BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 543273

## MATERIALS IN HIDDEN AREAS

- RADIANT PANEL TEST RESULTS

## MATERIALS IN HIDDEN AREAS

**1**-MATERIALS CURRENTLY USED IN COCKPIT AND CABIN
-  TWO THERMOPLASTICS
-  LAMINATED PANEL GLASS/PHENOLIC-2PLIES
-  SANDWICH PANEL NIDA NOMEX+ 4 PLIES GLASS/PHENOLIC

## MATERIALS IN HIDDEN AREAS

**2**- Combination of an insulation blanket film pvf + 30 wires bundled with attachment clamps made of polyamide
- the attachment clamps meet the requirements of the vertical bunsen burner test 12 seconds

## MATERIALS IN HIDDEN AREAS

**RADIANT PANEL STANDARD TEST METHOD**

**SIZE OF THE SPECIMEN : 15x 12 cm**

## MATERIALS IN HIDDEN AREAS

- IGNITION TIME : 60 seconds

**SIZE OF THE SPECIMEN: 50 X 17, 5 cm**

## MATERIALS IN HIDDEN AREAS

- TESTS ON WIRES + ATTACHMENT CLAMPS +  INSULATION BLANKETS

- FIRST RESULTS

- A LOT OF DISPERSION

- -14 or 30 wires bundled located on blanket with
- 2, 3 or 4 clamps separated at 2 to 5 cm
- - clamps melted after removing the pilot burner
- - The flame remains or not afterwards.

## MATERIALS IN HIDDEN AREAS

- In some hidden parts the space out between two attachment clamps is less than 1,5 cm
- scenario : 30 wires bundled + 5 clamps separated every 1 cm and located on the insulation blanket

## MATERIALS IN HIDDEN AREAS

**BEFORE THE TEST****	****AFTER THE TEST****	**

## MATERIALS IN HIDDEN AREAS

- During the test, the burner removed

## MATERIALS IN HIDDEN AREAS

- 3 tests carried out :
- film melted
- cable ties melted and flames remained after removing the pilot burner
- test 1 after flame time : 6 minutes 53 secondes
- test 2 after flame time : 4 minutes 32 secondes
- test 3 after flame time : 6 minutes 35 secondes
# Presentation: 716299

## HRM CONFERENCE CALL	October 8, 20033:00 p.m.

- Background Investigation
- Sherri D. Jennings, Chief
- Security & Investigations Center (07C)

## FY 03 S&IC UPDATE	

- FY 03 PROCESSED OVER 1,700 BACKGROUND INVESTIGATIONS.
- OF THAT 1,700, 400 INCLUDED VA POLICE OFFICERS. MET SECRETARY’S GOAL OF ARMING OFFICERS.
- 380 CONTRACTOR BACKGROUND INVESTIGATIONS PROCESSED.

## OPM CHALLENGES

- FY 04 OPM WILL ABSORB THE PERSONNEL SECURITY PROGRAM OF THE DEFENSE SECURITY SERVICE (DSS).
- CURRENTLY, THE DSS HAS A 425,000 INVESTIGATIONS PENDING.
- DUE TO HOMELAND SECURITY AND TSA EMPLOYEE SCREENING, OPM EXPERIENCES A 12-18 MONTH BACKLOG ON COMPLETING CASES.

## HOW THIS EFFECTS VA	

- THE MAJORITY OF MBI, BI AND NACI CASES ARE MAKING THE CONTRACTED CLOSURE DATES OF 120 DAYS.  NACI AVERAGE CLOSURE DATE IS 65-72 DAYS.
- DELAY OCCURS ON NATIONAL SECURITY CLEARANCES, SPECIFICALLY THE SSBI, LBI AND 5-YEAR PERIODIC REINVESTIGATION PRODUCT.

## HOW THIS EFFECTS VA CONT’D.

- SLOWS DOWN OUR ABILITY TO FILL SLOTS FOR OUR EMERGENCY PROGRAM.
- EXTERNAL AGENCIES WILL NOT ACCEPT CLEARANCE CERTIFICATIONS FOR EMPLOYEES THAT DO NOT HAVE UP-TO-DATE 5-YEAR INVESTIGATIONS.

## HOW HR STAFF CAN ASSIST THE S&IC

- ENSURE THAT EMPLOYEES MEET THE REQUIRED SUSPENSE DATES.
- PRE-SCREEN INVESTIGATIVE FORMS TO ENSURE ACCURACY.
- FOLLOW UP WITH THE S&IC WHEN YOU HAVE QUESTIONS.
- DO NOT SUBMIT MBI, LBI, BI, SSBI OR PRI PRODUCTS TO OPM. THIS CAUSES CONFUSION AND DELAYS IN PROCESSING. DO NOT COMPLETE PART ONE OF THE INVESTIGATIVE FORM. THIS IS TO BE COMPLETED BY S&IC STAFF.
# Presentation: 859525

## DocDB

- Is primarily a database to store documents & their metadata
- w/ some features added to organize meetings
- Is open source, supported by Eric Vaandering (Vanderbilt Unitversity)
- http://sourceforge.net/projects/docdb-v
- Features:
- Rich definition of “document”
- Can be a collection of files
- Versioned
- Rich metadata syntax
- Title, abstract, keyword, notes; Submitter, author; Document type; Topics & groups, events & groups,
- Several authentication methods:
- Unauthenticated public access (read-only)
- Passwords
- DOE Grid & Fermilab KX509 certificates
- Group-based access control lists
- Created & administered by DocDB administator/librarian
- Status:
- In production, supported, and widely used at Fermilab
- CD supports server for:
- _[Accelerator Division](http://beamdocs.fnal.gov/)_ _[EPP Small Experiments](http://epp.fnal.gov/)_ _[FOCUS Collaboration](http://docdb.fnal.gov/FOCUS-public/DocDB/DocumentDatabase)_ _[ILC (Demo)](http://docdb.fnal.gov/ILC-public/DocDB/DocumentDatabase)_ _[LARP](http://larpdocs.fnal.gov/)_ _[Dark Energy Survey](http://des-docdb.fnal.gov/)_ _[LArTPC](http://lartpc-docdb.fnal.gov/)__[ Collaboration](http://lartpc-docdb.fnal.gov/)_ _[MINOS Collaboration](http://minos-docdb.fnal.gov/)_ _[MINERvA](http://minerva-docdb.fnal.gov/)__[ Collaboration](http://minerva-docdb.fnal.gov/)_ _[NOVA Collaboration](http://nova-docdb.fnal.gov/)_ _[Open Science Grid](http://osg-docdb.opensciencegrid.org/)_ _[US-CMS Project Office](http://uscms-docdb.fnal.gov/)_
- & there are other servers

## InDiCo

- Is primarily a tool for organizing meetings & conferences
- Not a document database
- Is open source, supported by CERN IT
- _[http://cdsware.cern.ch/indico/](http://cdsware.cern.ch/indico/)_
- Features:
- Rich features for organizing meetings & conferences
- Easy to set up simple meetings
- Handles quite complex meetings (parallel sessions, etc.)
- See CHEP 2006 site
- _[http://indico.cern.ch/conferenceProgram.py?confId=048](http://indico.cern.ch/conferenceProgram.py?confId=048)_
- Very nice features for maintaining calendars & views
- Less rich document & metadata features
- Document “type” + conference/meeting info
- Limited search capability (or haven’t discovered it yet)
- Authentication:
- Password-only
- Users create own accounts
- (Would want to add certificate authentication)
- Status:
- Prototype in “pre-production” at Fermilab
- In conjunction with Accelerator Division
- In use, at CERN, by CMS & ILC
- See _[http://indico.cern.ch/](http://indico.cern.ch/)__ for usage at CERN_
# Presentation: 832694

## Products expressed in terms of climate anomalies

- By Yuejian Zhu and Zoltan Toth
- June 17th 2005

## Input data (current available)

- NCEP/NCAR reanalysis data (or opr. Analysis)
- 4 cycles (00UTC, 06UTC, 12UTC and 18UTC) per day
- 40 years (Jan. 1st 1959 – Dec. 31th 1998)
- Need to consider the systematic difference between reanalysis to operational forecast
- Resolution and format
- 2.5*2.5 (lat/lon) grid, GRIB-1 format
- 1.0*1.0 (lat/lon) grid, GRIB-1/2 (option)
- Variables at levels (possible to add more)
- Height: 1000hPa, 700hPa, 500hPa, 250hPa
- Temperature: 2m, 850hPa, 500hPa, 250hPa
- Wind: 10m, 850hPa, 500hPa, 250hPa
- Relative humidity: 700hPa
- PRMSL, precipitation, max/min temperature

## Climatological mean (estimation)

- To consider seasonal cycle of climatology
- Daily mean (less data samples – 40 )
- Monthly mean (large data samples – 1240)
- Interpolate to daily (shifted from season)
- 5-day running mean for daily climatology
- Data samples – 200
- 5-day center weighted mean for monthly climatology
- Data samples - 200

## Data fitting processes

- For each grid point:
- Data size of 40 (year) * 31 (dom for Jan) = 1240
- Fitting distributions (three-parameter)
- Gamma, Pearson type-III, GE3 (generalized extreme-value) and etc.
- Pearson type-III, GE3 (generalized extreme-value)
- Estimation of mean
- Sample mean
- 5-day center weighted mean
- (d-2)*0.12+(d-1)*0.22+d*0.32+(d+1)*0.22+(d+2)*0.12
- Other possibility
- Try to learn Bayesian Processor Output (BPO)
- Other fitting methods

## GEV

- Monthly mean
- 5-day weighted mean

## GEV

- Monthly mean
- 5-day weighted mean

## Monthly mean

- GEV

- PE3

- PE3

- 5-day weighted mean

## Example of probabilistic forecast in terms of climatology
# Presentation: 737906

## The Plastics Industry Trade Association

## Plant Energy AssessmentWexco Corporation 

**Peter H. Jones**
**President**

## Background Information

**12 SPI members participated nationwide**
**Industrial Assessment Center **
**Managed by Rutgers Univ.**
**Sponsored by Dept. of Energy**
**Conducted by NC State Univ.**

## Assessment Methodology 

**Documentation provided prior:**
**Wexco background information**
**Financial and usage data**
**On-site assessment:**
**7 persons (NCSU Dept. of Mechanical and Aerospace Engineering)**
**One day in duration**
**Subsequent analysis and recommendations**

## Recommendations

**Six primary items including:**
**Specific recommended actions**
**Anticipated savings**
**Implementation (including costs)**
**Additional items (not quantified)**
**Energy financing options**

## Results and Conclusions

**Results:**
**One primary item implemented**
**One primary item in process**
**Remaining items not currently considered **
**Several additional recommendations done**
**Conclusions:**
**Accurate analysis/helpful recommendations**
**Professionally done/ very cost effective**
**Highly recommend it to other companies**
# Presentation: 300814

## 	FUTURE RHESSI IMAGING SOFTWAREDEVELOPMENTS

- E.J. Schmahl RHESSI Workshop, SSL/UCB, Oct 2004 (Revised December 2005)

-  The Stacker
-  RHESSI Visibilities
-  Harmonics

- The interlocking topics I address are:

- E.J. Schmahl RHESSI Workshop, SSL/UCB, Oct 2004

- THE STACKER
-    What it does

-   Adds successive modulation profiles in phase      note that one can't just add successive rotations!
-  Bins the phases and roll angles    n_phz_bins = 4 (minimum)     n_roll_bins = the number within one rotation
- Returns a structure much like the original calib_eventlist

-      .count
-     .roll_angle
-     .phase_map_ctr
-     .livetime

-       .gridtran
-     .modamp
-     .backgound
-     .flux_var

## Why Stack?

-    Compresses the data into the minimum # of        independent quantities
-    Multi-rotation stack can be handled rapidly by        imaging algorithms
-    Since datagaps are filled in, profiles are "human        friendly"
-    Makes calculation of amplitudes & phases        straightforward
-    Instrumental characteristics and background         now can be removed

## Examples

-   Simulated ideal profiles and stacked profiles
-   Real profiles (9 dets)
-   Stacks (2002 Jun 01 03:56:00-03:56:43)

## Roll-phase bin

## RHESSI Modulation Profiles, warts and all

## Stacked RHESSI Modulation Profiles

## VISIBILITIES

-  -- WHAT ARE THEY?

-   A "Visibility" is a vector (amplitude, phase)    characterizing a modulation cycle.
-  This is conveniently represented by the        complex variable, amplitude*exp(i*phase)
-  Every modulation cycle of a RHESSI subcollimator     can be represented by a single visibility
-  Amplitudes & phases (and therefore, visibilities) can be      derived readily from stacked modulation profile.

## WHY USE VISIBILITIES?

-   Compresses the data into the minimum # of    independent quantities
-   Instrumental characteristics and background      have been removed
-   A "dirty" image can be created by a vector sum      of visibilities
-   FFTs can speed up the imaging process for       MEM, FwdFit, etc.
-   Radio astronomy algorithms become available       for RHESSI imaging

## EXAMPLES

-   Amplitudes and phases computed using an FFT      of a model Gaussian
-   Amplitudes on RHESSI uv circles
-   Amplitudes and phases computed for a RHESSI     flare

## Model Gaussian and its Fourier Amplitudes

## Model Gaussian's  Fourier Phases

## HARMONICS

- Ideal collimator response

## RESPONSE FUNCTION WITH SHADOWING AND SLIT/SLAT > 1

## General collimator response

- When 3 harmonics are included in the collimator response, there are 3 amplitudes a1, a2 & a3
- and 3 phases, 1,2 & 3.

## Present UV Coverage

## UV Coverage with 2nd Harmonic

## Enhancements due to adding Harmonics

-  2nd harmonic fills in between UV circles                        (like adding a subcollimator)                        improves fine resolution to 2.3/2 = 1.1”
-  3rd harmonic improves fine resolution to 2.3/3 = 0.8”                       grid 4 replaces grid 2
-  Sources far from spin axis will have better photometry
# Presentation: 219015

## Intensity Dependent Quad Ramps

- We know that in order to get the most intensity, the quad ramps must be tuned for a particular intensity.
- The way this is implemented now is to have a separate set of quad ramps for each number of turns in B4.  This represents an operational headache, and an opportunity for big scew-ups (e.g. going from 7 to 8 turns could result in pathological ramps being loaded).
- I suggest that we develop an application to automatically populate the quad ramp tables based on one, or possibly two and tuned ramps.

## Ideas to Populate Quad ramps

- Hand tune one quad ramp (probably the high intensity), then populate other ramps based on measured intensity-dependent tune-shift.
- Pros – straightforward, only requires one ramp to be tuned.
- Cons – Only measure coherent tune-shift; maybe not the whole story.
- Hand tune quad ramps for two intensities, then populate the other ramps based on a linear interpolation between the two.
- Pros – We typically only care about two intensities (stacking and MiniBooNE), and this allows us to optimize them.
- Cons – Algorithm a little more complicated. Still doubles the number of ramps which must be maintained by hand.
- Other suggestions?

## Projects on the Table (my impression)

- Collimator Project:
- Design almost complete.
- Review almost passed.
- Three secondary collimators will be assembled below the high bay and be ready for installation in the summer shutdown.
- Most of the effort (at the moment) outside the Booster group.
- RF Prototype Project
- Two 5” aperture cavities being constructed.
- Significant machining being done at NuMI and MiniBooNE universities.
- Parts rolling in, complete by end of April.  Assembly will begin at MI-60.
- Should be ready for installation in summer shutdown (replace RF11 and RF15?)

## Projects (cont’d)

- EDWA Magnet (Wide aperture MI-8)
- Ready for some time now
- Will take four weeks to install over summer shutdown.
- Vacuum upgrades
- Reggie in charge
- Power supplies being modified
- Working on controller
- Cable pulls complete?
- Finished in summer shutdown?
- ORBUMP issues
- Jim in charge
- Modifying water system and rebuilding inductors – next few weeks
- New SCR network – just upped in priority – summer shutdown?
- New capacitors – off the shelf, soon?
- New controller – investigating, maybe use MP02 design.

## Projects (cont’d)

- Doglegs
- Plan to proceed with Jim’s “anti-septum” pulsed design – meeting next week.  Timescale – year or two?
- What to do about plans for new MP01, ML01, ML02, etc??
- What about summer? (3 legged dog?, MI-8 dump?)
- Kickers
- Cliff Foster about to fabricate one out of spare ferrites with TD watching.
- New ferrite ordered.
- Eventually transfer the construction process to TD.
- TLM system
- Ray and Yon Liu had two prototypes in and being tested.
- Timescale?

## Projects

- Various notching projects
- Resonant notching?
- Early notching (chopper at Preacc).
- Laser 37 MHz chopping?
- Where do these stand?
- Maintenance issues:
- Low voltage power supplies?
- Other things which could kill us?
# Presentation: 580407

## Follow-up: NIH Peer Review Scoring Scale

**Dr. Norka Ruiz Bravo**
- Deputy Director for Extramural Research, NIH

**Introduction and Orientation**

**Peer Review Advisory Committee**26 September 2005

## NIH Peer Review System

**The NIH peer review system is one of the best, if not **_***the***_** best, in the world**
** ****It is widely copied**
** ****It has allowed NIH to identify excellent ****  science to fund**
-   The cornerstone of the tremendous success of the NIH      extramural program is peer review
-   NIH-sponsored research has extended and improved      human lives in the United States and around the world

## NIH Peer Review System...It Works!

**~ 407,000 Projected Deaths * **

**200**

**100**

**50**

**0**

**150**

**Deaths Per 100,000**

**50**

**55**

**60**

**65**

**70**

**75**

**80**

**85**

**90**

**95**

**00**

**~ 166,000 Actual Deaths**

**Coronary Heart Disease**
**Age-Adjusted Death Rates:** **241,000 Deaths **
**Prevented in 2000**

**500**

**400**

**300**

**200**

**100**

**0**

**50**

**55**

**60**

**65**

**70**

**75**

**80**

**85**

**90**

**95**

**00**

**Deaths per 100,000**

**Year**

**~ 514,000 Actual Deaths in 2000**

**~ 1,329,000 Projected Deaths**
**	****      ****in 2000**

**Reduction in Stroke     Age-Adjusted Death Rates:** **815,000 Deaths Prevented in 2000**

## NIH Peer Review SystemScoring Scale

**If the system is work well then why are we reconsidering the scoring scale?**
**No system is perfect**
**Needs can change over time**
- Therefore, we should _constantly _and _critically_ ask:
**Has the environment changed?  How does the ****system fit in the present environment?**
**Has the state of the art/science underpinning ****the process changed?**
**What might be improved?**

## Today’s Conversation A Critical Look at the Scoring System

**How did NIH arrive at the scoring system that it currently uses?**
- What were the considerations during the most recent examination of the scoring system?
- Why did NIH choose as it did?
**What has changed?**
- Has the field of decision making made advances since the last examination of the scoring scale that should be considered?
- Is information that would be valuable to decision-makers lost in our current system?
**What should NIH do next?**

## Next Steps What Should NIH Do Next?

**Should NIH formally examine its peer review system?  (e.g., Working Group process)**
**What does NIH stand to gain or lose?  What would be the impact of changes?**
**What are the possibilities**
**Report variance of reviewer scores or “votes”?**
**Alter the number of potential bins?**
**Scoring individual review criteria?**
**Other possibilities?**
**Next Steps?**
# Presentation: 125878

## Network Measurements as OGSI Service Data

- Network measurements are another form of meta-data
- OGSI provides standard mechanisms for accessing meta-data
- The ServiceData element is a wrapper around service specific meta-data and state
- ServiceDataValue element can contain arbitrary XML
- {find,set}serviceData portType defines standard mechanisms for querying and setting service data elements

## What does this buy me?

- Allows usage of standard OGSI service tooling
- Service lifecycle, security, notification, and creation services
- Can use standard query engines in OGSI implementations
- Find by element name
- XPath, or Xquery
- Could have multiple bindings to the query functions
- Allows returning of SDE’s in multiple encodings, e.g., an efficient binary format
- XMLSchema definitions of NM data will allow usage in OGSI, but does not preclude other uses
# Presentation: 663355

## Cloud Occurrence at Arctic Atmospheric Observatories

***Matthew Shupe, Taneil Uttal, ***
***Daniel Wolfe, David Welsh***

***AMS Polar Meteorology and Oceanography 2007***

- Special Thanks for Ny’Alesund MPL Data*:*
*Masataka Shiobara, James Campbell*

## Arctic Cloud Stations

**Arctic Cloud Stations**

**Barrow**

**SHEBA**

**Eureka**

**Alert**

**Ny’Alesund**

**Tiksi**

- Radar

- Lidar

***An Example Station***

**Summit**

## Observatories

| Site | Instruments | Dates |
| --- | --- | --- |
| SHEBA, Arctic Ocean | Radar, lidar, ceilometer | 1997-1998 |
| Barrow, USA | Radar, lidar, ceilometer | 1998 – Present |
| Ny’Alesund, Norway | Lidar | 2002 – Present |
| Eureka, Canada | Radar, lidar | 2005 – Present |
| Alert, Canada | Ceilometer | ? |
| Tiksi, Russia | None yet | Not yet |
| Summit, Greenland | None yet | Not yet |

**Observatories**

## Data Processing Considerations

** ****Use a combination of cloud radar and lidar, depending on station**
** “****Cloud fraction” is from the perspective of vertically-pointing, surface-based instruments**
** ****All but SHEBA must be considered preliminary in nature, more detailed multi-instrument analyses will follow**

## Total Cloud Fraction

** ****Summer/Fall maximum?**

**Total Cloud Fraction**

**Radar**

**Lidar**

**Surface observations**

## Vertical Distribution

**Bimodal Dist’n in Vertical**

**Lots of Low-level Clouds**

**Radar**

**Lidar**

## Annual and Vertical Distribution

**Annual and Vertical Distribution**

## Cloud Type 

** ****Manually classified.  Automated system has been developed but not yet applied to all observations at all sites. **
** ****1 year of data at SHEBA and 7 years at Barrow.  **

**Cloud Type **
**Classification**

## Annual Cycles of Cloud Type

**Annual Cycles of Cloud Type**

** ****Mixed-phase clouds: Maxima in transition seasons.**
** ****Similar trends and magnitudes between SHEBA and Barrow**

## Occurrence of Cloud Liquid

**Liquid is present throughout the year more than half of the time!**

**Occurrence of Cloud Liquid**

## Vertical Distributions of Cloud Type

** ****Remarkable similarities**
** ****Slightly different balance at surface.**

**Vertical Distributions of Cloud Type**

## Annual & Vertical Dist’n of Type

**Annual & Vertical Dist’n of Type**

## Conclusions

** ****Remarkable similarities in vertical.**
** ****Similar dist’n of phase for W. Arctic sites.  **
** ****Liquid is frequent (and important!)**

** ****Radar-lidar combination at all sites.**
** ****Classification work at all sites using new algorithm.**
** ****More detailed analysis of boundaries**

**Conclusions**

**Future Work**

***Thank You.***
# Presentation: 029004

## Group C Summary

*Session 3: Federal-Regional Relations with a Focus on Optimizing Designs*

- 2nd Integrated Ocean Observing System (IOOS) Regional Coordination Workshop
- Oct. 23-25, 2007  St. Petersburg, FL

## 3c.  Regional designs are developed and refined in a way that is optimized with respect to regional and national requirements (and vice-versa);

Questions to help lead discussion above:

What are examples where the relationship has worked well?
What are examples where the relationship has not worked well?
What are critical steps in the process that must take place for outcome to be effective?
What steps could be taken to improve the interaction?
How much guidance should come from top down versus bottom up?

- Questions to help lead discussion above:
- What are examples where the relationship has worked well?
- What are examples where the relationship has not worked well?
- What are critical steps in the process that must take place for outcome to be effective?
- What steps could be taken to improve the interaction?
- How much guidance should come from top down versus bottom up?

## Federal/RA relations very good at regional level – lots of success stories
EPA, Interior (e.g. USGS, MMS), COE, Navy, DHS, NOAA
Challenge is communicating success up through agency partners and into IWGOO
Need to educate IWGOO members where there is existing IOOS engagement by their agency
Conceptual designs are the communication vehicle to federal agencies 

- EPA, Interior (e.g. USGS, MMS), COE, Navy, DHS, NOAA
- Challenge is communicating success up through agency partners and into IWGOO
- Need to educate IWGOO members where there is existing IOOS engagement by their agency
- Conceptual designs are the communication vehicle to federal agencies

## USGS WQMN (EPA, USGS, NOAA)
Navy (outside Monterey & NGOMX)
Emerging Regional Ocean Governance
Understanding Federal Agency Build-Out Plans
EPA Advanced Monitoring Initiative (GEOSS)
Federal Assets/capacity needs to be improved

- Navy (outside Monterey & NGOMX)
- Emerging Regional Ocean Governance
- Understanding Federal Agency Build-Out Plans
- EPA Advanced Monitoring Initiative (GEOSS)
- Federal Assets/capacity needs to be improved
# Presentation: 763591

##            MD 715 at a Glance

**               ****Using a Variety of Sources**
** ****Take, review and refine compulsory snapshots**
** ****Take additional snapshots where needed**
** ****Review other information sources**
** ****Analyze ALL employment processes**

**                           ****Barrier Elimination:**
** ****Devise a Plan to address barrier root causes**
** ****Determine whether barriers are job-related****   and consistent with business necessity.  If****   not, plan to eliminate.**
** ****Consider modifications even where barriers****   are job-related and consistent with business****   necessity.**
** ****Report plan and progress to the EEOC****   annually.**

**                   ****Assess Success of Plan:**
** ****Track Progress; should be measurable**
** ****Hold agency officials accountable**
** ****Periodic re-assessments should be****   done to discover if plan needs****   adjustment.**

-                **Investigate to Pinpoint Actual**
**                       ****Barriers and Causes:**
** ****With workforce data, determine appropriate****benchmarks, compare rates, and note net ****changes**
** ****Heed triggers from other sources**
** ****Pinpoint barriers and determine root causes**

**           ****MD 715 at a Glance**

**Notes:**
This chart will basically give you an idea of the flow of MD-715 monitoring and reporting.
# Presentation: 262534

## Content Standards for Digital Geospatial Metadata

**Mandatory**

**Legend**

***Mandatory***
***If***
***Applicable***

## Section 1

**Access**
**Constraints**

**Use**
**Constraints**

**Data Set**
**Credit**

**Native**
**Data Set**
**Environment**

**Section 1**
**Identification Information**

## Section 2

**Section 2**
**Data  Quality Information**

## Section 3

**    **

**OR**

**Section 3**
**Spatial Data Organization**
**Information**

## Section 4

***Vertical***
***Coordinate***
***System***
***Definition***

***Horizontal Coordinate System Definition***

**OR**

**OR**

***Altitude***
***System***
***Definition***

**Altitude**
**Datum Name**

**Altitude**
**Resolution**
**(Can be repeated**
**unlimited times)**

**Altitude**
**Distance Units**

**Altitude**
**Encoding Method**

**Section 4**
**Spatial Reference**
**Information**

## Section 5

***Attribute (Can be repeated unlimited times)***

**Attribute Label**

**Attribute Definition**

**Attribute Definition Source**

**Attribute Domain Values ****(Can be repeated unlimited times)**

**Range Domain**

**Range Domain**
**Minimum**

***Attribute***
***(See “Attribute”***
***above)***

**Range Domain**
**Maximum**

**Unrepresentable**
**Domain**

**AND/OR**

**Overview Description**
**(Can be repeated**
**unlimited times)**

**Entity**
**and**
**Attribute**
**Overview**

**Entity**
**and**
**Attribute**
**Detail**
**Citation**
**(Can be**
**repeated**
**unlimited**
**times)**

**OR**

**OR**

**OR**

**Section 5**
**Entity and Attribute**
**Information**

**Attribute Units **
**of Measure**

**Attribute**
**Measurement**
**Resolution**

## Section 6

***Standard Order Process (Can be repeated unlimited times)***

**Non-digital Form**

**OR**

**Digital Form (Can be repeated unlimited times)**

**Digital Transfer Information**

**Format Name**

**Format Information Content**

***File Decompression Technique***

**Transfer Size**

**Digital Transfer Options (Can be repeated unlimited times)**

**Online Option**

**OR**

**Access Instructions**

**Online Computer and Operating System**

**Fees**

**Turnaround**

**Ordering Instructions**

***(Can be repeated unlimited times)***

**6.4**

**Computer Contact Information**
**(Can be repeated unlimited times)**

**OR**

**Section 6**
**Distribution Information**

## Section 7

**Metadata**
**Date**

**Metadata**
**Review**
**Date**

**Metadata**
**Future**
**Review**
**Date**

**Section 7**
**Metadata Reference**
**Information**

**Metadata**
**Extensions**

**Online**
**Linkage**

**Profile **
**Name**

## Time Period Information

**Time Period Information**

**OR**

**OR**
# Presentation: 763466

## Missing Et in Z Candidates

- Z Candidate Selection
- ReReco with 10.08.01
- Results without NADA
- Results with NADA
- Summary

- Tom Diehl
- Nov 15th, 2001

## Data & Event Selection

- Data Sample: Root-tuples from t1.56 & p10.04
- Selection Criteria (2 of ):
- ET(EM)>12.5 GeV
- Not ( Emfrac=1 & Iso=0)
- -0.05 < isol < 0.2
- 1.05 > Emfrac > 0.9
- H(41)<200
- Ratio (EfineHad/ETot) < 0.01
- Picked the raw data (123 events) stored at /usrdisks/714/fnal_3/diehl/run2/wze*/zcandidates/*.raw

## Reco 10.08.01     (No Nada)

- MET is clumpy vs. Run Number
- Later runs have lots less MET

## Reco 10.08.01     (No Nada)

- SUM ET is clumpy vs. Run #, too.
- Later runs have lots less SET

## Reco 10.08.01     (No Nada)

- MET Details

## Reco 10.08.01     (Yes Nada)

- Still clumpy w/ run number almost exactly the same values. Sum ET also.

## Reco 10.08.01     (Yes Nada)

- MET details

## Muon Corrected MET

- Some people are working to hustle it into existance.

## Summary

- Looking at Z->ee candidates
- Good News
- There doesn’t seem to be significant damage on this data
- Bad News
- There doesn’t seem to be significant improvement to this data
- Main Improvement seems to be polish applied directly from the control room and on detector.

## END of Presentation

- Beginning of storage slides
# Presentation: 261102

## Federal Agencies and Electronic Commerce

**Richard A. Guida, P.E.**
**Member, Government Information Technology Services Board**

**Richard.Guida@cio.treas.gov; 202-622-1552**
**http://gits-sec.treas.gov**

## E-Transactions Drivers

**Long-term cost savings (e.g., SSA)**
**Trading partner practices**
**Public expectations**
**Statutes (GPEA)**
**Administration policy (Access America)**
**International competition**

## Challenges All Applications Face

**Authentication of Users**
**Non-repudiation for transactions**
**Confidentiality (privacy)**
**Interoperability**
**Liability**
**Scalability/extensibility**

## Public Key Technology

**Authentication**
**Technical non-repudiation**
**Data integrity**
**Confidentiality**
**Interoperability**
**Scalability/extensibility**

## How PK Technology Works

- Two keys, mathematically linked
- One is kept private, other is made public
- Private not deducible from public
- For digital signature: One key signs, the other validates
- For confidentiality: One key encrypts, the other decrypts

## Federal PKI Landscape

## Federal PKI Steering Committee

- Over 50 members from two dozen agencies
- Three Working Groups
- Business
- Technical
- Legal and Policy
- Minutes/activities on the web
- http://gits-sec.treas.gov
# Presentation: 535378

##  NAEFS Data Exchange     

**Yuejian Zhu****2**** , Bo Cui****1****, **
**Poulin Lewis3,****  ****Richard Wobus****1, ****Zoltan Toth****2**** **
-  1SAIC at Environmental Modeling Center, NCEP/NWS
- 2Environmental Modeling Center, NCEP/NWS
-  3Canadian Meteorological Centre, Meteorological Service of Canada

## NEXT NAEFS exchange pgrba files

|  Variables | pgrba file | Total 78 (26) |
| --- | --- | --- |
| GHT | Surface, 10, 50, 100, 200, 250, 500, 700, 850, 925, 1000hPa | 11 (3) |
| TMP | 2m, 2mMax, 2mMin, 10, 50, 100, 200, 250, 500, 700, 850, 925, 1000hPa | 13 (3) |
| RH | 2m, 10, 50, 100, 200, 250, 500, 700, 850, 925, 1000hPa | 11 (3) |
| UGRD | 10m, 10, 50, 100, 200, 250, 500, 700, 850, 925, 1000hPa | 11 (3) |
| VGRD | 10m, 10, 50, 100, 200, 250, 500, 700, 850, 925, 1000hPa | 11 (3) |
| PRES | Surface, PRMSL | 2 (0) |
| PRCP (types) | APCP, CRAIN, CSNOW, CFRZR, CICEP | 5 (0) |
| FLUX (surface) | LHTFL, SHTFL, DSWRF, DLWRF, USWRF, ULWRF | 6 (6) |
| FLUX (top) | ULWRF (OLR) | 1 (1) |
| PWAT | Total precipitable water at atmospheric column | 1 (0) |
| TCDC | Total cloud cover at atmospheric column | 1 (0) |
| CAPE | Convective available potential energy | 1 (0) |
| SOIL | SOILW(0-10cm), WEASD(water equiv. of accum. snow depth), SNOD(surface), TMP(0-10cm down) | 4 (4) |
|  |  | 26 new vars |
| Notes | Surface GHT is only in analysis file and first pgrb file when the resolution changed.
23 of 26 new variables are from pgrbb files, 10, 50hPa RH and SNOD are new variables |  |

- _NEXT NAEFS exchange pgrba files_

## NEXT NAEFS pgrba_bc files

|  Variables | pgrba_bc file | Total 48 (13) |
| --- | --- | --- |
| GHT | 10, 50, 100, 200, 250, 500, 700, 850, 925, 1000hPa | 10 (3) |
| TMP | 2m, 2mMax, 2mMin, 10, 50, 100, 200, 250, 500, 700, 850, 925, 1000hPa | 13 (3) |
| UGRD | 10m, 10, 50, 100, 200, 250, 500, 700, 850, 925, 1000hPa | 11 (3) |
| PRES | Surface, PRMSL | 2 (0) |
| VGRD | 10m, 10, 50, 100, 200, 250, 500, 700, 850, 925, 1000hPa | 11 (3) |
| FLUX (top) | ULWRF (toa - OLR) | 1 (1) |
|  |  | 13 new vars |
| Notes |  |  |

- _NEXT NAEFS pgrba_bc files_
- _(bias correction)_

## Summary and Future Work

- NECP GRIB2 data ( 78 variables for exchange) has been scheduled for implementation Jan. 2009 (?)
- CMC GRIB2 format data
- Use the same product identifiers in code and table as NCEP
- Works with NCEP inventory software
- CMC data processes in NCEP: software develop
- Convert to GRIB1 format data for next step bias correction and maintain NAEFS data processes
- Output CMC ensemble post products in both GRIB1 and GRIB2
- Waiting for GFS-Post to encode GRIB2 directly
- We will use CMC GRIB2 data directly
- No additional data format conversion

## List of Variables for Bias Correction, Weightsand Forecast Anomalies for CMC & NCEP Ensemble
# Presentation: 813867

## Spokane’s Motor Vehicle I/M Program

- Addressing Environmental Justice While Reducing Tailpipe Emissions
- August 10, 2004

## The Problem

- Auto Emissions Repairs Expensive
- Low-Income Disproportionately Affected
- Drive Older Cars
- Limited Funds For Repair/Upkeep
- Vehicles More Prone to Failure
- $150 Waiver Limit Discourages Repairs

## Program Partners

- Spokane County Air Pollution Control Authority
- Spokane Neighborhood Action Programs
- Washington Department of Ecology
- ~ 20 Local Certified Repair Shops

## Program Steps

- Vehicle Fails Emissions Test
- Program Brochure Provided to _All_ Owners of Failed Vehicles
- SNAP Pre-Qualifies as Low Income & Refers Clients to Approved Repair Shops
- Motor Vehicle Repaired & Re-Tested
- Shops Invoice SNAP for Repairs

## Program Details

- Up to $100 for Emissions System Diagnosis
- Up to $400 for Repairs
- State Agency Authorizes Repairs in Excess of $300
- State Agency Referees Disputes Over Repairs & Their Cost

## Program Funding

- SEPs Through Two Large Civil Settlements With Major Industrial Facilities
- The Future???
- A “Challenge Grant” to be Matched Through Solicitations of Spokane Area Companies
- Beyond???

## Determining Emissions Credit

- The Problem
- How to translate emission test results from individual motor vehicle repairs into mass emissions reduced?
- Before & After Tests Results Yield Pollutant Concentration Data
- Actual Emissions Reduced Depend on Subsequent Use of the Motor Vehicle

## Determining Emissions Credit

- Source:  _Calif Smog Check II Evaluation_, I/M Review Committee Report, 6/19/00, Appendix D Tables.
- Emissions Improvement by Model Year
- Assumption:  All Motor Vehicles in the Same Model Year Achieve the Same Average Emission Reduction

## Program Statistics

## For More Information...

- Eric Skelton, Director
- Spokane County Air Pollution Control Authority
- 1101 W. College Ave., Suite 403
- Spokane, WA 99201
- (509) 477-4727 x 121
- epskelton@scapca.org
# Presentation: 410018

## MAIL BOMB RECOGNITION

- Cheryl L. Wieser
- Regional Security Officer
- 206-526-6653

## REASONS  FOR SENDING A MAIL BOMB

- Revenge
- workplace violence
- Love Triangle
- Business Disputes
- Extortion
- Terrorism
- political motivation

## TWO TYPES OF BOMBS

- Placed Bombs:
- Are placed by an individual.  These devices can be triggered by any one of a number of methods
- These include hand delivered packages

- Mail Bombs:
- Are sent through the US Postal System or delivered by a commercial package service including UPS, Fed Ex, or a common carrier such as a local trucking company.

## METHODS TO TRIGGER PLACED BOMBS

- Timer
- Motion
- Proximity switch
- Light activated
- Trigger when opened
- Unstable elements
- Poor workmanship

-   Electric or mechanical
-   Mercury switch
-   Introduced object
-   Light on or off
-   Tripped by opening
-   Age or design flaw
-   Premature activation

## TRIGGERING MAIL BOMBS

- Are often limited to one primary method, that of opening the package.  Since mail bombs are designed to pass through the mail system, the ones that actually get delivered are usually fairly rugged, since they have passed sorting, canceling and various routing & transportation operations.

## COMMON CHARACTERISTICS OF LETTER & PARCEL BOMBS

- TYPE OF MAIL:
- FOREIGN, PRIOROTIY, SPECIAL DELIVERY
- RESTRICTIVE MARKINGS:
- CONFIDENTIAL, PERSONAL, TO BE OPENED BY ADDRESSEE ONLY

## COMMON CHARACTERISTICS

- VISUAL DISTRACTION: FRAGILE, RUSH, HANDLE WITH CARE
- EXECESSIVE POSTAGE (USUALLY POSTAGE STAMPS)

## COMMON CHARACTERISITICS

- FICTICIOUS OR NO RETURN ADDRESS
- POORLY TYPED OR HANDWRITTEN ADDRESS
- INCORRECT TITLES

## COMMON CHARACTERISTICS

- TITLES BUT NO NAMES
- MISSPELLINGS OF COMMON WORDS
- OILY STAINS OR DISCOLORATIONS

## COMMON CHARACTERISTICS

- EXCESSIVE OR UNEVEN WEIGHT DISTRIBUTION
- EXECESSIVE BINDING MATERIAL:
- MASKING, ELECTRIC OR STRAPPING TAPE, STRING, TWINE

## COMMON CHARACTERISTICS

- RIGID, LOPSIDED OR UNEVEN ENVELOPE
- PROTRUDING WIRES, SCREWS OR OTHER METAL PARTS
- POSTMARK DIFFERENT FROM RETUN ADRESS

## WHAT TO DO

- Restrict access
- Do not open
- Do not cover
- Move once
- Isolate
- Open area
- Keep dry
- Call Police

-   Keep people away
-   Make no attempts
-   No covers or blankets
-   No unnecessary handling
-   Isolate in dry area
-   Do not enclose package
-   Do not place in water
-   Ask for Bomb Squad

## SUMMARY

- LOOK FOR THE UNUSUAL
- ALWAYS ERR ON THE SIDE OF YOUR SAFETY

## QUESTIONS??
# Presentation: 290371

## Recommendation: Data Management Plans

- Required of all proposals
- Placed in Supplementary Documentation
- Items that may be included:
- Types of data
- Standards to be used
- Provisions for access and protection
- Plans for preservation
- Merit review determines what is appropriate
- Adherence evaluated in annual and final reports

## Community-based Data Interoperability Networks (INTEROP)

- The ability to exchange  and use information
- Robust data and metadata conventions, ontologies and taxonomies
- 7 awards (2 in SBE) were made in FY2008
- $250,000 total costs per year for three to five years
- July 23, 2009 target date
- Program Solicitation:  NSF 07-565

## Sustainable Digital Data Preservation and Access Network Partners (DataNet)

- New types of organizations to provide reliable digital preservation
- Each award up to $20M for up to 5 years; renewal for another 5 years
- 2 awards recommended; 2 to 3 expected in this next round
- Due date for preliminary November 2008
- Program Solicitation: NSF 07-601

## International Blue RibbonTask Force to Address CriticalChallenge of the Information Age:Economic Sustainability and Preservationof Society’s Most Valuable Digital Data

- Dr. Fran Berman

- Dr. Brian Lavoie

##  Task Force Reports

- First report provides a synthesis of the literature.  Draft under review.
- Second report with recommendations will come out next year.

## E-Social Science International Conferences 

**3rd Conference Michigan            last October**
**4th Conference Manchester, UK last June**
**5th Conference Cologne, Germany next June **

## SBE Cyberinfrastructure Portfolio

**Rough** **estimate $20.5 million per year**

- Large Scale Data Infrastructure,
- Advanced Modeling and Simulation Systems and
- Virtual Laboratories

##  Challenge: SBE-wide Cyberinfrastructure

- Human and Social Dynamics: Multi-disciplinary, Cross-disciplinary Resources
- Examples:
- Cyber-enabled Discovery and Innovation,
- Dynamics of Coupled Natural and Human Systems,
- Adaptive Systems Technology
# Presentation: 737772

## Sexual Harassment

- ZERO TOLERANCE
- Not Only Is Sexual Harassment Wrong,
- IT IS AGAINST THE LAW!

- If you believe you have been subjected to discrimination based on sexual harassment, _you must contact an EEO Counselor or the SEXUAL HARASSMENT HOTLINE within 45 days of the date the discriminatory event occurred._

-  CALL THE HOTLINE
- 1-800-527-8987
- TDD:  202-208-5998
- or  E-mail
- Sexual_Harassment_Hotline@ios.doi.gov**  **

- Know The Law.
- Know Your Rights.
- _Draw The Line._

- _Sexual Harassment_
# Presentation: 261783

**NAME Homepage:**
**http://www.joss.ucar.edu/name**

## Slide 2

## Slide 3

## Slide 4

## Slide 5

## Slide 6

**  ****NAME Science and Implementation Plan**
** **

**NAME Science Working Group***
**                  ****January 2004**

**   ****NAME Modeling and Data Assimilation:  **
**                  ****A Strategic Overview**
** **

**NAME Science Working Group***
**                  ****June 2003**

## PanAm Process Studies Timeline  (June 2003)

- The PanAm panel seeks community input to extend this timeline to 2006 and beyond, striving to optimize contributions to US CLIVAR science goals, driven by:
-    Prioritized research needs and opportunities
-    The national and international programmatic context
-    US funding agency strategic plans

## Slide 10

## Slide 11
# Presentation: 173887

## Weather Briefing

- June 22 10:00 CDT

## Verification

- Yesterday’s Forecast

## Slide 3

## Slide 4

## Observations

## Link to Satellite Loop

- _[http://adds.aviationweather.gov/satellite/displaySat.php?region=US&isingle=multiple&itype=](http://adds.aviationweather.gov/satellite/displaySat.php?region=US&isingle=multiple&itype=ir)__[ir](http://adds.aviationweather.gov/satellite/displaySat.php?region=US&isingle=multiple&itype=ir)_

## Slide 7

- _[http://radar.weather.gov/ridge/Conus/southplains_loop.](http://radar.weather.gov/ridge/Conus/southplains_loop.php)__[php](http://radar.weather.gov/ridge/Conus/southplains_loop.php)_

## Slide 9

## Slide 10

## Slide 11

## Slide 12

## Slide 14

## METARs 

**METARs**
- (9 am CDT)
**PNC**: **Ceiling:** at least 12,000 feet AGL
**Clouds:** few clouds at 1500 feet AGL
**OKC**: **Ceiling:** 20000 feet AGL
**Clouds:** few clouds at 900 feet AGLscattered clouds at 8000 feet AGLbroken clouds at 20000 feet AGL
**END**: **Ceiling:** 800 feet AGL
**Clouds:** broken clouds at 800 feet AGLbroken clouds at 1000 feet AGL

## Slide 17

## Slide 18

## Forecasts

## Slide 20

## Slide 21

## Slide 22

## Slide 23

## Slide 24

## Slide 25

## Slide 27

## Slide 28

- _[http://science.arm.gov/clasic/forecasts.](http://science.arm.gov/clasic/forecasts.php)__[php](http://science.arm.gov/clasic/forecasts.php)_

- _[http://www.nssl.noaa.gov/wrf/sdg/](http://www.nssl.noaa.gov/wrf/sdg/)_

## Extended Outlook

## Slide 32

## Slide 33

## Slide 34

## Slide 35

## Slide 36

## Slide 37
# Presentation: 914944

## Nonlinear electrical currents near a metal-insulator transitionJ. K. Freericks1, A. Y. Liu1, and B. A. Jones2; 1Dept. of  Physics, Georgetown University, 2IBM, Almaden Research CenterDMR-0210717

***Strongly correlated materials*** have the potential for interesting device applications due to their sensitivity to changes in temperature, pressure, or chemical doping (similar to, but *with larger effects than* in semiconductors). In pure materials, attaching them to a battery yields an oscillating current called a **Bloch oscillation**. The steady current that flows through real wires arises from scattering of electrons before they can oscillate. Here we exactly calculate this scattering effect in materials close to a metal-insulator transition. One can see how increased scattering causes the oscillations in the current to decay. ***This work has developed a new computational formalism for solving these kinds of problems, that has been sought after for over 50 years.***

***Current density as a function of time for metals placed in very strong electric fields. The decay of the oscillations with time occurs as the scattering increases (larger U).  The electric field is turned on at zero time.***

**For more information see http://www.physics.georgetown.edu/~jkf/nirt.html**

## Nonlinear electrical currents near a metal-insulator transitionJ. K. Freericks1, A. Y. Liu1, and B. A. Jones2; 1Dept. of  Physics, Georgetown University, 2IBM, Almaden Research CenterDMR-0210717

- Undergraduate student Greg Nelson spent a summer at a research laboratory in Croatia measuring the resistivity and thermopower of tantalum deficient tantalum-nitride.

- Nonlinear electrical currents near a metal-insulator transitionJ. K. Freericks1, A. Y. Liu1, and B. A. Jones2; 1Dept. of  Physics, Georgetown University, 2IBM, Almaden Research Center**DMR-0210717**

- We also conducted four more student interviews
- into the long-term learning of quantum mechanics
- by nonscientists. This work forms the core for a case
- study on retention of abstract concepts related to the
- two-slit experiment for alumni of a quantum mechanics
- and materials science course for nonscientists.
# Presentation: 393237

## Address to the FCBA
by
Commissioner Kevin J. Martin
February 1, 2001

- Address to the FCBA
- by
- Commissioner Kevin J. Martin
- February 1, 2001

## Slide 2

## Slide 3

## Slide 4

## Slide 5

## Slide 6

## Slide 7

## Slide 8

## Your FCC

## All I Really Need to Know 
to Be an FCC Commissioner 
I Learned in Kindergarten

- All I Really Need to Know
- to Be an FCC Commissioner
- I Learned in Kindergarten

## All I Really Need to Know to Be an FCC Commissioner I Learned in Kindergarten

- “Wash Your Hands Before You Eat.”

## All I Really Need to Know to Be an FCC Commissioner I Learned in Kindergarten

- “Share Everything.”
- “Don’t Take Things That Aren’t yours.”

## All I Really Need to Know to Be an FCC Commissioner I Learned in Kindergarten

- “Say You’re Sorry When You Hurt Someone.”
- “Play Fair.”
- “Put Things Back Where You Found Them.”

## All I Really Need to Know to Be an FCC Commissioner I Learned in Kindergarten

- “Be Aware of Wonder.”
- “Look.”
- “Live a Balanced Life.”

## All I Really Need to Know to Be an FCC Commissioner I Learned in Kindergarten

- “When You Go Out Into the World, Watch Out for Traffic, Hold Hands, and Stick Together.”
# Presentation: 790223

## Autonomous Drifting Ocean Station (ADOS)Clearwater Instrumentation, Inc.Watertown, MA

**ACCOMPLISHMENTS**
- Low-cost drifter platform that can be used to gather an enhanced suite of data that is essential for integrating present and future satellite measurements of biological and physical processes with in situ observations.
- Combines ocean color, surface layer thermal structure, and surface winds sensing elements.
- Provides research and observational communities a multi-parameter observing system with products that can be shared by many programs, thus decreasing  costs to each program.
- Achieves low-cost and greatly improved durability by placing autonomous subsurface sensors on inexpensive, robust steel hydrographic wire and facilitating communications between the surface instruments and subsurface components with inductive modem technology.
**COMMERCIALIZATION**
- Potential utilization for research and applied science such as fisheries biology, both in the United States and abroad.

**S****mall**
**B****usiness**
**I****nnovation**
**R****esearch**

- 1996 Phase II, SS5-044; 9/13/00

**GOVERNMENT SCIENCE/APPLICATIONS**
- A NASA scientific project has recently been funded to the Scripps Institution of Oceanography requiring use of the ADOS.  Twenty-four buoys will be produced and deployed.
- Possible application for use by the Naval Oceanographic Office.

**Goddard Space Flight Center**

**INNOVATION**
- Developed highly-integrated, inexpensive ocean observing platform.

- Points of Contact:
-   -  NASA - Chet Koblinsky 301.614.5697
-   -  Clearwater Instr. Inc. - W. Gary Williams 617.924.2708

***Autonomous Drifting Ocean Station ******(ADOS)***