1.

Overview of the different stakeholders, their pressures and the purchaser’s internal response.

2.

Overview of the different stakeholders, their pressures and the purchaser’s internal response.

3.

Overview of the different stakeholders, their pressures and the purchaser’s internal response.

4.

Overview of the different stakeholders, their pressures and the purchaser’s internal response.

1.

Project team meetings and related meetings.

2.

Project team meetings and related meetings.

3.

Project team meetings and related meetings.

4.

Project team meetings and related meetings.

1.

Interviews related to the COPD improvement initiatives (interview duration 30–90 minutes).

2.

Interviews related to the COPD improvement initiatives (interview duration 30–90 minutes).

3.

Interviews related to the COPD improvement initiatives (interview duration 30–90 minutes).

4.

Interviews related to the COPD improvement initiatives (interview duration 30–90 minutes).

1.

Ideal types of the identified bookkeeper’s and orchestrator’s institutional logics.

2.

Ideal types of the identified bookkeeper’s and orchestrator’s institutional logics.

3.

Ideal types of the identified bookkeeper’s and orchestrator’s institutional logics.

4.

Ideal types of the identified bookkeeper’s and orchestrator’s institutional logics.

1.

Tesuque Creek East Section showing with phytolith density results (n/gram).

2.

Tesuque Creek East Section showing with phytolith density results (n/gram).

3.

Tesuque Creek East Section showing with phytolith density results (n/gram).

4.

Tesuque Creek East Section showing with phytolith density results (n/gram).

1.

Supporting text and tables.

2.

Supporting text and tables.

3.

Supporting text and tables.

4.

Supporting text and tables.

1.

Map of the location of the Tesuque Creek East Section.

2.

Map of the location of the Tesuque Creek East Section.

3.

Map of the location of the Tesuque Creek East Section.

4.

Map of the location of the Tesuque Creek East Section.

1.

Tesuque Creek East Section showing units and location of C 14 dates.

2.

Tesuque Creek East Section showing units and location of C 14 dates.

3.

Tesuque Creek East Section showing units and location of C 14 dates.

4.

Tesuque Creek East Section showing units and location of C 14 dates.

1.

Tesuque Creek East Section with phytolith density results (n/gram) for the grasses.

2.

Tesuque Creek East Section with phytolith density results (n/gram) for the grasses.

3.

Tesuque Creek East Section with phytolith density results (n/gram) for the grasses.

4.

Tesuque Creek East Section with phytolith density results (n/gram) for the grasses.

1.

Adsorbate-Dependent Electronic Structure Descriptors for Machine Learning-Driven Binding Energy Predictions in Diverse Single Atom Alloys: A Reductionist Approach

2.

Adsorbate-Dependent Electronic Structure Descriptors for Machine Learning-Driven Binding Energy Predictions in Diverse Single Atom Alloys: A Reductionist Approach

3.

Adsorbate-Dependent Electronic Structure Descriptors for Machine Learning-Driven Binding Energy Predictions in Diverse Single Atom Alloys: A Reductionist Approach

4.

Adsorbate-Dependent Electronic Structure Descriptors for Machine Learning-Driven Binding Energy Predictions in Diverse Single Atom Alloys: A Reductionist Approach

5.

Adsorbate-Dependent Electronic Structure Descriptors for Machine Learning-Driven Binding Energy Predictions in Diverse Single Atom Alloys: A Reductionist Approach

6.

Adsorbate-Dependent Electronic Structure Descriptors for Machine Learning-Driven Binding Energy Predictions in Diverse Single Atom Alloys: A Reductionist Approach

7.

Adsorbate-Dependent Electronic Structure Descriptors for Machine Learning-Driven Binding Energy Predictions in Diverse Single Atom Alloys: A Reductionist Approach

8.

Adsorbate-Dependent Electronic Structure Descriptors for Machine Learning-Driven Binding Energy Predictions in Diverse Single Atom Alloys: A Reductionist Approach

9.

Adsorbate-Dependent Electronic Structure Descriptors for Machine Learning-Driven Binding Energy Predictions in Diverse Single Atom Alloys: A Reductionist Approach