Creating a data.yaml for each project

EMBER_Metadata/schema/R21DA048634.yaml

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+project_id: R21DA048634
+
+project_title: >
+  Application of Machine Vision to Determine the Influence of Sleep States and Social Interactions on Vulnerability to Drug Addiction
+
+project_description: >
+  This project applies machine vision approaches to quantify sleep states and social
+  interactions in animal models in order to understand their influence on vulnerability
+  to drug addiction.
+
+ember_doi: "10.00000/EMBER.R21DA048634"
+
+data_availability_emberdandi: false
+data_availability_emberrestricted: false
+data_availability_embervault: false
+
+access_tier_summary: >
+  Data availability and access tiers have not yet been finalized for this project.
+
+emberdandisets: []
+restricted_datasets: []
+vault_ids: []
+
+data_administrator:
+  contributor_id: [email protected]
+  name: Vivek Kumar
+  email: [email protected]
+  institution: Jackson Laboratory
+
+last_metadata_update: "2025-01-10T12:00:00Z"
+metadata_version: "0.1.0"
+
+related_publications: []
+related_repositories: []
+related_dandisets: []
+related_data: []
+
+funding:
+  - funding_institute: NIH
+    award_number: R21DA048634
+    award_title: >
+      Application of Machine Vision to Determine the Influence of Sleep States and Social Interactions on Vulnerability to Drug Addiction
+    funding_url: https://reporter.nih.gov/project-details/9880430

EMBER_Metadata/schema/R34DA059500.yaml

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+project_id: R34DA059500
+
+project_title: >
+  Transformative Optical Imaging of Brain & Behavior in Navigating Genetic Species
+
+project_description: >
+  This project develops optical imaging approaches to study brain–behavior
+  relationships across genetically tractable species, enabling comparative
+  and high-resolution analysis of neural activity during naturalistic behavior.
+
+ember_doi: "10.00000/EMBER.R34DA059500"
+
+data_availability_emberdandi: false
+data_availability_emberrestricted: false
+data_availability_embervault: false
+
+access_tier_summary: >
+  Data availability and access tiers have not yet been finalized.
+
+emberdandisets: []
+restricted_datasets: []
+vault_ids: []
+
+data_administrator:
+  contributor_id: [email protected]
+  name: David Schoppik
+  email: [email protected]
+  institution: New York University School of Medicine
+
+last_metadata_update: "2025-01-10T12:00:00Z"
+metadata_version: "0.1.0"
+
+related_publications: []
+related_repositories: []
+related_dandisets: []
+related_data: []
+
+funding:
+  - funding_institute: NIH
+    award_number: R34DA059500
+    award_title: >
+      Transformative Optical Imaging of Brain & Behavior in Navigating Genetic Species
+    funding_url: https://reporter.nih.gov/project-details/10786461

EMBER_Metadata/schema/R34DA059506.yaml

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+project_id: R34DA059506
+
+project_title: High-resolution 3D tracking of social behaviors for deep phenotypic analysis
+
+project_description: >
+  This project focuses on high-resolution three-dimensional tracking of social
+  behaviors to enable deep phenotypic analysis across naturalistic behavioral
+  contexts.
+
+ember_doi: "10.00000/EMBER.R34DA059506"
+
+data_availability_emberdandi: false
+data_availability_emberrestricted: false
+data_availability_embervault: false
+
+access_tier_summary: >
+  Data availability and access tiers have not yet been assigned.
+
+emberdandisets: []
+restricted_datasets: []
+vault_ids: []
+
+data_administrator:
+  contributor_id: [email protected]
+  name: Timothy William Dunn
+  email: [email protected]
+  institution: Duke University
+
+last_metadata_update: "2025-01-10T12:00:00Z"
+metadata_version: "0.1.0"
+
+related_publications: []
+related_repositories: []
+related_dandisets: []
+related_data: []
+
+funding:
+  - funding_institute: NIH
+    award_number: R34DA059506
+    award_title: High-resolution 3D tracking of social behaviors for deep phenotypic analysis
+    funding_url: https://reporter.nih.gov/project-details/10786685

EMBER_Metadata/schema/R34DA059507.yaml

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+project_id: R34DA059507
+
+project_title: Development of a "smart aviary" to probe neural dynamics of complex social behaviors in a gregarious songbird
+
+project_description: >
+  This project aims to develop a smart aviary platform to study neural
+  dynamics underlying complex social behaviors in gregarious songbirds
+  using multimodal sensing and computational analysis.
+
+ember_doi: "10.00000/EMBER.R34DA059507"
+
+data_availability_emberdandi: false
+data_availability_emberrestricted: false
+data_availability_embervault: false
+
+access_tier_summary: >
+  Data availability and access tiers have not yet been assigned.
+
+emberdandisets: []
+restricted_datasets: []
+vault_ids: []
+
+data_administrator:
+  contributor_id: [email protected]
+  name: Marc F Schmidt
+  email: [email protected]
+  institution: University of Pennsylvania
+
+last_metadata_update: "2025-01-10T12:00:00Z"
+metadata_version: "0.1.0"
+
+related_publications: []
+related_repositories: []
+related_dandisets: []
+related_data: []
+
+funding:
+  - funding_institute: NIH
+    award_number: R34DA059507
+    award_title: Development of a "smart aviary" to probe neural dynamics of complex social behaviors in a gregarious songbird
+    funding_url: https://reporter.nih.gov/project-details/10786687

EMBER_Metadata/schema/R34DA059509.yaml

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+project_id: R34DA059509
+
+project_title: Behavioral quantification through active learning and multidimensional physiological monitoring
+
+project_description: >
+  This project focuses on behavioral quantification using active learning
+  approaches combined with multidimensional physiological monitoring to
+  study behavior in naturalistic settings.
+
+ember_doi: "10.00000/EMBER.R34DA059509"
+
+data_availability_emberdandi: false
+data_availability_emberrestricted: false
+data_availability_embervault: false
+
+access_tier_summary: >
+  Data availability and access tiers have not yet been assigned.
+
+emberdandisets: []
+restricted_datasets: []
+vault_ids: []
+
+data_administrator:
+  contributor_id: [email protected]
+  name: Eric Yttri
+  email: [email protected]
+  institution: Carnegie-Mellon University
+
+last_metadata_update: "2025-01-10T12:00:00Z"
+metadata_version: "0.1.0"
+
+related_publications: []
+related_repositories: []
+related_dandisets: []
+related_data: []
+
+funding:
+  - funding_institute: NIH
+    award_number: R34DA059509
+    award_title: Behavioral quantification through active learning and multidimensional physiological monitoring
+    funding_url: https://reporter.nih.gov/project-details/10786800

EMBER_Metadata/schema/R34DA059510.yaml

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+project_id: R34DA059510
+
+project_title: A modeling framework and arena for measuring contextual influences of behavior
+
+project_description: >
+  This project develops a modeling framework and experimental arena to measure
+  how contextual factors influence behavior in naturalistic settings.
+
+ember_doi: "10.00000/EMBER.R34DA059510"
+
+data_availability_emberdandi: false
+data_availability_emberrestricted: false
+data_availability_embervault: false
+
+access_tier_summary: >
+  Data availability and access tiers have not yet been assigned.
+
+emberdandisets: []
+restricted_datasets: []
+vault_ids: []
+
+data_administrator:
+  contributor_id: [email protected]
+  name: Patrick T McGrath
+  email: [email protected]
+  institution: Georgia Institute Of Technology
+
+last_metadata_update: "2025-01-10T12:00:00Z"
+metadata_version: "0.1.0"
+
+related_publications: []
+related_repositories: []
+related_dandisets: []
+related_data: []
+
+funding:
+  - funding_institute: NIH
+    award_number: R34DA059510
+    award_title: A modeling framework and arena for measuring contextual influences of behavior
+    funding_url: https://reporter.nih.gov/project-details/10786801

EMBER_Metadata/schema/R34DA059512.yaml

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+project_id: R34DA059512
+
+project_title: High-throughput, high-resolution 3D measurement of ethologically relevant rodent behavior in a dynamic environment
+
+project_description: >
+  This project aims to develop high-throughput, high-resolution three-dimensional
+  measurement approaches to quantify ethologically relevant rodent behavior
+  in dynamic, naturalistic environments.
+
+ember_doi: "10.00000/EMBER.R34DA059512"
+
+data_availability_emberdandi: false
+data_availability_emberrestricted: false
+data_availability_embervault: false
+
+access_tier_summary: >
+  Data availability and access tiers have not yet been assigned.
+
+emberdandisets: []
+restricted_datasets: []
+vault_ids: []
+
+data_administrator:
+  contributor_id: [email protected]
+  name: Timothy William Dunn
+  email: [email protected]
+  institution: Duke University
+
+last_metadata_update: "2025-01-10T12:00:00Z"
+metadata_version: "0.1.0"
+
+related_publications: []
+related_repositories: []
+related_dandisets: []
+related_data: []
+
+funding:
+  - funding_institute: NIH
+    award_number: R34DA059512
+    award_title: High-throughput, high-resolution 3D measurement of ethologically relevant rodent behavior in a dynamic environment
+    funding_url: https://reporter.nih.gov/project-details/10786883

EMBER_Metadata/schema/R34DA059513.yaml

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+project_id: R34DA059513
+
+project_title: Computational attribution and fusion of vocalizations, social behavior, and neural recordings in a naturalistic environment
+
+project_description: >
+  This project focuses on computational methods to attribute and fuse
+  vocalizations, social behavior, and neural recordings collected in
+  naturalistic environments.
+
+ember_doi: "10.00000/EMBER.R34DA059513"
+
+data_availability_emberdandi: false
+data_availability_emberrestricted: false
+data_availability_embervault: false
+
+access_tier_summary: >
+  Data availability and access tiers have not yet been assigned.
+
+emberdandisets: []
+restricted_datasets: []
+vault_ids: []
+
+data_administrator:
+  contributor_id: [email protected]
+  name: Dan Harvey Sanes
+  email: [email protected]
+  institution: New York University
+
+last_metadata_update: "2025-01-10T12:00:00Z"
+metadata_version: "0.1.0"
+
+related_publications: []
+related_repositories: []
+related_dandisets: []
+related_data: []
+
+funding:
+  - funding_institute: NIH
+    award_number: R34DA059513
+    award_title: Computational attribution and fusion of vocalizations, social behavior, and neural recordings in a naturalistic environment
+    funding_url: https://reporter.nih.gov/project-details/10786899

EMBER_Metadata/schema/R34DA059514.yaml

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+project_id: R34DA059514
+
+project_title: >
+  Towards High-Resolution Neuro-Behavioral Quantification of Sheep in the Field
+  to Study Complex Social Behaviors
+
+project_description: >
+  This project aims to develop high-resolution neuro-behavioral measurement
+  approaches for studying complex social behaviors in sheep in naturalistic,
+  field-based environments.
+
+ember_doi: "10.00000/EMBER.R34DA059514"
+
+data_availability_emberdandi: false
+data_availability_emberrestricted: false
+data_availability_embervault: false
+
+access_tier_summary: >
+  Data availability and access tiers have not yet been assigned.
+
+emberdandisets: []
+restricted_datasets: []
+vault_ids: []
+
+data_administrator:
+  contributor_id: [email protected]
+  name: Caleb Kemere
+  email: [email protected]
+  institution: Rice University
+
+last_metadata_update: "2025-01-10T12:00:00Z"
+metadata_version: "0.1.0"
+
+related_publications: []
+related_repositories: []
+related_dandisets: []
+related_data: []
+
+funding:
+  - funding_institute: NIH
+    award_number: R34DA059514
+    award_title: >
+      Towards High-Resolution Neuro-Behavioral Quantification of Sheep in the Field
+      to Study Complex Social Behaviors
+    funding_url: https://reporter.nih.gov/project-details/10786956