cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11177065
title: Underwater images collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-06-01

description: This dataset was collected by an Autonomous Surface Vehicle in Hermitage, Réunion - 2023-06-01. 

            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.

            

            
 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!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.15468/dl.ymm2k9
title: Occurrence Download

description: A dataset containing 133634 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mammal records from Britain from the Atlas of Mammals (1993), with some subsequent records"
 ]
}

 The dataset includes 133634 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020510-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6f9jb8
title: Occurrence Download

description: A dataset containing 132180 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SILENE-FAUNE-PACA - Réserve_Naturelle_de_Camargue_2017_12_18"
 ]
}

 The dataset includes 132180 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020509-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k98uyu
title: Occurrence Download

description: A dataset containing 132303 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Field Museum of Natural History (Botany) Bryophyte Collection"
 ]
}

 The dataset includes 132303 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020511-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111142295
title: Leningrad Codex, Firkovitch B19A, Firkovitch B19A

description: [Text Description:] Full text of the Hebrew Bible, with Masoretic notes and carpet pages. ❧ [Text or Publication Number Note:] Firkovitch B19A, Codex L ❧ [Medium:] Parchment ❧ [Script Note:] Jewish ❧ [Physical Object Description:] Manuscript, thick white parchment, 491 folios. Pages 30 x 27 cm, text covers 20.5 x 22 cm. Black ink. ❧ [Physical Object Note:] Top plank of a 15th/16th century binding remains, but manuscript is currently unbound. ❧ [Text Division:] Front Matter ❧ [Text Division Description:] Front Matter ❧ [Text Division:] Genesis ❧ [Text Division Description:] Genesis ❧ [Text Division:] Exodus ❧ [Text Division Description:] Exodus ❧ [Text Division:] Leviticus ❧ [Text Division Description:] Leviticus ❧ [Text Division:] Numbers ❧ [Text Division Description:] Numbers ❧ [Text Division:] Deuteronomy ❧ [Text Division Description:] Deuteronomy ❧ [Text Division:] Joshua ❧ [Text Division Description:] Joshua ❧ [Text Division:] Judges ❧ [Text Division Description:] Judges ❧ [Text Division:] I & II Samuel ❧ [Text Division Description:] I & II Samuel ❧ [Text Division:] I & II Kings ❧ [Text Division Description:] I & II Kings ❧ [Text Division:] Isaiah ❧ [Text Division Description:] Isaiah ❧ [Text Division:] Jeremiah ❧ [Text Division Description:] Jeremiah ❧ [Text Division:] Ezekiel ❧ [Text Division Description:] Ezekiel ❧ [Text Division:] 12 Minor Prophets ❧ [Text Division Description:] 12 Minor Prophets ❧ [Text Division:] I & II Chronicles ❧ [Text Division Description:] I & II Chronicles ❧ [Text Division:] Psalms ❧ [Text Division Description:] Psalms ❧ [Text Division:] Job ❧ [Text Division Description:] Job ❧ [Text Division:] Proverbs ❧ [Text Division Description:] Proverbs ❧ [Text Division:] Ruth ❧ [Text Division Description:] Ruth ❧ [Text Division:] Song of Songs ❧ [Text Division Description:] Song of Songs ❧ [Text Division:] Ecclesiastes ❧ [Text Division Description:] Ecclesiastes ❧ [Text Division:] Lamentations ❧ [Text Division Description:] Lamentations ❧ [Text Division:] Esther ❧ [Text Division Description:] Esther ❧ [Text Division:] Daniel ❧ [Text Division Description:] Daniel ❧ [Text Division:] Ezra-Nehemiah ❧ [Text Division Description:] Ezra-Nehemiah ❧ [Text Division:] Masoretic Lists ❧ [Text Division Description:] Masoretic Lists ❧ [Text Division:] Carpet Pages ❧ [Text Division Description:] Carpet Pages ❧ [Text Division:] End Matter ❧ [Text Division Description:] End Matter
DOI: 10.15468/dl.wecqn8
title: Occurrence Download

description: A dataset containing 27493572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1992-2022"
 ]
}

 The dataset includes 27493572 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091735-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111141478
title: Persepolis Fortification Anepigraphic Tablet 0065.101, PFAnep 0065.101

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0065.101, PFUT 0065-101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions
DOI: 10.25549/inscriptifact-ouc111141480
title: Persepolis Fortification Anepigraphic Tablet 0065.101, PFAnep 0065.101

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAnep 0065.101, PFUT 0065-101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions
DOI: 10.5281/zenodo.11414343
title: Carvalho & Kury (in press) the genus Gyndoides Mello-Leitão, 1927 revisited (Opiliones, Gonyleptidae). TABLE 1. List of morphological characters.
DOI: 10.5281/zenodo.11414344
title: Carvalho & Kury (in press) the genus Gyndoides Mello-Leitão, 1927 revisited (Opiliones, Gonyleptidae). TABLE 1. List of morphological characters.
DOI: 10.15468/dl.b6v77u
title: Occurrence Download

description: A dataset containing 1089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-122.2659077999999937 37.8853076999999985, -122.2659077999999937 37.8865451500000034, -122.2659077999999937 37.8881263299999986, -122.2659077999999937 37.8894325199999997, -122.2659077999999937 37.8903262299999994, -122.2659077999999937 37.8911512000000030, -122.2659077999999937 37.8921824000000029, -122.2646710399999961 37.8921824000000029, -122.2629533599999974 37.8921824000000029, -122.2617166400000031 37.8921824000000029, -122.2606173300000023 37.8921824000000029, -122.2587622000000067 37.8921824000000029, -122.2587622000000067 37.8904637199999996, -122.2587622000000067 37.8893637700000028, -122.2587622000000067 37.8880575800000017, -122.2587622000000067 37.8864076500000024, -122.2587622000000067 37.8853076999999985, -122.2597928400000029 37.8853076999999985, -122.2614418099999938 37.8853076999999985, -122.2624724100000009 37.8853076999999985, -122.2639152600000045 37.8853076999999985, -122.2659077999999937 37.8853076999999985))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 1089 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091753-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111145313
title: Incription in Kawi Script

description: [Text Description:] Incription in Kawi Script ❧ [Excavation Description:] Incription in Kawi Script ❧ [Medium:] Metal ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Foil ❧ [Physical Object Note:] Metal
DOI: 10.25549/inscriptifact-ouc111145152
title: Incription in Kawi Script

description: [Text Description:] Incription in Kawi Script ❧ [Excavation Description:] Incription in Kawi Script ❧ [Medium:] Metal ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Foil ❧ [Physical Object Note:] Metal
DOI: 10.15468/dl.rp5exq
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-84.2076492999999999 39.7357429999999994, -84.2076492999999999 39.7393570600000032, -84.2076492999999999 39.7416803899999991, -84.2076492999999999 39.7432292700000005, -84.2076492999999999 39.7467142599999974, -84.2076492999999999 39.7489085099999997, -84.2076492999999999 39.7523934999999966, -84.2043025300000068 39.7523934999999966, -84.2003121500000020 39.7523934999999966, -84.1965792099999959 39.7523934999999966, -84.1947770999999960 39.7523934999999966, -84.1947770999999960 39.7507155400000016, -84.1947770999999960 39.7487794399999999, -84.1947770999999960 39.7460688899999965, -84.1947770999999960 39.7437455700000015, -84.1947770999999960 39.7418094599999989, -84.1947770999999960 39.7394861399999968, -84.1947770999999960 39.7376791000000011, -84.1947770999999960 39.7357429999999994, -84.1972228199999932 39.7357429999999994, -84.2000546999999955 39.7357429999999994, -84.2028865900000056 39.7357429999999994, -84.2057184699999937 39.7357429999999994, -84.2076492999999999 39.7357429999999994))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 327 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097804-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111143721
title: Telaga Batu or Sabokingking inscription, MNI D155

description: [Text Description:] Telaga Batu or Sabokingking inscription; snake hoods at top and outlet for liquid at bottom ❧ [Text or Publication Number Note:] MNI D155 ❧ [Medium:] Stone ❧ [Script Note:] Southern Brahmi ❧ [Physical Object Description:] Stela ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.r5g8qy
title: Occurrence Download

description: A dataset containing 661945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capreolus capreolus (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is less than or equal to 2022"
 ]
}

 The dataset includes 661945 records from 1052 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184174-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111145282
title: Incription in Kawi Script

description: [Text Description:] Incription in Kawi Script ❧ [Excavation Description:] Incription in Kawi Script ❧ [Medium:] Metal ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Foil ❧ [Physical Object Note:] Metal
DOI: 10.15468/dl.5ar6tf
title: Occurrence Download

description: A dataset containing 14019405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 14019405 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091757-210914110416597/datasets/export for details.
DOI: 10.25549/inscriptifact-ouc111143057
title: Telaga Batu or Sabokingking inscription, MNI D155

description: [Text Description:] Telaga Batu or Sabokingking inscription; snake hoods at top and outlet for liquid at bottom ❧ [Text or Publication Number Note:] MNI D155 ❧ [Medium:] Stone ❧ [Script Note:] Southern Brahmi ❧ [Physical Object Description:] Stela ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.zpp565
title: Occurrence Download

description: A dataset containing 1439080 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picus Linnaeus, 1758"
 ]
}

 The dataset includes 1439080 records from 1225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091728-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10489740
title: UFLUX 100m daily photosynthesis fluxes in northwestern UK 2021

description: UFLUX Ensemble UK100mdaily (UK 100 Daily) in northwestern UK 2021

OverviewThe UFLUX ensemble dataset offers European fluxes at 100 m spatial resolution, generated using machine learning models. It integrates satellite-based Sentinel-1 backscatters and Sentinel-2 vegetation proxies NIRv with ERA5 climate reanalysis, and is trained against ICOS eddy covariance observations. It  includes five core flux components:





Gross Primary Production (GPP) [open access]




Ecosystem Respiration (RECO) [in progress]




Net Ecosystem Exchange (NEE) [in progress]




Sensible Heat Flux (H) [in progress]




Latent Energy Flux (LE) [in progress]



Background and MethodologyThe Unified FLUXes (UFLUX) initiative is a data-driven, machine learning-based platform designed to upscale eddy covariance (EC) flux measurements from tower sites to the global scale. It aims to answer pressing questions about how effectively terrestrial ecosystems are managed under climate change.

Key innovations of UFLUX include:





Consistent Upscaling Framework: Harmonizes flux upscaling across spatial/temporal scales and multiple flux types (GPP, RECO, etc.) using deep decision tree-based methods, better suited than conventional neural networks for EC flux data.




Hybrid Explainable ML: Combines black-box ML with ecological interpretability through residual learning, offering both predictive power and new scientific insight (UFLUXv2).




Uncertainty Quantification: Employs sampling space completeness to assess model uncertainty in a transparent, robust manner.




Multisource Integration: Leverages complementary strengths of vegetation proxies (e.g., NIRv, SIF) and climate data (e.g., ERA5) to represent carbon dynamics more comprehensively than single-source approaches.




Superior Gap-Filling: Originally developed as a global EC flux gap-filling tool, UFLUX improves accuracy by up to 30% and reduces uncertainty by as much as 70% compared to traditional methods.




High Performance: Achieves strong predictive accuracy, with global-scale R² > 0.8 for RECO and ≈0.9 for GPP, while being computationally efficient enough to run on a standard laptop.




Community Adoption: Already used by other global upscaling projects, highlighting its reliability and impact.



ApplicationsUFLUX is ideal for studying the interactions between land management, climate change, and carbon fluxes, particularly in improving global estimates of GPP and RECO by addressing biases in EC measurements.

Resources



UFLUX Website: https://sites.google.com/view/uflux



Code Repository: https://github.com/soonyenju/uflux




Technical & Descriptive Publication: https://doi.org/10.1080/01431161.2024.2312266
DOI: 10.5281/zenodo.10489741
title: UFLUX 100m daily photosynthesis fluxes in northwestern UK 2021

description: UFLUX Ensemble UK100mdaily (UK 100 Daily) in northwestern UK 2021

OverviewThe UFLUX ensemble dataset offers European fluxes at 100 m spatial resolution, generated using machine learning models. It integrates satellite-based Sentinel-1 backscatters and Sentinel-2 vegetation proxies NIRv with ERA5 climate reanalysis, and is trained against ICOS eddy covariance observations. It  includes five core flux components:





Gross Primary Production (GPP) [open access]




Ecosystem Respiration (RECO) [in progress]




Net Ecosystem Exchange (NEE) [in progress]




Sensible Heat Flux (H) [in progress]




Latent Energy Flux (LE) [in progress]



Background and MethodologyThe Unified FLUXes (UFLUX) initiative is a data-driven, machine learning-based platform designed to upscale eddy covariance (EC) flux measurements from tower sites to the global scale. It aims to answer pressing questions about how effectively terrestrial ecosystems are managed under climate change.

Key innovations of UFLUX include:





Consistent Upscaling Framework: Harmonizes flux upscaling across spatial/temporal scales and multiple flux types (GPP, RECO, etc.) using deep decision tree-based methods, better suited than conventional neural networks for EC flux data.




Hybrid Explainable ML: Combines black-box ML with ecological interpretability through residual learning, offering both predictive power and new scientific insight (UFLUXv2).




Uncertainty Quantification: Employs sampling space completeness to assess model uncertainty in a transparent, robust manner.




Multisource Integration: Leverages complementary strengths of vegetation proxies (e.g., NIRv, SIF) and climate data (e.g., ERA5) to represent carbon dynamics more comprehensively than single-source approaches.




Superior Gap-Filling: Originally developed as a global EC flux gap-filling tool, UFLUX improves accuracy by up to 30% and reduces uncertainty by as much as 70% compared to traditional methods.




High Performance: Achieves strong predictive accuracy, with global-scale R² > 0.8 for RECO and ≈0.9 for GPP, while being computationally efficient enough to run on a standard laptop.




Community Adoption: Already used by other global upscaling projects, highlighting its reliability and impact.



ApplicationsUFLUX is ideal for studying the interactions between land management, climate change, and carbon fluxes, particularly in improving global estimates of GPP and RECO by addressing biases in EC measurements.

Resources



UFLUX Website: https://sites.google.com/view/uflux



Code Repository: https://github.com/soonyenju/uflux




Technical & Descriptive Publication: https://doi.org/10.1080/01431161.2024.2312266
DOI: 10.5281/zenodo.15747009
title: dataset_trident_resnet50_extrapolation

description: Dataset WSI project MLiA
DOI: 10.5281/zenodo.15747008
title: dataset_trident_resnet50_extrapolation

description: Dataset WSI project MLiA
DOI: 10.3886/icpsr03485.v2
title: Immigrants Admitted to the United States, 1999
title: Version 2

description: This data collection contains information on the characteristics of aliens who became legal permanent residents of the United States in fiscal year 1999 (October 1998 through September 1999). Data are presented for two types of immigrants. The first category, New Arrivals, arrived from outside the United States with valid immigration visas issued by the United States Immigration and Naturalization Service. The second category, Adjustments, were already in the United States with temporary status and were adjusted to legal permanent residence through petition to the United States Immigration and Naturalization Service. Variables include port of entry, month and year of admission, class of admission, and state and area to which the immigrants were admitted. Demographic information such as age, sex, marital status, occupation, country of birth, country of last permanent residence, and nationality is also provided.
description: inap.
description: Datasets: 
DS1: Immigrants Admitted to the United States, 1999
description: All aliens who became legal permanent residents of the United States in fiscal year 1999.
DOI: 10.5281/zenodo.15746960
title: Teaching Dataset for Parametric Statistical Analysis

description: This sample dataset is designed for practicing parametric statistical analysis. It is structured to support a range of common statistical procedures, including mean comparisons, correlation, regression, reliability analysis, and descriptive statistics.

Please note that this dataset has been artificially generated for educational purposes. It does not reflect real-world data and is not part of any scientific study. Therefore, it should not be interpreted as evidence-based or representative of actual research findings
DOI: 10.5281/zenodo.15746961
title: Teaching Dataset for Parametric Statistical Analysis

description: This sample dataset is designed for practicing parametric statistical analysis. It is structured to support a range of common statistical procedures, including mean comparisons, correlation, regression, reliability analysis, and descriptive statistics.

Please note that this dataset has been artificially generated for educational purposes. It does not reflect real-world data and is not part of any scientific study. Therefore, it should not be interpreted as evidence-based or representative of actual research findings