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0 | solutionH20 : soil #ERROR! 2.5:1 ; Datagroup description : pH value ; Instrumentation : electrodes Sentix 81 and WTW pH-meter ( derived from datagroup ) ; Instrumentation : electrodes Sentix 81 and WTW pH-meter ( derived from datagroup ) electrodes Sentix 81 and WTW pH-meter ( derived from datagroup ) pH value ( pH_KCl... | [
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1 | Indicators : Access to clean fuels and technologies for cooking , Access to electricity , Adjusted net savings , Adjusted savings , Agricultural land , Agricultural methane emissions , Agricultural nitrous oxide emissions , Annual freshwater withdrawals , Aquaculture production , Arable land , Average precipitation in ... | [
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2 | biroi Alticinae sp.2 Tapinoma melanocephalum Diptera sp.2 Ochetellus glaber Alticinae sp.3 Monomorium chinense Chrysomelidae sp.1 Lepisiota opaca Halictinae sp.1 Nylanderia bourbonica Salticidae sp.3 Coleoptera 1 Chrysomelidae sp.4 Polyrhachis dives Diptera sp.1 Diptera sp.5 Diptera sp.8 Diptera sp.13 Diptera sp.14 Dip... | [
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3 | Indicators : Access to electricity , Adjusted savings , Agricultural land , Agricultural methane emissions , Agricultural nitrous oxide emissions , Arable land , Bird species , CO2 emissions , CO2 emissions from gaseous fuel consumption , CO2 emissions from liquid fuel consumption , CO2 emissions from solid fuel consum... | [
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4 | Source : Last updated at : ######## License - Creative Commons Attribution 4 CC-BY download_csv_1 county County string # string county name_of_the_aquaculture_production_business_farm Name of the Aquaculture Production business / farm string # string name_of_the_aquaculture_production_business_farm address_or_location_... | [
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5 | - [ ] Join this table on other data.world datasets ( prefereably country-level data ) - [ ] Write queries - [ ] Create graphics - [ ] Post and share discoveries # External resources * [ Data Explorer ] ( # / ) * [ Footprint Website ] ( * [ Calculate your own Ecological Footprint ] ( CC-BY-SA gfn_country_code_concordanc... | [
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6 | CSPs : Soil lipid biomass ; fungi and bacteria , 12 CSPs , overview Tesfaye Wubet Helmholtz Centre for Environmental Research UFZ Leipzig-Halle , Department of Soil Ecology Theodor-Lieser-StraÃÆÃ
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7 | us-doi-gov_e91a1d36-a740-408b-aefb-6d223183ef09 Fish abundance in the Elwha River estuary , Washingto ... 2006 Fish abundance in the Elwha River estuary , Washington , from 2006 to 2014 * Original Title * : Fish abundance in the Elwha River estuary , Washington , from 2006 to 2014 This portion of the data release prese... | [
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8 | Andreas Fichtner Helge Bruelheide Goddert von Oheimb Werner HÃÆÃ¤rdtle Andreas Schuldt German Centre for Integrative Biodiversity Research ( iDiv ) , Leipzig Deutscher Platz 5e Leipzig Germany 49 ( 0 ) 341 9733232 Matthias Kunz TU Dresden Germany 49 35203 383 1329 Florian Schnabel German Centre for Integrative Biod... | [
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11 | 19-23 72070 TÃÆÃ¼bingen Germany -2981918 Christian GeiÃÆÃ
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Dataset Card for BiodivNER 50S CliReNER
Dataset Summary
This dataset is a subsampled and reannotated version of BiodivNERE:
https://github.com/fusion-jena/BiodivNERE
Zenodo: https://doi.org/10.5281/zenodo.6575865
It was created to align with the CliReNER schema introduced in our new paper ([TODO: add paper title and link]). Original annotated spans are preserved; only entity labels are reassigned.
- Language: English
- Task: Named Entity Recognition (NER)
- Domain: Biodiversity and environmental science
- License: CC0 1.0 Universal (inherited from the original dataset)
Original Dataset
BiodivNERE provides gold-standard corpora for:
- Named Entity Recognition (BiodivNER)
- Relation Extraction (BiodivRE)
The NER corpus is doubly annotated (two annotators per file), with reported inter-annotator agreement (Cohen’s Kappa) of 0.71. The dataset includes predefined train/dev/test splits (80/10/10).
Please refer to the original repository and Zenodo record for full details on corpus construction, annotation workflow, and statistics.
Dataset Creation (This Version)
To align BiodivNER with the CliReNER schema and ensure comparability across datasets, we applied the same procedure used for CliReNERgold:
- Each entity type has at least 50 occurrences.
- Original span boundaries are kept unchanged.
- Only labels are reassigned according to the CliReNER schema.
- No new spans were introduced.
All spans were manually mapped to the new schema categories based on their semantic definitions.
Entity Schema (CliReNER)
This dataset uses the CliReNER entity taxonomy.
[TODO: Insert concise schema description or link to paper section]
Dataset Structure
The dataset follows standard BIO tagging:
- One token per line
- BIO labels (
B-,I-,O) - At most one entity type per token
Example:
[TODO]
Data Splits
| Split | Number of Instances |
|---|---|
| Train | [TODO] |
| Dev | [TODO] |
| Test | [TODO] |
Intended Uses
- Evaluation of biodiversity-focused NER systems
- Cross-domain schema harmonization
- Transfer learning between biodiversity and climate IE tasks
Limitations
- Subsampled from the original BiodivNER corpus.
- Span boundaries reflect the original annotation guidelines.
- Reannotation introduces a more abstract, cross-domain label space.
Licensing
This dataset is derived from BiodivNERE, released under CC0 1.0 Universal.
Original license:
https://creativecommons.org/publicdomain/zero/1.0/
Citation
Original Dataset
If you use this resource, please cite:
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