updated

README.md

@@ -19,7 +19,7 @@ The Global Value Factors Database, released by the [International Foundation for
 
 The GVFD covers 430 different environmental impacts across four main categories of impact: air pollution, land use and conversion, waste and water pollution . With the exception of the value factor for greenhouse gas emissions, for which a single value factor is provided ($236/tco2e), the value factors are geographically stratified (in other words, the value factors are both impact-specific and geolocation-specific).  In total, there are 268 geolocations in the dataset reflecting all the world's recognised sovereigns as well as some international dependencies. In addition, one set of value factors, air pollution, provides data at the level of US states. 
 
-## Key Data Parameters
+# Key Data Parameters
 
 | Parameter             | Value                                                                                               |
 |----------------------|---------------------------------------------------------------------------------------------------------------------|
@@ -31,7 +31,7 @@ The GVFD covers 430 different environmental impacts across four main categories
 
 ---
 
-## Impact Categories In Dataset
+# Impact Categories In Dataset
 
 | Category                 | Description                                                                                                                                                                   |
 |--------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
@@ -97,7 +97,9 @@ No material data changes were made.  Modifications are limited to formatting and
 
 <a id="release-notes-for-v2"></a>
 
-## 📝 Release Notes For V2
+---
+
+# 📝 Release Notes For V2
 
 This release standardises versioning for an early iteration (V2) of the derivative database of the [IFVI Global Value Factors Database (GVFD)](https://ifvi.org/methodology/environmental-topic-methodology/interim-methodologies/).
 
@@ -111,7 +113,7 @@ The data tables in this derivative dataset are organised into various hierarchie
 - `by-methodology-by-country` This folder maps most closely onto the original format in which the data was released and divides the database firstly by methodology and then by country (and then with impacts, values, etc)
 - `by-territory` This folder consists of individual JSON files for the various countries and territories (including US states) that were included in some or all of the methodology data releases. The datasets here are organised firstly into geographical continents and then by country (or territory; some of the territories are not widely recognised as independent sovereigns). US states - which were included in one methodology - have their own subfolder.
 
-### Data Modifications (Non-Substantive)
+## Data Modifications (Non-Substantive)
 
 This dataset (and the repository containing it) is a non-official derivative of the International Foundation for Valuing Impact (IFVI) Global Value Factors Database (GVFD) V1.  This derivative dataset is intended to support the programmatic use of the Database for research-related analysis and visualisation. 
 
@@ -121,13 +123,11 @@ No material edits have been made to the source data.
 
 The following edits were made solely to support the intended use-case:
 
----
-
-#### Removal of currency symbols
+## Removal of currency symbols
 
 To streamline intake of these `JSON` files into database systems, non-integer data (currency symbols) were scrubbed from the dataset. As is noted in the metadata, the IFVI Database is standardised on the US Dollar. 
 
-#### Editing of country and territory names
+## Editing of country and territory names
 
 To assist with geovisualisation use-cases, all countries and territories were matched with their corresponding `alpha-2` values as defined by `ISO 3166`,
 
@@ -135,18 +135,15 @@ In order to render the names of countries and territories in more easily recogni
 
 For example `"Bahamas, The"` was renamed `"Bahamas"` and `"Egypt, Arab Rep."` was renamed as simply `"Egypt."` 
 
----
 
-### Separation Of Non-Data Entities 
+## Separation Of Non-Data Entities 
 
 - `metadata` This folder provides individual JSONs which capture the notes that were appended on each tab of the source `XLSM`
 - `reference` A static snapshot of the supporting documentation (methodologies and user manuals) released by the IFVI alongside the data release
 
-<a id="specifications"></a>
-## 📊 Specifications
+---
 
-<a id="aggregated-data-parameters"></a>
-### Aggregated Data Parameters
+# Data Parameters By Impact Category
 
 #### Air Pollution: Data Description
 
@@ -232,6 +229,7 @@ For example `"Bahamas, The"` was renamed `"Bahamas"` and `"Egypt, Arab Rep."` wa
 | **Units**               | Kilograms (kg)                                                                                                                                                                                                                                        |
 | **Sample datapoint**    | Water Pollution_Phosphorus_N/A for this Category_Eutrophication                                                                                                                                                                                       |
 
+# Sample Data Values By Methodology
 
 <a id="sample-data"></a>
 ## 🧪 Sample Data