cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccr9z88
title: CCDC 694780: Experimental Crystal Structure Determination

description: Related Article: J.Ruiz, M.D.Villa, N.Cutillas, G.Lopez, C.de Haro, D.Bautista, V.Moreno, L.Valencia|2008|Inorg.Chem.|47|4490|doi:10.1021/ic701873b
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: 10.3535/r1j-a6b-p3f
title: Anthoxanthum odoratum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tr6-js1-l5d
title: Anthoxanthum alpinum Á. Löve & D. Löve

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z54-3s8-rvp
title: Anthoxanthum odoratum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5517/ccr9z99
title: CCDC 694781: Experimental Crystal Structure Determination

description: Related Article: J.Ruiz, M.D.Villa, N.Cutillas, G.Lopez, C.de Haro, D.Bautista, V.Moreno, L.Valencia|2008|Inorg.Chem.|47|4490|doi:10.1021/ic701873b
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: 10.3535/8yc-aab-hpw
title: Anthoxanthum odoratum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jaw-6eb-e49
title: Anthoxanthum odoratum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vbr-c8b-rqh
title: Anthoxanthum odoratum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5517/ccr9zbb
title: CCDC 694782: Experimental Crystal Structure Determination

description: Related Article: J.Ruiz, M.D.Villa, N.Cutillas, G.Lopez, C.de Haro, D.Bautista, V.Moreno, L.Valencia|2008|Inorg.Chem.|47|4490|doi:10.1021/ic701873b
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/ccr9zcc
title: CCDC 694783: Experimental Crystal Structure Determination

description: Related Article: J.Ruiz, M.D.Villa, N.Cutillas, G.Lopez, C.de Haro, D.Bautista, V.Moreno, L.Valencia|2008|Inorg.Chem.|47|4490|doi:10.1021/ic701873b
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: 10.3535/488-hxp-dx9
title: Anthoxanthum odoratum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ezb-p69-7kd
title: Anthoxanthum aristatum subsp. aristatum Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nwr-vh8-fqw
title: Anthoxanthum odoratum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5517/ccr9zdd
title: CCDC 694784: Experimental Crystal Structure Determination

description: Related Article: A.Venugopal, R.J.F.Berger, A.Willner, T.Pape, N.W.Mitzel|2008|Inorg.Chem.|47|4506|doi:10.1021/ic701701e
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: 10.3535/fbb-03k-day
title: Anthoxanthum odoratum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v34-25j-zav
title: Anthoxanthum odoratum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/v8n-prj-k5g
title: Anthoxanthum odoratum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5517/ccr9zff
title: CCDC 694785: Experimental Crystal Structure Determination

description: Related Article: A.Venugopal, R.J.F.Berger, A.Willner, T.Pape, N.W.Mitzel|2008|Inorg.Chem.|47|4506|doi:10.1021/ic701701e
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/ccr9zgg
title: CCDC 694786: Experimental Crystal Structure Determination

description: Related Article: A.Venugopal, R.J.F.Berger, A.Willner, T.Pape, N.W.Mitzel|2008|Inorg.Chem.|47|4506|doi:10.1021/ic701701e
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: 10.3535/5mf-nyz-nfs
title: Anthoxanthum odoratum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/abd-rnz-n59
title: Anthoxanthum odoratum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dfz-pdv-gy0
title: Anthoxanthum odoratum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5281/zenodo.14757418
title: Genbank Accession Numbers of Positive selection over the mitochondrial genome and its role in the diversification of gentoo penguins in response to adaptation in isolation

description: This dataset contains GenBank accession numbers for 58 mitogenome sequences obtained from Pygoscelis papua. Information on locality, isolate code and population variant is also included.
description: Although mitochondrial DNA has been widely used in phylogeography, evidence has emerged that factors such as climate, food availability, and environmental pressures that produce high levels of stress can exert a strong influence on mitochondrial genomes, to the point of promoting the persistence of certain genotypes in order to compensate for the metabolic requirements of the local environment. As recently discovered, the gentoo penguins (Pygoscelis papua) comprise four highly divergent lineages across their distribution spanning the Antarctic and sub-Antarctic regions. Gentoo penguins therefore represent a suitable animal model to study adaptive processes across divergent environments. Based on 62 mitogenomes that we obtained from nine locations spanning all four gentoo penguin lineages, we demonstrated lineage-specific nucleotide substitutions for various genes, but only lineage-specific amino acid replacements for the ND1 and ND5 protein-coding genes. Purifying selection (dN/dS < 1) is the main driving force in the protein-coding genes that shape the diversity of mitogenomes in gentoo penguins. Positive selection (dN/dS > 1) was mostly present in codons of the Complex I (NADH genes), supported by two different codon-based methods at the ND1 and ND4 in the most divergent lineages, the eastern gentoo penguin from Crozet and Marion Islands and the southern gentoo penguin from Antarctica respectively. Additionally, ND5 and ATP6 were under selection in the branches of the phylogeny involving all gentoo penguins except the eastern lineage. Our study suggests that local adaptation of gentoo penguins has emerged as a response to environmental variability promoting the fixation of mitochondrial haplotypes in a non-random manner. Mitogenome adaptation is thus likely to have been associated with gentoo penguin diversification across the Southern Ocean and to have promoted their survival in extreme environments such as Antarctica. Such selective processes on the mitochondrial genome may also be responsible for the discordance detected between nuclear- and mitochondrial-based phylogenies of gentoo penguin lineages.
description: This study is also funding by he PROANTAR, IPEV programs 137 ANTAVIA-ECOPHY and 354 ETHOTAAF and by the Spanish Research Agency (CGL2004-01348, CGL2007-60369, POL2006-06635 and CTM2015-64720-R)
DOI: 10.5281/zenodo.14757419
title: Genbank Accession Numbers of Positive selection over the mitochondrial genome and its role in the diversification of gentoo penguins in response to adaptation in isolation

description: This dataset contains GenBank accession numbers for 58 mitogenome sequences obtained from Pygoscelis papua. Information on locality, isolate code and population variant is also included.
description: Although mitochondrial DNA has been widely used in phylogeography, evidence has emerged that factors such as climate, food availability, and environmental pressures that produce high levels of stress can exert a strong influence on mitochondrial genomes, to the point of promoting the persistence of certain genotypes in order to compensate for the metabolic requirements of the local environment. As recently discovered, the gentoo penguins (Pygoscelis papua) comprise four highly divergent lineages across their distribution spanning the Antarctic and sub-Antarctic regions. Gentoo penguins therefore represent a suitable animal model to study adaptive processes across divergent environments. Based on 62 mitogenomes that we obtained from nine locations spanning all four gentoo penguin lineages, we demonstrated lineage-specific nucleotide substitutions for various genes, but only lineage-specific amino acid replacements for the ND1 and ND5 protein-coding genes. Purifying selection (dN/dS < 1) is the main driving force in the protein-coding genes that shape the diversity of mitogenomes in gentoo penguins. Positive selection (dN/dS > 1) was mostly present in codons of the Complex I (NADH genes), supported by two different codon-based methods at the ND1 and ND4 in the most divergent lineages, the eastern gentoo penguin from Crozet and Marion Islands and the southern gentoo penguin from Antarctica respectively. Additionally, ND5 and ATP6 were under selection in the branches of the phylogeny involving all gentoo penguins except the eastern lineage. Our study suggests that local adaptation of gentoo penguins has emerged as a response to environmental variability promoting the fixation of mitochondrial haplotypes in a non-random manner. Mitogenome adaptation is thus likely to have been associated with gentoo penguin diversification across the Southern Ocean and to have promoted their survival in extreme environments such as Antarctica. Such selective processes on the mitochondrial genome may also be responsible for the discordance detected between nuclear- and mitochondrial-based phylogenies of gentoo penguin lineages.
description: This study is also funding by he PROANTAR, IPEV programs 137 ANTAVIA-ECOPHY and 354 ETHOTAAF and by the Spanish Research Agency (CGL2004-01348, CGL2007-60369, POL2006-06635 and CTM2015-64720-R)
DOI: 10.18758/71021062
title: MEGAN-MOHYCAN global isoprene emissions accounting for space-based land cover changes [ALBERI dataset]

description: This dataset contains the monthly-averaged emissions of isoprene released by terrestrial vegetation at global scale, at 0.5°x0.5° resolution, between 2001 and 2018, calculated using the MEGAN-MOHYCAN model and taking into account land use/land cover change based on satellite data (Global Forest Watch and MODIS datasets). 
 
It is fully described in Opacka et al., Global and regional impacts of land cover changes on isoprene emissions derived from spaceborne data and the MEGAN model, Atmos. Chem. Phys., 21, 8413-8436, https://doi.org/10.5194/acp-21-8413-2021, 2021. 

Each year is in a NC file (size 12Mb) and a Zip file, containing all data, is provided too.
DOI: 10.17632/r444kmwmsy.1
title: Dataset on Large Language Models and GenAI Adoption Among Nigerian Teachers

description: Our dataset provides empirical insights into the adoption of Large Language Models (LLMs) and Generative AI (GenAI) in education, specifically examining Nigerian in-service teachers’ behavioural intentions (BI) to integrate ChatGPT into their instructional practices. The study adopts a hybrid analytical approach, combining Partial Least Squares Structural Equation Modelling (PLS-SEM) and Artificial Neural Networks (ANN) to explore both linear and nonlinear relationships among key adoption predictors. Guided by the Technology Acceptance Model (TAM), our research hypothesises that Perceived Ease of Use (PEU) and Perceived Usefulness (PUC) positively influence teachers' behavioural intentions, while Technology Anxiety (TA) and Privacy Issues (PIU) negatively impact adoption. Additionally, we investigate the role of Attitude Toward ChatGPT (ATC), Teachers’ Trust in ChatGPT (TTC), and peer influence (YCC) in shaping adoption behaviour.

Our findings from PLS-SEM indicate that PUC emerged as the strongest predictor of behavioural intention, suggesting that teachers are more likely to adopt ChatGPT if they perceive it as beneficial to their teaching. Conversely, TA significantly negatively influenced BI, highlighting that anxiety related to AI technology acts as a major barrier to adoption. Additionally, peer influence (YCC) was found to positively impact BI, reinforcing the importance of social support in facilitating technology adoption among educators. Although PEU had a weaker negative effect on BI in the PLS-SEM model, ANN results revealed a more complex picture, ranking PEU as the most important predictor, followed by ATC and PUC. This suggests that while usability concerns may appear less significant in a linear framework, they become crucial when considering nonlinear interactions.

The dataset can be used for multiple research applications, including AI adoption studies, predictive modelling using ANN, and comparative analyses across different educational contexts. Researchers can utilise it to examine the direct and indirect relationships influencing AI adoption, while policymakers and education stakeholders can derive actionable insights to design AI training programmes that emphasise usability and trust while addressing technology-related anxieties. Furthermore, this dataset provides a foundation for future cross-cultural studies on AI integration in resource-constrained educational environments, offering a benchmark for understanding teacher adoption behaviour and the broader implications of AI in education.
DOI: 10.17632/r2y638ppdw.1
title: International review of pediatric Patients with Pediatric Androgenetic Alopecia

description: Tables describing Investigations in pediatric patients with Androgenetic Alopecia and reported side effects of treatments for pediatric patients with Androgenetic Alopecia
DOI: 10.17632/gk3f363sfg.1
title: Process monitoring and weather datasets on farm-scale biogas digesters

description: Research Hypothesis:
This dataset supports the hypothesis that variations in process parameters and weather conditions significantly influence the efficiency and performance of farm-scale anaerobic biodigesters. It aims to establish correlations between external environmental factors and biodigester methane yield, stability, and overall functionality. The overall goal is to optimize livestock manure fed farm-scale digesters for maximum biogas and organic fertilizer production.

Data Overview:
The dataset consists of two key components:

Process Data – Includes parameters such as temperature, pH, hydraulic retention time (HRT), biogas production rate, methane content, and volatile solids reduction.
Weather Data – Covers ambient temperature, humidity, solar radiation, rainfall, and wind speed, as well as digester temperature collected at biodigester sites.
Data Collection Methodology:
Process monitoring data was gathered through on-site sensors, manual sampling, and lab analysis at regular intervals.
Weather data was obtained from on-farm weather sensors.
Notable Findings:
Significant seasonal variations were observed in biogas production, with lower yields during colder months.
Higher ambient temperatures correlated with increased methane content and overall efficiency.
Rainfall and excessive moisture impacted feedstock consistency and digestate quality.
Variability in organic loading rates (OLR) and temperature affected system stability, with optimum operating conditions were identified.
Interpretation and Use:
Researchers can analyze correlations between process efficiency and environmental factors.
Policymakers can use the findings to design climate-smart livestock production and biodigester policies.
Farmers and technicians can optimize operational parameters based on local weather conditions, energy needs and digester's operating parameters.
This dataset provides critical insights into how farm-scale anaerobic digestion systems respond to environmental conditions and operating conditions, supporting circular economy efforts to enhance biogas production efficiency, sustainably manage livestock waste, recycle nutrients and reduce greenhouse gas emissions.
DOI: 10.15468/dl.uhut6f
title: Occurrence Download

description: A dataset containing 12142287 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Pl@ntNet automatically identified occurrences"
 ]
}

 The dataset includes 12142287 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005341-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8z972c
title: Occurrence Download

description: A dataset containing 23553 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acacia mearnsii De Wild., Acacia mollissima E.Miège, Acacia decurrens var. mollis Ker Gawl., Acacia decurrens var. mollissima E.Miège, Racosperma mearnsii (De Wild.) Pedley)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 23553 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005361-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60555/kpmr-ae80
title: Shear History Extensional Rheology Experiment - Reflight
title: SHERE-R

description: SHERE-R is the reflight of the SHERE investigation (PSI-105). SHERE and SHERE-R provide complementary measurements for the same fluid without particles.

SHERE is designed to investigate the effect of preshearing (rotation) on the stress and strain response of a polymer fluid (a complex fluid containing long chains of polymer molecules) being stretched in microgravity. The fundamental understanding and measurement of the extensional rheology of complex fluids is important for understanding containerless processing, an important operation for fabrication of parts (such as adhesives or fillers) using elastomeric materials on future exploration missions. This knowledge can be applied to controlling and improving Earth-based manufacturing processes, as well.
DOI: 10.17632/ddbhv8dt3n.1
title: Integration of Game Elements in Biology Learning: A Constructivist Perspective

description: Research data on the Integration of Game Elements in Biology Learning: A Constructivist Perspective
DOI: 10.5281/zenodo.14773708
title: Nitrogen_Talladega_MS
DOI: 10.5281/zenodo.14773709
title: Nitrogen_Talladega_MS
DOI: 10.17632/9jz9wh5fj4.1
title: Acaricidal Activity and Toxic Mechanism of Origanum onites Plant Essential Oil and Its Constituent Carvacrol against Haemaphysalis doenitzi (Acari: Ixodidae)

description: Phylogenetic tree of HDABCE1 and their homologous ATP-binding cassette transporter proteins subfamily E.
DOI: 10.17632/mpbj5sdzp2.1
title: Carbon emissions through the weathering of petrogenic organic carbon and the net geological carbon budget of the Tibetan Plateau

description: Original dataset for "Carbon emissions through the weathering of petrogenic organic carbon and the net geological carbon budget of the Tibetan Plateau"
DOI: 10.17632/mpbj5sdzp2.3
title: Carbon emissions through the weathering of petrogenic organic carbon and the net geological carbon budget of the Tibetan Plateau

description: Original dataset and model for "Carbon emissions through the weathering of petrogenic organic carbon and the net geological carbon budget of the Tibetan Plateau"
DOI: 10.17632/2csgmp7md8
title: Supplementary data for article: "Human precision-cut intestinal slices as a new model for testing induction potency of drugs influencing the gene, protein or activity of P-glycoprotein (ABCB1)"

description: Supplementary data for article: "Human precision-cut intestinal slices as a new model for testing induction potency of drugs influencing the gene, protein or activity of P-glycoprotein (ABCB1)." In figure S1 is presented effect of increasing concentrations of rifampicin (RIF) on P-glycoprotein (ABCB1) mRNA levels in human precision-cut intestinal slices (hPCIS). Figure S2 contains information about quenching effect of RIF on the fluorescence of rhodamine123 in acetonitrile:water solution (2:1). Figure S3 and S4 present information about ABCB1 and Cytochrome P450 3A4 (CYP3A4) mRNA levels, respectively, over the course of 48 hours incubation in control and RIF-treated hPCIS. Last figure S5 demonstrates pregnane X receptor (PXR) (A) and retinoid X receptor alpha (RXRA) (B) mRNA levels over the course of 48 hours incubation in control hPCIS.
DOI: 10.15468/dl.c6csbj
title: Occurrence Download

description: A dataset containing 170372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Calidris canutus (Linnaeus, 1758)"
 ]
}

 The dataset includes 170372 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005347-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.