cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/z3mckkj5fj.1
title: Tackling Impacts of Ship Waste

description: I used the references from different data sources
DOI: 10.5061/dryad.t85f7
title: Data from: Evaluation and mechanism of ammonia nitrogen removal using sediments from a malodorous river

description: Malodorous rivers are among the major environmental problem of cities in
 developing countries. In addition to the unpleasant smell, the sediments
 of such rivers can act as a sink for pollutants. The excessive amount of
 ammonia nitrogen (NH3−N) in rivers is the main factor that causes the
 malodor. Therefore, a suitable method is necessary for sediment
 disposition and NH3−N removal in malodorous rivers. The sediment in a
 malodorous river (PS) in Beijing, China was selected and modified via
 calcination (PS-D), Na+ doping (PS-Na), and calcination−Na+ doping
 (PS-DNa). The NH3−N removal efficiency using the four sediment materials
 was evaluated, and results indicated that the NH3−N removal efficiency
 using the modified sediment materials could reach over 60%. PS-DNa
 achieved the highest NH3−N removal efficiency (90.04%). The kinetics study
 showed that the pseudo-second-order model could effectively describe the
 sorption kinetics and that the exterior activated site had the main
 function of P sorption. The results of the sorption isotherms indicated
 that the maximum sorption capacities of PS-Na, PS-D, and PS-DNa were
 0.343, 0.831, and 1.113 mg g−1, respectively, and a high temperature was
 favorable to sorption. The calculated thermodynamic parameters suggested
 that sorption was a feasible or spontaneous (ΔG &lt; 0),
 entropy-driven (ΔS &gt; 0), and endothermic (ΔH &gt; 0) reaction.
description: Data
DOI: 10.15468/dl.e7uusk
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neoseiulus barkeri"
 ]
}

 The dataset includes 224 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001525-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.kb552
title: Data from: Digital photography provides a fast, reliable and non-invasive method to estimate anthocyanin pigment concentration in reproductive and vegetative plant tissues

description: 1. Anthocyanin pigments have become a model trait for evolutionary ecology
 since they often provide adaptive benefits for plants. Anthocyanins have
 been traditionally quantified biochemically, or more recently using
 spectral reflectance. However, both methods require destructive sampling
 and can be labour intensive and challenging with small samples. Recent
 advances in digital photography and image processing make it the method of
 choice for measuring colour in the wild. Here, we use digital images as a
 quick, non-invasive method to estimate relative anthocyanin concentration
 among plants exhibiting colour variation. 2. By using a consumer-level
 digital camera and a free image processing toolbox, we extracted RGB
 values from digital images to generate colour indices. We tested petals,
 stems, pedicels and calyces of six species, which contain different types
 of anthocyanin pigments and exhibit different pigmentation patterns.
 Colour indices were assessed by their correlation to biochemically
 determined anthocyanin concentration. For comparison, we also calculated
 colour indices from spectral reflectance and tested the correlation with
 anthocyanin concentration. 3. Indices perform differently depending on the
 nature of the colour variation. For both digital images and spectral
 reflectance, the most accurate estimates of anthocyanin concentration
 emerge from anthocyanin content-chroma ratio (ACCR), anthocyanin-chroma
 basic (ACCB) and strength of green (S green) indices. Some colour indices
 derived from digital images and spectral reflectance strongly correlate
 with biochemically determined anthocyanin concentration, but the estimates
 from digital images performed better than spectral reflectance in terms of
 2 and normalized root-mean-square error. This was particularly noticeable
 in a species with striped petals, but in the case of striped calyces both
 methods showed a comparable relationship with anthocyanin concentration.
 4. Using digital images brings new opportunities to accurately quantify
 the anthocyanin concentration in both floral and vegetative tissues. This
 method is efficient, completely non-invasive, applicable to both uniform
 and patterned colour, and works with samples of any size.
description: Data from digital images
 and reflectancesData from digital images
 and reflectances from: Borago officinalis (petals and pedicels), Malva
 sylvestris (petals), Moricandia moricandioides (petals), Orchis italica
 (petals), Silene littorea (petals and calyces) and Sonchus oleraceus
 (stems).Dryad
 file_original.xlsx
DOI: 10.15468/dl.xv8nxa
title: Occurrence Download

description: A dataset containing 15712722 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((1.346086 42.70922, 1.189417 42.74664, 0.8582151 42.82574, 0.7154843 42.84346, 0.6803408 42.74664, 0.6707594 42.67969, 0.747496 42.59838, 0.7057014 42.48155, 0.7507115 42.31187, 0.6707594 42.103, 0.6330839 42.00458, 0.5801831 41.86638, 0.3454712 41.68824, 0.4307909 41.56346, 0.3359484 41.40743, 0.3855578 41.27861, 0.2207545 41.07133, 0.2765176 40.97335, 0.2602128 40.82403, 0.216369 40.77952, 0.1704853 40.73294, 0.216369 40.70498, 0.5152384 40.52292, 0.6074205 40.6117, 0.6707594 40.63329, 0.8413156 40.69141, 0.7262951 40.81232, 0.9780064 41.02948, 1.645323 41.19562, 2.099489 41.2937, 2.290318 41.46408, 2.778513 41.64881, 3.016327 41.79855, 3.208647 41.91964, 3.212317 42.00458, 3.138624 42.18052, 3.258612 42.31325, 3.173376 42.43359, 3.174022 42.43524, 3.016327 42.44911, 2.884435 42.46071, 2.547207 42.34326, 2.240354 42.43213, 2.040046 42.36159, 1.921569 42.45169, 1.731011 42.4924, 1.725801 42.5044, 1.465675 42.44509, 1.442566 42.60367, 1.346086 42.70922))"
 ]
}

 The dataset includes 15712722 records from 1243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001502-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9x4rhs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathytroctes microlepis Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.9648 10.8496,26.9648 10.8496,26.9648 1.8496,35.9648 1.8496,35.9648 10.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010677-250525065834625/datasets/export for details.
DOI: 10.57687/fk2/kxrc51
title: PM-KIMEN 24A: A dataset for analyzing EEG-based concentration and performance in gamified learning environments

description: This dataset was collected during the EEG-Gamified Simulator Pilot experiment, which explores the relationship between concentration, socio-emotional skills, and executive functions in educational simulation environments. The dataset combines neurocognitive, biometric, and task performance data to evaluate how concentration impacts skill acquisition. Participants engaged in gamified simulation tasks while their cognitive and emotional states were monitored using EEG devices and advanced educational tools. The study involved undergraduate students from diverse academic disciplines interacting with a gamified simulator designed to foster decision-making. Data were collected over two sessions (S2, S3), integrating EEG metrics and performance indicators. This dataset is valuable for understanding the dynamic interplay between cognitive engagement and task performance in simulated learning environments. It supports interdisciplinary research in neuroeducation, gamification, and educational technology. The database includes the following variables: General Identifiers: ● User: Unique numerical identifier for each participant, ranging from 1 to 14. ● Session: Unique text identifier for each session in the format "SN" (e.g., S1, S2, S3). ● Timestamp: Date and time of data collection in the format "yyyy/mm/dd HH:MM". ● Time: Elapsed time during each task, recorded in "HH:MM:SS". EEG and Brainwave Data: ● RAW_TP9, RAW_AF7, RAW_AF8, RAW_TP10: Raw EEG data in microvolts recorded at specific sensor locations (TP9, AF7, AF8, TP10). ● RazonTP9(B/T), RazonAF7(B/T), RazonAF8(B/T), RazonTP10(B/T): Ratios of beta to theta brainwave bands for each sensor location, reflecting concentration levels. ● X_Delta, X_Theta, X_Alpha, X_Beta, X_Gamma, X_Razon(B/T): Mean values of delta, theta, alpha, beta, gamma bands, and beta-to-theta ratio for each session. ● S_Delta, S_Theta, S_Alpha, S_Beta, S_Gamma, S_Razon(B/T): Standard deviations for the respective brainwave bands and ratios, providing variability measures. Concentration Analysis: ● Peaks_Concentration: Detected outliers where concentration values exceed two standard deviations, indicating significant concentration spikes. ● Total_Peaks: Count of concentration peaks identified during the session. ● Predicts_Concentration: Concentration levels calculated using the predictive model developed by Pérez-Gómez et al. (2025), which estimates concentration through a low-cost EEG device. ● Total_Predicts: Count of predicted concentration peaks using the authors' model. Simulator Performance Metrics (KPIs): ● KPI Plazo: Measures time management efficiency within tasks. ● KPI Costo: Evaluates resource management during simulations. ● KPI Satisfacción: Represents satisfaction levels of stakeholders involved in the simulation. ● KPI Total: Aggregates all performance metrics to provide an overall performance score.
DOI: 10.57687/fk2/kxrc51/cqckg8
title: Kimentest_DataDictionary.xlsx

description: :unav
DOI: 10.57687/fk2/kxrc51/umnm9l
title: Kimen_Dataset - Teaser.xlsx

description: :unav
DOI: 10.15468/dl.hxnja8
title: Occurrence Download

description: A dataset containing 46685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Didelphis virginiana"
 ]
}

 The dataset includes 46685 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031999-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13724578
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17604701
title: SI to Identification of polar bioactive substances in the Upper Rhine using effect-directed analysis

description: SI to the paper Identification of polar bioactive substances in the Upper Rhine using effect-directed analysis stored here as open data
DOI: 10.5281/zenodo.17604702
title: SI to Identification of polar bioactive substances in the Upper Rhine using effect-directed analysis

description: SI to the paper Identification of polar bioactive substances in the Upper Rhine using effect-directed analysis stored here as open data
DOI: 10.15468/dl.jwz6bs
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "Geometry POLYGON((-94.37826 14.44833,-89.75464 14.44833,-89.75464 18.29071,-94.37826 18.29071,-94.37826 14.44833))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bactris major"
 ]
}

 The dataset includes 76 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032000-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57687/fk2/qpzseg
title: EC-PAG01 25A: A dataset of Neurological and Physiological Data in Strategic Thinking Class

description: This dataset was collected during the course titled Strategic Thinking, aimed at undergraduate students in Strategy and Business Transformation (LAET). Two data collection sessions were conducted (Pre: February 21, Post: March 11), using two biometric devices in both sessions: an electroencephalogram (EEG) and the Embrace Plus device. The purpose of the data collection is to identify changes in the physiological and neurological states of students during different phases of pedagogical activities aimed at developing strategic thinking skills. Database Structure General Identifiers : ●User: Unique numeric identifier for each participant. ● TimeStamp: Timestamp in the format 'yyyy/mm/dd HH:MM'. ●Time: Elapsed time during each task, recorded in the format 'HH:MM:SS'. ●Section: Phase of the class during which data were recorded. EEG Data ●EEG Sensors: Includes raw signals from four locations: TP9, AF7, AF8, TP10. ●Brainwave Bands: Mean values and standard deviation for delta, theta, alpha, beta, and gamma bands for each sensor. Embrace Plus Data ●Electrodermal Activity (EDA): Electrodermal activity measured in μSiemens. ●Blood Volume Pulse (BVP): Blood volume pulse, the primary parameter from the device. ●Body Temperature: Measured in degrees Celsius.
DOI: 10.57687/fk2/qpzseg/bsq3bf
title: [Teaser]EmbracePlus_Dataset - 11Mar.tab

description: :unav
DOI: 10.57687/fk2/qpzseg/r3sicw
title: EEG_Dataset_Dictionary 11Mar.xlsx

description: :unav
DOI: 10.57687/fk2/qpzseg/dq2dq9
title: EEG_Dataset_Dictionary (21Feb).xlsx

description: :unav
DOI: 10.57687/fk2/qpzseg/zkbagz
title: [Teaser]EEG_Dataset - 11Mar.tab

description: :unav
DOI: 10.57687/fk2/qpzseg/1cjwur
title: [Teaser] EEG_Dataset 21Feb.tab

description: :unav
DOI: 10.57687/fk2/qpzseg/ruxmov
title: [Teaser] EmbracePlus_Dataset - 21Feb.tab

description: :unav
DOI: 10.57687/fk2/qpzseg/99hk6k
title: EmbracePlus_Dataset_Dictionary (21Feb).xlsx

description: :unav
DOI: 10.57687/fk2/qpzseg/bjvcfl
title: EmbracePlus_Dataset_Dictionary 11Mar.xlsx

description: :unav
DOI: 10.5281/zenodo.17604669
title: Datasets for Emission Factors and Optical Properties of Black and Brown Carbon Emitted at a Mixed-Conifer Prescribed Burn
DOI: 10.5281/zenodo.17604670
title: Datasets for Emission Factors and Optical Properties of Black and Brown Carbon Emitted at a Mixed-Conifer Prescribed Burn
DOI: 10.34740/kaggle/dsv/13724588
title: News UAD
DOI: 10.15468/dl.53d9v7
title: Occurrence Download

description: A dataset containing 77744410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "ClassKey is Aves",
 {
 "not" : {
 "ScientificName" : [
 "is Sternula nereis Gould, 1843"
 ]
 }
 }
 ]
}

 The dataset includes 77744410 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031969-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2acfnt
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Living Specimen, Human Observation)",
 "Geometry POLYGON((-75.53525 3.12311,-75.5845 2.98334,-75.59227 2.78141,-75.5819 2.54837,-75.39527 2.44219,-75.20604 2.48363,-75.10236 2.74516,-74.97016 2.95227,-75.00645 3.15159,-75.53525 3.12311))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 262 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032002-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhkhcj
title: Occurrence Download

description: A dataset containing 1050529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.84296 8.63489,-79.81985 8.62815,-79.82889 8.63953,-79.82714 8.65088,-79.81725 8.65582,-79.80416 8.65291,-79.80183 8.66048,-79.78961 8.66979,-79.77739 8.67211,-79.76139 8.68171,-79.75965 8.69684,-79.75616 8.7175,-79.75412 8.72622,-79.76314 8.75066,-79.77158 8.78411,-79.7675 8.80739,-79.75461 8.82024,-79.74852 8.83902,-79.73634 8.85322,-79.72112 8.86337,-79.71046 8.87301,-79.68611 8.88367,-79.66734 8.88874,-79.64501 8.89381,-79.61863 8.89483,-79.60036 8.89686,-79.56789 8.90244,-79.54513 8.93753,-79.53713 8.9632,-79.52493 8.99686,-79.52325 9.02758,-79.52787 9.03347,-79.53142 9.03416,-79.53963 9.04251,-79.55335 9.05221,-79.57559 9.07071,-79.59274 9.08324,-79.60781 9.09712,-79.62617 9.11174,-79.65362 9.11652,-79.66835 9.11909,-79.68154 9.11656,-79.74446 9.11402,-79.75055 9.09677,-79.75258 9.07039,-79.75917 9.04958,-79.77947 9.02776,-79.78308 8.99509,-79.82132 8.94225,-79.85176 8.92195,-79.87996 8.87287,-79.89255 8.82345,-79.88678 8.79004,-79.89366 8.75656,-79.89684 8.71997,-79.89525 8.69531,-79.89223 8.66375,-79.87868 8.64053,-79.86165 8.6324,-79.84296 8.63489))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, LC, NT, DD, NE)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1050529 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031987-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhxpfr
title: Occurrence Download

description: A dataset containing 402551 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Colombia, Brazil, Peru, Bolivia (Plurinational State of), Paraguay, Venezuela (Bolivarian Republic of), Ecuador, Uruguay, Argentina, Chile, Guyana, Suriname, French Guiana, Guatemala, Belize, Honduras, El Salvador, Nicaragua, Costa Rica, Panama, Cuba, Jamaica, Mexico, Haiti, Dominican Republic, Puerto Rico)",
 "OccurrenceStatus is Present",
 "TaxonKey is Phyllostomidae"
 ]
}

 The dataset includes 402551 records from 645 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031991-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.enkwwy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hemigrammopetersius pulcher)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049444-250811113504898/datasets/export for details.
DOI: 10.15468/dl.qayngv
title: Occurrence Download

description: A dataset containing 209912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alchemilla filicaulis filicaulis, Alchemilla filicaulis filicaulis, Alchemilla filicaulis vestita, Alchemilla filicaulis vestita, Anthericum ramosum, Anthericum dorsetii, Anthericum gracile, Anthericum non-scriptum, Anthericum ramosum fallax, Endogona ramosa, Liliago ramosa, Ornithogalum ramosum, Pessularia ramosa, Phalangites ramosus, Phalangium ramosum, Arabis alpina, Arabidium alpinum, Arabis albida, Arabis alpina alpina, Arabis alpina albida, Arabis alpina declinata, Arabis alpina ruderalis, Arabis cuneifolia, Arabis cuneifolia, Arabis declinata, Arabis janitrix, Arabis lechenfeldiana, Arabis merinoi, Arabis sicula, Arabis sicula, Asperugo procumbens, Asperugo alba, Asperugo alba, Asperugo erecta, Asperugo vulgaris, Asperugo vulgaris, Barbarea vulgaris, Arabis barbarea, Barbarea abortiva, Barbarea altaica, Barbarea altaica, Barbarea arcuata, Barbarea arcuata, Barbarea arcuata, Barbarea arcuata brachycarpa, Barbarea arcuata pubescens, Barbarea arcuata pinnatisecta, Barbarea arcuata pubescens, Barbarea augustana, Barbarea barbarea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 209912 records from 1280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049394-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75kfbv
title: Occurrence Download

description: A dataset containing 569 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is WAMSI Node 3.2.1 - Diversity, abundance and habitat utilisation of sharks and rays, Ningaloo Marine Park, Western Australia (2007-2009) - longline data"
 ]
}

 The dataset includes 569 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024727-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vduvw3
title: Occurrence Download

description: A dataset containing 368 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is UNCW Aerial Survey 1998-1999"
 ]
}

 The dataset includes 368 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001495-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15274378
title: Analysis of Head Displacement during a Frontal Collision at a Speed of 20 km/h—Experimental Studies

description: Dane wykorzystane w artykule „Analysis of Head Displacement during a Frontal Collision at a Speed of 20 km/h—Experimental Studies” pochodzą z badań zrealizowanych w ramach projektu „Budowa przegubu szyjnego manekina antropometrycznego przeznaczonego do testów zderzeniowych przy niskiej prędkości”, finansowanego przez Narodowe Centrum Nauki (NCN) w ramach konkursu MINIATURA VI, numer projektu: 2022/06/X/ST8/01256.
DOI: 10.5281/zenodo.15274379
title: Analysis of Head Displacement during a Frontal Collision at a Speed of 20 km/h—Experimental Studies

description: Dane wykorzystane w artykule „Analysis of Head Displacement during a Frontal Collision at a Speed of 20 km/h—Experimental Studies” pochodzą z badań zrealizowanych w ramach projektu „Budowa przegubu szyjnego manekina antropometrycznego przeznaczonego do testów zderzeniowych przy niskiej prędkości”, finansowanego przez Narodowe Centrum Nauki (NCN) w ramach konkursu MINIATURA VI, numer projektu: 2022/06/X/ST8/01256.
DOI: 10.15468/dl.qtu39u
title: Occurrence Download

description: A dataset containing 908 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Attalea allenii",
 "HasCoordinate is true"
 ]
}

 The dataset includes 908 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007299-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.