Update landing pages for new dir structure

Author: troyraen

tutorials/euclid/euclid.md

@@ -48,20 +48,20 @@ Join the SPE and MER catalogs and query for galaxies with H-alpha line detection
 ```
 
 ```{card}
-:link: ../parquet-catalog-demos/euclid-q1-hats/1-euclid-q1-hats-intro.md
-:header: [Merged Objects Catalog →](../parquet-catalog-demos/euclid-q1-hats/1-euclid-q1-hats-intro.md)
+:link: merged-objects-hats-catalog/1-euclid-q1-hats-intro.md
+:header: [Merged Objects Catalog →](merged-objects-hats-catalog/1-euclid-q1-hats-intro.md)
 Introduction: Understand the content and format of the Euclid Q1 Merged Objects HATS Catalog, then perform a basic query.
 ```
 
 ```{card}
-:link: ../parquet-catalog-demos/euclid-q1-hats/4-euclid-q1-hats-magnitudes.md
-:header: [Merged Objects Catalog →](../parquet-catalog-demos/euclid-q1-hats/4-euclid-q1-hats-magnitudes.md)
+:link: merged-objects-hats-catalog/4-euclid-q1-hats-magnitudes.md
+:header: [Merged Objects Catalog →](merged-objects-hats-catalog/4-euclid-q1-hats-magnitudes.md)
 Magnitudes: Review the types of flux measurements available, load template-fit and aperture magnitudes, and plot distributions and comparisons for different object types.
 ```
 
 ```{card}
-:link: ../cloud_access/euclid-cloud-access.md
-:header: [Cloud Access →](../cloud_access/euclid-cloud-access.md)
+:link: euclid-cloud-access.md
+:header: [Cloud Access →](euclid-cloud-access.md)
 Browse the on-cloud copy of Q1, then efficiently retrieve a MER mosaic cutout and a SIR spectrum.
 ```
 

tutorials/simulated-data/simulated.md

@@ -1,16 +1,16 @@
 # Simulated Data Tutorial Notebooks
 
 IRSA hosts a diverse collection of simulated astronomical datasets spanning multiple missions and science domains; designed to support survey planning, algorithm development, and scientific exploration.
-Because this collection is heterogeneous in coverage, structure, and intended use, the simulated products are released with detailed documentation. 
+Because this collection is heterogeneous in coverage, structure, and intended use, the simulated products are released with detailed documentation.
 Access methods are tailored to the structure and scale of each product.
 These tutorials are designed to help users get started with accessing, visualizing, and analyzing simulated datasets hosted at IRSA.
 
-- [Roman HLSS Number Density](roman_simulations/roman_hlss_number_density.md) - Illustrate how to query the catalog and derive galaxy number density.
-  
-- [OpenUniverse2024 Roman Coadds](openuniversesims/openuniverse2024_roman_simulated_wideareasurvey.md) - Access OpenUniverse2024 wide-area simulated survey data.
+- [Roman HLSS Number Density](roman_hlss_number_density.md) - Illustrate how to query the catalog and derive galaxy number density.
 
-- [OpenUniverse2024 Visualization](firefly/OpenUniverse2024Preview_Firefly.md) - Use Firefly to get an overview of survey structure and visualize content.
+- [OpenUniverse2024 Roman Coadds](openuniverse2024_roman_simulated_wideareasurvey.md) - Access OpenUniverse2024 wide-area simulated survey data.
 
-- [OpenUniverse2024 Time Domain](openuniversesims/openuniverse2024_roman_simulated_timedomainsurvey.md) - Access and analyze time-domain OpenUniverse2024 survey.
+- [OpenUniverse2024 Visualization](OpenUniverse2024Preview_Firefly.md) - Use Firefly to get an overview of survey structure and visualize content.
 
-- [CosmoDC2 Data Access](cosmodc2/cosmoDC2_TAP_access.md) - Access, query, and visualize the CosmoDC2 catalog.
+- [OpenUniverse2024 Time Domain](openuniverse2024_roman_simulated_timedomainsurvey.md) - Access and analyze time-domain OpenUniverse2024 survey.
+
+- [CosmoDC2 Data Access](cosmoDC2_TAP_access.md) - Access, query, and visualize the CosmoDC2 catalog.

tutorials/techniques-and-tools/techniques.md

@@ -1,12 +1,12 @@
 # Techniques & Tools Tutorial Notebooks
 
-This section gathers tutorials that go beyond mission specific data access and analysis to explore broader methods, workflows, and utilities applicable across missions and datasets. 
+This section gathers tutorials that go beyond mission specific data access and analysis to explore broader methods, workflows, and utilities applicable across missions and datasets.
 This collection includes guidance on cloud-based data access, use of powerful big data tools such as lsdb, interactive visualization tools, and computational techniques like parallel image convolution.
 
-- [Cloud Access](cloud_access/cloud-access-intro.md) — Access and work with data served by IRSA from AWS S3 cloud storage.
+- [Cloud Access](cloud-access-intro.md) — Access and work with data served by IRSA from AWS S3 cloud storage.
 
-- [HATS with LSDB](parquet-catalog-demos/irsa-hats-with-lsdb.md) - Use LSDB for user-friendly cross matching and querying of HATS Collections.
+- [HATS with LSDB](irsa-hats-with-lsdb.md) - Use LSDB for user-friendly cross matching and querying of HATS Collections.
 
-- [SED Visualization](firefly/SEDs_in_Firefly.md) - Explore and interactively visualize multi-wavelength SEDs using Firefly.
+- [SED Visualization](SEDs_in_Firefly.md) - Explore and interactively visualize multi-wavelength SEDs using Firefly.
 
-- [Parallelization](parallelize/Parallelize_Convolution.md) - Apply parallelization techniques to speed up operations on large astronomical images.
+- [Parallelization](Parallelize_Convolution.md) - Apply parallelization techniques to speed up operations on large astronomical images.

tutorials/wise/wise.md

@@ -1,18 +1,18 @@
 # WISE Tutorial Notebooks
 
-The Wide-field Infrared Survey Explorer ([WISE](https://irsa.ipac.caltech.edu/Missions/wise.html)) is a NASA infrared space telescope launched in December 2009 that performed a sensitive all-sky survey at 3.4, 4.6, 12, and 22 µm, cataloging hundreds of millions of stars, galaxies, and Solar System objects and enabling discoveries of cool brown dwarfs and luminous infrared galaxies. 
+The Wide-field Infrared Survey Explorer ([WISE](https://irsa.ipac.caltech.edu/Missions/wise.html)) is a NASA infrared space telescope launched in December 2009 that performed a sensitive all-sky survey at 3.4, 4.6, 12, and 22 µm, cataloging hundreds of millions of stars, galaxies, and Solar System objects and enabling discoveries of cool brown dwarfs and luminous infrared galaxies.
 After exhausting its cryogen, the mission was repurposed as NEOWISE in 2013 to detect and characterize near-Earth asteroids and comets using the remaining infrared channels until the mission concluded in August 2024.
 
 
-WISE and NEOWISE data are released publicly through the NASA/IPAC Infrared Science Archive (IRSA), including calibrated images, source catalogs, and single-exposure source tables that together enable multi-epoch photometry, light curves, and motion studies for a wide range of astrophysical and Solar System applications. 
+WISE and NEOWISE data are released publicly through the NASA/IPAC Infrared Science Archive (IRSA), including calibrated images, source catalogs, and single-exposure source tables that together enable multi-epoch photometry, light curves, and motion studies for a wide range of astrophysical and Solar System applications.
 Successive NEOWISE data releases, issued with annual updates, provided users with increasingly deep coverage and time-domain information across the infrared sky.
 
-- [AllWISE Images](irsa-sia-examples/sia_allwise_atlas.md) - Retrieve coadded images and make coordinate-based cutouts.
+- [AllWISE Images](sia_allwise_atlas.md) - Retrieve coadded images and make coordinate-based cutouts.
 
-- [AllWISE Catalog](parquet-catalog-demos/wise-allwise-catalog-demo.md) - Querying, filter, and work with a HEALPix-partitioned Parquet catalog using the AllWISE dataset.
+- [AllWISE Catalog](wise-allwise-catalog-demo.md) - Querying, filter, and work with a HEALPix-partitioned Parquet catalog using the AllWISE dataset.
 
-- [NEOWISE Firefly](firefly/NEOWISE_light_curve_demo.md) - Visualize and analyze light curves of Solar System objects using Firefly.
+- [NEOWISE Firefly](NEOWISE_light_curve_demo.md) - Visualize and analyze light curves of Solar System objects using Firefly.
 
-- [NEOWISE Strategies](parquet-catalog-demos/neowise-source-table-strategies.md) - Use efficient strategies for accessing and handling the very large Parquet dataset.
+- [NEOWISE Strategies](neowise-source-table-strategies.md) - Use efficient strategies for accessing and handling the very large Parquet dataset.
 
-- [NEOWISE Light Curves](parquet-catalog-demos/neowise-source-table-lightcurves.md) - Build multi-epoch photometric light curves for given coordinates.
+- [NEOWISE Light Curves](neowise-source-table-lightcurves.md) - Build multi-epoch photometric light curves for given coordinates.