cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.g5fh4d
title: Occurrence Download

description: A dataset containing 14357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Panax L."
 ]
}

 The dataset includes 14357 records from 187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009849-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qjfxnt
title: Occurrence Download

description: A dataset containing 1639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "Country is Australia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Adansonia gregorii F.Muell."
 ]
}

 The dataset includes 1639 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001639-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zq46cc
title: Occurrence Download

description: A dataset containing 1686 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "Country is Australia",
 "TaxonKey is Adansonia gregorii F.Muell."
 ]
}

 The dataset includes 1686 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001637-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3u274
title: Occurrence Download

description: A dataset containing 1993 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pleonotoma Miers"
 ]
}

 The dataset includes 1993 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013875-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23729/fd-1dd01607-8950-3504-b3e0-12bff36833c3
title: ADELE project stool sequences

description: Stool sequences are related to manuscripts:

Grönroos, M., Jumpponen, A., Roslund, M.I., Nurminen, N., Oikarinen, S., Parajuli, A., Laitinen, O.H., Cinek, O., Kramna, L., Rajaniemi, J., Hyöty, H., Puhakka, R., Sinkkonen, A., 2024. Using patterns of shared taxa to infer bacterial dispersal in human living environment in urban and rural areas. Appl Environ Microbiol e00903-24. https://doi.org/10.1128/aem.00903-24 

Parajuli, A., Hui, N., Puhakka, R., Oikarinen, S., Grönroos, M., Selonen, V.A.O., Siter, N., Kramna, L., Roslund, M.I., Vari, H.K., Nurminen, N., Honkanen, H., Hintikka, J., Sarkkinen, H., Romantschuk, M., Kauppi, M., Valve, R., Cinek, O., Laitinen, O.H., Rajaniemi, J., Hyöty, H., Sinkkonen, A., 2020. Yard vegetation is associated with gut microbiota composition. Science of The Total Environment 713, 136707. https://doi.org/10.1016/j.scitotenv.2020.136707
DOI: 10.15468/dl.7ujjkj
title: Occurrence Download

description: A dataset containing 380310 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Castoridae"
 ]
}

 The dataset includes 380310 records from 544 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034042-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17611382
title: Underwater images collected by a Kite surf in Le-Morne, Mauritius - 2018-03-24

description: This dataset was collected by a Kite surf in Le-Morne, Mauritius - 2018-03-24. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                GPX file from Garmin watch.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.5281/zenodo.17612910
title: Underwater images collected by a Kite surf in Le-Morne, Mauritius - 2018-03-24

description: This dataset was collected by a Kite surf in Le-Morne, Mauritius - 2018-03-24. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            
                
                                       
                
                
 GPS information: 

                GPX file from Garmin watch.
            
                    
                

                
            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.15468/dl.fjuw6k
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.9188 22.49913, -109.7688 22.49913, -109.7688 22.64913, -109.9188 22.64913, -109.9188 22.49913))"
 ]
}

 The dataset includes 108 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034060-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17613030
title: COAWST 1D and 3D PBL simulation namelists and observations
DOI: 10.5281/zenodo.17122603
title: Data for the manuscript titled: "The Impact of Space Weather on Earth's Atmospheric Chemistry and Climate: Is N$_2$O a Solution to the Faint Young Sun Paradox?"

description: This set of materials contains:

(1) Chemical profiles of some key molecules for each one of the scenarios showed in Figure 2 

(2) Annual temperature–latitude profile for the scenarios reported in Figure 3
DOI: 10.15468/dl.dmmhbx
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.7688 22.49913, -109.6188 22.49913, -109.6188 22.64913, -109.7688 22.64913, -109.7688 22.49913))"
 ]
}

 The dataset includes 51 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034061-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbnrtd
title: Occurrence Download

description: A dataset containing 362927 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is USMB Insecta"
 ]
}

 The dataset includes 362927 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034058-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17122602
title: Data for the manuscript titled: "The Impact of Space Weather on Earth's Atmospheric Chemistry and Climate: Is N$_2$O a Solution to the Faint Young Sun Paradox?"

description: This set of materials contains:

(1) Chemical profiles of some key molecules for each one of the scenarios showed in Figure 2 

(2) Annual temperature–latitude profile for the scenarios reported in Figure 3
DOI: 10.15468/dl.6wtcyh
title: Occurrence Download

description: A dataset containing 3538 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Temnothorax curvispinosus"
 ]
}

 The dataset includes 3538 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034062-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30133210
title: Simulation data for Fig.2 of "<i>Scaling Law for Sequence-Induced Demixing </i><i>of Compositionally Identical Copolymers</i>"

description: This repository contains the numerical data underlying the three panels of <b>Figure 2</b> in the manuscript:<br><i>“Scaling Law for Sequence-Induced Demixing </i><i>of Compositionally Identical Copolymers”</i> submitted to <i>Physical Review Letters</i>.Contents<b>fig2a.csv</b> – data for panel (a)<b>fig2b.csv</b> – data for panel (b)<b>fig2c.csv</b> – data for panel (c)File FormatAll files are provided in CSV format (comma-separated values) with <b>three columns</b>:<b>ChainLength</b> — polymer chain length used in the simulation<b>CriticalPoint</b> — estimated position of the critical point χ<sup>cr</sup><sub>AB</sub><b>CriticalPointError</b> — uncertainty of the critical point estimateNotesThese values are plotted directly in Fig. 2 of the manuscript.The scaling analysis discussed in the main text can be reproduced using these values; no additional data processing is required.
DOI: 10.6084/m9.figshare.30133210.v1
title: Simulation data for Fig.2 of "<i>Scaling Law for Sequence-Induced Demixing </i><i>of Compositionally Identical Copolymers</i>"

description: This repository contains the numerical data underlying the three panels of <b>Figure 2</b> in the manuscript:<br><i>“Scaling Law for Sequence-Induced Demixing </i><i>of Compositionally Identical Copolymers”</i> submitted to <i>Physical Review Letters</i>.Contents<b>fig2a.csv</b> – data for panel (a)<b>fig2b.csv</b> – data for panel (b)<b>fig2c.csv</b> – data for panel (c)File FormatAll files are provided in CSV format (comma-separated values) with <b>three columns</b>:<b>ChainLength</b> — polymer chain length used in the simulation<b>CriticalPoint</b> — estimated position of the critical point χ<sup>cr</sup><sub>AB</sub><b>CriticalPointError</b> — uncertainty of the critical point estimateNotesThese values are plotted directly in Fig. 2 of the manuscript.The scaling analysis discussed in the main text can be reproduced using these values; no additional data processing is required.
DOI: 10.6084/m9.figshare.30133210.v2
title: Simulation data for Fig.2 of "<i>Scaling Law for Sequence-Induced Demixing </i><i>of Compositionally Identical Copolymers</i>"

description: This repository contains the numerical data underlying the three panels of <b>Figure 2</b> in the manuscript:<br><i>“Scaling Law for Sequence-Induced Demixing </i><i>of Compositionally Identical Copolymers”</i> submitted to <i>Physical Review Letters</i>.Contents<b>fig2a.csv</b> – data for panel (a)<b>fig2b.csv</b> – data for panel (b)<b>fig2c.csv</b> – data for panel (c)File FormatAll files are provided in CSV format (comma-separated values) with <b>three columns</b>:<b>ChainLength</b> — polymer chain length used in the simulation<b>CriticalPoint</b> — estimated position of the critical point χ<sup>cr</sup><sub>AB</sub><b>CriticalPointError</b> — uncertainty of the critical point estimateNotesThese values are plotted directly in Fig. 2 of the manuscript.The scaling analysis discussed in the main text can be reproduced using these values; no additional data processing is required.
DOI: 10.15468/dl.cpd4z6
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.6188 22.49913, -109.4688 22.49913, -109.4688 22.64913, -109.6188 22.64913, -109.6188 22.49913))"
 ]
}

 The dataset includes 305 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034063-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfbudp
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.4688 22.49913, -109.3188 22.49913, -109.3188 22.64913, -109.4688 22.64913, -109.4688 22.49913))"
 ]
}

 The dataset includes 60 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034064-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wdd6h
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.3188 22.49913, -109.1688 22.49913, -109.1688 22.64913, -109.3188 22.64913, -109.3188 22.49913))"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034067-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqjykv
title: Occurrence Download

description: A dataset containing 2921 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (2a7e3080-28a9-11dd-97cd-b8a03c50a862, 0e2f2e28-7790-4c82-b8fb-6ef7b4c764e2, eac88d99-9f6c-4031-8fc4-8088f0e0dfe7)",
 "TaxonKey is one of (Dendropsophus molitor, Pristimantis bogotensis, Pristimantis elegans, Pristimantis nervicus, Hyloxalus subpunctatus, Espadarana andina)"
 ]
}

 The dataset includes 2921 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034068-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17612021
title: Modulation of functional traits and growth in Pericopsis elata seedlings in response to two contrasting light environments

description: The low natural regeneration of many exploited tree species in Central Africa highlights the need to more precisely define appropriate silvicultural practices. Understanding how seedlings adjust their functional traits and growth in full sunlight and under the shade of other trees is essential to optimise enrichment planting protocols. To address this topic on Pericopsis elata, an important light-demanding timber species exploited in Central Africa, 230 seedlings were transplanted in full sunlight or shaded environments (under Acacia auriculiformis). Twenty-three morpho-physiological and chemical traits were measured, alongside growth dynamics. Statistical analyses revealed high mortality (10.7%) in full sunlight during the first ten months after transplantation, with comparable mortality rates (about 13%) in both environments after three years in the field. However, logistic growth asymptotes were significantly higher in sunlight for diameter after 310 days and for height after 600 days of planting. Principal component analysis of functional traits revealed a conservative resource-use strategy in seedlings exposed to full sunlight, contrasting with a more acquisitive strategy under shade. Light environment explained over 58% of the variation in key traits such as specific leaf area, stomatal density, and maximum stomatal conductance. Stronger correlations among traits were observed under full sunlight, whereas these associations disappeared under shade, reflecting a shift along the resource acquisition-conservation continuum in response to light availability. These results provide one of the first experimental insights into how light influences growth and functional strategies in juvenile P. elata, indicating that shading with a canopy openness of about 20–65% promotes early establishment after transplanting seedlings, but a gradual thinning of shade trees is needed from the second year to enhance growth and survival.
DOI: 10.5281/zenodo.17612020
title: Modulation of functional traits and growth in Pericopsis elata seedlings in response to two contrasting light environments

description: The low natural regeneration of many exploited tree species in Central Africa highlights the need to more precisely define appropriate silvicultural practices. Understanding how seedlings adjust their functional traits and growth in full sunlight and under the shade of other trees is essential to optimise enrichment planting protocols. To address this topic on Pericopsis elata, an important light-demanding timber species exploited in Central Africa, 230 seedlings were transplanted in full sunlight or shaded environments (under Acacia auriculiformis). Twenty-three morpho-physiological and chemical traits were measured, alongside growth dynamics. Statistical analyses revealed high mortality (10.7%) in full sunlight during the first ten months after transplantation, with comparable mortality rates (about 13%) in both environments after three years in the field. However, logistic growth asymptotes were significantly higher in sunlight for diameter after 310 days and for height after 600 days of planting. Principal component analysis of functional traits revealed a conservative resource-use strategy in seedlings exposed to full sunlight, contrasting with a more acquisitive strategy under shade. Light environment explained over 58% of the variation in key traits such as specific leaf area, stomatal density, and maximum stomatal conductance. Stronger correlations among traits were observed under full sunlight, whereas these associations disappeared under shade, reflecting a shift along the resource acquisition-conservation continuum in response to light availability. These results provide one of the first experimental insights into how light influences growth and functional strategies in juvenile P. elata, indicating that shading with a canopy openness of about 20–65% promotes early establishment after transplanting seedlings, but a gradual thinning of shade trees is needed from the second year to enhance growth and survival.
DOI: 10.15468/dl.br5z9g
title: Occurrence Download

description: A dataset containing 3696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Parablechnum cordatum"
 ]
}

 The dataset includes 3696 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034069-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7s3gq
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.1688 22.49913, -109.0188 22.49913, -109.0188 22.64913, -109.1688 22.64913, -109.1688 22.49913))"
 ]
}

 The dataset includes 29 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034070-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.