cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-1115/275
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DOI: 10.18419/darus-1115/276
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DOI: 10.18419/darus-1115/277
title: crmeta.db

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DOI: 10.18419/darus-1115/287
title: LK01-09.ply.rcInfo

description: :unav
DOI: 10.18419/darus-1115/288
title: LK01-09.obj

description: :unav
DOI: 10.18419/darus-1115/289
title: LK01-09.las.rcInfo

description: :unav
DOI: 10.18419/darus-1115/290
title: LK01-09.ply

description: :unav
DOI: 10.18419/darus-1115/291
title: LK01-10.mtl

description: :unav
DOI: 10.18419/darus-1115/292
title: LK01-09.las

description: :unav
DOI: 10.18419/darus-1115
title: 3D Photogrammetric-Data for LK01-09

description: Research data (*.las, *.ply and *.obj format) which was obtained by Photogrammetric/Computer Vision 3D digitization as well as original images which were the base for the 3D reconstruction process. Explanation about the 3D data format: Las (Is the normal data format for laser scanned point cloud data and also for photogrammetric 3D model.) Ply or Ply + jpg (The software RealityCapture encoded texture mesh in a single ply file while the software Agisoft metashape exported textured mesh in ply format + .jpg.) Obj + mtl + jpg (Obj stores a texture mesh together with mtl and jpg file. Obj file contains information of geometric vertices, texture vertices, vertex normal, polygon face element etc. The Mtl file defines the texture information of the faces. Mtl normally refers to a jpg for storing the actual texture.) Explanation about the mask image (if available): To avoid lots of background information in the 3D reconstruction process, well-aligned images to generate a rough model were applied. Afterwards a mask for each image could be calculated according to the 3D model. In the next step, original images together with the corresponding masks are applied to implement the reconstruction, which is free from the influence of the background information. This dataset is part of the digital gyroscope collection. For more information about the collection and its creation, please see the documentation dataset: Niklaus, Maria, 2021, "Information about the Gyrolog data repository", doi: 10.18419/darus-821, DaRUS.To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", doi: 10.18419/darus-gyrolog, DaRUS.
DOI: 10.18419/darus-1115/293
title: LK01-09.obj.rcInfo

description: :unav
DOI: 10.18419/darus-1122/1
title: M_59-18_u0_v0.jpg

description: :unav
DOI: 10.18419/darus-1122/2
title: M_59-18.mtl

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DOI: 10.18419/darus-1122/3
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DOI: 10.18419/darus-1122/4
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DOI: 10.18419/darus-1122/10
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DOI: 10.18419/darus-1122/9
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DOI: 10.18419/darus-1122/14
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DOI: 10.6084/m9.figshare.26370655
title: Replication Package

description: <b>Replication Package of the Empirical Study</b><br>To replicate the experiments described in the paper, we provide the following resources:- <b>`study_methodology`</b>: This folder contains sections detailing our application of BERTopic topic modeling and the dataset used. It includes two subfolders:<b>`data`</b>: Contains posts related to microservices deployment used in this study, as well as questions and their links addressed in RQ2 of the paper.<b>`Topic Modeling`</b>: Implements the BERTopic topic modeling process. The trained model is saved in the `saved_model` folder.- <b>`RQ1`</b> folder: Contains the script for measuring the number of questions per topic and extracting the related posts for each topic (RQ1 results).- <b>`RQ2`</b> folder: Contains the script for computing the difficulty and popularity metrics (RQ2 results).- <b>`RQ3`</b> folder: Contains the script for analyzing the evolution of microservices deployment questions and the users involved in related discussions from 2013 to 2023, as well as the evolution of questions per topic over the years (RQ3 results).
DOI: 10.6084/m9.figshare.26370655.v1
title: Replication Package

description: <b>Replication Package of the Empirical Study</b><br>To replicate the experiments described in the paper, we provide the following resources:- <b>`study_methodology`</b>: This folder contains sections detailing our application of BERTopic topic modeling and the dataset used. It includes two subfolders:<b>`data`</b>: Contains posts related to microservices deployment used in this study, as well as questions and their links addressed in RQ2 of the paper.<b>`Topic Modeling`</b>: Implements the BERTopic topic modeling process. The trained model is saved in the `saved_model` folder.- <b>`RQ1`</b> folder: Contains the script for measuring the number of questions per topic and extracting the related posts for each topic (RQ1 results).- <b>`RQ2`</b> folder: Contains the script for computing the difficulty and popularity metrics (RQ2 results).- <b>`RQ3`</b> folder: Contains the script for analyzing the evolution of microservices deployment questions and the users involved in related discussions from 2013 to 2023, as well as the evolution of questions per topic over the years (RQ3 results).
DOI: 10.18419/darus-1122/15
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DOI: 10.18419/darus-1122/64
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DOI: 10.18419/darus-1122/99
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description: :unav
DOI: 10.15468/dl.wwu23j
title: Occurrence Download

description: A dataset containing 12155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lespedeza cuneata (Dum.Cours.) G.Don)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 12155 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035755-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1122/100
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DOI: 10.18419/darus-1122/249
title: modelDB94E49D984C420C9D7767827A0EA6E312294.dat

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DOI: 10.18419/darus-1122/250
title: model5A6D5DA6F06946EBBDEA7AF976D60DB3_tex0_0.dat

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DOI: 10.18419/darus-1122/251
title: model1.dat

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DOI: 10.15468/dl.hbede4
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lespedeza thunbergii subsp. formosa (Vogel) H.Ohashi)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 41 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035756-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1122/252
title: MÜ59-18.rcproj

description: :unav
DOI: 10.18419/darus-1122/253
title: metadata0.dat

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DOI: 10.18419/darus-1122/254
title: model0.dat

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