cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30625484.v1
title: Fresh weight of western honey bees emerged from larvae fed different diets.

description: Key to variable names & types:colony -- colony ID (categorical)plate -- test plate ID (categorical)number -- larva ID (categorical)treatment -- diet type (categorical)fresh -- fresh weight (g) (numerical)
DOI: 10.15468/dl.4xeh54
title: Occurrence Download

description: A dataset containing 3983 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 {
 "or" : [
 "Year is 2017",
 "Year is 2018",
 "Year is 2019",
 "Year is 2020",
 "Year is 2021",
 "Year is 2022",
 "Year is 2023",
 "Year is 2024",
 "Year is 2016",
 "Year is 2015"
 ]
 },
 "BasisOfRecord is one of (Human Observation, Material sample, Machine Observation)",
 "StateProvince is one of (Cundinamarca, Bogotá, D.C., Boyacá, Distrito Capital de Bogotá, Boyaca)",
 "TaxonKey is one of (Cistothorus apolinari [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 3983 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034226-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2wudh
title: Occurrence Download

description: A dataset containing 41674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((85 28, 87 28, 87 30, 85 30, 85 28))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41674 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034227-251025141854904/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/13736976
title: List Benchmarks Kaggle
DOI: 10.15468/dl.d75ttr
title: Occurrence Download

description: A dataset containing 6544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((87 28, 89 28, 89 30, 87 30, 87 28))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6544 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034229-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17613054
title: Underwater images collected by a Kite surf in Riambel, Mauritius - 2018-04-01

description: This dataset was collected by a Kite surf in Riambel, Mauritius - 2018-04-01. 

            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.17613307
title: Underwater images collected by a Kite surf in Riambel, Mauritius - 2018-04-01

description: This dataset was collected by a Kite surf in Riambel, Mauritius - 2018-04-01. 

            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: 10.6084/m9.figshare.29955021
title: Mitigating Process Distortion While Preserving Accounting Relations in Hierarchical Time Series

description: Process distortion, that is, the corruption of time series dynamics, can be present in hierarchical time series subject to aggregation. The presence of seasonal patterns in seasonally adjusted data, known as residual seasonality (RS), is an example of process distortion. In the case of U.S. Gross Domestic Product (GDP) and its sub-aggregates, it is important that there be no RS at monthly or quarterly frequencies, while preserving aggregation relations between the various sub-components. A phenomenon of indirect seasonal adjustment is that both temporal (from monthly to quarterly frequency) and hierarchical (from specific to broad variables) aggregates of RS-free time series can themselves exhibit RS. A topological analysis of the self-intersecting lattice structure of accounting relations is developed, decomposing the lattice into ordered subsets (called terraces) that can be sequentially analyzed. Second, a reconciliation method is proposed that minimally modifies each monthly time series such that its higher aggregates—as well as its quarterly aggregates—have no process distortion. This is accomplished by minimizing a relative difference criterion subject to nonlinear constraints furnished by diagnostic measures of process distortion, proceeding from terrace to terrace of the lattice in a top-down procedure. The method is successfully applied to the Personal Consumption Expenditures sub-lattice of GDP, removing RS while maintaining all the accounting relations.
DOI: 10.6084/m9.figshare.29955021.v1
title: Mitigating Process Distortion While Preserving Accounting Relations in Hierarchical Time Series

description: Process distortion, that is, the corruption of time series dynamics, can be present in hierarchical time series subject to aggregation. The presence of seasonal patterns in seasonally adjusted data, known as residual seasonality (RS), is an example of process distortion. In the case of U.S. Gross Domestic Product (GDP) and its sub-aggregates, it is important that there be no RS at monthly or quarterly frequencies, while preserving aggregation relations between the various sub-components. A phenomenon of indirect seasonal adjustment is that both temporal (from monthly to quarterly frequency) and hierarchical (from specific to broad variables) aggregates of RS-free time series can themselves exhibit RS. A topological analysis of the self-intersecting lattice structure of accounting relations is developed, decomposing the lattice into ordered subsets (called terraces) that can be sequentially analyzed. Second, a reconciliation method is proposed that minimally modifies each monthly time series such that its higher aggregates—as well as its quarterly aggregates—have no process distortion. This is accomplished by minimizing a relative difference criterion subject to nonlinear constraints furnished by diagnostic measures of process distortion, proceeding from terrace to terrace of the lattice in a top-down procedure. The method is successfully applied to the Personal Consumption Expenditures sub-lattice of GDP, removing RS while maintaining all the accounting relations.
DOI: 10.15468/dl.qnuw7d
title: Occurrence Download

description: A dataset containing 3851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((89 28, 91 28, 91 30, 89 30, 89 28))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3851 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034230-251025141854904/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.30625499
title: Spore viability in tubes

description: Viability of myrtle rust urediniospores in tubes placed in hives for nine days.Key to variable names & types:round -- sampling round ID (categorical)day -- sample age (days) (integer)site -- site ID (categorical)germinated -- number of spores which germinated (integer)non_germinated -- number of spores which did not germinate (integer)
DOI: 10.6084/m9.figshare.30625499.v1
title: Spore viability in tubes

description: Viability of myrtle rust urediniospores in tubes placed in hives for nine days.Key to variable names & types:round -- sampling round ID (categorical)day -- sample age (days) (integer)site -- site ID (categorical)germinated -- number of spores which germinated (integer)non_germinated -- number of spores which did not germinate (integer)
DOI: 10.5281/zenodo.17569000
title: Performance under Pressure: How Errorless Learning, Contextual Interference, and Differential Learning Impact Performance and Motivation
DOI: 10.5281/zenodo.17569001
title: Performance under Pressure: How Errorless Learning, Contextual Interference, and Differential Learning Impact Performance and Motivation
DOI: 10.15468/dl.ggy9nm
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Exodeconus prostratus"
 ]
}

 The dataset includes 215 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034231-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.352gtc
title: Occurrence Download

description: A dataset containing 766 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nicotiana paniculata"
 ]
}

 The dataset includes 766 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034232-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5wyy3
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 {
 "or" : [
 "Year is 2017",
 "Year is 2018",
 "Year is 2019",
 "Year is 2020",
 "Year is 2021",
 "Year is 2022",
 "Year is 2023",
 "Year is 2024",
 "Year is 2016",
 "Year is 2015"
 ]
 },
 "BasisOfRecord is one of (Human Observation, Material sample, Machine Observation)",
 "StateProvince is one of (Cundinamarca, Bogotá, D.C., Boyacá, Distrito Capital de Bogotá, Boyaca)",
 "TaxonKey is one of (Neostrengeria macropa [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034233-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ps4ne
title: Occurrence Download

description: A dataset containing 65650 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.9188 22.79913, -109.7688 22.79913, -109.7688 22.94913, -109.9188 22.94913, -109.9188 22.79913))"
 ]
}

 The dataset includes 65650 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034218-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t829d
title: Occurrence Download

description: A dataset containing 835 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nolana humifusa"
 ]
}

 The dataset includes 835 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034234-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcmzb7
title: Occurrence Download

description: A dataset containing 10152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((91 28, 93 28, 93 30, 91 30, 91 28))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10152 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034235-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8q6f5j
title: Occurrence Download

description: A dataset containing 646 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.7688 22.79913, -109.6188 22.79913, -109.6188 22.94913, -109.7688 22.94913, -109.7688 22.79913))"
 ]
}

 The dataset includes 646 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034236-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhum3w
title: Occurrence Download

description: A dataset containing 17118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((93 28, 95 28, 95 30, 93 30, 93 28))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17118 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034237-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qvyj6
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioscorea moyobambensis"
 ]
}

 The dataset includes 17 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034238-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkz5qu
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.6188 22.79913, -109.4688 22.79913, -109.4688 22.94913, -109.6188 22.94913, -109.6188 22.79913))"
 ]
}

 The dataset includes 263 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034239-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fre7xm
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clinopodium pulchellum"
 ]
}

 The dataset includes 108 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034240-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7d4c6x
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.4688 22.79913, -109.3188 22.79913, -109.3188 22.94913, -109.4688 22.94913, -109.4688 22.79913))"
 ]
}

 The dataset includes 86 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034242-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbx6dg
title: Occurrence Download

description: A dataset containing 350839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos, Arthurdendyus triangulatus, Cabomba caroliniana, Callosciurus finlaysonii, Cherax destructor, Corvus splendens, Crassula helmsii, Elodea densa, Eriocheir sinensis, Erythranthe guttata, Faxonius immunis, Faxonius juvenilis, Faxonius rusticus, Faxonius virilis, Gambusia affinis, Heracleum mantegazzianum, Heracleum persicum, Heracleum pubescens, Houttuynia cordata, , Impatiens glandulifera, Koenigia polystachya, Lagarosiphon major, Lepomis gibbosus, Limnoperna fortunei, Ludwigia grandiflora, Ludwigia peploides, Lysichiton americanus, Morone americana, Muntiacus reevesi, Myriophyllum aquaticum, Myriophyllum heterophyllum, Pacifastacus leniusculus, Petasites japonicus, Pontederia cordata, Procambarus acutus, Procambarus clarkii, Procambarus virginalis, Pseudorasbora parva, Pycnonotus cafer, Saururus cernuus, Sciurus carolinensis, Sciurus niger, Solenopsis invicta, Solenopsis richteri, Threskiornis aethiopicus, Vespa velutina, Zizania latifolia)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 350839 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034213-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gudcvb
title: Occurrence Download

description: A dataset containing 483 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calceolaria nivalis"
 ]
}

 The dataset includes 483 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034243-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xj82ah
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.3188 22.79913, -109.1688 22.79913, -109.1688 22.94913, -109.3188 22.94913, -109.3188 22.79913))"
 ]
}

 The dataset includes 59 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034244-251025141854904/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/13736979
title: Integration_of_ATAC
DOI: 10.6084/m9.figshare.30625520
title: Spore viability in washes

description: Viability of myrtle rust urediniospores on caged western honey bees placed in hives for nine days.Key to variable names & types:round -- sampling round ID (categorical)day -- sample age (days) (integer)site -- site ID (categorical)germinated -- number of spores which germinated (integer)non_germinated -- number of spores which did not germinate (integer)
DOI: 10.6084/m9.figshare.30625520.v1
title: Spore viability in washes

description: Viability of myrtle rust urediniospores on caged western honey bees placed in hives for nine days.Key to variable names & types:round -- sampling round ID (categorical)day -- sample age (days) (integer)site -- site ID (categorical)germinated -- number of spores which germinated (integer)non_germinated -- number of spores which did not germinate (integer)
DOI: 10.15468/dl.2efj4e
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.1688 22.79913, -109.0188 22.79913, -109.0188 22.94913, -109.1688 22.94913, -109.1688 22.79913))"
 ]
}

 The dataset includes 115 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034246-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.