cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24012480.v1
title: 2023 STEM Library Biology Syllabi Combined.pptx

description:   
At Baylor University, biology is one of the most popular concentrations with approximately 1200 majors or 8% of the undergraduate population. In addition to their majors, the department also teaches students who are fulfilling their general education requirements, pre-med students, and students who take biology for their majors such as anthropology, biochemistry, bioinformatics, chemistry, environmental science, geology, health science studies, and nursing. Biology majors are also not required to take ENG 130 Writing and Academic Inquiry Seminars (i.e. freshman composition). In addition, there are three different tracks for biology majors so no upper level class is required for all majors. All of these factors make it difficult to determine when is the best time to introduce subject specific information literacy to biology majors.
<br>
We use the Syllabi Information Literacy Miner https://colab.research.google.com/drive/1N778ot87GI-wJSQHpjRJWkplL4NL5HWb?usp=sharing to help us determine which instructors to approach to offer information literacy guidance. Approximately 500 syllabi from Spring 2018 to Fall 2022 were analyzed. There were approximately 100 courses and 200 distinct course-instructor pairs. These courses ranged from 1000 level service courses to 5000 level graduate seminars. Some of these courses have multiple sections with multiple instructors in a single semester; others alternate instructors in different semesters; a few were only offered once in the 14 terms. Out of these approximately 65 courses and 140 course-instructor pairs were flagged as including information literacy terms of these approximately 40 courses and less than 50 course-instructor pairs were for undergraduate classes.
DOI: 10.17028/rd.lboro.15105129
title: Supplementary information files for: Designing the next generation of proton-exchange membrane fuel cells

description: Supplementary files for article: Designing the next generation of proton-exchange membrane fuel cells.With the rapid growth and development of proton-exchange membrane fuel cell (PEMFC) technology, there has been increasing demand for clean and sustainable global energy applications. Of the many device-level and infrastructure challenges that need to be overcome before wide commercialization can be realized, one of the most critical ones is increasing the PEMFC power density, and ambitious goals have been proposed globally. For example, the short- and long-term power density goals of Japan's New Energy and Industrial Technology Development Organization are 6 kilowatts per litre by 2030 and 9 kilowatts per litre by 2040, respectively. To this end, here we propose technical development directions for next-generation high-power-density PEMFCs. We present the latest ideas for improvements in the membrane electrode assembly and its components with regard to water and thermal management and materials. These concepts are expected to be implemented in next-generation PEMFCs to achieve high power density.<br>
DOI: 10.6084/m9.figshare.24018074
title: Identification and study of cuproptosis-related genes in prognostic model of multiple myeloma

description: Multiple myeloma (MM) is a highly heterogeneous disease. Cuproptosis is a novel mode of death that is closely associated with several diseases, such as hepatocellular carcinoma. However, its role in MM is unknown. MM transcriptomic and clinical data were obtained from UCSC Xena and gene expression omnibus (GEO) databases. Following MM samples were divided into different subtypes based on the cuproptosis genes, the differentially expressed genes (DEGs) among different subtypes, namely, candidate cuproptosis related genes were analyzed by univariate Cox and least absolute shrinkage and selection operator (LASSO) regression to construct a cuproptosis-related risk model. After the independent prognostic analysis was performed, a nomogram was constructed. Finally, Functional enrichment analysis and immune infiltration analysis were performed in the high- and low-risk groups, potential therapeutic agents were then predicted. The 784 MM samples in UCSC Xena cohorts were divided into three different subtypes, and 4 out of 346 candidate cuproptosis related genes, namely CDKN2A, BCL3, KCNA3 and TTC14 were used to construct a risk model. Risk score was considered a reliable independent prognostic factor for MM patients. It was investigated that the pathway of cell cycle was significantly enriched in the high-risk group. In addition, immune score, ESTIMATE score and cytolytic activity were significantly different between different risk groups, as well as 13 immune cells such as memory B cells. Nine drugs were predicted in our study. A cuproptosis-related prognostic model was constructed, which may have a potential guiding role in the treatment of MM.
DOI: 10.6084/m9.figshare.24018074.v1
title: Identification and study of cuproptosis-related genes in prognostic model of multiple myeloma

description: Multiple myeloma (MM) is a highly heterogeneous disease. Cuproptosis is a novel mode of death that is closely associated with several diseases, such as hepatocellular carcinoma. However, its role in MM is unknown. MM transcriptomic and clinical data were obtained from UCSC Xena and gene expression omnibus (GEO) databases. Following MM samples were divided into different subtypes based on the cuproptosis genes, the differentially expressed genes (DEGs) among different subtypes, namely, candidate cuproptosis related genes were analyzed by univariate Cox and least absolute shrinkage and selection operator (LASSO) regression to construct a cuproptosis-related risk model. After the independent prognostic analysis was performed, a nomogram was constructed. Finally, Functional enrichment analysis and immune infiltration analysis were performed in the high- and low-risk groups, potential therapeutic agents were then predicted. The 784 MM samples in UCSC Xena cohorts were divided into three different subtypes, and 4 out of 346 candidate cuproptosis related genes, namely CDKN2A, BCL3, KCNA3 and TTC14 were used to construct a risk model. Risk score was considered a reliable independent prognostic factor for MM patients. It was investigated that the pathway of cell cycle was significantly enriched in the high-risk group. In addition, immune score, ESTIMATE score and cytolytic activity were significantly different between different risk groups, as well as 13 immune cells such as memory B cells. Nine drugs were predicted in our study. A cuproptosis-related prognostic model was constructed, which may have a potential guiding role in the treatment of MM.
DOI: 10.6084/m9.figshare.13532320
title: Additional file 2 of Changes of microbial and metabolome of the equine hindgut during oligofructose-induced laminitis

description: Additional file 2: Table S2. Relative abundance of all genus in the fecal microbiota between healthy and laminitis. (XLS 28 kb)
DOI: 10.6084/m9.figshare.13532320.v1
title: Additional file 2 of Changes of microbial and metabolome of the equine hindgut during oligofructose-induced laminitis

description: Additional file 2: Table S2. Relative abundance of all genus in the fecal microbiota between healthy and laminitis. (XLS 28 kb)
DOI: 10.6084/m9.figshare.13532323
title: Additional file 3 of Changes of microbial and metabolome of the equine hindgut during oligofructose-induced laminitis

description: Additional file 3: Table S3. Differential metabolite screening results (XLS 47 kb)
DOI: 10.6084/m9.figshare.13532323.v1
title: Additional file 3 of Changes of microbial and metabolome of the equine hindgut during oligofructose-induced laminitis

description: Additional file 3: Table S3. Differential metabolite screening results (XLS 47 kb)
DOI: 10.6084/m9.figshare.13532317
title: Additional file 1 of Changes of microbial and metabolome of the equine hindgut during oligofructose-induced laminitis

description: Additional file 1: Table S1. Relative abundance of all phyla in the fecal microbiota between healthy and laminitis horses. (XLS 28 kb)
DOI: 10.6084/m9.figshare.13532317.v1
title: Additional file 1 of Changes of microbial and metabolome of the equine hindgut during oligofructose-induced laminitis

description: Additional file 1: Table S1. Relative abundance of all phyla in the fecal microbiota between healthy and laminitis horses. (XLS 28 kb)
DOI: 10.6084/m9.figshare.15105232
title: A novel fusion circular RNA F-circBA1 derived from the <i>BCR-ABL</i> fusion gene displayed an oncogenic role in chronic myeloid leukemia cells

description: The <i>BCR-ABL</i> fusion gene plays a crucial role in the leukemogenesis of chronic myeloid leukemia (CML). The BCR-ABL oncoprotein encoded by this fusion gene has been extensively studied. However, research on whether <i>BCR-ABL</i> also affects circular RNAs (circRNAs) is limited. This study aimed to explore the new fusion circRNAs produced by <i>BCR-ABL</i> and their role in CML cells. In this study, we identified a novel fusion circRNA, named F-circBA1, originating from <i>BCR-ABL</i> in K562 and K562/G01 cells using quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) and Sanger sequencing. qRT-PCR of the nuclear RNA and cytoplasmic RNA were separated, indicating that F-circBA1 was mainly localized in the cytoplasm. Cell counting kit-8 assay and flow cytometry showed that F-circBA1 knockdown by shRNA prevented the proliferation of K562 and K562/G01 cells, and the cell cycle was arrested at G2/M. Mechanically, dual-luciferase reporter assay and western blotting assay showed that F-circBA1 sponged miR-148-3p and F-circBA1 silencing decreased CDC25B expression in vitro. Furthermore, the results of the murine leukemogenesis model showed that F-circBA1 knockdown suppressed leukemogenesis in vivo. Besides, we found the existence of F-circBA1 in some patients with <i>BCR-ABL</i>-positive CML. In conclusion, these results demonstrate the presence of F-circBA1 and its oncogenic role in CML cells.
DOI: 10.6084/m9.figshare.15105232.v1
title: A novel fusion circular RNA F-circBA1 derived from the <i>BCR-ABL</i> fusion gene displayed an oncogenic role in chronic myeloid leukemia cells

description: The <i>BCR-ABL</i> fusion gene plays a crucial role in the leukemogenesis of chronic myeloid leukemia (CML). The BCR-ABL oncoprotein encoded by this fusion gene has been extensively studied. However, research on whether <i>BCR-ABL</i> also affects circular RNAs (circRNAs) is limited. This study aimed to explore the new fusion circRNAs produced by <i>BCR-ABL</i> and their role in CML cells. In this study, we identified a novel fusion circRNA, named F-circBA1, originating from <i>BCR-ABL</i> in K562 and K562/G01 cells using quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) and Sanger sequencing. qRT-PCR of the nuclear RNA and cytoplasmic RNA were separated, indicating that F-circBA1 was mainly localized in the cytoplasm. Cell counting kit-8 assay and flow cytometry showed that F-circBA1 knockdown by shRNA prevented the proliferation of K562 and K562/G01 cells, and the cell cycle was arrested at G2/M. Mechanically, dual-luciferase reporter assay and western blotting assay showed that F-circBA1 sponged miR-148-3p and F-circBA1 silencing decreased CDC25B expression in vitro. Furthermore, the results of the murine leukemogenesis model showed that F-circBA1 knockdown suppressed leukemogenesis in vivo. Besides, we found the existence of F-circBA1 in some patients with <i>BCR-ABL</i>-positive CML. In conclusion, these results demonstrate the presence of F-circBA1 and its oncogenic role in CML cells.
DOI: 10.6084/m9.figshare.5143774
title: Treatment effects of olanzapine on homotopic connectivity in drug-free schizophrenia at rest

description: <b>Objectives:</b> Deficits in homotopic connectivity have been implicated in schizophrenia. However, alterations in homotopic connectivity associated with antipsychotic treatments in schizophrenia remain unclear due to lack of longitudinal studies. <b>Methods:</b> Seventeen drug-free patients with recurrent schizophrenia and 24 healthy controls underwent resting-state functional magnetic resonance imaging scans. The patients were scanned at three time points (baseline, at 6 weeks of treatment, and at 6 months of treatment). Voxel-mirrored homotopic connectivity (VMHC) was applied to analyse the imaging data to examine alterations in VMHC associated with antipsychotic treatment. <b>Results:</b> The results showed that patients with schizophrenia exhibited decreased VMHC in the default-mode network (such as the precuneus and inferior parietal lobule) and the motor and sensory processing regions (such as the lingual gyrus, fusiform gyrus and cerebellum lobule VI), which could be normalised or denormalised by olanzapine treatment. In addition, negative correlations were found between decreased VMHC and symptom severity in the patients at baseline. <b>Conclusions:</b> The present study shows that olanzapine treatment can normalise or denormalise decreased homotopic connectivity in schizophrenia. The findings also provide a new perspective to understand treatment effects of antipsychotic drugs on homotopic connectivity in schizophrenia that contribute to the disconnection hypothesis of this disease.
DOI: 10.6084/m9.figshare.5143774.v1
title: Treatment effects of olanzapine on homotopic connectivity in drug-free schizophrenia at rest

description: <b>Objectives:</b> Deficits in homotopic connectivity have been implicated in schizophrenia. However, alterations in homotopic connectivity associated with antipsychotic treatments in schizophrenia remain unclear due to lack of longitudinal studies. <b>Methods:</b> Seventeen drug-free patients with recurrent schizophrenia and 24 healthy controls underwent resting-state functional magnetic resonance imaging scans. The patients were scanned at three time points (baseline, at 6 weeks of treatment, and at 6 months of treatment). Voxel-mirrored homotopic connectivity (VMHC) was applied to analyse the imaging data to examine alterations in VMHC associated with antipsychotic treatment. <b>Results:</b> The results showed that patients with schizophrenia exhibited decreased VMHC in the default-mode network (such as the precuneus and inferior parietal lobule) and the motor and sensory processing regions (such as the lingual gyrus, fusiform gyrus and cerebellum lobule VI), which could be normalised or denormalised by olanzapine treatment. In addition, negative correlations were found between decreased VMHC and symptom severity in the patients at baseline. <b>Conclusions:</b> The present study shows that olanzapine treatment can normalise or denormalise decreased homotopic connectivity in schizophrenia. The findings also provide a new perspective to understand treatment effects of antipsychotic drugs on homotopic connectivity in schizophrenia that contribute to the disconnection hypothesis of this disease.
DOI: 10.6084/m9.figshare.8289536
title: Sterlet.repeats.gff

description: <br>This file is a gff file contains a list of repeat sequences annotated from the sterlet genome
DOI: 10.6084/m9.figshare.13532435
title: Additional file 2 of PCirc: random forest-based plant circRNA identification software

description: Additional file 2. File 1: The evaluation scores of the model building process.
DOI: 10.6084/m9.figshare.13532435.v1
title: Additional file 2 of PCirc: random forest-based plant circRNA identification software

description: Additional file 2. File 1: The evaluation scores of the model building process.
DOI: 10.6084/m9.figshare.13532438
title: Additional file 3 of PCirc: random forest-based plant circRNA identification software

description: Additional file 3. File 2: The evaluation scores of the test data which include the other three types of non-coding RNA.
DOI: 10.6084/m9.figshare.13532438.v1
title: Additional file 3 of PCirc: random forest-based plant circRNA identification software

description: Additional file 3. File 2: The evaluation scores of the test data which include the other three types of non-coding RNA.
DOI: 10.6084/m9.figshare.13532441
title: Additional file 4 of PCirc: random forest-based plant circRNA identification software

description: Additional file 4. File 3: The train set and test set used in the model construction process.
DOI: 10.6084/m9.figshare.13532441.v1
title: Additional file 4 of PCirc: random forest-based plant circRNA identification software

description: Additional file 4. File 3: The train set and test set used in the model construction process.
DOI: 10.6084/m9.figshare.13532465
title: Additional file 2 of XPF expression and its relationship with the risk and prognosis of colorectal cancer

description: Additional file 1: Table S1. XPF expression in CRC and anal disease tissue. Mann–Whitney U-test of nonparametric test to compare the XPF protein expression between CRC and adjacent tissue. PR, positive rate. Negative (−), light positive (+), positive (++), strong positive (+++) staining. The bold values: P &lt; 0.05.
DOI: 10.6084/m9.figshare.13532465.v1
title: Additional file 2 of XPF expression and its relationship with the risk and prognosis of colorectal cancer

description: Additional file 1: Table S1. XPF expression in CRC and anal disease tissue. Mann–Whitney U-test of nonparametric test to compare the XPF protein expression between CRC and adjacent tissue. PR, positive rate. Negative (−), light positive (+), positive (++), strong positive (+++) staining. The bold values: P &lt; 0.05.
DOI: 10.6084/m9.figshare.13532528.v1
title: Additional file 1 of Transcriptional response of Asarum heterotropoides Fr. Schmidt var. mandshuricum (Maxim.) Kitag. leaves grown under full and partial daylight conditions

description: Additional file 1: Table 1. Summary of de novo transcriptome sequencing output. L1, L2, L3 and L4 represent full sunlight, 50% sunlight, 28% sunlight and 12% sunlight, respectively. Table 2. Differentially expressed genes in Asarum leaves grown under full and 50% sunlight conditions. Table 3. Differentially expressed genes in Asarum leaves grown under full and 28% sunlight conditions. Table 4. Differentially expressed genes in Asarum leaves grown under full and 12% sunlight conditions. Table 5. Differentially expressed genes in Asarum leaves grown under 50 and 28% sunlight conditions. Table 6. Differentially expressed genes in Asarum leaves grown under 50 and 12% sunlight conditions. Table 7. Differentially expressed genes in Asarum leaves grown under 28 and 12% sunlight conditions. Table 8. List of primers used for qRT-PCR analysis.
DOI: 10.6084/m9.figshare.13532528
title: Additional file 1 of Transcriptional response of Asarum heterotropoides Fr. Schmidt var. mandshuricum (Maxim.) Kitag. leaves grown under full and partial daylight conditions

description: Additional file 1: Table 1. Summary of de novo transcriptome sequencing output. L1, L2, L3 and L4 represent full sunlight, 50% sunlight, 28% sunlight and 12% sunlight, respectively. Table 2. Differentially expressed genes in Asarum leaves grown under full and 50% sunlight conditions. Table 3. Differentially expressed genes in Asarum leaves grown under full and 28% sunlight conditions. Table 4. Differentially expressed genes in Asarum leaves grown under full and 12% sunlight conditions. Table 5. Differentially expressed genes in Asarum leaves grown under 50 and 28% sunlight conditions. Table 6. Differentially expressed genes in Asarum leaves grown under 50 and 12% sunlight conditions. Table 7. Differentially expressed genes in Asarum leaves grown under 28 and 12% sunlight conditions. Table 8. List of primers used for qRT-PCR analysis.
DOI: 10.6084/m9.figshare.13532533
title: Additional file 1 of Dysbiosis of urine microbiota in obstructive urinary retention patients revealed by next-generation sequencing

description: Additional file 1: Table S1. Data production of 84 samples in three groups.
DOI: 10.6084/m9.figshare.13532536
title: Additional file 2 of Dysbiosis of urine microbiota in obstructive urinary retention patients revealed by next-generation sequencing

description: Additional file 2: Table S2. The relative abundance of the OTU profile and taxonomy.
DOI: 10.6084/m9.figshare.13532536.v1
title: Additional file 2 of Dysbiosis of urine microbiota in obstructive urinary retention patients revealed by next-generation sequencing

description: Additional file 2: Table S2. The relative abundance of the OTU profile and taxonomy.
DOI: 10.6084/m9.figshare.13532533.v1
title: Additional file 1 of Dysbiosis of urine microbiota in obstructive urinary retention patients revealed by next-generation sequencing

description: Additional file 1: Table S1. Data production of 84 samples in three groups.
DOI: 10.6084/m9.figshare.13532551
title: Additional file 7 of Dysbiosis of urine microbiota in obstructive urinary retention patients revealed by next-generation sequencing

description: Additional file 7: Table S4. The relative abundance of level 3 KEGG pathway profiles predicted by PICRUSt.
DOI: 10.6084/m9.figshare.13532551.v1
title: Additional file 7 of Dysbiosis of urine microbiota in obstructive urinary retention patients revealed by next-generation sequencing

description: Additional file 7: Table S4. The relative abundance of level 3 KEGG pathway profiles predicted by PICRUSt.
DOI: 10.6084/m9.figshare.13532554
title: Additional file 8 of Dysbiosis of urine microbiota in obstructive urinary retention patients revealed by next-generation sequencing

description: Additional file 8: Table S5. The relative abundance of level 2 COG functions predicted by PICRUSt.
DOI: 10.6084/m9.figshare.13532554.v1
title: Additional file 8 of Dysbiosis of urine microbiota in obstructive urinary retention patients revealed by next-generation sequencing

description: Additional file 8: Table S5. The relative abundance of level 2 COG functions predicted by PICRUSt.
DOI: 10.6084/m9.figshare.7241156
title: Genotyping Data

description: Each patient’s genotype and their clinical characteristics were packaged.
DOI: 10.6084/m9.figshare.7241156.v1
title: Genotyping Data

description: Each patient’s genotype and their clinical characteristics were packaged.
DOI: 10.6084/m9.figshare.13532609
title: Additional file 13 of Comparative transcriptome analysis uncovers roles of hydrogen sulfide for alleviating cadmium toxicity in Tetrahymena thermophila

description: Additional file 13: Table S4. Primers used in this study.
DOI: 10.6084/m9.figshare.13532609.v1
title: Additional file 13 of Comparative transcriptome analysis uncovers roles of hydrogen sulfide for alleviating cadmium toxicity in Tetrahymena thermophila

description: Additional file 13: Table S4. Primers used in this study.
DOI: 10.15468/dl.qq2dck
title: Occurrence Download

description: A dataset containing 157575 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-92.48291015625 -2.093527873692849, -92.48291015625 2.0364366052525122, -88.6376953125 2.0364366052525122, -88.6376953125 -2.093527873692849, -92.48291015625 -2.093527873692849))"
 ]
}

 The dataset includes 157575 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004520-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2c8cdd
title: Occurrence Download

description: A dataset listing the 24 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.71522 19.45599,-98.50401 19.28258,-98.22002 19.17868,-98.03188 19.22561,-97.79404 19.29599,-97.82954 19.40651,-98.02833 19.55711,-98.27327 19.69085,-98.54483 19.70349,-98.71522 19.45599))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crassulaceae"
 ]
}

 The dataset's 24 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020915-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.