cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc111149543
title: Pyu Inscription, PYU 32

description: [Text Description:] Pyu Inscription ❧ [Text or Publication Number Note:] PYU32 ❧ [Excavation Description:] Myanadi village, east of Maingmaw ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Slab; height 80 cm, width 181 cm and depth 13 cm ❧ [Physical Object Note:] Stone
DOI: 10.25549/inscriptifact-ouc111147415
title: Pyu Inscription, PYU 18

description: [Text Description:] Pyu Inscription ❧ [Text or Publication Number Note:] PYU18 ❧ [Excavation Description:] Sinlu village, Pwinbyu township ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Slab; height 88 cm, width 53 cm and depth 8 cm ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.rkhnv8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Planococcus lilacinus (Cockerell, 1905)",
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127660-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111147380
title: Pyu Inscription, PYU 18

description: [Text Description:] Pyu Inscription ❧ [Text or Publication Number Note:] PYU18 ❧ [Excavation Description:] Sinlu village, Pwinbyu township ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Slab; height 88 cm, width 53 cm and depth 8 cm ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.cfbj6n
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parthenolecanium persicae (Fabricius, 1776)",
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127678-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111147509
title: Pyu Inscription, PYU 18

description: [Text Description:] Pyu Inscription ❧ [Text or Publication Number Note:] PYU18 ❧ [Excavation Description:] Sinlu village, Pwinbyu township ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Slab; height 88 cm, width 53 cm and depth 8 cm ❧ [Physical Object Note:] Stone
DOI: 10.25549/inscriptifact-ouc111147438
title: Pyu Inscription, PYU 19

description: [Text Description:] Pyu Inscription ❧ [Text or Publication Number Note:] PYU19 ❧ [Excavation Description:] near Hpayahtaung pagoda ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Funerary tablet; height 50 cm, width 48 cm and depth 15 cm ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.9snc97
title: Occurrence Download

description: A dataset containing 4416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-79.8296617000000026 36.0692182000000017, -79.8296617000000026 36.0713922899999986, -79.8296617000000026 36.0746534199999971, -79.8296617000000026 36.0780698399999977, -79.8296617000000026 36.0802439300000017, -79.8296617000000026 36.0822627299999965, -79.8296617000000026 36.0847473999999977, -79.8273390500000062 36.0847473999999977, -79.8242428199999949 36.0847473999999977, -79.8200629199999980 36.0847473999999977, -79.8172763099999969 36.0847473999999977, -79.8141800799999999 36.0847473999999977, -79.8096905600000071 36.0847473999999977, -79.8070587600000039 36.0847473999999977, -79.8045812999999953 36.0847473999999977, -79.8045812999999953 36.0814862699999992, -79.8045812999999953 36.0777592600000006, -79.8045812999999953 36.0749640000000014, -79.8045812999999953 36.0732557899999975, -79.8045812999999953 36.0692182000000017, -79.8076780100000036 36.0692182000000017, -79.8104646099999968 36.0692182000000017, -79.8151089499999955 36.0692182000000017, -79.8180503699999946 36.0692182000000017, -79.8205273500000061 36.0692182000000017, -79.8245524400000050 36.0692182000000017, -79.8268746199999981 36.0692182000000017, -79.8296617000000026 36.0692182000000017))",
 "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 4416 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093128-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc1sto1633502
title: InscriptiFact -- an image database of inscriptions and artifacts
DOI: 10.25549/inscriptifact-ouc111148445
title: Pyu Inscription, PYU 20

description: [Text Description:] Inscription on outer wall of the urn ❧ [Text or Publication Number Note:] PYU20 ❧ [Excavation Description:] near Hpayahtaung pagoda ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Urn; height 106 cm, maximum circumference 273 cm, maximum depth of cavity 55 cm ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.ur88ux
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanaspis delicata Ferris, 1941",
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127612-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111148446
title: Pyu Inscription, PYU 21

description: [Text Description:] Image of parasol, banners, sun and moon at top ❧ [Text or Publication Number Note:] PYU21 ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Slab; height 72 cm, width 57 cm and depth 6 cm ❧ [Physical Object Note:] Stone
DOI: 10.25549/inscriptifact-ouc111148448
title: Pyu Inscription, PYU 20

description: [Text Description:] Inscription on outer wall of the urn ❧ [Text or Publication Number Note:] PYU20 ❧ [Excavation Description:] near Hpayahtaung pagoda ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Urn; height 106 cm, maximum circumference 273 cm, maximum depth of cavity 55 cm ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.8r8tms
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudococcus pithecellobii Gimpel & Miller, 1996",
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127616-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqf3n5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-80.1465893000000023 25.7964793999999991, -80.1465893000000023 25.7969219299999999, -80.1465893000000023 25.7972638900000000, -80.1465893000000023 25.7975454999999982, -80.1465893000000023 25.7980282599999988, -80.1465893000000023 25.7984909000000009, -80.1462066699999980 25.7984909000000009, -80.1460455600000046 25.7984909000000009, -80.1456226300000054 25.7984909000000009, -80.1452198399999958 25.7984909000000009, -80.1448170500000003 25.7984909000000009, -80.1444545399999981 25.7984909000000009, -80.1440114699999953 25.7984909000000009, -80.1434072800000052 25.7984909000000009, -80.1430246299999993 25.7984909000000009, -80.1425412800000032 25.7984909000000009, -80.1422190499999942 25.7984909000000009, -80.1419975200000039 25.7984909000000009, -80.1417356999999981 25.7984909000000009, -80.1413127999999944 25.7984909000000009, -80.1413127999999944 25.7981288299999996, -80.1413127999999944 25.7976661900000011, -80.1413127999999944 25.7974851500000000, -80.1413127999999944 25.7971834300000005, -80.1413127999999944 25.7968414700000004, -80.1413127999999944 25.7964793999999991, -80.1419169600000032 25.7964793999999991, -80.1422593300000017 25.7964793999999991, -80.1426017000000002 25.7964793999999991, -80.1433267299999983 25.7964793999999991, -80.1439107700000051 25.7964793999999991, -80.1442128599999961 25.7964793999999991, -80.1445350999999988 25.7964793999999991, -80.1450184400000012 25.7964793999999991, -80.1453608099999997 25.7964793999999991, -80.1460254200000008 25.7964793999999991, -80.1462066699999980 25.7964793999999991, -80.1465893000000023 25.7964793999999991))",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093135-210914110416597/datasets/export for details.
DOI: 10.25549/inscriptifact-ouc111148554
title: Pyu Inscription, PYU 21

description: [Text Description:] Image of parasol, banners, sun and moon at top ❧ [Text or Publication Number Note:] PYU21 ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Slab; height 72 cm, width 57 cm and depth 6 cm ❧ [Physical Object Note:] Stone
DOI: 10.25549/inscriptifact-ouc111148457
title: Pyu Inscription, PYU 21

description: [Text Description:] Image of parasol, banners, sun and moon at top ❧ [Text or Publication Number Note:] PYU21 ❧ [Medium:] Stone ❧ [Script Note:] Pyu ❧ [Physical Object Description:] Slab; height 72 cm, width 57 cm and depth 6 cm ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.ee69gn
title: Occurrence Download

description: A dataset containing 192570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crepis vesicaria L., Reseda luteola L., Chaerophyllum hirsutum L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 192570 records from 653 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184369-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26050/wdcc/ar6.c6spfqfes126
title: IPCC DDC: FIO-QLNM FIO-ESM2.0 model output prepared for CMIP6 ScenarioMIP ssp126

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.FIO-QLNM.FIO-ESM-2-0.ssp126' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The FIO-ESM 2.0 climate model, released in 2018, includes the following components: aerosol: Prescribed monthly fields, atmos: CAM4 (0.9x1.25 finite volume grid; 192 x 288 longitude/latitude; 26 levels; top level ~2 hPa), land: CLM4.0 (same grid at atmos), ocean: POP2-W (POP2 coupled with MASNUM surface wave model, Displaced Pole; 320 x 384 longitude/latitude; 60 levels; top grid cell 0-10 m), seaIce: CICE4.0 (same grid as ocean). The model was run by the FIO (First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China), QNLM (Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China) (FIO-QLNM) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.
DOI: 10.5281/zenodo.14986435
title: CMIP6 input data usage information for IPCC WGI AR6 figure 4.31

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 4.31 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 4.31.
DOI: 10.15468/dl.fsm3mg
title: Occurrence Download

description: A dataset containing 9880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eruca vesicaria (L.) Cav.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 9880 records from 381 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007769-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14986436
title: CMIP6 input data usage information for IPCC WGI AR6 figure 4.31

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 4.31 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 4.31.
DOI: 10.14457/tu.the.2024.200
title: การศึกษาความต้องการและแนวทางการพัฒนาศูนย์เรียนรู้ชุมชนครบวงจรชุมชนบ้านเลือก อำเภอโพธาราม จังหวัดราชบุรี

description: การศึกษาเรื่อง “การศึกษาความต้องการและแนวทางการพัฒนาศูนย์เรียนรู้ชุมชนครบวงจร ชุมชนบ้านเลือก อำเภอโพธาราม จังหวัดราชบุรี” มีวัตถุประสงค์เพื่อศึกษาความต้องการของประชาชนในชุมชนและแนวทางในการพัฒนาศูนย์เรียนรู้ชุมชนครบวงจร โดยใช้วิธีการวิจัยแบบผสมผสาน (Mixed Methods Research) ประกอบด้วย การวิจัยเชิงปริมาณและเชิงคุณภาพ กลุ่มตัวอย่าง คือ ประชาชนในชุมชนบ้านเลือก จำนวน 99 คน ซึ่งได้มาจากการสุ่มตัวอย่างแบบเจาะจง (Purposive Sampling) เครื่องมือที่ใช้ในการวิจัย ได้แก่ แบบสอบถามและการสัมภาษณ์เชิงลึก วิเคราะห์ข้อมูลโดยใช้สถิติเชิงพรรณนาและการวิเคราะห์เนื้อหาผลการศึกษาพบว่า ประชาชนในชุมชนมีความต้องการให้ศูนย์เรียนรู้ชุมชนครบวงจรเป็นแหล่งให้ความรู้ด้านอาชีพ เทคโนโลยี และวัฒนธรรมท้องถิ่น รวมถึงเป็นศูนย์กลางในการพัฒนาเศรษฐกิจชุมชน โดยต้องการให้มีการจัดอบรมหลักสูตรด้านเกษตรกรรม พาณิชยกรรม และเทคโนโลยีดิจิทัล อีกทั้งยังเน้นให้มีแหล่งเรียนรู้ที่สามารถเข้าถึงได้ง่ายและมีบุคลากรที่มีความเชี่ยวชาญเป็นผู้ให้คำแนะนำ แนวทางในการพัฒนาศูนย์เรียนรู้ชุมชนครบวงจร ควรมุ่งเน้นการมีส่วนร่วมของชุมชน การบริหารจัดการที่ยั่งยืน และการสนับสนุนจากภาครัฐและเอกชน รวมถึงการนำเทคโนโลยีสารสนเทศมาใช้ในการเผยแพร่ความรู้และส่งเสริมกิจกรรมการเรียนรู้ ผลการศึกษานี้สามารถนำไปเป็นแนวทางในการพัฒนาและส่งเสริมศูนย์เรียนรู้ชุมชนให้ตอบสนองต่อความต้องการของประชาชนได้อย่างมีประสิทธิภาพ
DOI: 10.5281/zenodo.11169680
title: Underwater images collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-10-18

description: This dataset was collected by an Autonomous Surface Vehicle in St-Leu, Réunion - 2023-10-18. 

            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.

            

            
 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