cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2021-12.2399968/1935755
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2396747/1935756
title: Data for EMSL Project 51227 from December 2021
DOI: 10.48510/fk2/of0n9l/nwxnou
title: 01_data.tab

description: :unav
DOI: 10.48510/fk2/of0n9l/tjbuow
title: boxplot_toothpaste.png

description: :unav
DOI: 10.48510/fk2/of0n9l/wmxxgl
title: 03_variables.txt

description: :unav
DOI: 10.25582/data.2021-12.2401612/1935757
title: Data for EMSL Project 51227 from December 2021
DOI: 10.48510/fk2/of0n9l
title: Use of toothpastes Latvia and Lithuania

description: This repository contains original data from a survey collecting information about the use of toothpastes in Latvia and Lithuania. The analysis script is included. The dataset also includes a statistical analysis script, created using the R software, and specifications for reproducing the analysis. Additionally, a codebook is included to explain the different codes used in the data. The data was obtained from a survey research and has been appropriately anonymized for use in research. To ensure compliance with FAIR data principles, the data is clearly documented and the data management process is well-described, the data is accessible and reusable, and the data is properly cited.
DOI: 10.48510/fk2/of0n9l/9e2cag
title: 00_README.txt

description: :unav
DOI: 10.48510/fk2/of0n9l/a59pq9
title: figure_area.pdf

description: :unav
DOI: 10.48510/fk2/of0n9l/iehewj
title: 04_codebook.html

description: :unav
DOI: 10.48510/fk2/of0n9l/nnmyzx
title: figure_age.pdf

description: :unav
DOI: 10.48510/fk2/of0n9l/u3u9cv
title: 02_analysis_script.Rmd

description: :unav
DOI: 10.25582/data.2022-01.2414358/1935758
title: Data for EMSL Project 51227 from January 2022
DOI: 10.25582/data.2021-12.2399941/1935759
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2392065/1935760
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2396744/1935761
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2403639/1935762
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2392197/1935763
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2396993/1935764
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2400042/1935765
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2395302/1935766
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2395200/1935767
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2395208/1935768
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2405165/1935769
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2405153/1935770
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2022-01.2414316/1935771
title: Data for EMSL Project 51227 from January 2022
DOI: 10.25582/data.2021-12.2399915/1935772
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2405275/1935773
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2398774/1935774
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2396047/1935775
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2398369/1935776
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2405309/1935777
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2392600/1935778
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2395989/1935779
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2395431/1935780
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2398311/1935781
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2396694/1935782
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2396661/1935783
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2398541/1935784
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2399830/1935785
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2396911/1935786
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2395935/1935787
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2400098/1935788
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2404017/1935789
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2398353/1935790
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-11.2383720/1935791
title: Data for EMSL Project 51227 from November 2021
DOI: 10.25582/data.2021-12.2395624/1935792
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2397152/1935793
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-11.2384430/1935794
title: Data for EMSL Project 51227 from November 2021
DOI: 10.25582/data.2021-12.2405824/1935795
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2399998/1935796
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-11.2383524/1935797
title: Data for EMSL Project 51227 from November 2021
DOI: 10.25582/data.2021-12.2398206/1935798
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2400272/1935799
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2395258/1935800
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2396015/1935801
title: Data for EMSL Project 51227 from December 2021
DOI: 10.25582/data.2021-12.2405848/1935802
title: Data for EMSL Project 51227 from December 2021
DOI: 10.15468/dl.k7wep7
title: Occurrence Download

description: A dataset containing 35746 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hoplias malabaricus (Bloch, 1794)"
 ]
}

 The dataset includes 35746 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078726-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4nc7a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Balkanopetalum graecum Stoev & Enghoff, 2003",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078731-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13328784
title: Predicting Phenotypic Traits Using Conglomerate RNA-seq Datasets -- Datasets

description: Phenotype Annotations and Corresponding Gene Expression Matrices created for the paper Hadish et al. [REF]. Raw Phenotypic Annotations were downloaded and processed from NCBI BioProject and raw RNA-seq data was downloaded from NCBI SRA. All annotations are contained within a single file for either Tissue or Age. Gene expression matrices are for each of the 12 species used in this project in their unproccessed form. 

Scripts used in this project are located here: 

GitLab Repository: 

https://gitlab.com/ficklin-lab/predicting-phenotypic-traits-using-conglomerate-rna-seq-datasets

Paper Citation: 

[REF]
DOI: 10.5281/zenodo.13328785
title: Predicting Phenotypic Traits Using Conglomerate RNA-seq Datasets -- Datasets

description: Phenotype Annotations and Corresponding Gene Expression Matrices created for the paper Hadish et al. [REF]. Raw Phenotypic Annotations were downloaded and processed from NCBI BioProject and raw RNA-seq data was downloaded from NCBI SRA. All annotations are contained within a single file for either Tissue or Age. Gene expression matrices are for each of the 12 species used in this project in their unproccessed form. 

Scripts used in this project are located here: 

GitLab Repository: 

https://gitlab.com/ficklin-lab/predicting-phenotypic-traits-using-conglomerate-rna-seq-datasets

Paper Citation: 

[REF]
DOI: 10.15468/dl.xnjfbc
title: Occurrence Download

description: A dataset containing 532 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Campynemataceae"
 ]
}

 The dataset includes 532 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078732-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5syjky
title: Occurrence Download

description: A dataset containing 23158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felis silvestris Schreber, 1777",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 23158 records from 290 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078733-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.heu97c
title: Occurrence Download

description: A dataset containing 653 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corsiaceae"
 ]
}

 The dataset includes 653 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078734-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pha5mv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Balkanopetalum petrovi Stoev & Enghoff, 2003",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078735-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ycv3a7
title: Occurrence Download

description: A dataset containing 28022 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyclanthaceae"
 ]
}

 The dataset includes 28022 records from 493 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078729-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbxmjd
title: Occurrence Download

description: A dataset containing 653 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Petermanniaceae"
 ]
}

 The dataset includes 653 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078736-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.928fdr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Prolysiopetalum pedefissum (Verhoeff, 1903)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078741-240626123714530/datasets/export for details.
DOI: 10.15468/dl.j7e8q2
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Triturus karelinii (Strauch, 1870)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 111 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078738-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekbth5
title: Occurrence Download

description: A dataset containing 430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vampyressa thyone Thomas, 1909"
 ]
}

 The dataset includes 430 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078737-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64zvxk
title: Occurrence Download

description: A dataset containing 430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vampyressa thyone Thomas, 1909"
 ]
}

 The dataset includes 430 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078739-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4m7bz
title: Occurrence Download

description: A dataset containing 1766 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Philesiaceae"
 ]
}

 The dataset includes 1766 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078742-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c3cc7s
title: Smithsonian ForestGEO San Lorenzo and Panama Small Plots aerial photogrammetry orthomosaics and digital surface models for 2015-2024.

description: Data are available for download at: https://smithsonian.dataone.org/datasets/Panama_Forest_Drone_DatasetMetadata of the products comes as comma separated value file named metadata_all.csv , variables_description.csv and a README.txtThe Panama Forest Drone Dataset is a dataset part of an initiative focused on monitoring and understanding forest ecosystems in Panama through the use of drone technology. This project is led by Dr. Helene Muller-Landau at the Smithsonian Tropical Research Institute, with the primary goal of capturing high-resolution imagery and comprehensive data across various forest study plots located in central Panama. The dataset is a part of an ongoing effort to document and analyze changes in forest conditions, contributing valuable insights into tropical forest dynamics.This extensive dataset covers nine macrosites, including well-known areas such as the Agua Salud Project, Parque Natural Metropolitano, Bosque Protector de Arraiján, Barro Colorado Natural Monument, Parque Nacional Soberanía, Parque Nacional Camino de Cruces, Gamboa, San Lorenzo, and Santa Rita Colón. Within these macrosites, the dataset encompasses 38 individual plots, each representing distinct areas of interest. Data collection has been conducted over multiple dates, with a total of 84 drone flights contributing to the dataset, capturing critical information across these diverse landscapes.The data products available within this dataset include orthomosaics, digital surface models (DSMs), point clouds, raw images, and detailed processing reports. All these products are provided in the UTM Zone 17N coordinate reference system (EPSG: 32617).Orthomosaics and DSMs are available in GeoTIFF format, while point clouds are provided as LAS files in versions 1.2 and 1.4. The dataset primarily consists of RGB imagery, though flights in 2024 utilized a DJI Mavic 3 Enterprise Multispectral sensor, offering multispectral data alongside the standard RGB products.The drones used in this project include a variety of platforms, each equipped with specific sensors suited to the data collection needs. The DJI Phantom 4 Pro, denoted as P4P in the dataset, was frequently used, equipped with an FC6310 camera. Other platforms include the Solo 3DR, outfitted with a Peau Productions MAPIR sensor(SOLO) and a MAPIR Survey 2 sensor(SOLO2). The eBee SenseFly, which utilized both a S.O.D.A camera sensor and a SONY DSC-WX220 sensor, the latter referred to as EBEE2 in the dataset. The DJI Mavic 3 Enterprise (M3E), featured a M3M multispectral sensor. The Hobbyest drones doneted as DR1 carried a Canon PowerShot ELPH 520 HS.AcknoledgementsWe extend our sincere gratitude to Jonathan Dandois, Ryan Nolin, and Marino Ramirez for their exceptional work as drone pilots during the early flights. We also deeply appreciate the invaluable field support provided by Paulino Villarreal and Pablo Ramos. A special thanks goes to Milton Solano for his support as a GIS specialist.
DOI: 10.15468/dl.hjrt78
title: Occurrence Download

description: A dataset containing 52421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is one of (Europe, North America, Oceania, Asia, Antarctica, Africa, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carex magellanica Lam."
 ]
}

 The dataset includes 52421 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078740-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17876/plate/dr.3/plates/301_50085
title: Digital object identifier (DOI) for the plate 50085 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50086
title: Digital object identifier (DOI) for the plate 50086 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50087
title: Digital object identifier (DOI) for the plate 50087 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50088
title: Digital object identifier (DOI) for the plate 50088 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50089
title: Digital object identifier (DOI) for the plate 50089 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50090
title: Digital object identifier (DOI) for the plate 50090 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50091
title: Digital object identifier (DOI) for the plate 50091 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50092
title: Digital object identifier (DOI) for the plate 50092 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50093
title: Digital object identifier (DOI) for the plate 50093 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50094
title: Digital object identifier (DOI) for the plate 50094 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50095
title: Digital object identifier (DOI) for the plate 50095 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50096
title: Digital object identifier (DOI) for the plate 50096 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50097
title: Digital object identifier (DOI) for the plate 50097 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50098
title: Digital object identifier (DOI) for the plate 50098 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50099
title: Digital object identifier (DOI) for the plate 50099 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50100
title: Digital object identifier (DOI) for the plate 50100 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50101
title: Digital object identifier (DOI) for the plate 50101 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50102
title: Digital object identifier (DOI) for the plate 50102 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50103
title: Digital object identifier (DOI) for the plate 50103 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50104
title: Digital object identifier (DOI) for the plate 50104 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50105
title: Digital object identifier (DOI) for the plate 50105 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50106
title: Digital object identifier (DOI) for the plate 50106 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50107
title: Digital object identifier (DOI) for the plate 50107 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50108
title: Digital object identifier (DOI) for the plate 50108 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50109
title: Digital object identifier (DOI) for the plate 50109 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50110
title: Digital object identifier (DOI) for the plate 50110 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50111
title: Digital object identifier (DOI) for the plate 50111 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50112
title: Digital object identifier (DOI) for the plate 50112 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50113
title: Digital object identifier (DOI) for the plate 50113 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50114
title: Digital object identifier (DOI) for the plate 50114 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50115
title: Digital object identifier (DOI) for the plate 50115 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50116
title: Digital object identifier (DOI) for the plate 50116 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50117
title: Digital object identifier (DOI) for the plate 50117 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50118
title: Digital object identifier (DOI) for the plate 50118 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50119
title: Digital object identifier (DOI) for the plate 50119 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50120
title: Digital object identifier (DOI) for the plate 50120 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50121
title: Digital object identifier (DOI) for the plate 50121 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50122
title: Digital object identifier (DOI) for the plate 50122 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50123
title: Digital object identifier (DOI) for the plate 50123 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50124
title: Digital object identifier (DOI) for the plate 50124 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50125
title: Digital object identifier (DOI) for the plate 50125 in archive 301 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/301_50126
title: Digital object identifier (DOI) for the plate 50126 in archive 301 from the APPLAUSE DR3