cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/jmksaw/wh9f0s
title: ensemble_delta_ref_mono_oracle_Group.Auto+Neigh.kDistance_l2_k50_div+Sink N21_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/bpceid
title: ensemble_delta_ref_mono_oracle_Group.Auto+Neigh.kDistance_l2_k50_div+Sink N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/y3fxvf
title: assignment_Distance.Boundary_max+Sink N09_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/jshsyc
title: ensemble_quality_Group.Auto+Neigh.kDistance_l2_k50_div+Sink N27_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/s2ywmq
title: delta_self_ensemble_GROUND_TRUTH Sink N27_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/naexpg
title: delta_self_ensemble_TSUSC N21_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/9ogw6p
title: ensemble_quality_Group.Auto+Neigh.kDistance_l2_k50_div+RR N03_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/dta646
title: ensemble_delta_ref_mono_oracle_GROUND_TRUTH RR N33_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/kb5igi
title: ensemble_delta_ref_mono_oracle_GROUND_TRUTH Sink N27_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/tk8ojx
title: ensemble_quality_TSUSC N03_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/22zluq
title: sb_clustering_dt_test_set_clean_delta_ref_summary.csv
DOI: 10.13130/rd_unimi/jmksaw/ldom7d
title: ensemble_delta_ref_mono_oracle_Distance.Boundary_max+RR N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/2fhriv
title: m2_clustering_dt_test_set_clean_delta_ref.tab
DOI: 10.13130/rd_unimi/jmksaw/ydj3ud
title: m2_clustering_dt_test_set_clean_q2_ground_truth_sink.png
DOI: 10.13130/rd_unimi/jmksaw/v8ulog
title: m2_clustering_dt_ground_truth.png
DOI: 10.13130/rd_unimi/jmksaw/gvbjfj
title: m2_clustering_dt_test_set_clean_delta_ref_stat_transposed_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/kvih8r
title: m2_clustering_dt_test_set_clean_delta_ref_summary.csv
DOI: 10.13130/rd_unimi/jmksaw/pytw8v
title: sb_clustering_dt_ground_truth.png
DOI: 10.13130/rd_unimi/jmksaw/84fdxg
title: sb_clustering_dt_test_set_clean_q0_mono.png
DOI: 10.13130/rd_unimi/jmksaw/ra679h
title: sb_clustering_dt_test_set_clean_trad_metric_stat_transposed.tab
DOI: 10.13130/rd_unimi/jmksaw/2tygyu
title: sb_clustering_dt_ground_truth_TRY.png
DOI: 10.5281/zenodo.17634010
title: Underwater images collected by a Paddle in La-Preneuse, Mauritius - 2018-02-18

description: This dataset was collected by a Paddle in La-Preneuse, Mauritius - 2018-02-18. 

            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.17635525
title: Underwater images collected by a Paddle in La-Preneuse, Mauritius - 2018-02-18

description: This dataset was collected by a Paddle in La-Preneuse, Mauritius - 2018-02-18. 

            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: 10.13130/rd_unimi/jmksaw/m2fauo
title: m2_clustering_dt_test_set_clean_trad_metric_stat_transposed.tab
DOI: 10.13130/rd_unimi/jmksaw/6z6xmy
title: sb_clustering_dt_test_set_clean_q2_ground_truth_rr.png
DOI: 10.13130/rd_unimi/jmksaw/f29egx
title: sb_clustering_dt_test_set_clean_trad_metric_stat_transposed_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/2vwryi
title: m2_clustering_dt_test_set_clean_trad_metric_stat_transposed_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/zvt9jj
title: sb_clustering_dt_test_set_clean_delta_ref_stat_transposed.tab
DOI: 10.13130/rd_unimi/jmksaw/cr3ac1
title: m2_clustering_dt_test_set_clean_trad_metric_stat.tab
DOI: 10.13130/rd_unimi/jmksaw/kdubt3
title: sb_clustering_dt_test_set_clean_delta_ref_stat.tab
DOI: 10.13130/rd_unimi/jmksaw/gmlwjz
title: m2_clustering_dt_test_set_clean_q2_ground_truth_rr.png
DOI: 10.13130/rd_unimi/jmksaw/wb0hq2
title: m2_clustering_dt_test_set_clean_delta_ref_stat_transposed.tab
DOI: 10.13130/rd_unimi/jmksaw/9fsscs
title: sb_clustering_dt_test_set_clean_trad_metric_stat.tab
DOI: 10.13130/rd_unimi/jmksaw/3hdo7v
title: sb_clustering_dt_test_set_clean_delta_ref_stat_transposed_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/6jgow2
title: m2_clustering_dt_test_set_clean_q0_mono.png
DOI: 10.13130/rd_unimi/jmksaw/nhgnmc
title: sb_clustering_dt_test_set_clean_q1_tsusc.png
DOI: 10.13130/rd_unimi/jmksaw/j0jaru
title: m2_clustering_dt_test_set_clean_delta_ref_stat.tab
DOI: 10.13130/rd_unimi/jmksaw/wkio6v
title: m2_clustering_dt_test_set_clean_q1_tsusc.png
DOI: 10.13130/rd_unimi/jmksaw/j0icob
title: sb_clustering_dt_test_set_clean_delta_ref.tab
DOI: 10.13130/rd_unimi/jmksaw/x2zsaw
title: sb_clustering_dt_test_set_clean_q2_ground_truth_sink.png
DOI: 10.13130/rd_unimi/jmksaw/xileqd
title: for_paper_delta_ref_sb_integral_epsfrom06to11.tab
DOI: 10.13130/rd_unimi/jmksaw/onucnf
title: f4.2-m2-targeted-clustering-dt_post-delta-ref-more.jsonc
DOI: 10.13130/rd_unimi/jmksaw/wymbqa
title: for_paper_delta_ref_sb_plot_all_non_individual.tab
DOI: 10.15468/dl.dr95d4
title: Occurrence Download

description: A dataset containing 45773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 45773 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040036-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/jmksaw/5e5swj
title: f4.2-sb-targeted-clustering-dt.jsonc
DOI: 10.13130/rd_unimi/jmksaw/s66k2x
title: f4.2-sb-targeted-clustering-dt_post-delta-ref-more.jsonc
DOI: 10.13130/rd_unimi/jmksaw/zgaznr
title: f4.1-sb-targeted-boundary-dt_post-delta-ref-more.jsonc
DOI: 10.13130/rd_unimi/jmksaw/kfpmqk
title: for_paper_delta_ref_sb_integral_individual_epsfrom06to11.tab
DOI: 10.13130/rd_unimi/jmksaw/5uengu
title: f4.2-m2-targeted-clustering-dt.jsonc
DOI: 10.13130/rd_unimi/jmksaw/wjhx55
title: f4.1-m2-targeted-boundary-dt_post-delta-ref-more.jsonc
DOI: 10.13130/rd_unimi/jmksaw/zba3uf
title: execute.sh
DOI: 10.13130/rd_unimi/jmksaw/qnvmwb
title: f4.1-sb-targeted-boundary-dt.jsonc
DOI: 10.13130/rd_unimi/jmksaw/jmvrmp
title: map.jsonc
DOI: 10.15468/dl.yze7u6
title: Occurrence Download

description: A dataset containing 658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material sample)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mirounga angustirostris"
 ]
}

 The dataset includes 658 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040037-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/jmksaw/hgppld
title: f4.1-m2-targeted-boundary-dt.jsonc
DOI: 10.13130/rd_unimi/jmksaw/3ejtmy
title: for_paper_delta_ref_sb_integral_individual_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/rh6kkw
title: for_paper_delta_ref_sb_plot_individual.tab
DOI: 10.13130/rd_unimi/jmksaw/xg1ac9
title: f4.1-m2-targeted-boundary-dt.jsonc
DOI: 10.13130/rd_unimi/jmksaw/uq2xhi
title: for_paper_delta_ref_sb_integral_epsfrom00to05.tab
DOI: 10.13130/rd_unimi/jmksaw/5e3s29
title: f4.2-m2-targeted-clustering-dt.jsonc
DOI: 10.13130/rd_unimi/jmksaw/b5g8ze
title: f4.1-sb-targeted-boundary-dt.jsonc
DOI: 10.13130/rd_unimi/jmksaw/dnlgog
title: for_paper_delta_ref_sb_integral_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/p7u1dv
title: for_paper_delta_ref_sb_integral_individual_epsfrom00to05.tab
DOI: 10.13130/rd_unimi/jmksaw/9zswe3
title: f4.2-sb-targeted-clustering-dt.jsonc
DOI: 10.13130/rd_unimi/jmksaw/upbcga
title: m2_boundary_dt_ensemble_quality_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/ihwzmj
title: m2_targeted_boundary_dt.png
DOI: 10.13130/rd_unimi/jmksaw/lmaehn
title: sb_boundary_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/yksak9
title: m2_boundary_dt_test_set_clean_delta_ref_stat_transposed_epsfrom06to11_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/e1opri
title: sb_boundary_dt_test_set_clean_delta_ref.tab
DOI: 10.13130/rd_unimi/jmksaw/iyujbv
title: m2_boundary_dt_test_set_clean_delta_ref_stat_epsfrom00to05.tab
DOI: 10.13130/rd_unimi/jmksaw/5tziln
title: m2_boundary_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/qkktkn
title: m2_boundary_dt_test_set_clean_delta_ref.tab
DOI: 10.13130/rd_unimi/jmksaw/ri8jmp
title: sb_boundary_dt_test_set_clean_delta_ref_summary.csv
DOI: 10.13130/rd_unimi/jmksaw/ivotqi
title: sb_boundary_dt_test_set_clean_delta_ref_stat_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/k03kyy
title: sb_boundary_dt_test_set_clean_delta_ref_stat_transposed_epsfrom06to11_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/lkks6a
title: sb_boundary_dt_test_set_clean_delta_ref_stat_epsfrom00to05.tab
DOI: 10.13130/rd_unimi/jmksaw/anjjlg
title: sb_boundary_dt_test_set_clean_delta_ref_stat_transposed_epsfrom06to11.tab
DOI: 10.13130/rd_unimi/jmksaw/aumx3k
title: sb_boundary_dt_test_set_clean_delta_ref_stat_transposed_compact_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/qrpfyt
title: sb_boundary_dt_ensemble_quality_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/0daw5z
title: m2_boundary_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to05.tab
DOI: 10.13130/rd_unimi/jmksaw/1wcv5q
title: sb_boundary_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to11_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/8mttlv
title: m2_boundary_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to11_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/hx50ap
title: m2_boundary_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to05_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/banfua
title: sb_boundary_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to05_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/zsco9w
title: sb_boundary_dt_test_set_clean_delta_ref_stat_epsfrom06to11.tab
DOI: 10.13130/rd_unimi/jmksaw/yfovc4
title: sb_boundary_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to05.tab
DOI: 10.13130/rd_unimi/jmksaw/frhaiq
title: m2_boundary_dt_test_set_clean_delta_ref_stat_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/so5hoe
title: m2_boundary_dt_test_set_clean_delta_ref_stat_epsfrom06to11.tab
DOI: 10.13130/rd_unimi/jmksaw/9jauda
title: m2_boundary_dt_test_set_clean_delta_ref_stat_transposed_compact_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/3xe6jq
title: m2_boundary_dt_test_set_clean_delta_ref_summary.csv
DOI: 10.13130/rd_unimi/jmksaw/9keqvp
title: m2_boundary_dt_test_set_clean_delta_ref_stat_transposed_epsfrom06to11.tab
DOI: 10.13130/rd_unimi/jmksaw/teamle
title: m2_clustering_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/5fnbhn
title: m2_clustering_dt_test_set_clean_delta_ref_stat_transposed_compact_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/ghrgjh
title: m2_clustering_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to05_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/1xscb9
title: sb_clustering_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/zmgvf0
title: sb_clustering_dt_test_set_clean_delta_ref_stat_epsfrom06to11.tab
DOI: 10.13130/rd_unimi/jmksaw/nzr2z5
title: sb_clustering_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to05_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/g4itxs
title: sb_clustering_dt_ensemble_quality_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/vu9fky
title: sb_clustering_dt_test_set_clean_delta_ref_stat_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/f7vhsz
title: sb_clustering_dt_test_set_clean_delta_ref_summary.csv
DOI: 10.13130/rd_unimi/jmksaw/hy0vnw
title: m2_clustering_dt_test_set_clean_delta_ref_stat_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/ztrzs3
title: sb_clustering_dt_test_set_clean_delta_ref_stat_transposed_epsfrom06to11.tab
DOI: 10.13130/rd_unimi/jmksaw/cr3qxi
title: sb_clustering_dt_test_set_clean_delta_ref_stat_transposed_compact_epsfrom00to11.tab
DOI: 10.13130/rd_unimi/jmksaw/kqplex
title: m2_clustering_dt_ensemble_quality_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/xuvgnx
title: m2_clustering_dt_test_set_clean_delta_ref_stat_epsfrom00to05.tab
DOI: 10.13130/rd_unimi/jmksaw/cvcn6q
title: sb_clustering_dt_test_set_clean_delta_ref_stat_epsfrom00to05.tab
DOI: 10.13130/rd_unimi/jmksaw/ygrh89
title: sb_clustering_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to11_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/uxespi
title: m2_clustering_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to05.tab
DOI: 10.13130/rd_unimi/jmksaw/xx7ets
title: sb_clustering_dt_test_set_clean_delta_ref.tab
DOI: 10.13130/rd_unimi/jmksaw/nd2s5o
title: m2_clustering_dt_test_set_clean_delta_ref_stat_transposed_epsfrom06to11.tab
DOI: 10.13130/rd_unimi/jmksaw/uxr99t
title: m2_clustering_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to11_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/aquclr
title: m2_clustering_dt_test_set_clean_delta_ref_summary.csv
DOI: 10.13130/rd_unimi/jmksaw/gfmurk
title: m2_clustering_dt_test_set_clean_delta_ref_stat_transposed_epsfrom06to11_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/zo14pk
title: sb_clustering_dt_test_set_clean_delta_ref_stat_transposed_epsfrom06to11_compact.tab
DOI: 10.13130/rd_unimi/jmksaw/kiwbhi
title: sb_clustering_dt_test_set_clean_delta_ref_stat_transposed_epsfrom00to05.tab
DOI: 10.13130/rd_unimi/jmksaw/tznaip
title: m2_clustering_dt_test_set_clean_delta_ref.tab
DOI: 10.13130/rd_unimi/jmksaw/8qosmg
title: m2_clustering_dt_test_set_clean_delta_ref_stat_epsfrom06to11.tab
DOI: 10.13130/rd_unimi/jmksaw/hnfctk
title: ensemble_delta_ref_mono_vanilla_Dist.Bound+Group+Neigh.kDist+Max+Sink N33_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/cauzcr
title: assignment_Dist.Bound+Group+Neigh.kDist+Max+Sink N27_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/emt90f
title: ensemble_delta_ref_mono_vanilla_Dist.Bound+Dist.Clust+Group+Neigh.kDist+Count+Sink N27_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/mkaphl
title: ensemble_quality_Dist.Bound+Dist.Clust+Count+RR N21_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/ntb4zo
title: delta_self_ensemble_Dist.Bound+Dist.Clust+Group+Neigh.kDist+Count+RR N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/q9ldem
title: delta_self_ensemble_Dist.Bound+Dist.Clust+Group+Neigh.kDist+Count+Sink N03_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/qztwyg
title: ensemble_delta_ref_mono_oracle_Dist.Bound+Dist.Clust+Max+Sink N03_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/2sgb3x
title: ensemble_delta_ref_mono_vanilla_Dist.Bound+Dist.Clust+Group+Neigh.kDist+Count+RR N15_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/2j0any
title: ensemble_quality_Dist.Bound+Dist.Clust+Group+Neigh.kDist+Count+RR N21_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/ip11e1
title: ensemble_delta_ref_mono_vanilla_Dist.Bound+Group+Neigh.kDist+Count+RR N15_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/aktkbr
title: ensemble_delta_ref_mono_oracle_Dist.Bound+Dist.Clust+Max+Sink N21_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/gqfm3k
title: delta_self_ensemble_Dist.Clust+Group+Neigh.kDist+Count+RR N15_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/oeunvu
title: ensemble_quality_Dist.Bound+Group+Neigh.kDist+Count+RR N27_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/eyf2iq
title: assignment_Dist.Bound+Group+Neigh.kDist+Max+Sink N09_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/vo9utb
title: ensemble_delta_ref_mono_vanilla_Dist.Bound+Dist.Clust+Group+Neigh.kDist+Max+RR N21_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/d26bgw
title: ensemble_delta_ref_mono_vanilla_Dist.Clust+Group+Neigh.kDist+Count+Sink N33_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/0h2ymx
title: ensemble_delta_ref_mono_vanilla_Dist.Bound+Group+Neigh.kDist+Max+RR N33_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/fiyrhf
title: assignment_Dist.Bound+Dist.Clust+Count+RR N33_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/qcgypk
title: ensemble_quality_Dist.Bound+Group+Neigh.kDist+Max+RR N21_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/w8hdw5
title: ensemble_delta_ref_mono_oracle_Dist.Bound+Group+Neigh.kDist+Max+RR N09_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/ftxw16
title: ensemble_quality_Dist.Bound+Group+Neigh.kDist+Count+RR N09_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/6dupcq
title: assignment_Dist.Bound+Dist.Clust+Group+Neigh.kDist+Max+RR N33_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/wfqjpb
title: delta_self_ensemble_Dist.Bound+Dist.Clust+Count+RR N21_training_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/palsdp
title: ensemble_delta_ref_mono_vanilla_Dist.Clust+Group+Neigh.kDist+Max+RR N03_test_set_clean.tab
DOI: 10.13130/rd_unimi/jmksaw/uffdca
title: delta_self_ensemble_Dist.Bound+Group+Neigh.kDist+Count+Sink N33_test_set_clean.tab
DOI: 10.15468/dl.5q4rza
title: Occurrence Download

description: A dataset containing 112631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carduus nutans",
 "HasCoordinate is true"
 ]
}

 The dataset includes 112631 records from 1212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040010-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ec3qam
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tripleurospermum inodorum",
 "Country is Korea (Democratic People’s Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040220-250811113504898/datasets/export for details.
DOI: 10.15468/dl.bz2c3e
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tripleurospermum inodorum",
 "Country is Kyrgyzstan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040222-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hq2hnd
title: Occurrence Download

description: A dataset containing 2292196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "GadmGid is ESP.12_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2292196 records from 433 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040200-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.