cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.b598n2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sclerophrys gutturalis (Power, 1927)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035920-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvee65
title: Occurrence Download

description: A dataset containing 1126724 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ArtenFinder"
 ]
}

 The dataset includes 1126724 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035912-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2d3jbd
title: CCDC 2207923: Experimental Crystal Structure Determination

description: Related Article: V.S.Zimarev, N.S.Goulioukina, V.A.Tafeenko|2025|CSD Communication|||
description: Related Article: Vladislav S. Zimarev, Ilya D. Firsin, Alexander V. Larin, Victor A. Tafeenko, Grigoriy N. Bondarenko, Ilya V. Chuchelkin, Vladislav K. Gavrilov, Konstantin N. Gavrilov, Nataliya S. Goulioukina, Irina P. Beletskaya|2025|Org.Biomol.Chem.|23|5600|doi:10.1039/D5OB00602C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k74nm
title: CCDC 2360360: Experimental Crystal Structure Determination

description: Related Article: Etikala Ashok, Pandhiti R. Lakshmi, Revoju Sravanthi, Dhevalapally B. Ramachary|2025|Org.Biomol.Chem.|23|5616|doi:10.1039/D5OB00203F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k74pn
title: CCDC 2360361: Experimental Crystal Structure Determination

description: Related Article: Etikala Ashok, Pandhiti R. Lakshmi, Revoju Sravanthi, Dhevalapally B. Ramachary|2025|Org.Biomol.Chem.|23|5616|doi:10.1039/D5OB00203F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kdz10
title: CCDC 2365952: Experimental Crystal Structure Determination

description: Related Article: Etikala Ashok, Pandhiti R. Lakshmi, Revoju Sravanthi, Dhevalapally B. Ramachary|2025|Org.Biomol.Chem.|23|5616|doi:10.1039/D5OB00203F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kv9f5
title: CCDC 2378767: Experimental Crystal Structure Determination

description: Related Article: Fujuan Li, Danna Yang, Hongyan Qu, Mingqi Zhu, Suqing Zheng|2025|Org.Biomol.Chem.|23|5582|doi:10.1039/D5OB00306G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kvn8c
title: CCDC 2379103: Experimental Crystal Structure Determination

description: Related Article: Sourav Ghosh, Gopal Rana, Abhishek Kar, Rajkamal Sahoo, Umasish Jana|2025|Org.Biomol.Chem.|23|5643|doi:10.1039/D5OB00401B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kwvw6
title: CCDC 2380269: Experimental Crystal Structure Determination

description: Related Article: Hui Ni, Anyao Liu, Xiaoying Fu, Xinyi Zhang, Xiaowen Xue, Xiang Lyu, Aijun Lin, Yuli He|2025|Org.Biomol.Chem.|23|5666|doi:10.1039/D5OB00521C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m28bb
title: CCDC 2415251: Experimental Crystal Structure Determination

description: Related Article: Madina Zhanabaeva, Ruslan A. Kovalevsky, Alexander S. Kucherenko, Alexander A. Korlyukov, Sergei G. Zlotin|2025|Org.Biomol.Chem.|23|5611|doi:10.1039/D5OB00551E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m81ts
title: CCDC 2420815: Experimental Crystal Structure Determination

description: Related Article: Vladislav S. Zimarev, Ilya D. Firsin, Alexander V. Larin, Victor A. Tafeenko, Grigoriy N. Bondarenko, Ilya V. Chuchelkin, Vladislav K. Gavrilov, Konstantin N. Gavrilov, Nataliya S. Goulioukina, Irina P. Beletskaya|2025|Org.Biomol.Chem.|23|5600|doi:10.1039/D5OB00602C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2m84km
title: CCDC 2420900: Experimental Crystal Structure Determination

description: Related Article: Vladislav S. Zimarev, Ilya D. Firsin, Alexander V. Larin, Victor A. Tafeenko, Grigoriy N. Bondarenko, Ilya V. Chuchelkin, Vladislav K. Gavrilov, Konstantin N. Gavrilov, Nataliya S. Goulioukina, Irina P. Beletskaya|2025|Org.Biomol.Chem.|23|5600|doi:10.1039/D5OB00602C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mfwwv
title: CCDC 2426428: Experimental Crystal Structure Determination

description: Related Article: Sena Ozturk, Alexander R. Davis, Colin C. Seaton, Louise Male, Sarah J. Pike|2025|Org.Biomol.Chem.|23|5590|doi:10.1039/D5OB00342C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mfwyx
title: CCDC 2426430: Experimental Crystal Structure Determination

description: Related Article: Sena Ozturk, Alexander R. Davis, Colin C. Seaton, Louise Male, Sarah J. Pike|2025|Org.Biomol.Chem.|23|5590|doi:10.1039/D5OB00342C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mfx00
title: CCDC 2426432: Experimental Crystal Structure Determination

description: Related Article: Sena Ozturk, Alexander R. Davis, Colin C. Seaton, Louise Male, Sarah J. Pike|2025|Org.Biomol.Chem.|23|5590|doi:10.1039/D5OB00342C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mgc4m
title: CCDC 2426870: Experimental Crystal Structure Determination

description: Related Article: Sena Ozturk, Alexander R. Davis, Colin C. Seaton, Louise Male, Sarah J. Pike|2025|Org.Biomol.Chem.|23|5590|doi:10.1039/D5OB00342C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mgc5n
title: CCDC 2426871: Experimental Crystal Structure Determination

description: Related Article: Sena Ozturk, Alexander R. Davis, Colin C. Seaton, Louise Male, Sarah J. Pike|2025|Org.Biomol.Chem.|23|5590|doi:10.1039/D5OB00342C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mgc6p
title: CCDC 2426872: Experimental Crystal Structure Determination

description: Related Article: Sena Ozturk, Alexander R. Davis, Colin C. Seaton, Louise Male, Sarah J. Pike|2025|Org.Biomol.Chem.|23|5590|doi:10.1039/D5OB00342C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mgc7q
title: CCDC 2426873: Experimental Crystal Structure Determination

description: Related Article: Sena Ozturk, Alexander R. Davis, Colin C. Seaton, Louise Male, Sarah J. Pike|2025|Org.Biomol.Chem.|23|5590|doi:10.1039/D5OB00342C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mgc8r
title: CCDC 2426874: Experimental Crystal Structure Determination

description: Related Article: Sena Ozturk, Alexander R. Davis, Colin C. Seaton, Louise Male, Sarah J. Pike|2025|Org.Biomol.Chem.|23|5590|doi:10.1039/D5OB00342C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.25562079
title: AI-Assisted Dissertation Writing Opportunities, Challenges, and Ways Forward for Pakistani Doctoral Scholars

description: This study provides insights into the opportunities and challenges of using generative AI bots for dissertation writing, based on multiple perspectives published on various forums and the lived experiences of Pakistani university supervisors and supervisees from the social sciences disciplines.
DOI: 10.6084/m9.figshare.25562079.v1
title: AI-Assisted Dissertation Writing Opportunities, Challenges, and Ways Forward for Pakistani Doctoral Scholars

description: This study provides insights into the opportunities and challenges of using generative AI bots for dissertation writing, based on multiple perspectives published on various forums and the lived experiences of Pakistani university supervisors and supervisees from the social sciences disciplines.
DOI: 10.15468/dl.wxxkyh
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sclerophrys gutturalis (Power, 1927)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035921-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15043883
title: Architectural Design Decisions and Best Practices for Fast and Efficient CI/CD Pipelines: Replication Package

description: Replication package for the work: Architectural Design Decisions and Best Practices for Fast and Efficient CI/CD Pipelines

Abstract: Continuous Integration/Deployment (CI/CD) pipelines are critical for integrating developer changes and maintaining high-quality software deployments. The increasing frequency of commits and deployments places significant demands on CI/CD systems, requiring improved speed and efficiency. While numerous tools and techniques have been proposed to increase the velocity of CI/CD pipelines, there is a notable gap in architectural guidance for developers on key design decisions and best practices. To address this, we conducted a grey literature review using Straussian Grounded Theory to develop a UML-based model to guide software architects and developers in their decision-making. Our research focuses on identifying architectural design decisions (ADDs) and best practices as decision options that improve the speed and efficiency of CI/CD pipelines. The study analyses 38 sources, building a formal model comprising 6 ADDs and 30 best practices. This work contributes a structured, architecturally guided approach to optimizing CI/CD systems.
DOI: 10.5281/zenodo.15639753
title: Architectural Design Decisions and Best Practices for Fast and Efficient CI/CD Pipelines: Replication Package

description: Replication package for the work: Architectural Design Decisions and Best Practices for Fast and Efficient CI/CD Pipelines

Abstract: Continuous Integration/Deployment (CI/CD) pipelines are critical for integrating developer changes and maintaining high-quality software deployments. The increasing frequency of commits and deployments places significant demands on CI/CD systems, requiring improved speed and efficiency. While numerous tools and techniques have been proposed to increase the velocity of CI/CD pipelines, there is a notable gap in architectural guidance for developers on key design decisions and best practices. To address this, we conducted a grey literature review using Straussian Grounded Theory to develop a UML-based model to guide software architects and developers in their decision-making. Our research focuses on identifying architectural design decisions (ADDs) and best practices as decision options that improve the speed and efficiency of CI/CD pipelines. The study analyses 38 sources, building a formal model comprising 6 ADDs and 30 best practices. This work contributes a structured, architecturally guided approach to optimizing CI/CD systems.
DOI: 10.48597/cnjx-upkq
title: Cadmium at Hietajärvi

description: Measurement of Cadmium at Hietajärvi
DOI: 10.48597/fvay-f66y
title: Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.48597/xpkc-vbuw
title: Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.48597/xpu6-4bjh
title: Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.48597/yymf-x8gj
title: Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.48597/nxpt-4rwd
title: Precipitation_amount at Hietajärvi

description: Measurement of Precipitation_amount at Hietajärvi
DOI: 10.48597/ts47-a9s9
title: Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.48597/xv3r-akn5
title: Cobalt at Hietajärvi

description: Measurement of Cobalt at Hietajärvi
DOI: 10.48597/7qgz-34ha
title: Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.48597/qsjn-b87b
title: Precipitation_amount at Hietajärvi

description: Measurement of Precipitation_amount at Hietajärvi
DOI: 10.15468/dl.drp5aq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sclerophrys gutturalis (Power, 1927)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035922-250525065834625/datasets/export for details.
DOI: 10.48597/p3bt-tefr
title: Measurement of Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.48597/rkqv-sd2d
title: Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.48597/bd2e-bvhu
title: Measurement of Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.48597/cayv-kpqr
title: Measurement of Cadmium at Hietajärvi

description: Measurement of Cadmium at Hietajärvi
DOI: 10.48597/v7zc-xrmw
title: Measurement of Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.48597/ksfz-9vmf
title: Measurement of Precipitation_amount at Hietajärvi

description: Measurement of Precipitation_amount at Hietajärvi
DOI: 10.48597/wfms-8n87
title: Measurement of Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.48597/48wn-sbxw
title: Measurement of Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.48597/nb2y-32fs
title: Measurement of Precipitation_amount at Hietajärvi

description: Measurement of Precipitation_amount at Hietajärvi
DOI: 10.48597/rgpg-85p8
title: Measurement of Cobalt at Hietajärvi

description: Measurement of Cobalt at Hietajärvi
DOI: 10.48597/us9w-6ypg
title: Measurement of Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.48597/v7yr-xh8y
title: Measurement of Heavy metals at Hietajärvi

description: Measurement of Heavy metals at Hietajärvi
DOI: 10.6084/m9.figshare.27157565
title: The Interaction Fidelity Model: A Taxonomy to Communicate the Different Aspects of Fidelity in Virtual Reality

description: Fidelity describes how closely a replication resembles the original. It can be helpful to analyze how faithful interactions in virtual reality (VR) are to a reference interaction. In prior research, fidelity has been restricted to the simulation of reality—also called realism. Our definition includes other reference interactions, such as superpowers or fiction. Interaction fidelity is a multilayered concept. Unfortunately, different aspects of fidelity have either not been distinguished in scientific discourse or referred to with inconsistent terminology. Therefore, we present the Interaction Fidelity Model (IntFi Model). Based on the human-computer interaction loop, it systematically covers all stages of VR interactions. The conceptual model establishes a clear structure and precise definitions of eight distinct components. As a communication tool, it helps teams to understand and discuss fidelity in VR. It was reviewed through workshops with fourteen VR experts. We provide guidelines, diverse examples, and educational material to apply the IntFi Model universally to any VR experience and propose foundational research opportunities.
DOI: 10.6084/m9.figshare.27157565.v1
title: The Interaction Fidelity Model: A Taxonomy to Communicate the Different Aspects of Fidelity in Virtual Reality

description: Fidelity describes how closely a replication resembles the original. It can be helpful to analyze how faithful interactions in virtual reality (VR) are to a reference interaction. In prior research, fidelity has been restricted to the simulation of reality—also called realism. Our definition includes other reference interactions, such as superpowers or fiction. Interaction fidelity is a multilayered concept. Unfortunately, different aspects of fidelity have either not been distinguished in scientific discourse or referred to with inconsistent terminology. Therefore, we present the Interaction Fidelity Model (IntFi Model). Based on the human-computer interaction loop, it systematically covers all stages of VR interactions. The conceptual model establishes a clear structure and precise definitions of eight distinct components. As a communication tool, it helps teams to understand and discuss fidelity in VR. It was reviewed through workshops with fourteen VR experts. We provide guidelines, diverse examples, and educational material to apply the IntFi Model universally to any VR experience and propose foundational research opportunities.