cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yu3env
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Aerodramus maximus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056045-250827131500795/datasets/export for details.
DOI: 10.15468/dl.tq3hge
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Aerodramus maximus)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056046-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tkbvu
title: Occurrence Download

description: A dataset containing 498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pteris cretica",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 498 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056047-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60594/w4t59b
title: Aerosol Data: Particulate Matter (PM2.5) mass and Black carbon (BC) concentrations and Gas Phase Data: Carbon monoxide, Ozone, and Nitrogen oxides measured at Fort Stewart in 2024 during prescribed burning events

description: The data is collected at one Georgia Tech (GT) instrumented trailer and one University of Central Florida (UCF) instrumented trailer located at different locations (shown in the locations information) from February 9 till 11, 2024. Trailer was set in the mentioned locations based on the planned burns of units E16.2 and E16.3 on February 10. This data was collected to improve the characterization of Ozone (O3) and Particulate matter (PM) formation in prescribed fire plumes through measurement.Particulate matter with aerodynamic diameters less than 2.5 µm (PM2.5) mass was measured using a Tapered Element Oscillating Microbalance (TEOM) series 1400a ambient particulate monitor (Thermo Fisher Scientific) and Black carbon (BC) concentration was measured using a 7-wavelength aethalometer model AE31 and AE33 (Magee Scientific). Carbon monoxide (CO) was measured using IR analyzer (Thermo Fisher Scientific Inc, model 48C). O3 was measured using UV analyzer (Thermo Fisher Scientific Inc, model 49C). Nitrogen oxides (NOx) was measured using Chemiluminescence analyzer (Thermo Fisher Scientific Inc, 42i).This dataset is part of the Wildland Fire Science Initiative (WFSI) research burn campaign held at Fort Stewart from 2-8-2024 to 2-10-2024. In addition, pre- and post-fire data collection occurred before and after these dates. See the most recent version of the contextual dataset “Fort Stewart 2024: Contextual data for Wildland Fire Science Initiative (WFSI) Research Burn Campaign” for more information about the campaign (see Annotations section for hasMetadata link).
DOI: 10.17026/dans-xvb-8sbk
title: Meliskerke Torenstraat 12-16 Meliskerke Torenstraat 12-16. Gemeente Veere. Inventariserend Veldonderzoek door middel van Proefsleuven

description: &lt;p&gt;Het voornemen is om nieuwbouw te realiseren aan de Torenstraat 12 tot 16 te Meliskerke. Hiertoe is de bestaande bebouwing gesloopt. Volgens een mondelinge mededeling van de opdrachtgever in het kader van het opstellen van het vooronderzoek zou deze nieuwbouw gefundeerd worden op een plaatfundering die wordt aangebracht op 0,80 m -mv. Het plangebied omvat (delen van) vijf percelen die kadastraal bekend staan onder Gemeente Mariekerke, Sectie E, Perceel 875 (ged.), 820, 848, 848 en 1025 en beslaat een oppervlakte van circa 575 m2.&lt;/p&gt;&lt;p&gt;In het kader van de benodigde omgevingsvergunning werd eerder een archeologisch vooronderzoek (bureauonderzoek en inventariserend veldonderzoek door middel van verkennende boringen) uitgevoerd. Op basis van de resultaten van dit onderzoek werd door de bevoegde overheid besloten dat het uitvoeren van een inventariserend veldonderzoek door middel van proefsleuven binnen het plangebied noodzakelijk was.&lt;/p&gt;&lt;p&gt;In totaal zijn twee proefsleuven gegraven waarin 3 tot 4 vlakken zijn aangelegd. Het eerste sporenniveau manifesteerde zich net onder de verstoorde laag, in de opgebrachte lagen uit de Nieuwe tijd, op een diepte vanaf 0,63 m -mv (0,31 m +NAP aan de noordzijde en 0,68 m +NAP aan de zuidzijde van het plangebied). Dit niveau bevat sporen van bewoning waarvan de oudste sporen dateren vanaf de 15de / 16de eeuw en de jongste uit de 20ste eeuw. Een tweede sporenniveau is aangetroffen in de opgebrachte, middeleeuwse/vroeg Nieuwe tijdse, lagen op een diepte van 0,92 m -mv (0,40 m +NAP aan de noordzijde en 0,01 m +NAP aan de zuidzijde van het plangebied). Dit sporenniveau omvat bewoningssporen die dateren tussen het einde van de late middeleeuwen en het begin van de Nieuwe tijd. Het derde sporenniveau is vastgesteld in de top van het Laagpakket van Walcheren op een diepte van 1,07 m -mv (0,14 m -NAP) aan de noordzijde en 1,32 m -mv (0 m NAP) aan de zuidzijde van het plangebied. Dit niveau bevat sporen die dateren tussen de 12de / 13de eeuw en de 15de eeuw.&lt;/p&gt;
DOI: 10.15468/dl.szp9r8
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pteris cretica",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 87 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056050-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17107079
title: Dataset: Electrode position, size, and orientation determine efficacy of cervical epidural stimulation to recruit forelimb muscles in rats

description: This repository contains the datasets used in the manuscript:

Electrode position, size, and orientation determine efficacy of cervical epidural stimulation to recruit forelimb muscles in rats

It includes three recruitment curve datasets:

L_CIRC.csv - Circular array experiments with 21 cardinal configurations (8 radii, 4 diameters, 8 vertices, and 1 center).

L_SHIE.csv - Circular array experiments with high-definition montage.

C_SMA_LAR.csv - Linear array experiments with small and large electrode size, and mediolateral positions.

 

Visualization

A Python script is provided below to generate recruitment curve plots for all datasets. It uses hbmep version 0.7.0 

Before running the script, update the constants DATA_DIR and OUTPUT_DIR to point to the correct paths (see comments in the script). 

import os
import logging

import pandas as pd
import numpy as np
import hbmep as mep
from hbmep.util import setup_logging

assert mep.__version__ == "0.7.0"
logger = logging.getLogger(__name__)

# Point this to directory where rat dataset is present
# after cloning this repository
DATA_DIR = "/home/vishu/data/rat-dataset"

# Point this to directory where the output PDFs will be saved
OUTPUT_DIR = "/home/vishu/reports/rat-mapping/plot_data"
os.makedirs(OUTPUT_DIR, exist_ok=True)


def main(experiment):
    intensity = "pulse_amplitude"
    response = ["LADM", "LBiceps", "LDeltoid", "LECR", "LFCR", "LTriceps"]
    features = ["participant", "compound_position"]
    match experiment:
        case "L_CIRC":
            pass
        case "L_SHIE":
            features.append("compound_charge_params")
        case "C_SMA_LAR":
            features.append("compound_size")
        case _:
            raise ValueError
    
    data_path = os.path.join(DATA_DIR, f"{experiment}.csv")
    df = pd.read_csv(data_path)
 
    # # Plot only a subset of the data
    # idx = (df[features[0]].isin(['amap01']))
    # df = df[idx].reset_index(drop=True).copy()

    output_path = os.path.join(OUTPUT_DIR, f"{experiment}.pdf")
    mep.plot(
        df=df,
        intensity=intensity,
        features=features,
        response=response,
        output_path=output_path,
    )
    logger.info(f"Saved to {output_path}")
    return


if __name__ == "__main__":
    setup_logging(OUTPUT_DIR)
    experiments = ["L_CIRC", "L_SHIE", "C_SMA_LAR"]
    for experiment in experiments:
        main(experiment)
DOI: 10.5281/zenodo.17107080
title: Dataset: Electrode position, size, and orientation determine efficacy of cervical epidural stimulation to recruit forelimb muscles in rats

description: This repository contains the datasets used in the manuscript:

Electrode position, size, and orientation determine efficacy of cervical epidural stimulation to recruit forelimb muscles in rats

It includes three recruitment curve datasets:

L_CIRC.csv - Circular array experiments with 21 cardinal configurations (8 radii, 4 diameters, 8 vertices, and 1 center).

L_SHIE.csv - Circular array experiments with high-definition montage.

C_SMA_LAR.csv - Linear array experiments with small and large electrode size, and mediolateral positions.

 

Visualization

A Python script is provided below to generate recruitment curve plots for all datasets. It uses hbmep version 0.7.0 

Before running the script, update the constants DATA_DIR and OUTPUT_DIR to point to the correct paths (see comments in the script). 

import os
import logging

import pandas as pd
import numpy as np
import hbmep as mep
from hbmep.util import setup_logging

assert mep.__version__ == "0.7.0"
logger = logging.getLogger(__name__)

# Point this to directory where rat dataset is present
# after cloning this repository
DATA_DIR = "/home/vishu/data/rat-dataset"

# Point this to directory where the output PDFs will be saved
OUTPUT_DIR = "/home/vishu/reports/rat-mapping/plot_data"
os.makedirs(OUTPUT_DIR, exist_ok=True)


def main(experiment):
    intensity = "pulse_amplitude"
    response = ["LADM", "LBiceps", "LDeltoid", "LECR", "LFCR", "LTriceps"]
    features = ["participant", "compound_position"]
    match experiment:
        case "L_CIRC":
            pass
        case "L_SHIE":
            features.append("compound_charge_params")
        case "C_SMA_LAR":
            features.append("compound_size")
        case _:
            raise ValueError
    
    data_path = os.path.join(DATA_DIR, f"{experiment}.csv")
    df = pd.read_csv(data_path)
 
    # # Plot only a subset of the data
    # idx = (df[features[0]].isin(['amap01']))
    # df = df[idx].reset_index(drop=True).copy()

    output_path = os.path.join(OUTPUT_DIR, f"{experiment}.pdf")
    mep.plot(
        df=df,
        intensity=intensity,
        features=features,
        response=response,
        output_path=output_path,
    )
    logger.info(f"Saved to {output_path}")
    return


if __name__ == "__main__":
    setup_logging(OUTPUT_DIR)
    experiments = ["L_CIRC", "L_SHIE", "C_SMA_LAR"]
    for experiment in experiments:
        main(experiment)
DOI: 10.15468/dl.64sey9
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.90123 33.13604,20.90123 33.13604,20.90123 45.86396,-10.90123 45.86396,-10.90123 33.13604))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Astroides calycularis (Pallas, 1766)"
 ]
}

 The dataset includes 164 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011303-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsccg2
title: Occurrence Download

description: A dataset containing 1289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.35616 39.23288,-8.86512 31.68809,-0.56586 31.68809,25.84089 29.04742,36.78082 34.70601,27.72708 44.13699,8.11064 50.17281,-7.35616 39.23288))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Adeonella calveti Canu & Bassler, 1930"
 ]
}

 The dataset includes 1289 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011320-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.na9jb4
title: Occurrence Download

description: A dataset containing 833 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-5.69421 35.12838,1.00737 32.39988,25.08519 28.04385,35.71198 31.10743,36.33427 34.98477,32.60053 40.34604,25.75534 43.50535,18.57508 46.13812,11.82563 45.75517,2.9221 44.70207,-1.91261 39.96309,-5.78995 36.99525,-5.69421 35.12838))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Centrostephanus longispinus (Philippi, 1845)"
 ]
}

 The dataset includes 833 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015732-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ze4mfm
title: Occurrence Download

description: A dataset containing 6869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.38975 35.40124,-5.88226 33.89376,14.92107 28.39143,36.3274 29.67279,39.71925 33.59226,36.77965 39.09459,24.41825 44.74767,14.8457 49.57163,3.84104 46.85815,-0.60605 43.01406,-7.38975 35.40124))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Axinella Schmidt, 1862"
 ]
}

 The dataset includes 6869 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011028-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qh6wx9
title: Occurrence Download

description: A dataset containing 2381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.79142 33.9512,0.5379 30.64819,21.79203 25.04744,38.7379 28.63766,36.72737 36.96699,29.40331 43.573,18.63263 46.44518,9.44166 47.73766,2.83564 45.1527,-6.92977 38.97751,-7.79142 33.9512))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cladocora caespitosa (Linnaeus, 1767)"
 ]
}

 The dataset includes 2381 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011310-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x73r5e
title: Occurrence Download

description: A dataset containing 11100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.62038 34.63389,2.57649 28.76132,19.51658 25.26037,38.94123 30.3424,45.03966 38.36071,41.87751 45.24968,36.56961 50.89638,16.5803 50.89638,6.52918 49.3153,-0.24686 42.76513,-7.0229 39.26418,-9.62038 34.63389))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chromis chromis (Linnaeus, 1758)"
 ]
}

 The dataset includes 11100 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011429-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95mmfd
title: Occurrence Download

description: A dataset containing 4206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Corallium rubrum (Linnaeus, 1758)"
 ]
}

 The dataset includes 4206 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011019-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u95vrj
title: Occurrence Download

description: A dataset containing 2406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.08312 35.32841,-3.27728 29.53085,9.45215 27.5143,30.49983 27.5143,41.46479 33.31187,39.19617 37.84909,33.52464 43.52062,23.82003 47.42767,15.24972 50.20042,4.78889 47.17561,0.88184 43.52062,-5.29383 40.49581,-10.08312 35.32841))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Clavelina Savigny, 1816"
 ]
}

 The dataset includes 2406 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011415-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcgwjv
title: Occurrence Download

description: A dataset containing 9579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.1026 35.81087,-9.1026 32.52681,2.55581 24.31666,33.75436 23.49565,47.219 34.49724,36.87421 45.82724,15.52784 51.24594,2.88421 45.66304,-7.29637 39.42333,-9.1026 35.81087))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coris julis (Linnaeus, 1758)"
 ]
}

 The dataset includes 9579 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011433-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vq46jz
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.83123 34.37411,0.01864 34.0093,25.00815 36.92778,19.9008 47.50728,4.94358 47.87209,-6.00073 40.75829,-9.83123 34.37411))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Diazona violacea Savigny, 1816"
 ]
}

 The dataset includes 214 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011410-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gych4h
title: Occurrence Download

description: A dataset containing 6550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.50823 39.86369,-9.01797 35.20276,-7.70334 30.78084,2.93316 25.40284,28.38905 23.25163,38.54751 28.39062,43.806 37.95152,30.06221 47.75144,18.35011 51.21726,8.31116 48.58802,-1.36925 42.37343,-6.50823 39.86369))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Epinephelus marginatus (Lowe, 1834)"
 ]
}

 The dataset includes 6550 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011480-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxrbs4
title: Occurrence Download

description: A dataset containing 9237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.51648 31.36472,42.33905 29.81711,28.11979 50.77181,-2.56388 42.41488,-7.5531 41.54176,-7.51648 31.36472))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Diplodus vulgaris (Geoffroy Saint-Hilaire, 1817)"
 ]
}

 The dataset includes 9237 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011462-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnre69
title: Occurrence Download

description: A dataset containing 5326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-12.23525 32.10051,37.23525 32.10051,37.23525 51.89949,-12.23525 51.89949,-12.23525 32.10051))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eunicella cavolini (Koch, 1887)"
 ]
}

 The dataset includes 5326 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011016-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wr9tf2
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.56031 40.05952,-9.53683 32.21287,3.42719 29.14245,24.12414 28.80129,28.67292 33.69122,27.64944 38.12629,20.82627 43.35738,16.05005 48.7022,5.92902 46.76897,0.81164 42.9025,-10.56031 40.05952))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Filograna implexa Berkeley, 1835"
 ]
}

 The dataset includes 96 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011352-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15601031
title: Data and Codes for the paper "Amplifying effect of multiyear La Niña on phytoplankton biomass in the tropical Pacific"

description: Data and Codes for the paper "Amplifying effect of multiyear La Niña on phytoplankton biomass in the tropical Pacific" by Lin et al., 2025.
DOI: 10.5281/zenodo.17107317
title: Data and Codes for the paper "Amplifying effect of multiyear La Niña on phytoplankton biomass in the tropical Pacific"

description: Data and Codes for the paper "Amplifying effect of multiyear La Niña on phytoplankton biomass in the tropical Pacific" by Lin et al., 2025.