cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14208259
title: Global Silicon Wafer Market 2024 to 2033

description: Silicon Wafer Market Size, Trends and Insights By Wafer Size (Less than 150 mm, 200 mm, 300 mm, 450 mm), By Application (Consumer Electronics, Automotive, Industrial, Telecommunications, Solar Cells), By Node Type (180 nm, 130 nm, 90 nm, 65 nm, 45 nm, 22 nm, 14 nm, 7 nm, 5 nm and below), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033

Reports Description

The CMI Team’s most recent market research predicts that from 2024 to 2033, the global silicon wafer market will grow at a CAGR of 6.3%. In 2024, the market size is projected to reach a valuation of USD 20 Billion. By 2033, the valuation is anticipated to reach USD 34 Billion.

Excellent optimism surrounds the growth of this silicon wafer market, as one can witness an ever-increasing pattern in coming years. This is simply because demand for semiconductors will see an uprising in areas related to consumer electronics, automobiles, renewable energy, and many other advanced technologies, such as 5G and electric vehicles with an extremely high-performance requirement of silicon wafers.

Manufacturers are now shifting to larger wafer sizes like 300 mm and 450 mm for better efficiency and cost-effectiveness in production. Furthermore, investments in research and development are continually being made, which results in better manufacturing processes and higher-quality wafers.

As industries continue to innovate and integrate more electronic components into their products, the silicon wafer market is expected to grow rapidly. Overall, growth in the market is expected to be strong enough to provide opportunities for enhancements in production capacity for firms that can meet the evolving needs of consumers and commercial users.

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DOI: 10.5281/zenodo.14208260
title: TASHQI IQTISODIY FAOLIYAT TASHKILIY-HUQUQIY ASOSLARINI TAKOMILLASHTIRISH
DOI: 10.5281/zenodo.14208261
title: TASHQI IQTISODIY FAOLIYAT TASHKILIY-HUQUQIY ASOSLARINI TAKOMILLASHTIRISH
DOI: 10.15468/dl.k22ar9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Odonata Central"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029496-241107131044228/datasets/export for details.
DOI: 10.5281/zenodo.14208265
title: DISTINCTIVE FEATURES OF THE WEDDING MOTIF IN ABDULLA QAHHOR'S NOVEL "SAROB"
DOI: 10.5281/zenodo.14208266
title: DISTINCTIVE FEATURES OF THE WEDDING MOTIF IN ABDULLA QAHHOR'S NOVEL "SAROB"
DOI: 10.15468/dl.h8xwbx
title: Occurrence Download

description: A dataset containing 3144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Leonotis nepetifolia (L.) R.Br."
 ]
}

 The dataset includes 3144 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029498-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14207237
title: Dataset from Rummel et al.: "Spatially resolved salt intrusion mechanisms in a tidal estuary and the impact of channel deepening" - Part 2

description: Model data from the numerical setup of the Weser River Estuary used in Rummel et al. (submitted to JGR: Oceans): "Spatially resolved salt intrusion mechanisms in a tidal estuary and the impact of channel deepening" - Part 2.

The dates in the file names are connected to specific model runs and do not explain the modelled time period.

This dataset contains daily averaged 3D model output for the entire year 2016 of the whole model domain with the original, not dredged topography.
DOI: 10.5281/zenodo.14207238
title: Dataset from Rummel et al.: "Spatially resolved salt intrusion mechanisms in a tidal estuary and the impact of channel deepening" - Part 2

description: Model data from the numerical setup of the Weser River Estuary used in Rummel et al. (submitted to JGR: Oceans): "Spatially resolved salt intrusion mechanisms in a tidal estuary and the impact of channel deepening" - Part 2.

The dates in the file names are connected to specific model runs and do not explain the modelled time period.

This dataset contains daily averaged 3D model output for the entire year 2016 of the whole model domain with the original, not dredged topography.
DOI: 10.5281/zenodo.14208269
title: CLINICAL AND LABORATORY FEATURES OF CHRONIC VIRAL HEPATITIS B, EFFECTIVENESS OF ETIOTROPIC THERAPY
DOI: 10.5281/zenodo.14208270
title: CLINICAL AND LABORATORY FEATURES OF CHRONIC VIRAL HEPATITIS B, EFFECTIVENESS OF ETIOTROPIC THERAPY
DOI: 10.5281/zenodo.14208271
title: PRAGMATIC ASPECTS OF COMPLEX SYNTACTIC CONSTRUCTIONS (BASED ON THE MATERIALS OF ENGLISH AND UZBEK LANGUAGES)
DOI: 10.5281/zenodo.14208272
title: PRAGMATIC ASPECTS OF COMPLEX SYNTACTIC CONSTRUCTIONS (BASED ON THE MATERIALS OF ENGLISH AND UZBEK LANGUAGES)
DOI: 10.6084/m9.figshare.25206725.v1
title: Comparative male ornament and female preference data and genomic information for 149 Drosophila species

description: Sperm length and female seminal receptacle length data for 149 Drosophila species; significant variants for genome-wide association study of sperm length and seminal receptacle length in Drosophila melanogaster; genomic data on sperm length evolution
DOI: 10.6084/m9.figshare.25206725
title: Comparative male ornament and female preference data and genomic information for 149 Drosophila species

description: Sperm length and female seminal receptacle length data for 149 Drosophila species; significant variants for genome-wide association study of sperm length and seminal receptacle length in Drosophila melanogaster; genomic data on sperm length evolution
DOI: 10.6084/m9.figshare.25113251.v1
title: Raw data

description: Raw data for "Parameterization and quantification of two key operando physio-chemical descriptors for water-assisted electro-catalytic organic oxidation"
DOI: 10.6084/m9.figshare.25113251
title: Raw data

description: Raw data for "Parameterization and quantification of two key operando physio-chemical descriptors for water-assisted electro-catalytic organic oxidation"
DOI: 10.6084/m9.figshare.25828888
title: source data

description: source data
DOI: 10.6084/m9.figshare.25828888.v1
title: source data

description: source data
DOI: 10.6084/m9.figshare.27262557
title: Lysosomal “TRAP”: a neotype modality for clearance of viruses and variants

description: The binding of viruses to host-entry factor receptors is an essential step for viral infection. Many studies have shown that macrophages can internalize viruses and degrade them in lysosomes for clearance in vivo. Inspired by these natural behaviors and using SARS-CoV-2 as a testbed, we harvest lysosomes from activated macrophages and anchor the protein-receptor ACE2 as bait, thus constructing a lysosomal "TRAP" (lysoTRAP) that selectively captures, internalizes, and eventually degrades SARS-CoV-2. Through experiments with cells, mice, hamsters, and human lung organoids, we demonstrate that lysoTRAP effectively clears SARS-CoV-2. Importantly, unlike therapeutic agents targeting SARS-CoV-2 spike protein, lysoTRAP remains effective against nine pseudotyped variants and the authentic Omicron variant, demonstrating its resistance to SARS-CoV-2 mutations. In addition to the protein-receptor ACE2, we also extend lysoTRAP with the saccharide-receptor sialic acid and verify its excellent antiviral effect against H1N1, highlighting the flexibility of our “TRAP” platform in fighting against various viruses.
DOI: 10.6084/m9.figshare.27262557.v1
title: Lysosomal “TRAP”: a neotype modality for clearance of viruses and variants

description: The binding of viruses to host-entry factor receptors is an essential step for viral infection. Many studies have shown that macrophages can internalize viruses and degrade them in lysosomes for clearance in vivo. Inspired by these natural behaviors and using SARS-CoV-2 as a testbed, we harvest lysosomes from activated macrophages and anchor the protein-receptor ACE2 as bait, thus constructing a lysosomal "TRAP" (lysoTRAP) that selectively captures, internalizes, and eventually degrades SARS-CoV-2. Through experiments with cells, mice, hamsters, and human lung organoids, we demonstrate that lysoTRAP effectively clears SARS-CoV-2. Importantly, unlike therapeutic agents targeting SARS-CoV-2 spike protein, lysoTRAP remains effective against nine pseudotyped variants and the authentic Omicron variant, demonstrating its resistance to SARS-CoV-2 mutations. In addition to the protein-receptor ACE2, we also extend lysoTRAP with the saccharide-receptor sialic acid and verify its excellent antiviral effect against H1N1, highlighting the flexibility of our “TRAP” platform in fighting against various viruses.
DOI: 10.5281/zenodo.14208277
title: O`ZBEKISTONDA AUDITORLIK FIRMALARI ICHKI STANDARTLARINI TAKOMILLASHTIRISH
DOI: 10.5281/zenodo.14208278
title: O`ZBEKISTONDA AUDITORLIK FIRMALARI ICHKI STANDARTLARINI TAKOMILLASHTIRISH
DOI: 10.15468/dl.sz4geb
title: Occurrence Download

description: A dataset containing 1575 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird ringing data from Budongo Forest Reserve, Western Uganda"
 ]
}

 The dataset includes 1575 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029500-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14208283
title: GLOBAL SUPPLY CHAIN RESILIENCE: IMPLICATIONS FOR US TRADE POLICY AND NATIONAL SECURITY
DOI: 10.5281/zenodo.14208284
title: GLOBAL SUPPLY CHAIN RESILIENCE: IMPLICATIONS FOR US TRADE POLICY AND NATIONAL SECURITY
DOI: 10.6084/m9.figshare.27894332
title: Additional file 1 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 1: Table S1. TCGA cancer type assigned to DepMap disease types.
DOI: 10.6084/m9.figshare.27894332.v1
title: Additional file 1 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 1: Table S1. TCGA cancer type assigned to DepMap disease types.
DOI: 10.6084/m9.figshare.27894335
title: Additional file 2 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 2: Table S2. WRN KO and WRN inhibitor treatment validated cell lines. A. List of DepMap cell lines previously for WRN survival dependence using WRN KO assays. DepMap_ID: DepMap cell line id. Cell_line_name: Name of cell line. Author: name of publication WRN KO assay was performed in. WRN_dependence: outcome of WRN KO (TRUE indicates that WRN was essential for survival and FALSE indicates that it was not). B. Mutations found in MMR genes and KMT2D in cell lines in A. C-D. Shows a list of DepMap cell lines (C) and their MMR gene and KMT2D (D) mutations treated with WRN inhibitors.
DOI: 10.6084/m9.figshare.27894335.v1
title: Additional file 2 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 2: Table S2. WRN KO and WRN inhibitor treatment validated cell lines. A. List of DepMap cell lines previously for WRN survival dependence using WRN KO assays. DepMap_ID: DepMap cell line id. Cell_line_name: Name of cell line. Author: name of publication WRN KO assay was performed in. WRN_dependence: outcome of WRN KO (TRUE indicates that WRN was essential for survival and FALSE indicates that it was not). B. Mutations found in MMR genes and KMT2D in cell lines in A. C-D. Shows a list of DepMap cell lines (C) and their MMR gene and KMT2D (D) mutations treated with WRN inhibitors.
DOI: 10.6084/m9.figshare.27894338
title: Additional file 3 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 3: Table S3. KMT2D essentiality network results. A. Ranked list of genes in the KMT2D essentiality network. GeneName: hugo gene symbol. GeneNameID: hugo gene symbol separated by NCBI gene id. Estimate: Pearson’s correlation coefficient. P.value: p-value derived from Pearson’s correlation test. Perm.adj.p.value: p-values corrected for multiple testing using permutation tests with 100,000 random sampling. Rank: rank in list determined by order of estimate. Candidate_inflection: TRUE if a gene’s Pearson’s correlation coefficient is past the inflection point of the positive/negative curve (see Methods). Chr: chromosome location of gene. Gene_start_bp: a gene’s start position. Gene_end_bp: a gene’s end position. Karyotype_band: the karyotype band in which the gene is found. B. Enriched GO biological processes found among co-/anti-essential genes. Results are outputs from ClusterProfiler. C. Clustered GO terms of co-essential genes.
DOI: 10.6084/m9.figshare.27894338.v1
title: Additional file 3 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 3: Table S3. KMT2D essentiality network results. A. Ranked list of genes in the KMT2D essentiality network. GeneName: hugo gene symbol. GeneNameID: hugo gene symbol separated by NCBI gene id. Estimate: Pearson’s correlation coefficient. P.value: p-value derived from Pearson’s correlation test. Perm.adj.p.value: p-values corrected for multiple testing using permutation tests with 100,000 random sampling. Rank: rank in list determined by order of estimate. Candidate_inflection: TRUE if a gene’s Pearson’s correlation coefficient is past the inflection point of the positive/negative curve (see Methods). Chr: chromosome location of gene. Gene_start_bp: a gene’s start position. Gene_end_bp: a gene’s end position. Karyotype_band: the karyotype band in which the gene is found. B. Enriched GO biological processes found among co-/anti-essential genes. Results are outputs from ClusterProfiler. C. Clustered GO terms of co-essential genes.
DOI: 10.6084/m9.figshare.27894341
title: Additional file 4 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 4: Table S4. KMT2D ChIP-MS results. A. KMT2D ChIP-MS detected proteins. Accession: uniprot id. Gene: hugo gene symbol. LogFC_HL_kmt2d_R1KO1: log10 fold change (heavy isotope/light isotope) of replicate 1 of HEK-KMT2DKO1. LogFC_HL_kmt2d_R2KO1: log10 fold change (heavy isotope/light isotope) of replicate 2 of HEK-KMT2DKO1. LogFC_HL_kmt2d_R1KO3: log10 fold change (heavy isotope/light isotope) of replicate 1 of HEK-KMT2DKO3. LogFC_HL_kmt2d_R2KO3: log10 fold change (heavy isotope/light isotope) of replicate 2 of HEK-KMT2DKO3. Num_reps_with_peptides: number of replicates with peptides detected. B. Enriched GO biological processes found among detected proteins. Results are outputs from ClusterProfiler. C. Clustered GO terms. D. A list of KMT2D interactors that overlap with KMT2D co-/anti-essential genes.
DOI: 10.6084/m9.figshare.27894341.v1
title: Additional file 4 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 4: Table S4. KMT2D ChIP-MS results. A. KMT2D ChIP-MS detected proteins. Accession: uniprot id. Gene: hugo gene symbol. LogFC_HL_kmt2d_R1KO1: log10 fold change (heavy isotope/light isotope) of replicate 1 of HEK-KMT2DKO1. LogFC_HL_kmt2d_R2KO1: log10 fold change (heavy isotope/light isotope) of replicate 2 of HEK-KMT2DKO1. LogFC_HL_kmt2d_R1KO3: log10 fold change (heavy isotope/light isotope) of replicate 1 of HEK-KMT2DKO3. LogFC_HL_kmt2d_R2KO3: log10 fold change (heavy isotope/light isotope) of replicate 2 of HEK-KMT2DKO3. Num_reps_with_peptides: number of replicates with peptides detected. B. Enriched GO biological processes found among detected proteins. Results are outputs from ClusterProfiler. C. Clustered GO terms. D. A list of KMT2D interactors that overlap with KMT2D co-/anti-essential genes.
DOI: 10.6084/m9.figshare.27894347
title: Additional file 6 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 6: Table S5. Results GI predictions using GRETTA. A. List of DepMap cancer cell lines by KMT2DWT/KMT2DLOF genotypes and cancer type. DepMap_ID: DepMap cancer cell lines IDs. stripped_cell_line_name: cell line names provided by DepMap without special characters or spaces. disease: cancer type assigned by DepMap. disease_subtype: cancer subtype assigned by Depmap. TCGA_type: matched TCGA cancer type abbreviation (see Methods for details). Total_mutations: total number of mutations detected (LOF and non-LOF). LOF_mutations: number of LOF SNVs and insertion deletions detected (see Methods). CN_status: copy number status. Group: KMT2D group assigned (Control refers to the KMT2DWT group). B. All KMT2D GI prediction results by cancer context. Cancer type context: cancer context KMT2D GI screens were performed in. GeneNameID: hugo gene name with Entrez gene ID. GeneNames: gene name without Entrez gene ID. Control_median: median lethality probability of KMT2DWT cell line group. Mutant_median: median of KMT2DLOF group lethality probabilities. Control_sd: standard deviation of KMT2DWT lethality probabilities. Mutant_sd: standard deviation of KMT2DLOF lethality probabilities. Pval: uncorrected Mann Whitney U-test p-values comparing KMT2DWT and KMT2DWT lethality probabilities. log2FC_by_median: log2-transformed fold change of KMT2DLOF over KMT2DWT lethality probabilities. Interaction_score: GI interaction score for visualisation (see Methods). Adj_pval: Mann Whitney U-test p-values adjusted for multiple testing using permutation test with 10,000 random samplings. GI_direction: whether a GI is alleviating (AL) or synthetic lethal (SL). C. Prioritisation classification assigned to significant GIs (GI prediction tiers I, II, and III). First 17 column names are the same as A. Drug group: drug tractability group assigned to GI. Priority_class: priority class assigned to GI.
DOI: 10.6084/m9.figshare.27894347.v1
title: Additional file 6 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 6: Table S5. Results GI predictions using GRETTA. A. List of DepMap cancer cell lines by KMT2DWT/KMT2DLOF genotypes and cancer type. DepMap_ID: DepMap cancer cell lines IDs. stripped_cell_line_name: cell line names provided by DepMap without special characters or spaces. disease: cancer type assigned by DepMap. disease_subtype: cancer subtype assigned by Depmap. TCGA_type: matched TCGA cancer type abbreviation (see Methods for details). Total_mutations: total number of mutations detected (LOF and non-LOF). LOF_mutations: number of LOF SNVs and insertion deletions detected (see Methods). CN_status: copy number status. Group: KMT2D group assigned (Control refers to the KMT2DWT group). B. All KMT2D GI prediction results by cancer context. Cancer type context: cancer context KMT2D GI screens were performed in. GeneNameID: hugo gene name with Entrez gene ID. GeneNames: gene name without Entrez gene ID. Control_median: median lethality probability of KMT2DWT cell line group. Mutant_median: median of KMT2DLOF group lethality probabilities. Control_sd: standard deviation of KMT2DWT lethality probabilities. Mutant_sd: standard deviation of KMT2DLOF lethality probabilities. Pval: uncorrected Mann Whitney U-test p-values comparing KMT2DWT and KMT2DWT lethality probabilities. log2FC_by_median: log2-transformed fold change of KMT2DLOF over KMT2DWT lethality probabilities. Interaction_score: GI interaction score for visualisation (see Methods). Adj_pval: Mann Whitney U-test p-values adjusted for multiple testing using permutation test with 10,000 random samplings. GI_direction: whether a GI is alleviating (AL) or synthetic lethal (SL). C. Prioritisation classification assigned to significant GIs (GI prediction tiers I, II, and III). First 17 column names are the same as A. Drug group: drug tractability group assigned to GI. Priority_class: priority class assigned to GI.
DOI: 10.6084/m9.figshare.27894350
title: Additional file 7 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 7: Table S6. Expression of NDUFB5, PER2, and PER2-downstream targets in TCGA-STAD cases. A. TCGA-STAD cohort NDUFB5, PER2, and PER2-target gene expression. tpm: transcript per million (see Methods section).
DOI: 10.6084/m9.figshare.27894350.v1
title: Additional file 7 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 7: Table S6. Expression of NDUFB5, PER2, and PER2-downstream targets in TCGA-STAD cases. A. TCGA-STAD cohort NDUFB5, PER2, and PER2-target gene expression. tpm: transcript per million (see Methods section).
DOI: 10.6084/m9.figshare.27894353
title: Additional file 8 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 8: Table S7. Expression of MDM2, TP53, and TP53-downstream targets in TCGA-COAD/READ cases. A. TCGA-COAD/READ cohort KMT2D and TP53 mutations and expression of MDM2, TP53, and TP53-downstream targets. mut: WT, LOF, or Other mutation called. cn: copy number status, tpm: transcript per million.
DOI: 10.6084/m9.figshare.27894353.v1
title: Additional file 8 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 8: Table S7. Expression of MDM2, TP53, and TP53-downstream targets in TCGA-COAD/READ cases. A. TCGA-COAD/READ cohort KMT2D and TP53 mutations and expression of MDM2, TP53, and TP53-downstream targets. mut: WT, LOF, or Other mutation called. cn: copy number status, tpm: transcript per million.
DOI: 10.6084/m9.figshare.27894356
title: Additional file 9 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 9: Table S8. Profiles of KMT2D mutations and immune markers in TCGA-COAD/READ cases. A. TCGA-COAD/READ clinical data and immune marker profiles. OS: overall survival. Fpkm: fragments per kilobase of transcript per million mapped reads. B_cells_naive to absolute_score_sig_score columns are immune cell composition score outputs from Cibersort. PredictIO_score: immune checkpoint response score (see Methods).
DOI: 10.6084/m9.figshare.27894356.v1
title: Additional file 9 of Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities

description: Additional file 9: Table S8. Profiles of KMT2D mutations and immune markers in TCGA-COAD/READ cases. A. TCGA-COAD/READ clinical data and immune marker profiles. OS: overall survival. Fpkm: fragments per kilobase of transcript per million mapped reads. B_cells_naive to absolute_score_sig_score columns are immune cell composition score outputs from Cibersort. PredictIO_score: immune checkpoint response score (see Methods).