Hugging Face's logo

Datasets:
kitsuiwebster
/
Palma-1.0

Languages:
English
Size:
1K<n<10K
Tags:
palms
botany
biodiversity
taxonomy
plant-traits
palm-species
License:
Dataset card Files
xet
Community
1
Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Column() changed from object to string in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 174, in _generate_tables
                  df = pandas_read_json(f)
                       ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1391, in _parse
                  self.obj = DataFrame(
                             ^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/core/frame.py", line 778, in __init__
                  mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
                  return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
                  index = _extract_index(arrays)
                          ^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 677, in _extract_index
                  raise ValueError("All arrays must be of the same length")
              ValueError: All arrays must be of the same length
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 503, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 350, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 177, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 151, in _generate_tables
                  pa_table = paj.read_json(
                             ^^^^^^^^^^^^^^
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Palma-1.0 Dataset

Comprehensive Database of Global Palm Species

Palma-1.0 is a comprehensive exploration of palm species, including the PalmTraits 1.0 dataset enriched with data from GBIF, iNaturalist, Wikimedia Commons, and Plants of the World Online (POWO).

Dataset Overview

Palma-1.0 contains comprehensive data on 2,557 palm species across 181 genera. The dataset combines morphological traits, taxonomic classification, geographic distribution, and detailed fruit characteristics, enhanced with information from multiple authoritative sources.

Key Statistics

  • 2,557 Species - Comprehensive coverage of palm biodiversity
  • 181 Genera - Representing the taxonomic breadth of the Arecaceae family
  • 120+ Countries - Global distribution across tropical and subtropical regions
  • 35 Variables - Covering taxonomy, morphology, geography, and fruit characteristics

Dataset Structure

The dataset is organized into several major categories of variables:

1. Taxonomy

Variable Description Example
SpecName Complete scientific name of the species Acanthophoenix crinita
accGenus Taxonomic genus Acanthophoenix
accSpecies Species epithet crinita
PalmTribe Taxonomic tribe Areceae
PalmSubfamily Subfamily within Arecaceae Arecoideae

2. Native Zone & Common Names

Variable Description Example
NativeRegion Primary native geographic region EC. & SE. Réunion
CommonNamesEN Common names in English Everglades palm, paurotis palm
CommonNamesFR Common names in French Palmiste rouge, Palmiste boure
CommonNamesSP Common names in Spanish tasiste
Photos URLs to species photographs [URL links to images]
PhotoReferences Attribution for photographs (c) Aurélien Bour, some rights reserved (CC BY-NC)

3. Growth & Habit

Variable Description Example
Climbing Climbing growth habit (0/1) 0
Acaulescent Without an above-ground stem (0/1) 0
Erect Upright growth pattern (0/1) 1
StemSolitary Single stem vs. clustering (0/1) 1
StemArmed Presence of spines on stem (0/1) 1
MaxStemHeight_m Maximum height (m) 15
MaxStemDia_cm Maximum stem diameter (cm) 20
UnderstoreyCanopy Growth position in forest structure canopy

4. Leaf Characteristics

Variable Description Example
LeavesArmed Presence of spines on leaves (0/1) 1
MaxLeafNumber Maximum number of leaves 15
Max_Blade_Length_m Maximum leaf blade length (m) 2.3
Max_Rachis_Length_m Maximum rachis length (m) 3
Max_Petiole_length_m Maximum petiole length (m) 0.65

5. Fruit Characteristics

Variable Description Example
AverageFruitLength_cm Average fruit length (cm) 0.65
MinFruitLength_cm Minimum fruit length (cm) 0.6
MaxFruitLength_cm Maximum fruit length (cm) 0.7
AverageFruitWidth_cm Average fruit width (cm) 0.5
MinFruitWidth_cm Minimum fruit width (cm) 0.5
MaxFruitWidth_cm Maximum fruit width (cm) 0.9
FruitSizeCategorical Categorical fruit size small
FruitShape Fruit shape description ovoid
FruitColorDescription Detailed description of fruit colors black
MainFruitColors Dominant colors of ripe fruit black
Conspicuousness Visibility of the fruit cryptic

Data Sources

Primary Dataset

  • PalmTraits 1.0: The foundational dataset containing morphological and ecological data for palm species worldwide.

Enrichment Sources

  1. GBIF (Global Biodiversity Information Facility)

    • Over 1.8 million palm observations
    • Provides occurrence data and taxonomic information

  2. iNaturalist

    • Over 250,000 palm observations
    • Citizen science platform with photo documentation

  3. POWO (Plants of the World Online)

    • Definitive source for accepted taxonomy
    • Maintained by the Royal Botanic Gardens, Kew

  4. Wikimedia Commons

    • Repository of CC-licensed palm images
    • Used for visual documentation of species

Methodology

The dataset was developed through the following process:

  1. Data Collection

    • Primary data extracted from PalmTraits 1.0
    • Enriched with API queries to GBIF, iNaturalist, and POWO

  2. Taxonomic Harmonization

    • Reference taxonomy from POWO used as standard
    • Resolution of synonymies and taxonomic inconsistencies

  3. Validation and Cleaning

    • Rigorous validation to identify and correct outliers
    • Manual verification of inconsistent records using scientific literature

  4. Geospatial Enrichment

    • Addition of environmental information from global geospatial layers
    • Characterization of ecological niches

  5. Analysis and Visualization

    • Statistical methods applied to explore patterns
    • Visualization of distribution and trait relationships

Available Formats

The dataset is available in multiple formats:

  • CSV (comma-separated values)
  • JSON (JavaScript Object Notation)
  • Plain text

All available for download from the Palma Encyclopedia Website in the Dataset section, or directly from this repository.

Citation

If you use this dataset in your research, please cite:

Palma-1.0: A global database of palm functional traits, based on PalmTraits 1.0 and enhanced with GBIF, 
iNaturalist, Wikimedia Commons and POWO data (2025). Encyclopedia of Palms Project.

License

This dataset is made available under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

Contact

For questions, suggestions, or collaboration inquiries, please open an issue in this repository or contact:

Email: contact@kitsuiwebster.com Twitter: @kitsuiwebster

Downloads last month
73