cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10300235
title: SAQI: An Ontology based Knowledge GraphPlatform for Social Air Quality Index

description: This dataset consists of all contributions made by Social AQI (SAQI) project. The description of dataset is as below -


Local Sensor Data (hyperlocal-air-quality-sensor-data) - contains all sensors values recorded through local neighbourhood sensors throught the length of the project 
Locations for all these sensors are as below - In Najafgarh, Delhi, India : Jharoda Kalan, Nangli Dairy and DTC Bus terminal.
In Okhla : Sanjay Colony, Tekhand, Shaheen Bagh.


Data from Central Pollution Control Board (central-air-quality-sensor-data) - Najafgarh_CPCB.csv, Okhla_CPCB.csv : Contains data provided by CPCB from Najafgarh,Delhi and Oklha, Delhi



PollutionODP.owl : Ontology Design Pattern for pollution - http://ontologydesignpatterns.org/wiki/Submissions:Pollution.

Ontology : SAQI ontology as triples (ttl), xml (rdf) and json-ld (json) serialization format
Ontology documentation : ontology/diagram contains figures describing ontology, ontology/documentation/saqi.html contains LODE documentation for the ontology



ethnographic-survey-data - anonymized survey responses for initial pollution perception and literacy survey as well as SAQI app feedback survey.


SHACL-shapes - for validating against SAQI ontology.


 sparql-queries - sample queries to run on our ontology.


setup-rdf-store-script - script to setup rdf store with given data using rml mapper.
DOI: 10.5281/zenodo.7448006
title: SAQI: An Ontology based Knowledge GraphPlatform for Social Air Quality Index

description: This dataset consists of all contributions made by Social AQI (SAQI) project. The description of dataset is as below -


Local Sensor Data (hyperlocal-air-quality-sensor-data) - contains all sensors values recorded through local neighbourhood sensors throught the length of the project 
Locations for all these sensors are as below - In Najafgarh, Delhi, India : Jharoda Kalan, Nangli Dairy and DTC Bus terminal.
In Okhla : Sanjay Colony, Tekhand, Shaheen Bagh.


Data from Central Pollution Control Board (central-air-quality-sensor-data) - Najafgarh_CPCB.csv, Okhla_CPCB.csv : Contains data provided by CPCB from Najafgarh,Delhi and Oklha, Delhi



PollutionODP.owl : Ontology Design Pattern for pollution - http://ontologydesignpatterns.org/wiki/Submissions:Pollution.

Ontology : SAQI ontology as triples (ttl), xml (rdf) and json-ld (json) serialization format
Ontology documentation : ontology/diagram contains figures describing ontology, ontology/documentation/saqi.html contains LODE documentation for the ontology



ethnographic-survey-data - anonymized survey responses for initial pollution perception and literacy survey as well as SAQI app feedback survey.


SHACL-shapes - for validating against SAQI ontology.


 sparql-queries - sample queries to run on our ontology.


setup-rdf-store-script - script to setup rdf store with given data using rml mapper.
DOI: 10.5281/zenodo.7448007
title: SAQI: An Ontology based Knowledge GraphPlatform for Social Air Quality Index

description: This dataset consists of all contributions made by Social AQI (SAQI) project. The description of dataset is as below - Local Sensor Data (hyperlocal-air-quality-sensor-data) - contains all sensors values recorded through local neighbourhood sensors throught the length of the project <br> Locations for all these sensors are as below - In Najafgarh, Delhi, India : Jharoda Kalan, Nangli Dairy and DTC Bus terminal.<br> In Okhla : Sanjay Colony, Tekhand, Shaheen Bagh. Data from Central Pollution Control Board (central-air-quality-sensor-data) - Najafgarh_CPCB.csv, Okhla_CPCB.csv : Contains data provided by CPCB from Najafgarh,Delhi and Oklha, Delhi <br> PollutionODP.owl : Ontology Design Pattern for pollution - http://ontologydesignpatterns.org/wiki/Submissions:Pollution.<br> <br> Ontologies : SAQI_Ontology_Polution.owl - SAQI ontology for pollution and ethnographic data and SAQI_Person_Module.owl - Person module for SAQI Ontology.<br> <br> ethnographic-survey-data - anonymized survey responses. SHACL-shapes - for validating against both SAQI Person ontology and pollution ontology. sparql-queries - sample queries to run on our ontology. setup-rdf-store-script - script to setup rdf store with given data using rml mapper. <br>
DOI: 10.5281/zenodo.7919756
title: SAQI: An Ontology based Knowledge GraphPlatform for Social Air Quality Index

description: This dataset consists of all contributions made by Social AQI (SAQI) project. The description of dataset is as below - Local Sensor Data (hyperlocal-air-quality-sensor-data) - contains all sensors values recorded through local neighbourhood sensors throught the length of the project <br> Locations for all these sensors are as below - In Najafgarh, Delhi, India : Jharoda Kalan, Nangli Dairy and DTC Bus terminal.<br> In Okhla : Sanjay Colony, Tekhand, Shaheen Bagh. Data from Central Pollution Control Board (central-air-quality-sensor-data) - Najafgarh_CPCB.csv, Okhla_CPCB.csv : Contains data provided by CPCB from Najafgarh,Delhi and Oklha, Delhi <br> PollutionODP.owl : Ontology Design Pattern for pollution - http://ontologydesignpatterns.org/wiki/Submissions:Pollution.<br> <br> Ontology : SAQI ontology as triples (ttl), xml (rdf) and json-ld (json) serialization format<br> Ontology documentation : ontology/diagram contains figures describing ontology, ontology/documentation/saqi.html contains LODE documentation for the ontology <br> ethnographic-survey-data - anonymized survey responses for initial pollution perception and literacy survey as well as SAQI app feedback survey. SHACL-shapes - for validating against SAQI ontology. sparql-queries - sample queries to run on our ontology. setup-rdf-store-script - script to setup rdf store with given data using rml mapper. <br>
DOI: 10.5281/zenodo.10299013
title: Deciphering the significant role of biological ice nucleators in precipitation at the organic molecular level

description: FT-ICR-MS, INPs and other related environmental data reported in the manuscript "Deciphering the significant role of biological ice nucleators in precipitation at the organic molecular level ".
DOI: 10.5281/zenodo.7277754
title: REFLOW - Dataset for the report on P cycling and physico-chemical processes after fertilizer additions

description: This data set contains daily phosphorus (P) turnover values in soils amended with recycled and mineral P fertilisers
DOI: 10.5281/zenodo.7277755
title: REFLOW - Dataset for the report on P cycling and physico-chemical processes after fertilizer additions

description: This data set contains daily phosphorus (P) turnover values in soils amended with recycled and mineral P fertilisers
DOI: 10.14284/528
title: Abundance of Emiliania huxleyi and Gephyrocapsa ericsonii in the Gulf of Aqaba from 2017 to 2020: monitoring and experimental dataset

description: This dataset includes: nutrient data from Station A since 1975, as well as high resolution coastal (pier) water temperature data, both taken by the Israel National Monitoring Program (NMP), and abundance data on Emiliania huxleyi, Gephyrocapsa ericsonii and total coccolithophores from the years 2017 to 2020 at Station A, and coccolithophore data obtained from a temperature exposure experiment conducted in the Frada group at the Interuniversity Institute of Marine Sciences in Eilat (Israel).
description: Emiliania huxleyi and Gephyrocapsa ericsonii are common coccolithophores in the Gulf of Aqaba. Rising water temperature in the gulf however seem to be the driving force of drastically changing abundances of the two species as described in Frada et al.: Divergent fate of coccolithophores in a warming tropical ecosystem (2021, Global Change Biology).
DOI: 10.5281/zenodo.7300759
title: A time series database of available P concentrations and grass growth in soils receiving DPW fertilizers

description: This data set contains a time-series database of available and exchangeable P concentrations and grass dry matter yield in soils receiving struvites and hydrochar produced from DPS
DOI: 10.5281/zenodo.7300760
title: A time series database of available P concentrations and grass growth in soils receiving DPW fertilizers

description: This data set contains a time-series database of available and exchangeable P concentrations and grass dry matter yield in soils receiving struvites and hydrochar produced from DPS
DOI: 10.15131/shef.data.22117745.v2
title: ISRCTN registered pilot and feasibility studies 2013-2020 data file

description: Data related to a review of pilot and feasibility studies completed with particular focus on the sample sizes of these studies.Data was downloaded from the ISRCTN web registry and contains studies which ran from 2013 to 2020.Data contains 761 individual studies with basic information about the study design such as number of treatment arms, the funder type and primary endpoint type.Related journal article - https://doi.org/10.1186/s40814-023-01416-w
DOI: 10.15131/shef.data.22117745.v1
title: ISRCTN registered pilot and feasibility studies 2013-2020 data file

description: Data related to a review of pilot and feasibility studies completed with particular focus on the sample sizes of these studies. 
<br>
Data was downloaded from the ISRCTN web registry and contains studies which ran from 2013 to 2020. 
<br>
Data contains 785 indiviudal studies with basic information about the study design such as number of treatment arms, the funder type and primary endpoint type.
DOI: 10.15131/shef.data.22117745
title: ISRCTN registered pilot and feasibility studies 2013-2020 data file

description: Data related to a review of pilot and feasibility studies completed with particular focus on the sample sizes of these studies.Data was downloaded from the ISRCTN web registry and contains studies which ran from 2013 to 2020.Data contains 761 individual studies with basic information about the study design such as number of treatment arms, the funder type and primary endpoint type.Related journal article - https://doi.org/10.1186/s40814-023-01416-w
DOI: 10.5281/zenodo.10245331
title: Replication Package: Vulnerably (Mis)Configured? Exploring 10 Years of Developers' Q&As on Stack Overflow

description: Welcome to the public repository for the additional content of the paper "Vulnerably (Mis)Configured? Exploring 10 Years of Developers' Q&As on Stack Overflow", accepted at the International Working Conference on Variability Modelling of Software-Intensive Systems (VAMOS) 2024.
This repository provides additional information to the conducted exploratory study on configuration-related vulnerabilities, including the following files:

README.txt
LICENSE.txt
DATASET_CONFIG_VULN_SO.csv: sheet containing data of 651 StackOverflow posts, including additional classifications based on manual analyses and automatic topic modeling
Instructions for using the dataset

Download and open the dataset (platform-independent CSV file).
The dataset includes 16 columns (A – P):- Columns A – J: Original data fetched from the BigQuery Stack Overflow dataset (Question_ID, Year_Asked, Question_Title, Question_Body, Question_Tags, View_Count, Question_Rating, Favorite_Count, Status, Answer_Count)- Columns K – N: Manually extracted data from the Stack Overflow posts (System, Configuration Context, Security Context, Topic)- Column O: Data based on the automated topic modeling (Configuration Topic)- Column P: Additional data extracted from the Stack Overflow posts without further classifications (Additional Comments)
Requirements

No requirements
Further information

The dataset is based on a search string (SQL query; August 1, 2023) applied on the Google BigQuery Stack Overflow dataset: ("secur*") AND ("vulnerabilit*" OR "weakness*" OR "breach*" OR "exposure*" OR "CVE*" OR "CWE*") AND ("config*")
Originally, the dataset included 1,235 post which were limited by the first and second authors to 651 posts (34 deleted posts, 550 posts out of scope) using the following selection criteria: - The post has been created in the last decade (2013-2022).- The post is still available on the Stack Overflow website.- The post is directly connected to a vulnerability-related issue in the context of configuring.
Topic modeling algorithm used: Latent Dirichlet Allocation (LDA)- Settings: 200 iterations (coherence value = 0.6 for k = 7 to 11), α = k, β = 0.01
DOI: 10.5281/zenodo.10245332
title: Replication Package: Vulnerably (Mis)Configured? Exploring 10 Years of Developers' Q&As on Stack Overflow

description: Welcome to the public repository for the additional content of the paper "Vulnerably (Mis)Configured? Exploring 10 Years of Developers' Q&As on Stack Overflow", accepted at the International Working Conference on Variability Modelling of Software-Intensive Systems (VAMOS) 2024.
This repository provides additional information to the conducted exploratory study on configuration-related vulnerabilities, including the following files:

README.txt
LICENSE.txt
DATASET_CONFIG_VULN_SO.csv: sheet containing data of 651 StackOverflow posts, including additional classifications based on manual analyses and automatic topic modeling
Instructions for using the dataset

Download and open the dataset (platform-independent CSV file).
The dataset includes 16 columns (A – P):- Columns A – J: Original data fetched from the BigQuery Stack Overflow dataset (Question_ID, Year_Asked, Question_Title, Question_Body, Question_Tags, View_Count, Question_Rating, Favorite_Count, Status, Answer_Count)- Columns K – N: Manually extracted data from the Stack Overflow posts (System, Configuration Context, Security Context, Topic)- Column O: Data based on the automated topic modeling (Configuration Topic)- Column P: Additional data extracted from the Stack Overflow posts without further classifications (Additional Comments)
Requirements

No requirements
Further information

The dataset is based on a search string (SQL query; August 1, 2023) applied on the Google BigQuery Stack Overflow dataset: ("secur*") AND ("vulnerabilit*" OR "weakness*" OR "breach*" OR "exposure*" OR "CVE*" OR "CWE*") AND ("config*")
Originally, the dataset included 1,235 post which were limited by the first and second authors to 651 posts (34 deleted posts, 550 posts out of scope) using the following selection criteria: - The post has been created in the last decade (2013-2022).- The post is still available on the Stack Overflow website.- The post is directly connected to a vulnerability-related issue in the context of configuring.
Topic modeling algorithm used: Latent Dirichlet Allocation (LDA)- Settings: 200 iterations (coherence value = 0.6 for k = 7 to 11), α = k, β = 0.01
DOI: 10.5517/ccdc.csd.cc2fr4jw
title: CCDC 2256568: Experimental Crystal Structure Determination

description: Related Article: Subhamoy Mukhopadhyay, Bhavya Khaitan, Shikha Gandhi|2023|Org.Biomol.Chem.|21|9326|doi:10.1039/D3OB01672B
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: 10.5281/zenodo.10300100
title: Table S2 for: Landscape and local factors drive pesticide distribution in perennial agroecosystems.

description: Table S2 related to the publication:
Radek Michalko, Luboš Purchart & Ondřej Košulič. Landscape and local factors drive pesticide distribution in perennial agroecosystems. Conservation Biology, xx: xx.
The repository contains the comprehensive list of applied and detected pesticide compounds, including their metabolites detected during the study. 
Table caption:
Location number/type - shows what management type was applied (IPM, organic); Crop type/management - shows the type of crops (vineyards, orchards); Applied by farmers - shows the list of pesticides used by farmers; Pesticide type - shows type of pesticides (e.g. herbicide, fungicide, insecticide, etc.); Year of Application - shows what year the respective pesticide was applied; Detection - shows what pesticide residues were detected in respective locality.
description: The study was financially supported by the Technology Agency of the Czech Republic, program BETA2 (TITSMZP833).
DOI: 10.5281/zenodo.10300101
title: Table S2 for: Landscape and local factors drive pesticide distribution in perennial agroecosystems.

description: Table S2 related to the publication:
Radek Michalko, Luboš Purchart & Ondřej Košulič. Landscape and local factors drive pesticide distribution in perennial agroecosystems. Conservation Biology, xx: xx.
The repository contains the comprehensive list of applied and detected pesticide compounds, including their metabolites detected during the study. 
Table caption:
Location number/type - shows what management type was applied (IPM, organic); Crop type/management - shows the type of crops (vineyards, orchards); Applied by farmers - shows the list of pesticides used by farmers; Pesticide type - shows type of pesticides (e.g. herbicide, fungicide, insecticide, etc.); Year of Application - shows what year the respective pesticide was applied; Detection - shows what pesticide residues were detected in respective locality.
description: The study was financially supported by the Technology Agency of the Czech Republic, program BETA2 (TITSMZP833).
DOI: 10.5517/ccdc.csd.cc2gn3qz
title: CCDC 2283451: Experimental Crystal Structure Determination

description: Related Article: Julia C. Reisenbauer, Ann-Sophie K. Paschke, Jelena Krizic, Bence B. Botlik, Patrick Finkelstein, Bill Morandi|2023|Org.Lett.|25|8419|doi:10.1021/acs.orglett.3c03264
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.cc2gn3y6
title: CCDC 2283458: Experimental Crystal Structure Determination

description: Related Article: Julia C. Reisenbauer, Ann-Sophie K. Paschke, Jelena Krizic, Bence B. Botlik, Patrick Finkelstein, Bill Morandi|2023|Org.Lett.|25|8419|doi:10.1021/acs.orglett.3c03264
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.cc2gvsjn
title: CCDC 2289862: Experimental Crystal Structure Determination

description: Related Article: Ke Li|2023|CSD Communication|||
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.cc2gvslq
title: CCDC 2289864: Experimental Crystal Structure Determination

description: Related Article: Ke Li|2023|CSD Communication|||
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.cc2gvz0b
title: CCDC 2290032: Experimental Crystal Structure Determination

description: Related Article: Enrico Spoletti, Vivek Verma, Chiara Cappuccino, Matteo Lusi|2023|Chem.Commun.|59|14321|doi:10.1039/D3CC04725C
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.cc2gvz1c
title: CCDC 2290033: Experimental Crystal Structure Determination

description: Related Article: Enrico Spoletti, Vivek Verma, Chiara Cappuccino, Matteo Lusi|2023|Chem.Commun.|59|14321|doi:10.1039/D3CC04725C
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.cc2gvz2d
title: CCDC 2290034: Experimental Crystal Structure Determination

description: Related Article: Enrico Spoletti, Vivek Verma, Chiara Cappuccino, Matteo Lusi|2023|Chem.Commun.|59|14321|doi:10.1039/D3CC04725C
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.cc2gvz3f
title: CCDC 2290035: Experimental Crystal Structure Determination

description: Related Article: Enrico Spoletti, Vivek Verma, Chiara Cappuccino, Matteo Lusi|2023|Chem.Commun.|59|14321|doi:10.1039/D3CC04725C
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.cc2gvz4g
title: CCDC 2290036: Experimental Crystal Structure Determination

description: Related Article: Enrico Spoletti, Vivek Verma, Chiara Cappuccino, Matteo Lusi|2023|Chem.Commun.|59|14321|doi:10.1039/D3CC04725C
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.cc2gvz6j
title: CCDC 2290038: Experimental Crystal Structure Determination

description: Related Article: Enrico Spoletti, Vivek Verma, Chiara Cappuccino, Matteo Lusi|2023|Chem.Commun.|59|14321|doi:10.1039/D3CC04725C
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.cc2gvz7k
title: CCDC 2290039: Experimental Crystal Structure Determination

description: Related Article: Enrico Spoletti, Vivek Verma, Chiara Cappuccino, Matteo Lusi|2023|Chem.Commun.|59|14321|doi:10.1039/D3CC04725C
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.