cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc252qnn
title: CCDC 1998621: Experimental Crystal Structure Determination

description: Related Article: Gonzalo Campillo-Alvarado, Eva C. Vargas-Olvera, Dale C. Swenson, Hugo Morales-Rojas, Herbert Höpfl, Leonard R. MacGillivray|2026|Chem.Commun.|62|4519|doi:10.1039/d5cc05394c
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.cc252qpp
title: CCDC 1998622: Experimental Crystal Structure Determination

description: Related Article: Gonzalo Campillo-Alvarado, Eva C. Vargas-Olvera, Dale C. Swenson, Hugo Morales-Rojas, Herbert Höpfl, Leonard R. MacGillivray|2026|Chem.Commun.|62|4519|doi:10.1039/d5cc05394c
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.cc2pbycc
title: CCDC 2483173: Experimental Crystal Structure Determination

description: Related Article: Tina P. Andrejević, Jovica Branković, Tatjana Ilic-Tomic, Nevena Stevanović, Bojana Pantović, Darko P. Ašanin, Jasmina Nikodinovic-Runic, Vladimir P. Petrović, Violeta R. Marković, Biljana Đ. Glišić|2026|Dalton Trans.|55|3460|doi:10.1039/d5dt02898a
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.cc2lszx9
title: CCDC 2407302: Experimental Crystal Structure Determination

description: Related Article: Tina P. Andrejević, Jovica Branković, Tatjana Ilic-Tomic, Nevena Stevanović, Bojana Pantović, Darko P. Ašanin, Jasmina Nikodinovic-Runic, Vladimir P. Petrović, Violeta R. Marković, Biljana Đ. Glišić|2026|Dalton Trans.|55|3460|doi:10.1039/d5dt02898a
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.cc2lszyb
title: CCDC 2407303: Experimental Crystal Structure Determination

description: Related Article: Tina P. Andrejević, Jovica Branković, Tatjana Ilic-Tomic, Nevena Stevanović, Bojana Pantović, Darko P. Ašanin, Jasmina Nikodinovic-Runic, Vladimir P. Petrović, Violeta R. Marković, Biljana Đ. Glišić|2026|Dalton Trans.|55|3460|doi:10.1039/d5dt02898a
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.18760576
title: CONCEPTUAL FOUNDATIONS AND MATHEMATICAL MODELING OF STUDENT KNOWLEDGE DIAGNOSIS USING FUZZY LOGIC SYSTEMS

description: In the contemporary landscape of higher education, accurate assessment of student performance remains a critical challenge. Traditional deterministic assessment models, which rely on binary logic (Pass/Fail) or rigid numerical grading, often fail to capture the inherent ambiguity and multifaceted nature of human learning. This limitation necessitates the adoption of more flexible computational intelligence techniques. This study proposes a comprehensive diagnostic framework based on Fuzzy Logic theory to evaluate student knowledge. By utilizing linguistic variables and fuzzy inference systems (FIS), the proposed model integrates quantitative metrics (test scores) with qualitative indicators (attendance, classroom engagement) to produce a holistic assessment of student competency. The research methodology involves defining membership functions for input variables, constructing a rule base derived from pedagogical expertise, and applying the centroid method for defuzzification. Preliminary analysis suggests that this fuzzy-based approach significantly reduces the subjectivity associated with human grading and provides a more granular, equitable, and personalized diagnostic tool for educators.
DOI: 10.5281/zenodo.18760577
title: CONCEPTUAL FOUNDATIONS AND MATHEMATICAL MODELING OF STUDENT KNOWLEDGE DIAGNOSIS USING FUZZY LOGIC SYSTEMS

description: In the contemporary landscape of higher education, accurate assessment of student performance remains a critical challenge. Traditional deterministic assessment models, which rely on binary logic (Pass/Fail) or rigid numerical grading, often fail to capture the inherent ambiguity and multifaceted nature of human learning. This limitation necessitates the adoption of more flexible computational intelligence techniques. This study proposes a comprehensive diagnostic framework based on Fuzzy Logic theory to evaluate student knowledge. By utilizing linguistic variables and fuzzy inference systems (FIS), the proposed model integrates quantitative metrics (test scores) with qualitative indicators (attendance, classroom engagement) to produce a holistic assessment of student competency. The research methodology involves defining membership functions for input variables, constructing a rule base derived from pedagogical expertise, and applying the centroid method for defuzzification. Preliminary analysis suggests that this fuzzy-based approach significantly reduces the subjectivity associated with human grading and provides a more granular, equitable, and personalized diagnostic tool for educators.
DOI: 10.48723/kd85-8s18
title: Gene expression data of patients with endocrine-resistant breast cancer
title: Genexpressionsdata från patienter med endokrinresistent bröstcancer

description: Patients with endocrine-resistant breast cancer in Stockholm, Sweden. RNA obtained from patients primary and relapse tumors. RNA was extracted from formalin-fixed paraffin-embedded (FFPE) tumor tissue and analyzed by Affymetrix Clariom D Microarray. Pre-processing carried out in Transcriptome Analysis Console (TAC) with Signal Space Transformation and Robust Multi-chip Analysis (SST-RMA) method. Data presented in three (3) folders containing annotation and readme-files, pre-processed gene list, and microarray data files.
description: Patienter med endokrinresistent bröstcancer i Stockholm, Sverige. RNA erhölls från patienters primär- och recidivtumörer. RNA extraherades från formalinfixerat, paraffininbäddat tumörmaterial och analyserades med Affymetrix Clariom D Microarray. Preprocessning utfört i Transcriptome Analysis Console (TAC) med Signal Space Transformation och Robust Multi-chip Analysis (SST-RMA) metod. Data presenterad i tre (3) mappar innehållandes annoterings- och readme-filer, pre-processad genlista, och microarray datafiler.
DOI: 10.48723/3n15-0f04
title: Gene expression data of patients with endocrine-resistant breast cancer
title: Genexpressionsdata från patienter med endokrinresistent bröstcancer

description: Patients with endocrine-resistant breast cancer in Stockholm, Sweden. RNA obtained from patients primary and relapse tumors. RNA was extracted from formalin-fixed paraffin-embedded (FFPE) tumor tissue and analyzed by Affymetrix Clariom D Microarray. Pre-processing carried out in Transcriptome Analysis Console (TAC) with Signal Space Transformation and Robust Multi-chip Analysis (SST-RMA) method. Data presented in three (3) folders containing annotation and readme-files, pre-processed gene list, and microarray data files.
description: Patienter med endokrinresistent bröstcancer i Stockholm, Sverige. RNA erhölls från patienters primär- och recidivtumörer. RNA extraherades från formalinfixerat, paraffininbäddat tumörmaterial och analyserades med Affymetrix Clariom D Microarray. Preprocessning utfört i Transcriptome Analysis Console (TAC) med Signal Space Transformation och Robust Multi-chip Analysis (SST-RMA) metod. Data presenterad i tre (3) mappar innehållandes annoterings- och readme-filer, pre-processad genlista, och microarray datafiler.
DOI: 10.15468/dl.eyr7yz
title: Occurrence Download

description: A dataset containing 10933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Pristipomoides multidens"
 ]
}

 The dataset includes 10933 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007551-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18174140
title: Spin-up in the Model Uncertainty Model Intercomparison Project: humidity and temperature adjustment and its consequences for convective diagnostics

description: This is a dataset that belongs to a manuscript which currently has the same name. The work is carried out as part of the model uncertainty model intercomparison project (MUMIP), which documents uncertainty experiments with physics parameterisations of numerical models of the atmosphere. Therefore, it categorises as work within meteorology and climate physics. 

For a comprehensive technical description we refer to the associated manuscript and the README_MUMIP_* file and also visit the following data repository: https://doi.org/10.5281/zenodo.18163757
DOI: 10.5281/zenodo.18174141
title: Spin-up in the Model Uncertainty Model Intercomparison Project: humidity and temperature adjustment and its consequences for convective diagnostics

description: This is a dataset that belongs to a manuscript which currently has the same name. The work is carried out as part of the model uncertainty model intercomparison project (MUMIP), which documents uncertainty experiments with physics parameterisations of numerical models of the atmosphere. Therefore, it categorises as work within meteorology and climate physics. 

For a comprehensive technical description we refer to the associated manuscript and the README_MUMIP_* file and also visit the following data repository: https://doi.org/10.5281/zenodo.18163757
DOI: 10.5281/zenodo.18760562
title: COMPLICATIONS OF CHRONIC PROSTATITIS

description: Chronic prostatitis is a prevalent urological condition that significantly affects men’s quality of life due to persistent pain, urinary disturbances, and sexual dysfunction. This article reviews the complications associated with chronic prostatitis, including recurrent urinary tract infections, prostate abscesses, obstructive uropathy, chronic pelvic pain, and infertility. Understanding the etiology, pathophysiology, and clinical manifestations of these complications is essential for early diagnosis, effective treatment, and prevention. Comprehensive management strategies combining pharmacological therapy, lifestyle modifications, and surgical interventions when necessary can improve patient outcomes and reduce long-term morbidity. This review highlights the importance of timely recognition and multidisciplinary approaches in the management of chronic prostatitis complications.
DOI: 10.5281/zenodo.18760563
title: COMPLICATIONS OF CHRONIC PROSTATITIS

description: Chronic prostatitis is a prevalent urological condition that significantly affects men’s quality of life due to persistent pain, urinary disturbances, and sexual dysfunction. This article reviews the complications associated with chronic prostatitis, including recurrent urinary tract infections, prostate abscesses, obstructive uropathy, chronic pelvic pain, and infertility. Understanding the etiology, pathophysiology, and clinical manifestations of these complications is essential for early diagnosis, effective treatment, and prevention. Comprehensive management strategies combining pharmacological therapy, lifestyle modifications, and surgical interventions when necessary can improve patient outcomes and reduce long-term morbidity. This review highlights the importance of timely recognition and multidisciplinary approaches in the management of chronic prostatitis complications.
DOI: 10.15468/dl.dudhzp
title: Occurrence Download

description: A dataset containing 483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melpomene moniliformis",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 483 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007552-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18760544
title: Dataset – The Influential Role of Hotel-Generated Content on Social Media

description: 1. Dataset Description

This dataset contains the anonymized survey responses used in the empirical study examining the influence of hotel-generated content (HGC) on social media on booking intention, considering the mediating roles of perceived information quality, engagement, and brand attitude.

The dataset includes 834 valid responses collected in January 2021 in Spain through the Toluna online panel.

All data are fully anonymized. No personal identifiers are included.

2. Study Purpose

This dataset supports an empirical study analyzing how hotel-generated content (HGC) on social media influences booking intention through the mediating roles of perceived information quality, engagement and brand attitude.




3. Research Design



Country: Spain

Data collection: January 2021

Panel provider: Toluna

Sample size: 834 respondents

Method: Online survey

Experimental exposure: Participants were shown a simulated social media post from a fictitious hotel before answering the questionnaire.


Screening Conditions

Participants were required to:



Have an active account on at least one social media platform.

Have stayed in a hotel within the last three years.





4. Measurement

All construct items were measured using a 5-point Likert scale:

1 = Strongly disagree2 = Disagree3 = Neutral4 = Agree5 = Strongly agree

The structural model was estimated using PLS-SEM with bootstrapping (5,000 subsamples).

All latent variables were modeled as reflective constructs.




5. File Structure



The Excel file contains two worksheets:


Sheet 1 – Dataset



Respondent_ID (anonymous identifier)

Sociodemographic variables (panel-provided)

Screening variables

Social media usage variables

Construct measurement items:

CGH1–CGH6 (Hotel-Generated Content)

CPI1–CPI4 (Perceived Information Quality)

eWOM1–eWOM4 (Engagement intentions)

ACT1–ACT4 (Brand Attitude)

BI1–BI3 (Booking Intention)


 

Sheet 2 – Codebook



Variable name

Description

Construct (if applicable)

Exact item wording (for survey items)

Measurement scale

Source reference





6. Variable Naming Convention



Construct items follow the structure:



HGC = Hotel-Generated Content

PIQ = Perceived Information Quality

eWOM = Engagement intentions

ACT = Brand Attitude

BI = Booking Intention


Demographic variables are standardized in English

No reverse-coded items are included.





7. Data Preparation

The dataset has been prepared for open access:



Panel identifiers removed.

Postal codes and province-level identifiers removed.

Duplicate demographic coding variables removed.

Respondent_ID added for anonymous referencing.

Variable names standardized.

Missing values preserved as in original dataset.


No transformations or statistical modifications have been applied beyond anonymization and structural cleaning.




8. Ethical Statement



Data collected exclusively for academic research purposes.

All responses are anonymous.

No personal identifying information is included.
DOI: 10.5281/zenodo.18760545
title: Dataset – The Influential Role of Hotel-Generated Content on Social Media

description: 1. Dataset Description

This dataset contains the anonymized survey responses used in the empirical study examining the influence of hotel-generated content (HGC) on social media on booking intention, considering the mediating roles of perceived information quality, engagement, and brand attitude.

The dataset includes 834 valid responses collected in January 2021 in Spain through the Toluna online panel.

All data are fully anonymized. No personal identifiers are included.

2. Study Purpose

This dataset supports an empirical study analyzing how hotel-generated content (HGC) on social media influences booking intention through the mediating roles of perceived information quality, engagement and brand attitude.




3. Research Design



Country: Spain

Data collection: January 2021

Panel provider: Toluna

Sample size: 834 respondents

Method: Online survey

Experimental exposure: Participants were shown a simulated social media post from a fictitious hotel before answering the questionnaire.


Screening Conditions

Participants were required to:



Have an active account on at least one social media platform.

Have stayed in a hotel within the last three years.





4. Measurement

All construct items were measured using a 5-point Likert scale:

1 = Strongly disagree2 = Disagree3 = Neutral4 = Agree5 = Strongly agree

The structural model was estimated using PLS-SEM with bootstrapping (5,000 subsamples).

All latent variables were modeled as reflective constructs.




5. File Structure



The Excel file contains two worksheets:


Sheet 1 – Dataset



Respondent_ID (anonymous identifier)

Sociodemographic variables (panel-provided)

Screening variables

Social media usage variables

Construct measurement items:

CGH1–CGH6 (Hotel-Generated Content)

CPI1–CPI4 (Perceived Information Quality)

eWOM1–eWOM4 (Engagement intentions)

ACT1–ACT4 (Brand Attitude)

BI1–BI3 (Booking Intention)


 

Sheet 2 – Codebook



Variable name

Description

Construct (if applicable)

Exact item wording (for survey items)

Measurement scale

Source reference





6. Variable Naming Convention



Construct items follow the structure:



HGC = Hotel-Generated Content

PIQ = Perceived Information Quality

eWOM = Engagement intentions

ACT = Brand Attitude

BI = Booking Intention


Demographic variables are standardized in English

No reverse-coded items are included.





7. Data Preparation

The dataset has been prepared for open access:



Panel identifiers removed.

Postal codes and province-level identifiers removed.

Duplicate demographic coding variables removed.

Respondent_ID added for anonymous referencing.

Variable names standardized.

Missing values preserved as in original dataset.


No transformations or statistical modifications have been applied beyond anonymization and structural cleaning.




8. Ethical Statement



Data collected exclusively for academic research purposes.

All responses are anonymous.

No personal identifying information is included.
DOI: 10.15468/dl.ytuf4t
title: Occurrence Download

description: A dataset containing 500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Eragrostis capensis",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 500 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007553-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/23x9yy
title: Gasteromycetes externi

description: Gasteromycetes externi
DOI: 10.5281/zenodo.18760568
title: Expertimental runs search results with mapped qrels
DOI: 10.5281/zenodo.18760569
title: Expertimental runs search results with mapped qrels
DOI: 10.5281/zenodo.18760597
title: MEASURESTOINCREASEENERGYEFFICIENCYOFBUILDINGSANDFACILITIES

description: Thisarticlestudiesthestateofenergyconsumptionintheenterpriseforelectricity,heat,gas,fuelandlubricants,ventilationandcompressedairsystems,buildingsandstructures,technologicalequipmentandauxiliarysystems;identifiesexistingtechnicalandcommerciallosses;compilesenergyconsumptionbalances;assessestheefficiencyofresourceuseanddevelopseconomicallysoundtechnicalsolutionsforenergysaving
DOI: 10.5281/zenodo.18760596
title: MEASURESTOINCREASEENERGYEFFICIENCYOFBUILDINGSANDFACILITIES

description: Thisarticlestudiesthestateofenergyconsumptionintheenterpriseforelectricity,heat,gas,fuelandlubricants,ventilationandcompressedairsystems,buildingsandstructures,technologicalequipmentandauxiliarysystems;identifiesexistingtechnicalandcommerciallosses;compilesenergyconsumptionbalances;assessestheefficiencyofresourceuseanddevelopseconomicallysoundtechnicalsolutionsforenergysaving
DOI: 10.15468/dl.yaub2c
title: Occurrence Download

description: A dataset containing 30107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation)",
 "Continent is North America",
 "Country is one of (United States of America, Canada)",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations)",
 "TaxonKey is Grus americana",
 "Year 2016-2026"
 ]
}

 The dataset includes 30107 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007554-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhessg
title: Occurrence Download

description: A dataset containing 19734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (South Africa, Namibia, Kenya, Tanzania, United Republic of, Botswana, Lesotho, Zimbabwe)",
 "OccurrenceStatus is Present",
 "TaxonKey is Oxyura maccoa"
 ]
}

 The dataset includes 19734 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007556-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.