GBIF biodiversity data coverage by country (monthly)

Usage commercial OKÀ jour

Le jeu complet n’est pas encore publié — revenez après la prochaine actualisation.Télécharger l'exemple CSV Télécharger l'exemple JSONLignes d’exemple seulement (jusqu’à 20) — pas le jeu de données complet.

Monthly country-level index of biodiversity occurrence-data coverage from the GBIF occurrence search API joined with World Bank 2024 population. For each country/territory with GBIF occurrence records, the connector pulls GBIF's country-faceted counts (all records plus the hasCoordinate=true subset) and joins World Bank 2024 population (SP.POP.TOTL); ISO codes are resolved through GBIF's own country vocabulary with hub.normalize canonicalization, and GBIF's non-territory codes (ZZ/XZ) are dropped loudly. Each row carries occurrence counts, georeferenced share, global share, records per 100k inhabitants, and a documented 0-100 coverage_score = min-max of log10(records per 100k), ranked as coverage_rank, with data-gap (bottom-quartile per-capita), low-georeference (<50% with coordinates), and small-population (<100k) flags. Month-granular as-of stamping makes same-month re-runs hash-identical; every row carries its exact GBIF and World Bank query URLs. Primary key: (snapshot_month, country_code). Caveats: GBIF counts measure digitized/published records, not true biodiversity — high scores mean strong digitization effort; microstates top the per-capita ranking (flagged); month-to-month deltas mix real growth with publisher backfill; 34 economies (incl. Taiwan, 26.4M records) have no World Bank 2024 population and carry NULL per-capita metrics. Only aggregate counts are stored (factual statistics); GBIF.org citation and World Bank attribution required. Sample use: order by coverage_rank for the best-digitized countries, or filter data_gap_flag = 1 for under-documented countries.

Les titres et les descriptions proviennent des sources de données, en anglais.

Source: GBIF biodiversity data coverage index (agent-curated)
Lignes: 250
Colonnes: 19
Cadence de la source: Mensuelle
Dernière actualisation: 25 sept. 2026
Thème: environment

Colonne	Type	Description
snapshot_month	string	ISO calendar month of the fetch (YYYY-MM); the logical snapshot identity together with country_code. (unit: ISO month)
fetched_at	string	Fetch timestamp, month-granular: the first of snapshot_month at 00:00 UTC. Same-month re-runs produce identical snapshots; a new month always yields a new content-hashed snapshot. (unit: ISO datetime)
country_code	string	ISO 3166-1 alpha-3 code resolved through GBIF's own country vocabulary (XKX for Kosovo). Primary row identity with snapshot_month. (unit: ISO alpha-3)
country_name	string	Canonical English short name from hub.normalize; territories the hub table does not cover use GBIF's vocabulary title. (unit: name)
occurrence_count	integer	GBIF occurrence records attributed to the country (all record types). Factual aggregate from the GBIF occurrence search API. (unit: records)
georeferenced_count	integer	Subset of occurrence_count with coordinates (GBIF hasCoordinate=true facet). (unit: records)
coordinate_share	float	georeferenced_count / occurrence_count (0-1); the share of records usable on a map. (unit: ratio)
share_global_pct	float	Country's percent share of all GBIF occurrence records in the snapshot. (unit: percent)
population_2024	float	World Bank WDI total population (SP.POP.TOTL) for 2024. NULL for the 34 GBIF economies with no World Bank entry (incl. Taiwan). (unit: persons)
population_year	float	Reference year of population_2024 (2024); NULL when population is NULL. (unit: year)
records_per_100k	float	occurrence_count per 100,000 inhabitants; NULL when population_2024 is NULL. Blows up for microstates (see small_population_flag). (unit: records/100k)
coverage_score	float	0-100 min-max of log10(records_per_100k) over all scored countries; a digitization-coverage heuristic, NOT a biodiversity measure. NULL when records_per_100k is NULL. (unit: score 0-100)
coverage_tier	string	Tertile bucket of coverage_score: high (>= 66.67), medium (>= 33.33), low. NULL when unscored. (unit: category)
coverage_rank	integer	Rank by coverage_score desc (ties: occurrence_count desc, country_code asc); 1 = best digitization coverage. NULL when unscored. (unit: rank)
data_gap_flag	integer	1 when records_per_100k is below the global 25th percentile (under-documented); NULL when unscored. (unit: flag)
low_georeference_flag	integer	1 when fewer than half the country's records carry coordinates (coordinate_share < 0.5). (unit: flag)
small_population_flag	integer	1 when population_2024 < 100,000: per-capita ratios are unstable for microstates. (unit: flag)
gbif_source_url	string	Exact GBIF occurrence-search query behind this row's counts (country filter, limit=0). (unit: URL)
wb_source_url	string	Exact World Bank API query behind this row's population value; NULL when the country has no World Bank entry. (unit: URL)

10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.

snapshot_month	fetched_at	country_code	country_name	occurrence_count	georeferenced_count	coordinate_share	share_global_pct	population_2024	population_year	records_per_100k	coverage_score	coverage_tier	coverage_rank	small_population_flag	gbif_source_url	wb_source_url
2026-09	2026-09-01T00:00:00+00:00	IMN	Isle of Man	1 937 177	1 934 230	0,999	0,049	84 160	2 024	2 301 778,75	100	high	1	1	https://api.gbif.org/v1/occurrence/search?country=IM&limit=0	https://api.worldbank.org/v2/country/IM/indicator/SP.POP.TOTL?format=json&date=2024
2026-09	2026-09-01T00:00:00+00:00	ASM	American Samoa	991 700	934 746	0,943	0,025	46 765	2 024	2 120 603,02	99,09	high	2	1	https://api.gbif.org/v1/occurrence/search?country=AS&limit=0	https://api.worldbank.org/v2/country/AS/indicator/SP.POP.TOTL?format=json&date=2024
2026-09	2026-09-01T00:00:00+00:00	GRL	Greenland	1 134 624	846 596	0,746	0,029	56 836	2 024	1 996 312,2	98,42	high	3	1	https://api.gbif.org/v1/occurrence/search?country=GL&limit=0	https://api.worldbank.org/v2/country/GL/indicator/SP.POP.TOTL?format=json&date=2024
2026-09	2026-09-01T00:00:00+00:00	BLZ	Belize	7 896 311	7 778 256	0,985	0,199	417 072	2 024	1 893 272,86	97,84	high	4	0	https://api.gbif.org/v1/occurrence/search?country=BZ&limit=0	https://api.worldbank.org/v2/country/BZ/indicator/SP.POP.TOTL?format=json&date=2024
2026-09	2026-09-01T00:00:00+00:00	NOR	Norway	96 563 835	95 227 148	0,986	2,437	5 572 279	2 024	1 732 932,52	96,86	high	5	0	https://api.gbif.org/v1/occurrence/search?country=NO&limit=0	https://api.worldbank.org/v2/country/NO/indicator/SP.POP.TOTL?format=json&date=2024
2026-09	2026-09-01T00:00:00+00:00	SWE	Sweden	175 883 116	173 022 918	0,984	4,44	10 569 709	2 024	1 664 029,88	96,41	high	6	0	https://api.gbif.org/v1/occurrence/search?country=SE&limit=0	https://api.worldbank.org/v2/country/SE/indicator/SP.POP.TOTL?format=json&date=2024
2026-09	2026-09-01T00:00:00+00:00	PLW	Palau	292 959	243 289	0,831	0,007	17 695	2 024	1 655 603,28	96,35	high	7	1	https://api.gbif.org/v1/occurrence/search?country=PW&limit=0	https://api.worldbank.org/v2/country/PW/indicator/SP.POP.TOTL?format=json&date=2024
2026-09	2026-09-01T00:00:00+00:00	BMU	Bermuda	736 950	695 851	0,944	0,019	64 636	2 024	1 140 154,09	92,23	high	8	1	https://api.gbif.org/v1/occurrence/search?country=BM&limit=0	https://api.worldbank.org/v2/country/BM/indicator/SP.POP.TOTL?format=json&date=2024
2026-09	2026-09-01T00:00:00+00:00	DNK	Denmark	67 738 920	66 700 789	0,985	1,71	5 976 992	2 024	1 133 327,93	92,16	high	9	0	https://api.gbif.org/v1/occurrence/search?country=DK&limit=0	https://api.worldbank.org/v2/country/DK/indicator/SP.POP.TOTL?format=json&date=2024
2026-09	2026-09-01T00:00:00+00:00	FIN	Finland	53 786 422	53 219 429	0,99	1,358	5 619 911	2 024	957 068,93	90,29	high	10	0	https://api.gbif.org/v1/occurrence/search?country=FI&limit=0	https://api.worldbank.org/v2/country/FI/indicator/SP.POP.TOTL?format=json&date=2024

Profilé le 25 sept. 2026 à partir de l’instantané 20260925T144956Z-d65c0b65e3c4

Mesuré

Complétude: 94,3 %
Lignes: 250
Colonnes: 19
Colonnes incomplètes: 8

Colonne	Manquant	Distinctes	Plage	Distribution
snapshot_monthvarchar	0 %	1	—	2026-09250
fetched_atvarchar	0 %	1	—	2026-09-01T00:00:00+00:00250
country_codevarchar	0 %	292	—	ABW1 AFG1 AGO1
country_namevarchar	0 %	246	—	Afghanistan1 Albania1 Algeria1
occurrence_countbigint	0 %	261	4 432 → 1 320 335 895médiane 760 617	6 hors du 1er–99e centile
georeferenced_countbigint	0 %	260	3 682 → 1 278 626 406médiane 652 866	6 hors du 1er–99e centile
coordinate_sharedouble	0 %	222	0,1148 → 0,9997médiane 0,9115	6 hors du 1er–99e centile
share_global_pctdouble	0 %	190	0,0001 → 33,33médiane 0,0192	6 hors du 1er–99e centile
population_2024double	13,6 %	233	9 646 → 1 450 935 791médiane 6 751 308	6 hors du 1er–99e centile
population_yeardouble	13,6 %	1	2 024 → 2 024médiane 2 024
records_per_100kdouble	13,6 %	184	273,86 → 2 301 779médiane 25 768	6 hors du 1er–99e centile
coverage_scoredouble	13,6 %	263	0 → 100médiane 50,29	6 hors du 1er–99e centile
coverage_tiervarchar	0 %	3	—	medium96 low95 high59
coverage_rankbigint	13,6 %	237	1 → 216médiane 108,5	6 hors du 1er–99e centile
data_gap_flagbigint	13,6 %	2	0 → 1médiane 0
low_georeference_flagbigint	0 %	2	0 → 1médiane 0
small_population_flagbigint	13,6 %	2	0 → 1médiane 0
gbif_source_urlvarchar	0 %	256	—	https://api.gbif.org/v1/occurrence/search?country=AD&limit=01 https://api.gbif.org/v1/occurrence/search?country=AE&limit=01 https://api.gbif.org/v1/occurrence/search?country=AF&limit=01
wb_source_urlvarchar	13,6 %	197	—	https://api.worldbank.org/v2/country/AD/indicator/SP.POP.TOTL?format=json&date=20241 https://api.worldbank.org/v2/country/AE/indicator/SP.POP.TOTL?format=json&date=20241 https://api.worldbank.org/v2/country/AF/indicator/SP.POP.TOTL?format=json&date=20241

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/gbif_biodiversity_signals/gbif_biodiversity_coverage_monthly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/gbif_biodiversity_signals/gbif_biodiversity_coverage_monthly").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

Point d’accès API : https://datazimuts.com/v1/datasets/gbif_biodiversity_signals/gbif_biodiversity_coverage_monthly

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.

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APA

GBIF biodiversity data coverage index (agent-curated). (2026). GBIF biodiversity data coverage by country (monthly) [Data set, snapshot 20260925T144956Z-d65c0b65e3c4, sha256 d65c0b65e3c4]. Datazimuts. Retrieved 2026-09-25, from https://datazimuts.com/fr/datasets/gbif_biodiversity_signals/gbif_biodiversity_coverage_monthly?snapshot=20260925T144956Z-d65c0b65e3c4

BibTeX

@misc{dz_gbif_biodiversity_signals_gbif_biodivers_d65c0b65,
  title        = {{GBIF biodiversity data coverage by country (monthly)}},
  author       = {{GBIF biodiversity data coverage index (agent-curated)}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/fr/datasets/gbif_biodiversity_signals/gbif_biodiversity_coverage_monthly?snapshot=20260925T144956Z-d65c0b65e3c4}},
  note         = {Snapshot 20260925T144956Z-d65c0b65e3c4, sha256 d65c0b65e3c4fa9df8c36be318a9fb7b9991f368ce7c27c1a998466390b372b7; accessed 2026-09-25}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=gbif_biodiversity_signals%2Fgbif_biodiversity_coverage_monthly&lang=fr&theme=auto&snapshot=20260925T144956Z-d65c0b65e3c4&x=population_year&y=occurrence_count&agg=avg" title="GBIF biodiversity data coverage by country (monthly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>

GBIF biodiversity data coverage by country (monthly)

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