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Oct 16, 2026Data

The Ten-Minute Sea

See where and when sailors recorded seabirds during 10-minute counts.

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How to use this project

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How to explore

Observers repeatedly counted seabirds from ships around New Zealand and across the southern seas from 1969 through 1990. This project compares what appeared during those sampled periods; it is not a census of every bird or every patch of ocean.

  1. Start with Cape petrels

    Read how often this bird group appeared across all full 10-minute count periods.

  2. See where the ship counted

    Compare five-degree sea cells while using the dot size to keep the number of counts in view.

  3. Follow the logbook

    Choose a year and read the occurrence rate beside the full-count total.

  4. Compare season and wind

    Select a cell to compare southern-hemisphere seasons and grouped Beaufort wind classes.

Full count period
A shipboard observation period marked as a complete 10-minute count.
Recorded presence
At least one row for a bird group during a full count period, regardless of the number of birds seen.
Occurrence rate
The share of comparable full count periods in which a bird group had a recorded presence.
Degree cell
A five-degree by five-degree latitude and longitude square used to group nearby ship counts.
Beaufort wind class
An observation-based wind scale from calm to hurricane force, grouped here into light, moderate, and strong wind.
Side Quest / DataStart with Cape petrels, choose any of the 18 most frequently recorded bird groups, scan the sampled sea grid, select a year, compare southern-hemisphere season and wind, and read the survey limits before drawing a conclusion.

Shipboard counts · 1969–1990

The ten-minute sea

See where and when sailors recorded seabirds during 10-minute counts.

Observers made repeated counts from ships around New Zealand and across the southern seas. This project follows the 18 most frequently recorded bird groups while keeping the changing survey route in view.

One field record
Full count periods
12,111
Bird rows
49,019
Years covered
1969–1990

A full count period is the comparison unit. Seeing a bird at least once counts as one recorded presence, whether one bird or many appeared.

01 · Choose a bird

Start with one name in the log.

Choose a bird to update every view. Longer bars mean it appeared in a larger share of the 12,111 full count periods.

Recorded presence24.1%

2,923 of 12,111 full count periods

Names preserve the dataset’s identifications. “Group,” “unidentified,” and slash-separated names mean the log could not support one exact species name.

02 · See where it appeared

The ship did not sample every patch of sea.

Each square covers five degrees of latitude and longitude. Brighter squares mean cape petrel appeared in a larger share of full counts there; the dot shows how many count periods support the rate.

No recorded presence Larger share of counts More count periods
03 · Follow the logbook

Read the rate beside the effort.

Each column shows the share of full count periods that recorded cape petrel. Choose a year to see the numerator and denominator; the number below each column is the count effort.

Year1987
Recorded presence30.8%
Full counts with bird502
All full counts1,629

Routes, seasons, observers, and annual effort changed. The year-to-year line cannot show a population trend.

04 · Compare season and wind

The same bird meets a different sea.

Choose a cell. It compares recorded presence by southern-hemisphere season and grouped Beaufort wind class. Darker cells mean a larger share of the available full counts.

Wind was recorded for 7,430 of 12,111 full count periods. Season, route, location, and weather overlap, so this view does not show that wind caused a bird to appear.

How to read the record

Presence is evidence from a route, not a census of the ocean.

The observers counted from ships, mostly while steaming or sailing. The page keeps one presence per bird group per full 10-minute period, then divides by all comparable periods in the same place, year, season, or wind group. That makes survey effort visible without pretending that every sea area received equal attention.

Data preparation and limits

This work uses data sourced from Te Papa. The source contains 12,310 ship count periods and 49,019 bird rows from July 1969 through December 1990. The analysis keeps 12,111 periods marked as full counts and excludes partial or casual observations from every denominator.

Age and plumage suffixes are combined into broader bird groups before ranking. Individual observers, ship names, raw abundance counts, and record identifiers are not published. The page cannot establish population size, abundance change, a complete geographic range, or a causal effect of weather.

The standard-library builder pins three source files to TidyTuesday commit b2258ae949e3c64099c4e6d00ff4b68dba1d6d0e, verifies their byte counts and SHA-256 values, and writes this 105,489-byte static snapshot. The browser makes no data request.

I found Te Papa's at-sea seabird observations through the allowlisted TidyTuesday catalog, then verified the official publisher page, New Zealand government catalog record, attribution request, and CC BY 4.0 license on October 16, 2026. The experience uses a deterministic aggregate built from three files pinned to one TidyTuesday commit.

Why this exists

The question

Which seabird groups appeared most often in full 10-minute shipboard counts, and how did recorded presence vary by location, year, season, and wind while survey effort changed?

What to try

Start with Cape petrels, choose any of the 18 most frequently recorded bird groups, scan the sampled sea grid, select a year, compare southern-hemisphere season and wind, and read the survey limits before drawing a conclusion.

Method and limits

About the data

I found the subject in TidyTuesday's April 14, 2026 catalog entry, then followed it to Te Papa's official At-Sea Observations of Seabirds 1969 to 1990 page. Te Papa identifies itself as publisher, licenses the dataset under Creative Commons Attribution 4.0 International, and asks adaptations to say: ‘This work uses data sourced from Te Papa.’ The New Zealand government data catalog independently lists the same publisher, license, and source page.

The analysis pins `birds.csv`, `ships.csv`, and `beaufort_scale.csv` to TidyTuesday commit `b2258ae949e3c64099c4e6d00ff4b68dba1d6d0e`. Their byte counts are 7,561,114, 1,540,588, and 318; their SHA-256 values are `d45631d0d5e1e7c988fc761942dde1312ffb14cb8043c4ae3f380e418ee2a1c9`, `ed4f1e78d34416cceb7c3cb4096f7870682e3ae04e8ca1b1d236e1b142aeb32e`, and `2c02a31e7a2a377a8a868b9d860675c716547fe69095aee73823719c12533a24`. A standard-library Python builder verifies those values, the expected columns, 12,310 ship periods, 49,019 bird rows, 13 Beaufort classes, and 12,111 full count periods before writing the browser snapshot. Repeated reductions produced the same 105,489-byte file with SHA-256 `5955e523b2990a0f193eba7d708e3d0e21981096920e416795ad334cce46149a`. The page imports that file and makes no runtime request.

The builder removes record identifiers and does not publish observer names, ship names, or raw bird counts. It keeps only aggregate full-count totals, dates, five-degree grid cells, season, grouped wind class, and the 18 most frequently recorded bird groups. Age, plumage, and sex suffixes are combined into the broader scientific identification before ranking. A bird group contributes at most one recorded presence to each full count period, even when several source rows share that group.

Every occurrence rate divides full count periods with a recorded presence by all comparable full count periods. The overall view uses 12,111 periods. The map uses 12,100 periods with coordinates, shows only cells with at least 15 periods, and lists only cells with at least 40. The season-and-wind view uses 7,430 periods with a usable Beaufort class, grouped as 0–3, 4–5, and 6–12.

Routes, seasons, locations, observers, weather, and annual effort changed together. A high rate says that a group appeared often in counts made under that displayed condition; it does not establish a complete geographic range, bird abundance, population change, or a causal effect of wind. Scientific names and source identifications also reflect the taxonomy and field certainty in the historical records.

Skills used

  • Data analysis
  • Data engineering
  • Statistical reasoning
  • Visualization
  • Information design
  • Interaction design
  • Visual design
  • Creative coding
  • Product thinking
  • Editorial storytelling
  • Accessibility
  • Performance
  • Systems design

What the data shows

  1. Wandering albatross group is the most frequently recorded identification, appearing in 5,627 of 12,111 full count periods, or 46.5%. Cape petrel and black-browed albatross group follow at 24.1% and 24.0%.
  2. Cape petrels appear in 49.2% of sampled winter periods and 39.4% of spring periods, compared with 6.7% in summer and 4.2% in autumn. The ship's route and locations also changed by season, so this is a pattern in the log rather than a controlled seasonal comparison.
  3. The strongest well-sampled Cape petrel map cell is the square beginning at 50°S, 170°E: 126 recorded presences in 139 full counts, or 90.6%. The grid shows this survey route and cannot stand in for the bird's complete range.
  4. Cape petrel's highest season-and-wind cell is winter during moderate to fresh breeze at 58.5%. Only 7,430 full count periods include a usable wind class, and wind overlaps with route, season, and location, so the view does not show that wind caused the bird to appear.