cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qy96j6
title: Occurrence Download

description: A dataset containing 1310 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydatellaceae"
 ]
}

 The dataset includes 1310 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076645-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uedv8t
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bolitoglossa vallecula Brame & Wake, 1963"
 ]
}

 The dataset includes 424 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263164-200613084148143/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.22647073
title: Invisible Sportswomen 2.0 - Cowley et al 2023 (Female only dataset).xlsx

description: This dataset builds upon previous findings by Cowley (2021), who examined the ratio of male and female participants in six sport and exercise medicine journals from 2014 to 2020. Specifically, all original, female-only, publications from six journals (<em>The European Journal of Sports Science [EJSS], Medicine & Science in Sport & Exercise [MSSE], The Journal of Sport Science & Medicine [JSSM], The Journal of Physiology [JPHYS], The American Journal of Sports Medicine [AJSM], </em>and<em> The British Journal of Sports Medicine [BJSM]</em>) between January 1, 2014 and December 31, 2020 identified by Cowley (2021) were screened for inclusion by all authors. Additionally, following the same criteria, an updated search was subsequently conducted from December 31, 2020 to January 1, 2023 to identify any further original, female-only, publications for inclusion.
Variables include: Journal name, year, first author gender (1 = woman, 0 = man), last author gender (1 = woman, 0 = man), topic covered, if sex is listed in the title (0 = yes, 1 = no), the topic covered is sex-specific (0 = yes, 1 = no), the sample size of the study, if sex-specific methods are applicable (1 = applicable, 0 = not applicable), if menstrual cycle status was reported (0 = yes, 1 = no, blank = not applicable), if the study controlled for cycle (0 = yes, 1 = no, blank = not applicable), if the study tracked cycle (0 = yes, 1 = no, blank = not applicable), if blood samples were collected (0 = yes, 1 = no, blank = not applicable), if hormonal contraceptive use was reported (0 = yes, 1 = no, blank = not applicable), if urine and/or saliva samples were collected (0 = yes, 1 = no, blank = not applicable), the overall quality proportion score (0 to 1).
There is a separate sheet for each journal which lists all the articles from 2014 to 2022. Each article is given a row, which includes a link to the author and email address of the corresponding author. Further, a compiled sheet with all articles is also provided on the "compiled" sheet.
Information on the editorial boards of the six journals is also provided in the "editorial board" sheet; the size of the editorial board, the ratio of women and men on the board, the gender of the editor-in-chief, the percentage of women on the board. Links to each journal are also provided.
DOI: 10.15468/dl.cb926b
title: Occurrence Download

description: A dataset containing 1395 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scelotes Fitzinger, 1826"
 ]
}

 The dataset includes 1395 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084623-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zc8srm
title: Occurrence Download

description: A dataset containing 573490 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poa pratensis L."
 ]
}

 The dataset includes 573490 records from 1014 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289617-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25378/janelia.21163315.v1
title: EASI-FISH example data (multi-round FISH, round 4)

description: Example dataset that can be used for testing the EASI-FISH (Expansion-Assisted Iterative Fluorescence in situ hybridization) data analysis pipeline (https://github.com/JaneliaSciComp/multifish). Raw image data (.czi) and metadata (.mvl) are provided here. Image data was collected using a Zeiss Lightsheet Z.1 microscope. A 20× water-immersion objective (RI=1.33) was used for imaging with 1× zoom. Single-side illumination was used to reduce light exposure and imaging time. Overlap between tiles was set to 8%. Voxel size (µm): 0.23 x 0.23 x 0.42 (x, y, z). This dataset can be used with EASI-FISH example datasets (multi-round FISH, round 3 and round 5) (https://doi.org/10.25378/janelia.13622819; https://doi.org/10.25378/janelia.13622828) for registration testing.
<br>
LHA3_R4_small (12GB):<br>

Two image tiles are included in a single CZI file, with 2 channels (1 FISH channel and 1 DAPI channel). Channel1: 488 (<em>Calb2</em>), channel 2: 405 (DAPI) and image dimension per tile: 1920 x 1920 x 413 (x, y, z).<br>
DOI: 10.6084/m9.figshare.16960669.v1
title: Additional file 5 of TAD-like single-cell domain structures exist on both active and inactive X chromosomes and persist under epigenetic perturbations

description: Additional file 5: Supplementary Table 4. Sequences of the intron RNA FISH template oligo pool.
DOI: 10.6084/m9.figshare.13299190
title: FAIM-S functions as a negative regulator of NF-κB pathway and blocks cell cycle progression in NSCLC cells

description: Tumorigenesis is closely related to the disorder of the cell cycle. The cell cycle progression includes the interphase (G0/G1, S, and G2 phase) and mitosis (M phase). CCND1 is a key protein that regulates the entry of the G0/G1 phase into the S phase. In our study, we found that the short form of Fas Apoptosis Inhibitory Molecule 1 (FAIM-S) could regulate the expression of CCND1 and had a tumor-suppressing role in non-small cell lung cancer (NSCLC). Overexpressing FAIM-S significantly inhibited the proliferation and cell cycle progression in NSCLC cells. Further studies demonstrated that FAIM-S could interact with IKK-α, reducing its protein stability. This effect led to the suppression of the NF-κB pathway, resulting in the decreased expression of CCND1. Thus, our study demonstrated that FAIM-S functioned as a negative regulator of the NF-κB pathway and played a tumor-suppressing role through blocking cell cycle progression in NSCLC cells.
DOI: 10.6084/m9.figshare.13299190.v1
title: FAIM-S functions as a negative regulator of NF-κB pathway and blocks cell cycle progression in NSCLC cells

description: Tumorigenesis is closely related to the disorder of the cell cycle. The cell cycle progression includes the interphase (G0/G1, S, and G2 phase) and mitosis (M phase). CCND1 is a key protein that regulates the entry of the G0/G1 phase into the S phase. In our study, we found that the short form of Fas Apoptosis Inhibitory Molecule 1 (FAIM-S) could regulate the expression of CCND1 and had a tumor-suppressing role in non-small cell lung cancer (NSCLC). Overexpressing FAIM-S significantly inhibited the proliferation and cell cycle progression in NSCLC cells. Further studies demonstrated that FAIM-S could interact with IKK-α, reducing its protein stability. This effect led to the suppression of the NF-κB pathway, resulting in the decreased expression of CCND1. Thus, our study demonstrated that FAIM-S functioned as a negative regulator of the NF-κB pathway and played a tumor-suppressing role through blocking cell cycle progression in NSCLC cells.
DOI: 10.25378/janelia.21163315
title: EASI-FISH example data (multi-round FISH, round 4)

description: Example dataset that can be used for testing the EASI-FISH (Expansion-Assisted Iterative Fluorescence in situ hybridization) data analysis pipeline (https://github.com/JaneliaSciComp/multifish). Raw image data (.czi) and metadata (.mvl) are provided here. Image data was collected using a Zeiss Lightsheet Z.1 microscope. A 20× water-immersion objective (RI=1.33) was used for imaging with 1× zoom. Single-side illumination was used to reduce light exposure and imaging time. Overlap between tiles was set to 8%. Voxel size (µm): 0.23 x 0.23 x 0.42 (x, y, z). This dataset can be used with EASI-FISH example datasets (multi-round FISH, round 3 and round 5) (https://doi.org/10.25378/janelia.13622819; https://doi.org/10.25378/janelia.13622828) for registration testing.
<br>
LHA3_R4_small (12GB):<br>

Two image tiles are included in a single CZI file, with 2 channels (1 FISH channel and 1 DAPI channel). Channel1: 488 (<em>Calb2</em>), channel 2: 405 (DAPI) and image dimension per tile: 1920 x 1920 x 413 (x, y, z).<br>
DOI: 10.6084/m9.figshare.12774942.v1
title: Additional file 3 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 3: Table S2. List of TCGA and CGGA glioma patients.
DOI: 10.6084/m9.figshare.12774927
title: Additional file 15 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 15: Table S14. List of primers and probes used in qRT-PCR analyses
DOI: 10.6084/m9.figshare.7007231.v1
title: Introgression and gene family contraction drive the evolution of lifestyle and host shifts of hypocrealean fungi

description: Hypocrealean fungi (Ascomycota) are known for their diversity of lifestyles. Their vital influences on agricultural and natural ecosystems have resulted in a number of sequenced genomes, which provide essential data for genomic analysis. Totally, 45 hypocrealean fungal genomes constructed a phylogeny. The phylogeny showed that plant pathogens in Nectriaceae diverged earliest, followed by animal pathogens in Cordycipitaceae, Ophiocordycipitaceae and Clavicipitaceae with mycoparasites in Hypocreaceae. Insect/nematode pathogens and grass endophytes in Clavicipitaceae diverged at last. Gene families associated with host-derived nutrients are significantly contracted in diverged lineages compared with the ancestral species. Introgression was detected in certain lineages of hypocrealean fungi, and the main functions of the genes located in the introgressed regions are involved in host recognition, transcriptional regulation, stress response and cell growth regulation. These results indicate that contraction of gene families and introgression might be main mechanisms to drive lifestyle differentiation and evolution and host shift of hypocrealean fungi.
DOI: 10.6084/m9.figshare.12774924
title: Additional file 14 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 14: Table S13. List of primers used for cloning
DOI: 10.6084/m9.figshare.12774927.v1
title: Additional file 15 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 15: Table S14. List of primers and probes used in qRT-PCR analyses
DOI: 10.6084/m9.figshare.12774835
title: Additional file 2 of Comprehensive identification and analysis of DELLA genes throughout the plant kingdom

description: Additional file 2: Table S2. CDs sequences of DELLA NSGs and PSGs.
DOI: 10.6084/m9.figshare.12774912
title: Additional file 10 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 10: Table S9. Gene expression correlation analysis. Genes showing positive and negative (anti-correlation) with SERBP1 in brain samples (Kang dataset) according to R2. Sheet 1, genes showing positive correlation with SERBP1 in brain samples; sheet 2, comparison between genes showing positive correlation with SERBP1 in brain and TCGA GBM samples and GO analysis of shared genes; sheet 3, genes negatively correlated with SERBP1 in brain samples; sheet 4, comparison between genes negatively correlated with SERBP1 in brain and TCGA GBM samples and GO analysis of shared genes.
DOI: 10.6084/m9.figshare.12774915
title: Additional file 11 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 11: Table S10. Gene set enrichment analysis (GSEA) of genes upregulated upon SERBP1 knockdown. Sheet 1, EZH2 and SUZ12 matches in ChEA 2016 datasets; sheet 2, EZH2 and SUZ12 matches in ENCODE 2015 datasets; sheet 3, genes with SUZ12 binding sites compared to upregulated set in SERBP1 knockdown; sheet 4, all genes with EZH2 binding sites compared to upregulated set in SERBP1 knockdown; sheet 5, H3K27me3 profile in embryonic stem cells; sheet 6, all genes with H3K27me3 sites compared to upregulated set in SERBP1 knockdown sheet 7; overlap all results: EZH2, SUZ12 and H3K27me3.
DOI: 10.6084/m9.figshare.12774975
title: Additional file 1 of CircPOSTN/miR-361-5p/TPX2 axis regulates cell growth, apoptosis and aerobic glycolysis in glioma cells

description: Additional file 1. Predicted other target miRNAs of circPOSTN.
DOI: 10.6084/m9.figshare.12774975.v1
title: Additional file 1 of CircPOSTN/miR-361-5p/TPX2 axis regulates cell growth, apoptosis and aerobic glycolysis in glioma cells

description: Additional file 1. Predicted other target miRNAs of circPOSTN.
DOI: 10.6084/m9.figshare.12774915.v1
title: Additional file 11 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 11: Table S10. Gene set enrichment analysis (GSEA) of genes upregulated upon SERBP1 knockdown. Sheet 1, EZH2 and SUZ12 matches in ChEA 2016 datasets; sheet 2, EZH2 and SUZ12 matches in ENCODE 2015 datasets; sheet 3, genes with SUZ12 binding sites compared to upregulated set in SERBP1 knockdown; sheet 4, all genes with EZH2 binding sites compared to upregulated set in SERBP1 knockdown; sheet 5, H3K27me3 profile in embryonic stem cells; sheet 6, all genes with H3K27me3 sites compared to upregulated set in SERBP1 knockdown sheet 7; overlap all results: EZH2, SUZ12 and H3K27me3.
DOI: 10.6084/m9.figshare.12774948
title: Additional file 5 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 5: Table S4. Characteristics of all glioma patients in the cohort from the Shanghai Changzheng Hospital.
DOI: 10.6084/m9.figshare.12774918.v1
title: Additional file 12 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 12: Table S11. Genes in SERBP1 knockdown upregulated set showing H3K27me3 sites in GBM cells according to [45].
DOI: 10.6084/m9.figshare.19581960.v1
title: Additional file 12 of Identification of circRNA-associated ceRNA networks using longissimus thoracis of pigs of different breeds and growth stages

description: Additional file 12. 12864_2022_8515_MOESM12_ESM.xlsx.
DOI: 10.6084/m9.figshare.12774835.v1
title: Additional file 2 of Comprehensive identification and analysis of DELLA genes throughout the plant kingdom

description: Additional file 2: Table S2. CDs sequences of DELLA NSGs and PSGs.
DOI: 10.6084/m9.figshare.16969111.v1
title: Additional file 1 of The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study

description: Additional file 1. (XLS 55 kb)
DOI: 10.6084/m9.figshare.12774954.v1
title: Additional file 7 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 7: Table S6. RNA-seq analysis of U251 control vs. SERBP1 knockdown samples. Sheet 1, summary of results; sheet 2, list of genes affected by SERBP1 knockdown; sheet 3, list of ncRNA affected by SERBP1 knockdown; sheet 4, gene ontology analysis of down regulated genes; sheet 5, KEGG pathway analysis of down regulated genes.; sheet 6, gene ontology analysis of up regulated genes; sheet 7, REACTOME pathway analysis of up regulated genes; sheet 8, KEGG pathway analysis of down regulated genes.
DOI: 10.6084/m9.figshare.12774957
title: Additional file 8 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 8: Table S7. Results of metabolic analysis U251 control vs. U251 SERBP1 knockdown.
DOI: 10.6084/m9.figshare.12774957.v1
title: Additional file 8 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 8: Table S7. Results of metabolic analysis U251 control vs. U251 SERBP1 knockdown.
DOI: 10.6084/m9.figshare.12774960
title: Additional file 9 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 9: Table S8. Gene expression correlation analysis. Genes showing positive and negative (anti-correlation) with SERBP1 in TCGA GBM samples according to R2. Sheet 1, genes showing positive correlation with SERBP1 in TCGA GBM samples; sheet 2, GO analysis of genes showing positive correlation with SERBP1 in TCGA GBM samples; sheet 3, genes showing anti-correlation with SERBP1 in TCGA GBM samples; sheet 4, GO analysis of genes showing anti-correlation with SERBP1 in TCGA GBM samples; sheet 5, comparison between enriched GO terms in genes negatively correlated with SERBP1 vs. genes upregulated upon SERBP1 knockdown.
DOI: 10.6084/m9.figshare.16969114.v1
title: Additional file 2 of The ensemble learning model is not better than the Asian modified CKD-EPI equation for glomerular filtration rate estimation in Chinese CKD patients in the external validation study

description: Additional file 2. (XLS 179 kb)
DOI: 10.6084/m9.figshare.19581960
title: Additional file 12 of Identification of circRNA-associated ceRNA networks using longissimus thoracis of pigs of different breeds and growth stages

description: Additional file 12. 12864_2022_8515_MOESM12_ESM.xlsx.
DOI: 10.6084/m9.figshare.19581987.v1
title: Additional file 8 of Identification of circRNA-associated ceRNA networks using longissimus thoracis of pigs of different breeds and growth stages

description: Additional file 8. 12864_2022_8515_MOESM8_ESM.xlsx.
DOI: 10.6084/m9.figshare.12774930
title: Additional file 16 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 16. Complete list of reagents.
DOI: 10.6084/m9.figshare.12774942
title: Additional file 3 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 3: Table S2. List of TCGA and CGGA glioma patients.
DOI: 10.6084/m9.figshare.12774954
title: Additional file 7 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 7: Table S6. RNA-seq analysis of U251 control vs. SERBP1 knockdown samples. Sheet 1, summary of results; sheet 2, list of genes affected by SERBP1 knockdown; sheet 3, list of ncRNA affected by SERBP1 knockdown; sheet 4, gene ontology analysis of down regulated genes; sheet 5, KEGG pathway analysis of down regulated genes.; sheet 6, gene ontology analysis of up regulated genes; sheet 7, REACTOME pathway analysis of up regulated genes; sheet 8, KEGG pathway analysis of down regulated genes.
DOI: 10.6084/m9.figshare.12774912.v1
title: Additional file 10 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 10: Table S9. Gene expression correlation analysis. Genes showing positive and negative (anti-correlation) with SERBP1 in brain samples (Kang dataset) according to R2. Sheet 1, genes showing positive correlation with SERBP1 in brain samples; sheet 2, comparison between genes showing positive correlation with SERBP1 in brain and TCGA GBM samples and GO analysis of shared genes; sheet 3, genes negatively correlated with SERBP1 in brain samples; sheet 4, comparison between genes negatively correlated with SERBP1 in brain and TCGA GBM samples and GO analysis of shared genes.
DOI: 10.6084/m9.figshare.12775003.v1
title: Additional file 1 of Physiological change alters endophytic bacterial community in clubroot of tumorous stem mustard infected by Plasmodiophora brassicae

description: Additional file 1: Table S1. Taxonomy and distribution of the OTUs. Taxonomy at phylum, class, order, family, genus, species and OTU level. R, healthy roots. C, clubroots. The numbers in table cells are numbers of sequences of each OTU.
DOI: 10.34740/kaggle/dsv/7618079
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.12774921
title: Additional file 13 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 13: Table S12. Expression analyses of SERBP1 knockdown upregulated set in TCGA GBM vs. LGG and TCGA GBM vs. GTEx brain (cortex) samples.
DOI: 10.6084/m9.figshare.12774921.v1
title: Additional file 13 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 13: Table S12. Expression analyses of SERBP1 knockdown upregulated set in TCGA GBM vs. LGG and TCGA GBM vs. GTEx brain (cortex) samples.
DOI: 10.6084/m9.figshare.12774930.v1
title: Additional file 16 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 16. Complete list of reagents.
DOI: 10.6084/m9.figshare.12774918
title: Additional file 12 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 12: Table S11. Genes in SERBP1 knockdown upregulated set showing H3K27me3 sites in GBM cells according to [45].
DOI: 10.6084/m9.figshare.12774924.v1
title: Additional file 14 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 14: Table S13. List of primers used for cloning
DOI: 10.6084/m9.figshare.12774948.v1
title: Additional file 5 of The RNA-binding protein SERBP1 functions as a novel oncogenic factor in glioblastoma by bridging cancer metabolism and epigenetic regulation

description: Additional file 5: Table S4. Characteristics of all glioma patients in the cohort from the Shanghai Changzheng Hospital.