cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/2vjhg8
title: Déterminations et observations du Forum "Le Monde des Insectes" (LMDI)-Données photographiques validées de la galerie du forum "Le Monde des Insectes"

description: Le Monde des insectes a pour but de promouvoir la diffusion et le partage en ligne des connaissances entomologiques, par l’intermédiaire de deux structures étroitement liées entre elles :
 un forum entomologique francophone ;
 une base de données, comportant des photos d’insectes et autres arthropodes (http://www.galerie-insecte.org/galerie/fichier.php).
La détermination à l'espèce, quand elle est possible, se fait par l'intermédiaire d'une discussion entre les membres du forum. Toute photo déposée dans la galerie donne lieu à l'ouverture d'un sujet dans le sous-forum de l'ordre d'insectes concerné. Chaque identification est donc le fruit d'une œuvre collective, elle résulte d'un consensus entre les membres, qu'ils soient débutants, amateurs, amateurs confirmés ou entomologistes expérimentés. En effet, le but premier du couple forum-galerie, qui existe depuis l'année 2000, n'est pas d'étiqueter des photos mais d'aider chacun à progresser vers plus de connaissance et de rigueur scientifique en matière d'entomologie.

L'ensemble des contenus du forum et de la galerie sont mis à disposition de tous sous une licence Creative Commons (BY-NC-ND).
DOI: 10.15468/cszfje
title: Suivi des oiseaux de passage : programme ACT - Programme ACT : Répartition Tourterelle des bois 2009 - 2013 Coordonnées GPS Lambert 93

description: Aire de reproduction de l'espèce Tourterelle des bois fondée sur la présence de mâles chanteurs au printemps (avril – juin), à partir de points d’écoutes répartis le long d’itinéraires échantillons. Environ 5 000 points ont été visités chaque année entre 2009 et 2013
DOI: 10.15468/dl.qpqf2q
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.5188 22.49913, -107.3688 22.49913, -107.3688 22.64913, -107.5188 22.64913, -107.5188 22.49913))"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041558-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/z4kp-2295
title: "DBEV-UAV: Dual Bird's-Eye View RGB\u2013Depth Dataset for UAV Detection and Tracking"

description: "Real-time UAV detection using onboard 360\u00b0 LiDAR sensors faces a critical computational bottleneck: processing raw point cloud data for drone detection requires high computational resources, resulting in insufficient frame rates for real-time tracking applications. We present DBEV-UAV, a dual-modality dataset that addresses this challenge by transforming 3D LiDAR point clouds into 2D bird's-eye view (BEV) depth maps, enabling efficient YOLO-based detection with significantly improved inference speeds.The dataset comprises two modalities: (1) simulated BEV depth maps generated from 360\u00b0 LiDAR point clouds in a controlled virtual environment, and (2) real-world RGB images of actual UAVs. The depth map modality enables real-time detection across the full 360\u00b0 field-of-view by converting computationally expensive 3D point cloud processing into efficient 2D image detection using YOLO. While depth map detection achieves high-speed inference, the RGB modality provides higher accuracy detection within the camera's limited field-of-view, creating a complementary dual-sensor detection system.This dual-modality approach solves a critical operational gap in UAV pursuit scenarios: when a target UAV maneuvers outside the RGB camera's field-of-view, the BEV depth map maintains continuous detection coverage across the full 360\u00b0 range until the pursuing UAV reorients itself. The trained YOLO model achieves real-time detection performance on depth maps while RGB detection ensures accuracy within overlapping coverage areas. DBEV-UAV provides researchers with a benchmark dataset for developing efficient multi-modal UAV detection algorithms that balance computational efficiency, spatial coverage, and detection accuracy for autonomous pursuit and tracking applications."
DOI: 10.15468/dl.fajdrw
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptosporium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 171 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041560-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/kpnpuw
title: Atlas des oiseaux nicheurs de France réalisés par carte IGN50 - Oiseaux nicheurs de France métropolitaine 1970-1975 - nidification possible

description: Atlas de répartition des oiseaux nicheurs mené par la Société Ornithologique de France sous la direction de Laurent Yeatman entre 1970 et 1975. Il s'agit de la première enquête nationale, parue à l'époque (1976) sans traitement informatique. Les données ont été informatisées au SPN par la suite. Ce jeu de données comprend les cas de nidification possible.
DOI: 10.21227/fa1e-kn78
title: "Successful aerial rotation emerges from feedforward neuromechanical coupling rather than feedback-driven compensation"

description: "Successful execution of complex aerial maneuvers in competitive surfing depends on precise neuromuscular coordination and stable neural control strategies. Traditional assessments of movement quality often overlook the underlying organization of muscle synergies and their temporal modulation. In this work, we compare muscle synergy structure, synergy activation timing, and neuromechanical coupling between successful and unsuccessful AIR 360 trials performed by elite surfers. Eleven national-level surfers executed the AIR 360 maneuver on a stabilized support platform while surface electromyography (sEMG), three-dimensional kinematics, and ground reaction forces (GRF) were collected. Muscle synergies were extracted using non-negative matrix factorization, synergy timing characteristics were quantified using the center of activation (CoA) and full width at half maximum (FWHM), and neuromechanical coupling was assessed using regularized canonical correlation analysis (rCCA).Successful trials exhibited fewer synergies with more concentrated muscle contributions, along with earlier and more stable activation phases. In contrast, unsuccessful trials showed additional synergies and irregular activation modulation, indicating increased control dimensionality and compensatory recruitment. Neuromechanical coupling further revealed a feedforward-dominant pattern in successful trials, with neural signals leading mechanical responses, whereas unsuccessful trials demonstrated synchronous or delayed coupling, reflecting greater reliance on feedback-based control. These findings suggest that successful AIR 360 performance depends on a low-dimensional, stable synergy organization and robust feedforward neuromechanical coupling, providing new insights into the neural mechanisms that support high-level aerial rotation in surfing."
DOI: 10.15468/dl.kvvwvg
title: Occurrence Download

description: A dataset containing 1430 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'CN'
 AND GBIF_WITHIN('POLYGON((47.00659 10.43045,181.60562 10.43045,181.60562 64.22071,47.00659 64.22071,47.00659 10.43045))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2874710 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2874710 OR CAST(occurrence.kingdomkey AS INTEGER) = 2874710 OR CAST(occurrence.phylumkey AS INTEGER) = 2874710 OR CAST(occurrence.classkey AS INTEGER) = 2874710 OR CAST(occurrence.orderkey AS INTEGER) = 2874710 OR CAST(occurrence.familykey AS INTEGER) = 2874710 OR CAST(occurrence.genuskey AS INTEGER) = 2874710 OR CAST(occurrence.specieskey AS INTEGER) = 2874710)
 AND (occurrence."year" &gt;= 1768 AND occurrence."year" &lt;= 2025)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 1430 records were derived from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041531-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/7znf24
title: Inventaire de la flore de Lot-et-Garonne 2013-2018 - Inventaire de la flore de Lot-et-Garonne 2015

description: Campagne 2015 du programme pluriannuel d'inventaire systématique de la flore vasculaire de Lot-et-Garonne mené par le CBN Sud-Atlantique
DOI: 10.15468/dl.5uhwtp
title: Occurrence Download

description: A dataset containing 1334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is PRT.13_1",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Anthyllis lemanniana, Genista tenera, Lotus argyrodes, Lotus glaucus floridus, Lotus loweanus, Lotus macranthus, Teline maderensis, Teline paivae, Vicia capreolata, Vicia costae, Vicia ferreirensis, Geranium maderense, Geranium palmatum, Geranium yeoi, Hymenophyllum maderense, Luzula seubertii, Bystropogon maderensis, Bystropogon punctatus, Lavandula pedunculata maderensis, Micromeria thymoides cacuminicolae, Micromeria thymoides thymoides, Sideritis candicans candicans, Sideritis candicans crassifolia, Sideritis candicans multiflora, Teucrium abutiloides, Teucrium betonicum, Teucrium francoi, Teucrium heterophyllum heterophyllum, Thymus micans, Autonoe madeirensis)"
 ]
}

 The dataset includes 1334 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041561-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/jvrxzt
title: Réseau Loup - Lynx ONCFS - Lynx 2013 présence Occasionnelle Mailles_10km_LAEA Réseau Loup-Lynx ONCFS

description: L’objectif de ce suivi est de cartographier l’aire de présence, celle-ci étant suivie annuellement grâce aux données récoltées tout au long de l’année. Les observateurs de terrain relèvent des indices de présence (proies sauvages, empreintes, analyses génétiques, observations visuelles,…) et les constats d’attaques.
DOI: 10.15468/dl.h3284d
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apioporthella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041563-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xtp3b
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.3688 22.49913, -107.2188 22.49913, -107.2188 22.64913, -107.3688 22.64913, -107.3688 22.49913))"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041562-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/2lqalz
title: Synthèse 10x10km des espèces de la Directive Oiseaux recensée par le Groupe Ornithologique des Deux-Sèvres (GODS) de 2013 à 2017

description: Le Groupe Ornithologique des Deux-Sèvres utilise 2 bases de données : - Nature79, partagée avec l'association Vienne Nature, dont le GODS assure la gestion des données oiseaux, - une base de données locale spécifique au GODS.Ces 2 bases de données ont été interrogées pour répondre à une commande de la DREAL Nouvelle-Aquitaine portant sur la synthèse de données par année pour les espèces de la Directive Oiseaux (annexes 1 et 2).Sur la période 2013-2017 et pour chaque année (n=5), une observation de chaque espèce a été sélectionnée par maille 10x10km.Afin d'éviter tout doublon lors de processus de mutualisations de données, le GODS utilise une nomenclature spécifique à chaque base de données source :- les données saisies dans Nature79 possèdent un identifiant de type "GODS_N79_xxx" (ex. : GODS_N79_527119, GODS_O79_60370...) où xxx correspond à l'identifiant réel Nature79- les données saisies dans la base de données locale possèdent un identifiant de type "GODS_O79_xxx" (ex. : GODS_O79_56283, GODS_O79_32111...)
DOI: 10.15468/dl.zzu75q
title: Occurrence Download

description: A dataset containing 798 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 PRINTF('%04d-%02d-%02d', "year", "month", "day") yearmonthday,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 7230558 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 7230558 OR CAST(occurrence.kingdomkey AS INTEGER) = 7230558 OR CAST(occurrence.phylumkey AS INTEGER) = 7230558 OR CAST(occurrence.classkey AS INTEGER) = 7230558 OR CAST(occurrence.orderkey AS INTEGER) = 7230558 OR CAST(occurrence.familykey AS INTEGER) = 7230558 OR CAST(occurrence.genuskey AS INTEGER) = 7230558 OR CAST(occurrence.specieskey AS INTEGER) = 7230558)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence."month" IS NOT NULL AND occurrence."day" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 PRINTF('%04d-%02d-%02d', "year", "month", "day")

 The dataset's 798 records were derived from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041534-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/bgiqjt
title: Otters: Northern Ireland Otter Survey Database
DOI: 10.15468/dl.cs67zn
title: Occurrence Download

description: A dataset containing 1148 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección Hidrobiológica del Chocó"
 ]
}

 The dataset includes 1148 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041564-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f42bjj
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.2188 22.49913, -107.0688 22.49913, -107.0688 22.64913, -107.2188 22.64913, -107.2188 22.49913))"
 ]
}

 The dataset includes 41 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041565-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/1disco
title: Données d'amphibiens et reptiles

description: L'expertise "amphibiens et reptiles" GPSO s’intéresse : 
- aux amphibiens et à leurs habitats : sites de reproduction (mares, étangs…), d’hivernage et à leurs axes de migration… ;
- aux reptiles, notamment aux espèces rares comme la Cistude d’Europe (tortue aquatique) ou le Lézard ocellé. Leurs habitats, leurs sites de reproduction et d’hivernage sont également étudiés. Sur certains sites, des plaques en tôle ondulée ont été disposées sur le sol pour faciliter les inventaires. 

Ce jeu restitue les données de présence collectées précisément géo-référencées (points) durant la phase d'étude. Des données bibliographiques complémentaires ont été associées à ce jeu de données.
La majorité des observations concerne les années 2010 et 2011.
DOI: 10.15468/dl.2a64mz
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Valseutypella",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041567-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/osz2i0
title: Suivi des oiseaux de passage : programme ACT - Programme ACT : Répartition Alouette des champs 1998 - 2002 Coordonnées GPS Lambert 93

description: Aire de reproduction de l'espèce Alouette des champs fondée sur la présence de mâles chanteurs au printemps (avril – juin), à partir de points d’écoutes répartis le long d’itinéraires échantillons. Environ 5 000 points ont été visités chaque année entre 1998 et 2002
DOI: 10.15468/dl.knha4x
title: Occurrence Download

description: A dataset containing 7493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ctenosaura pectinata (Wiegmann, 1834)"
 ]
}

 The dataset includes 7493 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008613-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edhn2s
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Bembidion poculare Bates, 1884",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 47 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008614-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15485/2568332
title: Time-lapse imagery in 2017 and 2018 at the Lower Montane site in the East River Watershed, Colorado

description: Time-lapse imagery was collected using an automated RGB camera mounted on a pole at the base of the northeast-facing hillslope at the Lower Montane site in the East River Watershed, Colorado. The imagery was intended to support a better understanding of plant dynamics and their controls during the growing season. The dataset includes RGB images archived in four zip files (containing imagery in JPEG format), corresponding to photos taken from the hillslope and the adjacent floodplain during 2017 and 2018. A fifth zip file contains a few AVI movies that compare imagery between the two years. The AVI files can be read with most media players applications. The archive contains a total of five *.zip files and three csv metadata files (flmd.csv, dd.csv, and locations.csv).This work was supported by the Watershed Function Science Focus Area at Lawrence Berkeley National Laboratory funded by the US Department of Energy, Office of Science, Biological and Environmental Research under Contract No. DE-AC02-05CH11231.
DOI: 10.5281/zenodo.16943829
title: Supporting data for "Physics or Knob-Tuning? Tropical Anvil Peak is Captured by GCMs"

description: This data set is prepared to support the manuscript entitled "Physics or Knob-Tuning? Tropical Anvil Peak is Captured by GCMs" by Zheng et al., which is under review for the Geophysical Research Letters. The data set includes jupyter analysis code and the postprocessed data simulated in the experiments presented in the manuscript.
DOI: 10.5281/zenodo.16943830
title: Supporting data for "Physics or Knob-Tuning? Tropical Anvil Peak is Captured by GCMs"

description: This data set is prepared to support the manuscript entitled "Physics or Knob-Tuning? Tropical Anvil Peak is Captured by GCMs" by Zheng et al., which is under review for the Geophysical Research Letters. The data set includes jupyter analysis code and the postprocessed data simulated in the experiments presented in the manuscript.
DOI: 10.15468/dl.cq9ekq
title: Occurrence Download

description: A dataset containing 27045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Suthora webbiana",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27045 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043137-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.