cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0802091.10fu
title: SH0802091.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0802092.10fu
title: SH0802092.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0802093.10fu
title: SH0802093.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0802094.10fu
title: SH0802094.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0802095.10fu
title: SH0802095.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0802096.10fu
title: SH0802096.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0802097.10fu
title: SH0802097.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0802098.10fu
title: SH0802098.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.d2bh7m
title: Occurrence Download

description: A dataset containing 57778 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Siparunaceae"
 ]
}

 The dataset includes 57778 records from 603 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077216-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.23573910
title: GlycoGenes Matrix: Drug-Induced Liver Cancer Cell RNA-seq Data of Glycogenes

description: Glycogenes from the RNA-seq data of drug-stimulated liver cancer cells. Pipeline processing and expression quantification of the assembled SRA data were conducted using ikra. GENCODE Human Release 31 (GRCh38.p12) was used as the reference genome. The SRR number of the SRA was specified and used to download the data from the archive site. The adapter sequences were then trimmed, read counts were performed, and normalization was carried out as scaled TPM data. SRA data were collected from 139 liver cancer cells, including controls, treated with various drugs, yielding a total of 86 data sets. In the public database, a total of 13 datasets were available for various liver cancer cell types stimulated with a range of substances, including drugs, inhibitors, and proteins.
DOI: 10.6084/m9.figshare.23573910.v1
title: GlycoGenes Matrix: Drug-Induced Liver Cancer Cell RNA-seq Data of Glycogenes

description: Glycogenes from the RNA-seq data of drug-stimulated liver cancer cells. Pipeline processing and expression quantification of the assembled SRA data were conducted using ikra. GENCODE Human Release 31 (GRCh38.p12) was used as the reference genome. The SRR number of the SRA was specified and used to download the data from the archive site. The adapter sequences were then trimmed, read counts were performed, and normalization was carried out as scaled TPM data. SRA data were collected from 139 liver cancer cells, including controls, treated with various drugs, yielding a total of 86 data sets. In the public database, a total of 13 datasets were available for various liver cancer cell types stimulated with a range of substances, including drugs, inhibitors, and proteins.
DOI: 10.20372/eiar-rdm/foyfup/maj4hm
title: Ashe_Pot trial Meskan row data.tab

description: :unav
DOI: 10.20372/eiar-rdm/foyfup/ujmlpr
title: Ashe_Pot trial Dore row data (1).tab

description: Cambisols trial row data
DOI: 10.20372/eiar-rdm/foyfup
title: Growth, Nitrogen Uptake of Maize (Zea mays L.) and Soil Chemical Properties, and Responses to Compost and Nitrogen Rates and Their Mixture on Different Textured Soils: Pot Experiment

description: Integrated nutrient management, which primarily involves the combined application of organic and inorganic nutrient sources, is one of the simplest approaches to handle declining soil fertility challenges and increase crop productivity and production. Keeping in view this fact, a pot experiment was conducted to evaluate the effects of compost and inorganic nitrogen fertilizer and their mixture on soil properties, growth, and nitrogen uptake of maize on loam and clay textured soils at the Awada Agricultural Research Subcenter. Treatments comprised factorial combinations of five compost rates (0, 5, 10, 15, and 20 t·ha−1) and four rates of inorganic nitrogen fertilizer (0, 46, 92, and 138 kg·N·ha−1 ) laid out as a completely randomized design with three replications. Results showed that both the main and interaction effects of compost and mineral N fertilizer rates significantly affected the selected soil chemical properties and yield, and nitrogen concentration of maize. &ere were significant associations between plant parameters and soil nitrogen contents. &e addition of 92 kg·ha−1 ·N + 10 t·ha−1 compost and 46 kg·ha−1 ·N + 10 t·ha−1 compost was the best treatments for loam and clay textured soils of the study areas, which improved shoot dry matter by 179.5 and 284.5%, compared to the unfertilized pot, respectively. From the results of this experiment, we concluded that the integrated application of compost and mineral nitrogen fertilizer enhanced soil chemical properties and thus improved nitrogen uptake and sustainable production of maize in the study areas.
DOI: 10.6084/m9.figshare.23573913
title: Metadata of RNA-Seq Data Samples from Drug-Stimulated Liver Cancer Cells

description: Metadata (e.g., each SRA project ID, SRR ID, cell type, treatment concentration, treatment time, and sequence library type) for the stimulated liver cancers.
DOI: 10.20372/eiar-rdm/myiojd/vvpj65
title: Ashe-field pdf.pdf

description: :unav
DOI: 10.20372/eiar-rdm/myiojd
title: Grain Yield and Nitrogen Uptake of Maize (Zea mays L.) as Affected by Soil Management Practices and Their Interaction on Cambisols and Chernozem

description: Published article
DOI: 10.21227/z95g-cn77
title: DeepPulmoTB: Powering Robust Segmentation of Tuberculosis Lesions in Chest Computerized Tomography (CT) with Rich Annotations

description: Tuberculosis (TB) remains a major global health problem with high incidence and mortality rates worldwide. In recent years, with the rapid development of computer-aided diagnosis (CAD) tools, CAD has played an increasingly important role in supporting tuberculosis diagnosis. However, the development of CAD for TB diagnosis relies heavily on well-annotated computerized tomography (CT) datasets. Unfortunately, the currently available annotations in TB CT datasets are still limited, which hinders the development of CAD tools for TB diagnosis to some extent. To overcome this limitation, we introduce DeepPulmoTB, a CT multi-category semantic segmentation dataset specifically designed for TB with rich annotations. DeepPulmoTB encompasses three vital segmentation mask categories in TB diagnosis: consolidations, lung cavities, and both lungs. Furthermore, the annotations in DeepPulmoTB undergo meticulous review by professional physicians to ensure their high quality and reliability.
DOI: 10.21227/dhh7-pv80
title: DeepPulmoTB: Powering Robust Segmentation of Tuberculosis Lesions in Chest Computerized Tomography (CT) with Rich Annotations

description: Tuberculosis (TB) remains a major global health problem with high incidence and mortality rates worldwide. In recent years, with the rapid development of computer-aided diagnosis (CAD) tools, CAD has played an increasingly important role in supporting tuberculosis diagnosis. However, the development of CAD for TB diagnosis relies heavily on well-annotated computerized tomography (CT) datasets. Unfortunately, the currently available annotations in TB CT datasets are still limited, which hinders the development of CAD tools for TB diagnosis to some extent. To overcome this limitation, we introduce DeepPulmoTB, a CT multi-category semantic segmentation dataset specifically designed for TB with rich annotations. DeepPulmoTB encompasses three vital segmentation mask categories in TB diagnosis: consolidations, lung cavities, and both lungs. Furthermore, the annotations in DeepPulmoTB undergo meticulous review by professional physicians to ensure their high quality and reliability.
DOI: 10.6084/m9.figshare.23573871
title: Whole Gene Matrix: Drug-Induced Liver Cancer Cell RNA-seq Data of All Genes

description: All genes from the RNA-seq data of drug-stimulated liver cancer cells. Pipeline processing and expression quantification of the assembled SRA data were conducted using ikra. GENCODE Human Release 31 (GRCh38.p12) was used as the reference genome. The SRR number of the SRA was specified and used to download the data from the archive site. The adapter sequences were then trimmed, read counts were performed, and normalization was carried out as scaled TPM data. SRA data were collected from 139 liver cancer cells, including controls, treated with various drugs, yielding a total of 86 data sets. In the public database, a total of 13 datasets were available for various liver cancer cell types stimulated with a range of substances, including drugs, inhibitors, and proteins.
DOI: 10.6084/m9.figshare.23573871.v1
title: Whole Gene Matrix: Drug-Induced Liver Cancer Cell RNA-seq Data of All Genes

description: All genes from the RNA-seq data of drug-stimulated liver cancer cells. Pipeline processing and expression quantification of the assembled SRA data were conducted using ikra. GENCODE Human Release 31 (GRCh38.p12) was used as the reference genome. The SRR number of the SRA was specified and used to download the data from the archive site. The adapter sequences were then trimmed, read counts were performed, and normalization was carried out as scaled TPM data. SRA data were collected from 139 liver cancer cells, including controls, treated with various drugs, yielding a total of 86 data sets. In the public database, a total of 13 datasets were available for various liver cancer cell types stimulated with a range of substances, including drugs, inhibitors, and proteins.
DOI: 10.15151/esrf-es-1118695152
title: Belgian BAG

description: The BAG includes groups situated at four Flemish universities: Antwerp, Brussels, Ghent and Leuven. Several of these groups are part of the elite Flemish Institute of Biotechnology (VIB). The proposed projects are highly diverse, including viral, prokaryotic and eukaryotic proteins with a strong focus on targets and processes of biomedical relevance. Many projects deal with membrane proteins, cell surface receptors and protein-protein complexes. Central to the research in the BAG associated groups is the employment of integrative methods in structural biology combining X-ray crystallography, SAXS, and cryo-electron microscopy. Many crystals in the various proposed projects are small in size and radiation sensitive, requiring the use of the high brilliance MX beam lines, preferably with micro-focused X-rays. This is a continuation of a previous Belgian BAG which has resulted in numerous top-tier publications.
DOI: 10.15151/esrf-es-1259385358
title: Structural characterization of Silver complexes based on ester derivatives of bis(pyrazol-1-yl)acetate ligands

description: This projects aims to elucidate the local structure on a series of Silver and Copper complexes based on ester derivatives of bis(pyrazol-1-yl)acetate ligands and stabilized with tri-n-butylphosphine or 1,3,5-triaza-7-phosphaadamantane ligands. These complexes are promising candidates in the field of biomedicine and specifically in cancer treatment. Previous data acquired on different cancerous cell lines proved the effectiveness of the treatment, inducing paraptotic cell death and showing higher citotoxicity that the reference metallodrug cisplatin. In this context our group aims to study the local coordination in these Silver complexes in view of a future application as both standalone drugs and/or in pairing with a drug delivery vector such as gold nanoparticles and nanorods.
DOI: 10.15151/esrf-es-1207223896
title: Crystal chemistry of phases forming super-Earth mantles

description: Pressures and temperatures in extraterrestrial rocky planets can reach up to 4 TPa and up to 9000 K, conditions that are hardly accessible with current experimental methods. This limitation leads to the problem of finding appropriate proxy compounds for high-pressure minerals. Therefore the ultimate goal of this proposal is reveal the role of iron oxides as structural prototypes for high-pressure silicates at pressure up to 200 GPa and temperatures up to 3000 K. We are going to synthesize iron silicates at these conditions, determine their crystal structure and compressional behavior, and characterize the oxidation and spin state of iron atoms.
DOI: 10.6084/m9.figshare.23938590
title: A high-quality chromosome-level wild rice genome of <i>Oryza coarctata</i>.

description: <i>Oryza coarctata</i> (2n=4X=48, KKLL) is an allotetraploid, undomesticated relative of rice and the only species in the genus <i>Oryza</i> with tolerance to high salinity and submergence. Therefore, it contains important stress and tolerance genes/factors for rice. The initial draft genome published was limited by data and technical restrictions, leading to an incomplete and highly fragmented assembly. This study reports a new, highly contiguous chromosome-level genome assembly and annotation of <i>O. coarctata</i>. PacBio high-quality HiFi reads generated 460 contigs with a total length of 573.4 Mb and an N50 of 23.1 Mb, which were assembled into scaffolds with Hi-C data, anchoring 96.99% of the assembly onto 24 chromosomes. The genome assembly comprises 45,571 genes, and repetitive content contributes 25.5% of the genome. This study provides the novel identification of the KK and LL genome types of the genus <i>Oryza</i>, leading to valuable insights into rice genome evolution. The chromosome-level genome assembly of <i>O. coarctata </i>is a valuable resource for rice research and molecular breeding.
DOI: 10.18712/nsd-nsd1034-v1
title: The Public in Focus

description: This dataset was used in an evaluation of Norsk Folkemuseum's audience offering. The aim was to divide the audience/population into different target groups, to better tailor the museum's offerings.

The background for the project was that Norsk Folkemuseum needed more knowledge about the audience, target groups and response to the existing offerings.
Four target groups were constructed based on social, economic and cultural background. The project also attempted to place Norsk Folkemuseum in the museum landscape in terms of who visits which museum. Furthermore, it sought to evaluate the existing offerings.

The main findings were that Norsk Folkemuseum has a diverse and multifaceted audience, and that most associate the museum with old brown houses.
DOI: 10.21335/nmdc-1663991306-2018707
title: Elemental concentration measurements (Na, Mg, Si, P, S, K, Ca, Mn, Fe, Zn) of particulate matter using XRF (X-ray fluorescence) analysis during Nansen Legacy Cruise 2018707

description: This dataset is a collection of elemental concentration measurements (Na, Mg, Si, P, S, K, Ca, Mn, Fe, Zn) of particulate matter using XRF (X-ray fluorescence) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2018 Joint Cruise 1-2' cruise (2018707; from August 6th to 23rd in 2018). The data are collected from a CTD-rosette with Niskin bottles from stations located in the Northern Barents Sea.
DOI: 10.21335/nmdc-1663991306-2019706
title: Elemental concentration measurements (Na, Mg, Si, P, S, K, Ca, Mn, Fe, Zn) of particulate matter using XRF (X-ray fluorescence) analysis during Nansen Legacy Cruise 2019706

description: This dataset is a collection of elemental concentration measurements (Na, Mg, Si, P, S, K, Ca, Mn, Fe) of particulate matter using XRF (X-ray fluorescence) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706; from August 5th to 27th in 2019). The data are collected from a CTD-rosette with Niskin bottles from stations located in the Northern Barents Sea.