Last batch of edits

projects/Albany_DAES.yaml

@@ -1,10 +1,10 @@
-Description: Department of Atmospheric and Environmental Sciences at the University of Albany.
 Department: Department of Atmospheric Environmental Sciences
+Description: Department of Atmospheric and Environmental Sciences at the University
+  of Albany.
 FieldOfScience: Atmospheric Sciences
+InstitutionID: 'https://osg-htc.org/iid/m9adt6gcsr8c'
 Organization: University of Albany
-PIName:  Ryan Torn
-
-
+PIName: Ryan Torn
 Sponsor:
   CampusGrid:
     Name: OSG Connect

projects/Argoneut.yaml

@@ -2,6 +2,7 @@ Department: N/A
 Description: Project entry corresponding to the Argoneut VO.
 FieldOfScience: High Energy Physics
 ID: '501'
+InstitutionID: 'https://osg-htc.org/iid/ik4s3ql8u1j7'
 Organization: Fermilab
 PIName: Joe Boyd
 Sponsor:

projects/Arkansas_Nelson.yaml

@@ -1,9 +1,11 @@
-Description: Statistical analysis on keys generated by a lattice based cryptography algorithm for post-quantum cryptography to determine patterns in the types of errors produced in the keys. 
 Department: Computer Science & Computer Engineering
+Description: Statistical analysis on keys generated by a lattice based cryptography
+  algorithm for post-quantum cryptography to determine patterns in the types of errors
+  produced in the keys.
 FieldOfScience: Computer Science
+InstitutionID: 'https://osg-htc.org/iid/78b3lgmajszi'
 Organization: University of Arkansas
 PIName: Alexander Nelson
-
 Sponsor:
   CampusGrid:
     Name: OSG Connect

projects/Arkansas_UITSStaff.yaml

@@ -1,9 +1,9 @@
-Description: Research computing staff at University of Arkansas https://directory.uark.edu/departmental/uits/university-information-technology-serv
 Department: Information Technology
+Description: Research computing staff at University of Arkansas https://directory.uark.edu/departmental/uits/university-information-technology-serv
 FieldOfScience: Research Computing
+InstitutionID: 'https://osg-htc.org/iid/78b3lgmajszi'
 Organization: University of Arkansas
 PIName: Don DuRousseau
-
 Sponsor:
   CampusGrid:
     Name: OSG Connect

projects/BYUI_Becerril.yaml

@@ -1,9 +1,10 @@
-Description: Training undergraduate students in scientific computing through teaching elective courses
 Department: Chemistry Department
+Description: Training undergraduate students in scientific computing through teaching
+  elective courses
 FieldOfScience: Chemistry
+InstitutionID: 'https://osg-htc.org/iid/vgfpbpee9lqo'
 Organization: Brigham Young University Idaho
-PIName: Héctor A. Becerril
-
+PIName: Héctor A. Becerril
 Sponsor:
   CampusGrid:
     Name: OSG Connect

projects/BioAlgorithms.yaml

@@ -2,6 +2,7 @@ Department: Computer Science
 Description: Algorithmic development for Bioinformatics
 FieldOfScience: Bioinformatics
 ID: '414'
+InstitutionID: 'https://osg-htc.org/iid/q9k1b8dfrw25'
 Organization: University of Nebraska-Lincoln
 PIName: Natasha Pavlovikj
 Sponsor:

projects/Biomim.yaml

@@ -5,6 +5,7 @@ Description: The project involves studies of substrate binding, electron and pro
   of small molecule electrocatalysts in collaboration with experimentalists.
 FieldOfScience: Chemistry
 ID: '428'
+InstitutionID: 'https://osg-htc.org/iid/53bzboawpaq9'
 Organization: State University of New York at Binghamton
 PIName: Puja Goyal
 Sponsor:

projects/BiostatsChapple.yaml

@@ -1,11 +1,10 @@
-Description: Bayesian Clinical Trials
 Department: Biostatistics
+Description: Bayesian Clinical Trials
 FieldOfScience: Statistics
+ID: '532'
+InstitutionID: 'https://osg-htc.org/iid/9idmt4uz33c1'
 Organization: LSU School of Public Health
 PIName: Andrew Chapple
-
-ID: '532'
-
 Sponsor:
   CampusGrid:
     Name: OSG Connect

projects/CHTC-Staff.yaml

@@ -1,29 +1,25 @@
-Description: Group for CHTC staff who have OSG accounts
 Department: Computer Sciences
+Description: Group for CHTC staff who have OSG accounts
 FieldOfScience: Computer Sciences
+ID: '758'
+InstitutionID: 'https://osg-htc.org/iid/fq8thqsj99zh'
 Organization: University of Wisconsin-Madison
 PIName: Miron Livny
-
-ID: '758'
-
+ResourceAllocations:
+- ExecuteResourceGroups:
+  - GroupName: CHTC-ITB
+    LocalAllocationID: glow
+  SubmitResources:
+  - CHTC-ITB-submittest0000
+  Type: Other
+- ExecuteResourceGroups:
+  - GroupName: TACC-Stampede2
+    LocalAllocationID: TG-DDM160003
+  SubmitResources:
+  - CHTC-XD-SUBMIT
+  - UChicago_OSGConnect_login04
+  - UChicago_OSGConnect_login05
+  Type: XRAC
 Sponsor:
   CampusGrid:
     Name: OSG Connect
-
-ResourceAllocations:
-  - Type: Other
-    SubmitResources:
-      - CHTC-ITB-submittest0000
-    ExecuteResourceGroups:
-      - GroupName: CHTC-ITB
-        LocalAllocationID: "glow"
-
-  - Type: XRAC
-    SubmitResources:
-      - CHTC-XD-SUBMIT
-      - UChicago_OSGConnect_login04
-      - UChicago_OSGConnect_login05
-    ExecuteResourceGroups:
-      # OSG allocation
-      - GroupName: TACC-Stampede2
-        LocalAllocationID: "TG-DDM160003"

projects/CLAS12.yaml

@@ -1,8 +1,9 @@
-Description: Jefferson Laboratory Hall-B CLAS12 project
 Department: Physics
+Description: Jefferson Laboratory Hall-B CLAS12 project
 FieldOfScience: Nuclear Physics
-Organization: Jefferson Lab
 ID: '582'
+InstitutionID: 'https://osg-htc.org/iid/hlz41oydapzn'
+Organization: Jefferson Lab
 PIName: Maurizio Ungaro
 Sponsor:
   VirtualOrganization:

projects/CMU_Isayev.yaml

@@ -2,7 +2,6 @@ Department: Chemistry
 Description: Quantum chemical and machine learning insights into supra-molecular organization
   of molecular crystals.
 FieldOfScience: Chemistry
+InstitutionID: 'https://osg-htc.org/iid/3cqqrc2cgibl'
 Organization: Carnegie-Mellon University
 PIName: Olexandr Isayev
-
-

projects/CMU_Romagnoli.yaml

@@ -1,9 +1,10 @@
 Department: Electrical and computer engineering
-Description: Deep Reinforcement Learning (RL) for Secure Control of UAVs via Software Rejuvenation
+Description: Deep Reinforcement Learning (RL) for Secure Control of UAVs via Software
+  Rejuvenation
 FieldOfScience: Electrical Engineering
+InstitutionID: 'https://osg-htc.org/iid/3cqqrc2cgibl'
 Organization: Carnegie-Mellon University
 PIName: Raffaele Romagnoli
-
 Sponsor:
   CampusGrid:
     Name: OSG Connect

projects/CMU_Viswanathan.yaml

@@ -1,9 +1,10 @@
 Department: Department of Mechanical Engineering
-Description: Physics-informed machine learning algorithms to facilitate improved prediction of battery performance
+Description: Physics-informed machine learning algorithms to facilitate improved prediction
+  of battery performance
 FieldOfScience: Mechanical Engineering
+InstitutionID: 'https://osg-htc.org/iid/3cqqrc2cgibl'
 Organization: Carnegie-Mellon University
 PIName: Venkat Viswanathan
-
 Sponsor:
   CampusGrid:
     Name: OSG Connect

projects/COVID19_LSUHSC_Chapple.yaml

@@ -1,27 +1,26 @@
-Description: "Most Bayesian methods require Markov Chain Monte Carlo sampling (MCMC)
- to obtain posterior distributions, which can be used  for statistical inference
- - and decision making during adaptive clinical trial designs. To justify any novel
- statistical method or adaptive design, extensive simulation studies must be
- conducted to demonstrate their effectiveness. Dr. Chapple recently used OSG to
- successfully revise a novel statistical method for survival analysis relevant to COVID-19.
- Such simulations, particularly for Bayesian adaptive clinical trials,
- can take a tremendous amount of time to run 1,000 or more simulations for a given
- scenario, and usually hundreds of scenarios are warranted to convince others of the
- trial’s benefit. Dr. Chapple has used 435 thousand core hours to develop clinical
- trial designs for testing safety of new agents in pediatric brain tumors, testing
- multiple COVID-19 therapies simultaneously, and determining optimal treatments
- based on patient subgroups. Without OSG, it would not have been possible to start
- enrolling patients in a 3-treatment armed COVID-19 trial at University Medical
- Center in New Orleans, LA. Based upon that success, Chapple will also demonstrate
- the same approach for 5 treatment arms, and also for subgroups (based on
- comorbidities, age, etc), and publish the trial design in a statistical journal."
 Department: Biostatistics
+Description: Most Bayesian methods require Markov Chain Monte Carlo sampling (MCMC)
+  to obtain posterior distributions, which can be used  for statistical inference
+  - and decision making during adaptive clinical trial designs. To justify any novel
+  statistical method or adaptive design, extensive simulation studies must be conducted
+  to demonstrate their effectiveness. Dr. Chapple recently used OSG to successfully
+  revise a novel statistical method for survival analysis relevant to COVID-19. Such
+  simulations, particularly for Bayesian adaptive clinical trials, can take a tremendous
+  amount of time to run 1,000 or more simulations for a given scenario, and usually
+  hundreds of scenarios are warranted to convince others of the trial’s benefit.
+  Dr. Chapple has used 435 thousand core hours to develop clinical trial designs for
+  testing safety of new agents in pediatric brain tumors, testing multiple COVID-19
+  therapies simultaneously, and determining optimal treatments based on patient subgroups.
+  Without OSG, it would not have been possible to start enrolling patients in a 3-treatment
+  armed COVID-19 trial at University Medical Center in New Orleans, LA. Based upon
+  that success, Chapple will also demonstrate the same approach for 5 treatment arms,
+  and also for subgroups (based on comorbidities, age, etc), and publish the trial
+  design in a statistical journal.
 FieldOfScience: Health
+ID: '671'
+InstitutionID: 'https://osg-htc.org/iid/9idmt4uz33c1'
 Organization: LSU School of Public Health
 PIName: Andrew Chapple
-
-ID: '671'
-
 Sponsor:
   CampusGrid:
     Name: OSG Connect

projects/COVID19_UNL_Weitzel.yaml

@@ -2,6 +2,7 @@ Department: Computer Science and Engineering
 Description: Testing of Folding at Home on the Open Science Grid, for COVID-19; https://foldingathome.org/covid19/
 FieldOfScience: Computer Science
 ID: '662'
+InstitutionID: 'https://osg-htc.org/iid/q9k1b8dfrw25'
 Organization: University of Nebraska-Lincoln
 PIName: Derek Weitzel
 Sponsor:

projects/CSUSB_ITS.yaml

@@ -1,11 +1,10 @@
-Description: Group for CSUSB staff supporting research computing.
 Department: Information Technology
+Description: Group for CSUSB staff supporting research computing.
 FieldOfScience: Computer Sciences
+ID: '799'
+InstitutionID: 'https://osg-htc.org/iid/wra3vmvyvmgd'
 Organization: California State University, San Bernadino
 PIName: Dung Vu
-
-ID: '799'
-
 Sponsor:
   CampusGrid:
     Name: OSG Connect

projects/CUNYBrooklyn_Juszczak.yaml

@@ -1,7 +1,9 @@
 Department: Chemistry
-Description: Mapping molecular level electron density in cation-aromatic pi electron interactions
+Description: Mapping molecular level electron density in cation-aromatic pi electron
+  interactions
 FieldOfScience: Chemistry
 ID: '719'
+InstitutionID: 'https://osg-htc.org/iid/lbg0jt5w2rks'
 Organization: CUNY Brooklyn College
 PIName: Laura Juszczak
 Sponsor:

projects/CampusWorkshop_Feb2021.yaml

@@ -1,11 +1,10 @@
-Description: accounts for Feb 8 2021 campus workshop
 Department: Computer Sciences
+Description: accounts for Feb 8 2021 campus workshop
 FieldOfScience: Training
+ID: '759'
+InstitutionID: 'https://osg-htc.org/iid/fq8thqsj99zh'
 Organization: University of Wisconsin-Madison
 PIName: Christina Koch
-
-ID: '759'
-
 Sponsor:
   CampusGrid:
     Name: OSG Connect

projects/CloudTemplate.yaml

@@ -1,11 +1,10 @@
-Description: Cloud Custom Template for Non-Experts
 Department: Electrical Engineering and Computer Science
+Description: Cloud Custom Template for Non-Experts
 FieldOfScience: Computer Science
+ID: '540'
+InstitutionID: 'https://osg-htc.org/iid/dohu2f6ba08u'
 Organization: University of Missouri-Columbia
 PIName: Prasad Calyam
-
-ID: '540'
-
 Sponsor:
   CampusGrid:
     Name: OSG Connect

projects/ConnectTrain.yaml

@@ -2,6 +2,7 @@ Department: Research Facilitation
 Description: OSG user training activity.
 FieldOfScience: Training
 ID: '20'
+InstitutionID: 'https://osg-htc.org/iid/8hgx4a4ptpt9'
 Organization: Open Science Grid
 PIName: Christina Koch
 Sponsor:

projects/CotranslationalFolding.yaml

@@ -1,19 +1,20 @@
 Department: Chemistry
-Description: "There is now a large body of experimental evidence that the ability\
-  \ of many proteins to reach full functionality in a cell depends strongly on the\
-  \ rate at which individual codons are translated by the ribosome during protein\
-  \ synthesis. This project aims to demonstrate that, counter to conventional wisdom,\
-  \ fast-translating codons can help coordinate co-translational protein folding by\
-  \ minimizing misfolding [O\u2019Brien, Nature Comm. 2014]. To do this we will use\
-  \ a two-step approach: First (Aim 1), we will utilize coarse-grained molecular dynamics\
-  \ simulations in combination with a genetic algorithm to find the optimal codon\
-  \ translation rate profile that maximizes the co-translational folding of a protein.\
-  \ And then (Aim 2) mutate, in silico, fast-translating codon positions to slower\
-  \ rates to test, if as predicted, we observe a concomitant decrease in the amount\
-  \ of co-translational folding. The results of this study will provide a new computational\
-  \ tool for the rational design of mRNA sequences to control nascent proten behavior."
+Description: 'There is now a large body of experimental evidence that the ability
+  of many proteins to reach full functionality in a cell depends strongly on the rate
+  at which individual codons are translated by the ribosome during protein synthesis.
+  This project aims to demonstrate that, counter to conventional wisdom, fast-translating
+  codons can help coordinate co-translational protein folding by minimizing misfolding
+  [O’Brien, Nature Comm. 2014]. To do this we will use a two-step approach: First
+  (Aim 1), we will utilize coarse-grained molecular dynamics simulations in combination
+  with a genetic algorithm to find the optimal codon translation rate profile that
+  maximizes the co-translational folding of a protein. And then (Aim 2) mutate, in
+  silico, fast-translating codon positions to slower rates to test, if as predicted,
+  we observe a concomitant decrease in the amount of co-translational folding. The
+  results of this study will provide a new computational tool for the rational design
+  of mRNA sequences to control nascent proten behavior.'
 FieldOfScience: Biophysics
 ID: '110'
+InstitutionID: 'https://osg-htc.org/iid/f1tlj6c19ppg'
 Organization: The Pennsylvania State University
 PIName: Edward O'Brien
 Sponsor:

projects/DES.yaml

@@ -2,6 +2,7 @@ Department: N/A
 Description: Project entry corresponding to the Dark Energy Survey (DES) VO.
 FieldOfScience: Astrophysics
 ID: '492'
+InstitutionID: 'https://osg-htc.org/iid/ik4s3ql8u1j7'
 Organization: Fermilab
 PIName: Nikolay Kuropatkin
 Sponsor:

projects/DESDM.yaml

@@ -1,25 +1,21 @@
-Description:  The Dark Energy Survey (DES) is about to complete its five-year
-  observing program. This consists of a 5000 square-degree wide field
-  survey in 5 optical bands of the Southern sky and a 30 square-degree
-  deep supernova survey with the aim to understand the nature of Dark
-  Energy and the accelerating Universe. DES uses the 3 square-degree CCD
-  camera (DECam), installed at the prime focus of the Blanco 4-m to record
-  the positions and shapes of 300 million galaxies up to redshift 1.4.
-  During a normal night of observations, DES produces about 1 TB of raw
-  data, including science and calibration images, which are transported
-  automatically from Chile to the National Center for Supercomputing
-  Applications in Urbana, Illinois to be archived and reduced. The
-  DES Data Management system (DESDM) is in charge of the processing,
-  calibration and archiving of these data into science-ready data products
-  for analysis by the DES Collaboration and the public.
 Department: N/A
+Description: The Dark Energy Survey (DES) is about to complete its five-year observing
+  program. This consists of a 5000 square-degree wide field survey in 5 optical bands
+  of the Southern sky and a 30 square-degree deep supernova survey with the aim to
+  understand the nature of Dark Energy and the accelerating Universe. DES uses the
+  3 square-degree CCD camera (DECam), installed at the prime focus of the Blanco 4-m
+  to record the positions and shapes of 300 million galaxies up to redshift 1.4. During
+  a normal night of observations, DES produces about 1 TB of raw data, including science
+  and calibration images, which are transported automatically from Chile to the National
+  Center for Supercomputing Applications in Urbana, Illinois to be archived and reduced.
+  The DES Data Management system (DESDM) is in charge of the processing, calibration
+  and archiving of these data into science-ready data products for analysis by the
+  DES Collaboration and the public.
 FieldOfScience: Astronomy
+ID: '523'
+InstitutionID: 'https://osg-htc.org/iid/ypnvkgxa67oy'
 Organization: National Center for Supercomputing Applications (NCSA)
 PIName: Don Petravick
-
-ID: '523'
-
 Sponsor:
   CampusGrid:
     Name: OSG Connect
-

projects/DOSAR.yaml

@@ -4,6 +4,7 @@ Description: Distributed Organization for Scientific Academic Research. Internat
   like to maintain accounts on OSG.
 FieldOfScience: Education
 ID: '355'
+InstitutionID: 'https://osg-htc.org/iid/xvsrc4eixk2g'
 Organization: DOSAR
 PIName: Rob Quick
 Sponsor: