cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dzn9c
title: CCDC 2233993: Experimental Crystal Structure Determination

description: Related Article: Carl Lundell, Michael Zdilla|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: 10.5281/zenodo.10492046
title: Methods for making fungal biodiversity data accessible: Linking open publications to public sequence archive sources for the MycoDiversity DataBase User Interface (MDDB-UI).

description: The primary data source for the creation and integration of data contained in Mycodiversity DataBse (MDDB) is available on Zenodo, DOI: 10.5281/zenodo.10492047, with the dataset title “Methods for making fungal biodiversity data accessible: Linking open publications to public sequence archive sources for the MycoDiversity DataBase User Interface (MDDB-UI).”, version 0.1.0.The dataset provides a definition of the annotation to associate the elements made available for MDDB User Interface. These relations are used for the sql-query construction for retrieving information based on fungal communities obtained from the public scientific domain. The dataset collection proves the reliability of the data based on the data provenance obtained from NCBI, ENA, SRA and Biosample dbs and the reliable standard names Geonames, Unite and ENVO.
DOI: 10.5281/zenodo.10492047
title: Methods for making fungal biodiversity data accessible: Linking open publications to public sequence archive sources for the MycoDiversity DataBase User Interface (MDDB-UI).

description: The primary data source for the creation and integration of data contained in Mycodiversity DataBse (MDDB) is available on Zenodo, DOI: 10.5281/zenodo.10492047, with the dataset title “Methods for making fungal biodiversity data accessible: Linking open publications to public sequence archive sources for the MycoDiversity DataBase User Interface (MDDB-UI).”, version 0.1.0.The dataset provides a definition of the annotation to associate the elements made available for MDDB User Interface. These relations are used for the sql-query construction for retrieving information based on fungal communities obtained from the public scientific domain. The dataset collection proves the reliability of the data based on the data provenance obtained from NCBI, ENA, SRA and Biosample dbs and the reliable standard names Geonames, Unite and ENVO.
DOI: 10.5281/zenodo.10566773
title: 31 empresas del sector de la biotecnología española

description: Esta base de datos es de 31 empresas del sector de la botecnología española.

Las variables de esta base de datos son: exploración, explotación y resultado innovador.
DOI: 10.5281/zenodo.10566774
title: Grandes empresas españolas de diferentes sectores con un alto nivel de inversión en I+D

description: Esta base de datos se ha creado a partir de The Spanish Technological Innovation Panel (PITEC). La investigación fue llevada a cabo por el Instituto español de estadística (INE), la Fundación española para la ciencia y tecnología (FECYT) y la Fundación para la Innovación Tecnológica (COTEC). Para crear esta base de datos se seleccionaron grandes empresas (más de 250 empleados y 50 millones de euros de facturación) y con un algo gasto en innovación (cinco millones de euros o más).

Las variables de esta base de datos son: Faciltadores de I+D, Barreras a la I+D, propiedad industrial, exploración, explotación y resultado innovador.
DOI: 10.5281/zenodo.10567035
title: 31 empresas del sector de la biotecnología española

description: Esta base de datos es de 31 empresas del sector de la botecnología española.

Las variables de esta base de datos son: exploración, explotación y resultado innovador.
DOI: 10.5281/zenodo.10566626
title: Incentives and mapping database on NOVASOIL D3.1 Report on mapping existing incentives for sustainable soil health business models

description: The provided database includes information about the incentives applied in different countries under the project NOVASOIL - Innovative business models for soil health. Moreover, it was estimated the influence of the applied incentives in selected farms on the their business model elements  using a modified Business Model Canvas. The analysis is presented in NOVASOIL's D3.1 "Report on mapping existing incentives for sustainable soil health business models".
DOI: 10.5281/zenodo.10566627
title: Incentives and mapping database on NOVASOIL D3.1 Report on mapping existing incentives for sustainable soil health business models

description: The provided database includes information about the incentives applied in different countries under the project NOVASOIL - Innovative business models for soil health. Moreover, it was estimated the influence of the applied incentives in selected farms on the their business model elements  using a modified Business Model Canvas. The analysis is presented in NOVASOIL's D3.1 "Report on mapping existing incentives for sustainable soil health business models".
DOI: 10.6084/m9.figshare.23741562.v1
title: Mahesswari

description: The LUNA 16, Kaggle Data Science Bowl (KDSB), Cancer Imaging Archive (CIA), and local datasets are used to train and test the proposed approach. Python and several well-known modules, including TensorFlow and Scikit-Learn, are used for the extensive experiment analysis.
DOI: 10.6084/m9.figshare.25019903
title: Single-cell integrative analysis reveals consensus cancer cell states and clinical relevance in breast cancer

description: High heterogeneity and complex interactions of malignant cells in breast cancer has been recognized as a driver of cancer progression and therapeutic failure. However, complete understanding of common cancer cell states and their underlying driver factors remain scarce and challenging. Here, we revealed seven consensus cancer cell states recurring cross patients by integrative analysis of single-cell RNA sequencing data of breast cancer. The distinct biological functions, the subtype-specific distribution, the potential cells of origin and the interrelation of consensus cancer cell states were systematically elucidated and validated in multiple independent datasets. We further uncovered the internal regulons and external cell components in tumor microenvironments, which contribute to the consensus cancer cell states. Using the state-specific signature, we also inferred the abundance of cells with each consensus cancer cell state by deconvolution of large breast cancer RNA-seq cohorts, revealing the association of immune-related state with better survival. Our study provides new insights for the cancer cell state composition and potential therapeutic strategies of breast cancer.
DOI: 10.6084/m9.figshare.25019903.v1
title: Single-cell integrative analysis reveals consensus cancer cell states and clinical relevance in breast cancer

description: High heterogeneity and complex interactions of malignant cells in breast cancer has been recognized as a driver of cancer progression and therapeutic failure. However, complete understanding of common cancer cell states and their underlying driver factors remain scarce and challenging. Here, we revealed seven consensus cancer cell states recurring cross patients by integrative analysis of single-cell RNA sequencing data of breast cancer. The distinct biological functions, the subtype-specific distribution, the potential cells of origin and the interrelation of consensus cancer cell states were systematically elucidated and validated in multiple independent datasets. We further uncovered the internal regulons and external cell components in tumor microenvironments, which contribute to the consensus cancer cell states. Using the state-specific signature, we also inferred the abundance of cells with each consensus cancer cell state by deconvolution of large breast cancer RNA-seq cohorts, revealing the association of immune-related state with better survival. Our study provides new insights for the cancer cell state composition and potential therapeutic strategies of breast cancer.
DOI: 10.25403/upresearchdata.25055411
title: <sup>The investigation of organisational factors influencing the adoption of digital government transformation in the Department of Agriculture, Land Reform and Rural Development</sup>

description: The dataset contains the "Interview questionnaire" that was used when conducting interviews with the identified participants. Upon completion of the interviews, the interview responses were transcribed individually. A "summary of the interview transcriptions" for all the participants were compiled in line with the research interview questions and themes. In addition, the individual responses of the participants were also captured on Atlas.ti to assist with the generation of the codes and themes. The Atlas.ti report outlining the codes and themes is attached as "Atlas-ti full report". The data also contains an excel spreadsheet which shows the frequencies on the responses provided by various participants. The spreadsheet is saved as "Data-sheet - Frequencies". Based on the frequencies, the bar charts were developed to reflect the responses and perceptions of the participants on various questions in line with the topic under research of digital transformation.
DOI: 10.25403/upresearchdata.25055411.v1
title: <sup>The investigation of organisational factors influencing the adoption of digital government transformation in the Department of Agriculture, Land Reform and Rural Development</sup>

description: The dataset contains the "Interview questionnaire" that was used when conducting interviews with the identified participants. Upon completion of the interviews, the interview responses were transcribed individually. A "summary of the interview transcriptions" for all the participants were compiled in line with the research interview questions and themes. In addition, the individual responses of the participants were also captured on Atlas.ti to assist with the generation of the codes and themes. The Atlas.ti report outlining the codes and themes is attached as "Atlas-ti full report". The data also contains an excel spreadsheet which shows the frequencies on the responses provided by various participants. The spreadsheet is saved as "Data-sheet - Frequencies". Based on the frequencies, the bar charts were developed to reflect the responses and perceptions of the participants on various questions in line with the topic under research of digital transformation.
DOI: 10.14272/bbnqqadtffcfgb-uhfffaoysa-n.1
title: 1,2,4-trihydroxyanthracene-9,10-dione
title: InChI=1S/C14H8O5/c15-8-5-9(16)14(19)11-10(8)12(17)6-3-1-2-4-7(6)13(11)18/h1-5,15-16,19H

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C14H8O5/c15-8-5-9(16)14(19)11-10(8)12(17)6-3-1-2-4-7(6)13(11)18/h1-5,15-16,19H, and canonical SMILES descriptor[cheminf_000007]: Oc1c(O)cc(c2c1C(=O)c1ccccc1C2=O)O, and by the IUPAC name[cheminf_000107]: 1,2,4-trihydroxyanthracene-9,10-dione.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-37832

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000599 | correlation spectroscopy (COSY)
 
 CHMO:0000604 | heteronuclear single quantum coherence (HSQC)
 
 CHMO:0000601 | heteronuclear multiple bond coherence (HMBC)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/bbnqqadtffcfgb-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (1,2,4-trihydroxyanthracene-9,10-dione)
title: InChI=1S/C14H8O5/c15-8-5-9(16)14(19)11-10(8)12(17)6-3-1-2-4-7(6)13(11)18/h1-5,15-16,19H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 1H NMR (400 MHz, DMSO-d6 [2.50 ppm], ppm) δ = 13.32 (s, 1H), 13.06 (s, 1H), 11.60 (s, 1H), 8.14 (s, 2H), 7.87 (s, 2H), 6.60 (s, 1H), 4.52 (s, 2H).
DOI: 10.14272/bbnqqadtffcfgb-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) (1,2,4-trihydroxyanthracene-9,10-dione)
title: InChI=1S/C14H8O5/c15-8-5-9(16)14(19)11-10(8)12(17)6-3-1-2-4-7(6)13(11)18/h1-5,15-16,19H

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.14272/bbnqqadtffcfgb-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (1,2,4-trihydroxyanthracene-9,10-dione)
title: InChI=1S/C14H8O5/c15-8-5-9(16)14(19)11-10(8)12(17)6-3-1-2-4-7(6)13(11)18/h1-5,15-16,19H

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/bbnqqadtffcfgb-uhfffaoysa-n/chmo0000599
title: correlation spectroscopy (COSY) (1,2,4-trihydroxyanthracene-9,10-dione)
title: InChI=1S/C14H8O5/c15-8-5-9(16)14(19)11-10(8)12(17)6-3-1-2-4-7(6)13(11)18/h1-5,15-16,19H

description: dataset for correlation spectroscopy (COSY)
DOI: 10.14272/bbnqqadtffcfgb-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (1,2,4-trihydroxyanthracene-9,10-dione)
title: InChI=1S/C14H8O5/c15-8-5-9(16)14(19)11-10(8)12(17)6-3-1-2-4-7(6)13(11)18/h1-5,15-16,19H

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 13C NMR (100 MHz, DMSO-d6 [39.5 ppm], ppm) δ = 186.6, 183.3, 160.4, 157.1, 149.3, 134.9, 134.1, 133.3, 132.5, 126.4, 126.2, 112.3, 109.6, 105.1.
DOI: 10.14272/bbnqqadtffcfgb-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (1,2,4-trihydroxyanthracene-9,10-dione)
title: InChI=1S/C14H8O5/c15-8-5-9(16)14(19)11-10(8)12(17)6-3-1-2-4-7(6)13(11)18/h1-5,15-16,19H

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/bbnqqadtffcfgb-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) (1,2,4-trihydroxyanthracene-9,10-dione)
title: InChI=1S/C14H8O5/c15-8-5-9(16)14(19)11-10(8)12(17)6-3-1-2-4-7(6)13(11)18/h1-5,15-16,19H

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.5281/zenodo.10567073
title: Nos_MeteoGalicia-GL Data-to-Text

description: MeteoGalicia-GL is the first known data-to-text dataset in Galician language. The dataset is made up of 3,033 records of meteorological prediction tabular data along with handwritten textual descriptions in Galician. All the data provided in this dataset have been collected from the Galician Official Meteorological Agency (MeteoGalicia). The dataset comprises real tabular data and texts written by expert meteorologists from MeteoGalicia. Additionally, the texts provided in MeteoGalicia-GL were cured by CiTIUS staff, in order to check the consistency of the data tables with the captions.

The dataset is stored in the "dataset" directory, where we can find individual files for each tabular data file and caption in their respective folders. The tabular data files contained in MeteoGalicia-GL represent the state-of-the-sky for a day in Galicia (NW Spain), by categorical values in Galician, e.g., "despexado" (“sunny”), "nubrado" (“cloudy”), etc. Each data table is organized into 4 columns and 32 rows. The first column ("Zona") indicates one out of the 32 geographical zones of Galicia for the forecast, while the rest of the columns indicate the state-of-the-sky value for the different periods of the day: morning ("Mañá"), afternoon ("Tarde") and night ("Noite").
DOI: 10.5281/zenodo.7661649
title: Nos_MeteoGalicia-GL Data-to-Text

description: MeteoGalicia-GL is the first known data-to-text dataset in Galician language. The dataset is made up of 3,033 records of meteorological prediction tabular data along with handwritten textual descriptions in Galician. All the data provided in this dataset have been collected from the Galician Official Meteorological Agency (MeteoGalicia). The dataset comprises real tabular data and texts written by expert meteorologists from MeteoGalicia. Additionally, the texts provided in MeteoGalicia-GL were cured by CiTIUS staff, in order to check the consistency of the data tables with the captions.

The dataset is stored in the "dataset" directory, where we can find individual files for each tabular data file and caption in their respective folders. The tabular data files contained in MeteoGalicia-GL represent the state-of-the-sky for a day in Galicia (NW Spain), by categorical values in Galician, e.g., "despexado" (“sunny”), "nubrado" (“cloudy”), etc. Each data table is organized into 4 columns and 32 rows. The first column ("Zona") indicates one out of the 32 geographical zones of Galicia for the forecast, while the rest of the columns indicate the state-of-the-sky value for the different periods of the day: morning ("Mañá"), afternoon ("Tarde") and night ("Noite").
DOI: 10.5281/zenodo.7661650
title: Nos_MeteoGalicia-GL Data-to-Text

description: MeteoGalicia-GL is the first known data-to-text dataset in Galician language. The dataset is made up of 3,302 records of meteorological prediction tabular data along with handwritten textual descriptions in Galician. All the data provided in this dataset have been collected from the Galician Official Meteorological Agency (MeteoGalicia). The dataset comprises real tabular data and texts written by expert meteorologists from MeteoGalicia. Additionally, the texts provided in MeteoGalicia-GL were cured by CiTIUS staff, in order to check the consistency of the data tables with the captions. The dataset is stored in the "dataset" directory, where we can find individual files for each tabular data file and caption in their respective folders. The tabular data files contained in MeteoGalicia-GL represent the state-of-the-sky for a day in Galicia (NW Spain), by categorical values in Galician, e.g., "despexado" (“sunny”), "nubrado" (“cloudy”), etc. Each data table is organized into 4 columns and 32 rows. The first column (<em>"Zona"</em>) indicates one out of the 32 geographical zones of Galicia for the forecast, while the rest of the columns indicate the state-of-the-sky value for the different periods of the day: morning (<em>"Mañá"</em>), afternoon (<em>"Tarde"</em>) and night (<em>"Noite"</em>).
DOI: 10.25392/leicester.data.22241338.v1
title: AMPERE R1/R2 FAC radii v2

description: Circle fits to the boundary between region 1 and 2 field-aligned currents measured by the Active Magnetosphere and Planetary Electrodynamics Response Experiment (AMPERE) in the northern and southern hemispheres.  Version 2 with newly processed AMPERE data and more years
DOI: 10.5281/zenodo.10566923
title: Configurations of paramagnetic point defects in tin doped silica glass

description: In this repository the following Sn-doped Silica paramagnetic configurations are given: 

i) 84 Sn-STE configurations of which 36 are from silica Model I (108 atoms) and       48 from silica Model II (144 atoms)  ii)   Sn-E' configurations (56 from Model I and 68 from Model II)  iii)  Sn-FO configurations  (8 from Model I and 12 from Model II)  These configurations have been used for the analysis as shown in Figs 2 and 4 of the paper:

L. Giacomazzi et al. 

"Identification of paramagnetic centers in irradiated Sn-doped silicon dioxide by first-principles" 

 to be published (2024).

Configurations are given using the .xsf (xcrysden) format for structure files   with positions and cell sides specified in angstrom. Trieste 25.1.2024Luigi Giacomazzi (CNR-IOM)  ------------------------------------------------------------------------------------ References  Silica Model I:  L. Martin-Samos  et al,  Phys. Rev. B 71, 014116 (2006)   https://journals.aps.org/prb/abstract/10.1103/PhysRevB.71.014116 Silica Model II: L. Giacomazzi et al, Phys. Rev. B 79, 064202 (2009)   https://journals.aps.org/prb/abstract/10.1103/PhysRevB.79.064202
DOI: 10.5281/zenodo.10566874
title: Investigation of serum elements and biochemical variables as a risk factor for female infertility
DOI: 10.5281/zenodo.10566875
title: Investigation of serum elements and biochemical variables as a risk factor for female infertility
DOI: 10.25829/gj9x-ez41
title: Atmospheric chemistry compounds across biodiversity gradients in MyDiv in 2021
DOI: 10.7910/dvn/rurvmf
title: Initial and final dataset of NPs

description: Initial and final dataset of NPs. The "all pulications" sheet is our initial dataset (non-deduplicated). The "publications used in manuscript" sheet is our finial dataset (deduplicated). The "removed publications" sheet is the metedata of publications not indexed in Dimensions.
DOI: 10.5281/zenodo.10531639
title: SORUNLARLA İSLAMİYET - HAYATIN İÇİNDEN FIKIH

description: SORUNLARLA İSLAMİYET - HAYATIN İÇİNDEN GERÇEK SORUNLARA İSLAMİ BAKIŞ AÇISIYLA FIKHİ ÇÖZÜMLER
DOI: 10.6084/m9.figshare.23741562
title: <b>Classification of Lung Cancer Computed Tomography Images</b>

description: The integrated intelligent system (ADBN-Optimized LightGBM) gives the best results among all input prediction models, taking performance criteria into account and boosting the system's effectiveness, hence enabling better lung cancer patient diagnosis by physicians and radiologists
DOI: 10.6084/m9.figshare.23741562.v2
title: <b>Classification of Lung Cancer Computed Tomography Images</b>

description: The integrated intelligent system (ADBN-Optimized LightGBM) gives the best results among all input prediction models, taking performance criteria into account and boosting the system's effectiveness, hence enabling better lung cancer patient diagnosis by physicians and radiologists
DOI: 10.2909/c6565c20-e49a-42d9-b709-267a613a708b
title: WISE statistics - pesticides (1990-2021), 2023

description: The WISE Statistics - pesticides tables are aggregated products used for the calculation of the annual Freshwater indicator „Pesticides in rivers, lakes and groundwater in Europe“, which is published on the EEA website. 

The data tables include pesticide concentration data aggregated by monitoring site and year (annual average). They were reported annually either in disaggregated or aggregated form via WISE-SoE reporting as part of the WISE-6 data flow. Moreover, the tables include data on effect thresholds for pesticides (e.g. Environmental Quality Standards, EQS) used for the calculation of the indicator. In addition, tables are provided with the underlying spatial data and with summary statistics (mean, SD, minimum, maximum and percentiles) of the reported pesticide concentrations per water body category (i.e. surface water, groundwater).