Data report · Latvia

Latvijas Vides, ģeoloģijas un meteoroloģijas centrs: a data access report

By datafromgov.com · Published 2026-10-28

Source export: 2026-08-30

The counts describe a saved catalogue. Check the source for current files and terms.

This report examines the catalogue entry for Latvijas Vides, ģeoloģijas un meteoroloģijas centrs.

The saved export records 28 datasets and 175 listed format declarations.

The evidence describes 2026-08-30. It supports a comparison of catalogue contents, but not a claim about subsequent growth.

Open the government source →Inspect the country catalogue

Recorded datasets
28
Format declarations per dataset
6.25
Distinct format labels
8

The main format pattern

The largest normalized label is CSV. It appears on 73 resource records.

This represents 41.7% of the listed format declarations.

The two largest labels account for 57.1% of that total.

The export contains 175 format declarations across 8 normalized labels.

These are catalogue declarations. This report does not verify every file or service response.

Compare the resource structure

This entry has 6.25 listed format declarations per dataset.

The median among 39 listed publishers in Latvia is 3.81.

The entry records 1.8% of the datasets in the saved national portal export.

Multiple resources can indicate file versions, geographic parts, or alternative formats. A larger ratio does not prove better data.

The export retains up to 20 format labels per publisher. It excludes empty labels and some small publishers.

Check the two source counters

The dataset metadata declares 159 resources. The format table contains 175 declarations.

These totals differ. The metadata counter and the format table use separate source fields.

The percentages in this report use the listed format declarations as their denominator.

The export does not establish a verified count of unique, accessible files.

Interpret the metadata dates

The stored sample contains 28 dataset titles. 28 have a recorded modification date.

Those dates range from 2024-10-22 to 2026-08-27.

A catalogue edit can change the modification date without a change to the observations.

The sample can omit older records. It does not establish a publication rate or a complete historical series.

Compare the observation period on the source page before you describe a trend.

Checks for CSV

  1. Confirm the delimiter and character encoding.
  2. Import identifiers as text to preserve leading zeroes.
  3. Compare the number of fields in each row.
  4. Check decimal symbols and date formats before calculations.
  5. Retain blank cells until the source defines their meaning.

Plan access to the data

CSV stores table rows as text. A delimiter separates the fields.

  1. Open the government source portal.
  2. Find the required dataset with its exact catalogue title.
  3. Confirm the observation period and geographic coverage.
  4. Read the licence for that dataset.
  5. Choose a file format that preserves the required fields.
  6. Record the source URL and access date.

What the evidence supports

The format table identifies the main access methods in the saved catalogue.

The declaration ratio describes the structure of the saved catalogue records.

Neither measure establishes the accuracy, completeness, or current availability of the underlying observations.

Use a second dated catalogue export before any claim that publication volume increased or decreased.

Recorded format mix

Normalized format labelListed declarationsShare of listed declarations
CSV7341.7%
JSON2715.4%
XLSX2413.7%
XML1810.3%
PDF126.9%
XLS105.7%
ZIP84.6%
GeoPackage31.7%

Dataset examples from the source catalogue

These titles come from stored source records. Some records lack a direct dataset URL.

Sources and method

This article combines catalogue measurements with a reusable technical procedure. The calculations use the dated export above.

Dataset titles remain subject to the source terms. Read the portal source details.

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