DBPedia (ncsa.dbpedia) | Extractor | Find and define named entities within the given text. | Yes |
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| 5 | FFmpeg (ffmpeg) | Converter | Convert between a large number of video formats. | N/A | Yes | Yes | Yes | Yes | N/A | Bing Zhang | |||
| 6 | FLAC (flac) | Converter | Convert to and from the FLAC format from other audio formats. | N/A | Yes | Yes | Yes | Yes | N/A | Bing Zhang | |||
| 7 | Ghostscript (ghostscript) | Converter | Convert between document formats. | N/A | Yes | Yes | Yes | Yes | N/A | Bing Zhang | |||
| 8 | htmldoc (htmldoc) | Converter | Convert HTML to a number of document formats. | N/A | Yes | Yes | Yes | Yes | N/A | ||||
| 9 | ImageMagick (ImageMagick) | Converter | Convert between a large number of image formats. | N/A | Yes | Yes | N/A | ||||||
| 10 | ImageMagick (ncsa.image.metadata) | Extractor | Pull available EXIF image metadata from a given image. | Yes | Yes | No |
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| 11 | Kabeja (kabeja) | Converter | Convert between a handful of 3D and image formats. | N/A | Yes | Yes | N/A | ||||||
| 12 | OpenCV - Faces (ncsa.cv.faces) | Extractor | Find faces in an image and return their locations. | Yes | Yes | Yes | Yes |
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| 13 | OpenCV - Eyes (ncsa.cv.eyes) | Extractor | Find eyes in an image and return their locations. | Yes | Yes | Yes | Yes |
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| 14 | OpenCV - Closeups (ncsa.cv.closeups) | Extractor | Determine whether an image is a closeup of a person or not. | Yes | Yes | Yes | Yes |
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| 15 | OpenCV - Profiles (ncsa.cv.profiles) | Extractor | Find human face profiles in an image and return their locations. | Yes | Yes | Yes | Yes |
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| 16 | Langid (ncsa.nlp.simplelanguage) | Extractor | Identify the language of the given text. | Yes | Py2 | Yes | Yes | Yes | Yes | needs push | ? | ||
| 17 | LibreOffice (unoconv) | Converter | Convert to and from a variety of document formats. | N/A | Yes | Yes | Yes | Yes | N/A | Bing Zhang | |||
| 18 | NLTK - Summary (ncsa.nlp.simplesummary) | Extractor | Summarize a body of text. | Yes | Py2 | Yes | Yes | Yes | Yes | needs push | ? | ||
| 19 | Siegfried (siegfried) | Extractor | Extract information about a given file relevant to identifying its type and validating its format. | Yes | Py2 | Yes | Yes | Yes | Yes | needs push | ? | ||
| 20 | Stanford CoreNLP (ncsa.nlp.SNLP) | Extractor | Natural Language Process extractions such as parts of speech, named entities, langauge, etc. | Py1 Java equiv. | No | No | No | Yes | ? | ? | |||
| 21 | Tesseract (ncsa.image.ocr) | Extractor | Object Character Recognition (OCR) to extract text from images containing text. | Yes | Yes | Yes | Yes | Yes | N/A | ||||
| 22 | Tika (ncsa.nlp.tika) | Extractor | Document extractions such as language identification, ... | Yes |
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| 23 | txt2html (txt2html) | Converter | Convert text documents to HTML. | N/A | Yes | Yes | Yes | Yes | N/A | ||||
| 24 | Versus - Color Distribution (ncsa.versus.image) | Extractor | Generate a distribution of color values within an image to be used for comparing how similar two images are. | Yes | Yes | Yes | Yes | Yes | Yes | Bing Zhang | |||
| 25 | VLFeat (ncsa.image.caltech101) | Extractor | Classify images as to whether they contain objects from the Caltech101 dataset (e.g. people, airplanes, motorcycles, cougars, ...). | Yes | Py1 | yes | yes | yes | Yes | yes |
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| 26 | Zip (zip) | Converter | Unzip zip archives. | N/A | Yes | Yes | Yes | Yes | N/A | Bing Zhang |
https://opensource.ncsa.illinois.edu/confluence/display/BD/Transformations (Under development, Being Refactored)
GeoTiff Extractor by using