cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28041110
title: <b>Exploring blood diagnostic markers for diabetic nephropathy through metabolomics and machine learning</b>

description: <b>Introduction</b> Diabetic nephropathy (DN) is a specific complication of diabetes accompanied, posing a significant challenge to global public health. However, there are still many deficiencies in clinical detection. In this article, we aimed to identify potential biomarkers and explore the mechanisms underlying diabetic nephropathy (DN) by metabolomics studies and machine learning algorithms.<b>Methods</b> In this study, blood samples were collected from patients with type 2 diabetes mellitus as well as healthy subjects, and the changes in plasma metabolic profiles were investigated based on the LC-MS/MS technique and the machine-learning approach.<b>Results</b>Metabolomics analysis showed that metabolites changed in DN patients at different stages, and pathway enrichment analysis indicated that such changes were mainly in pyrimidine metabolism, fructose and mannose metabolism, and steroid hormone biosynthesis. Combined with machine learning analysis, a total of three potential biomarkers were screened and identified, includingsorbitol, adipic acid and N-Ribosylhistidine, which were all closely associated with urinary albumin creatinine ratio (UACR) and serum creatinine (SCr). Meanwhile, multiple reaction monitoring (MRM) analysis verified the expression level of the candidate marker sorbitol, which was elevated in patients with DN.<b>Conclusion</b> This study identified three candidate biomarkers and investigated the pathogenesis of DN, offering novel insights into its diagnosis and prevention.
DOI: 10.6084/m9.figshare.28041110.v1
title: <b>Study on blood diagnostic markers of diabetic nephropathy based on </b><b>metabolomics</b><b> and machine learning</b>

description: <b>Aim: </b>To identify potential biomarkers and explore the mechanisms underlying diabetic nephropathy (DN) by non-targeted metabolomics studies and machine learning algorithms.<b>Materials and methods: </b>In this study, blood samples were collected from 51 patients with type 2 diabetes mellitus (which will be divided into 21 in the normal albuminuria (NA) group, 13 in the microalbuminuria (MI) group, 11 in the massive albuminuria (MA) group and 6 in the Kidney Failure (KF) group based on the amounts of urinary proteins and the diagnostic record on admission) as well as 26 healthy subjects, and then performed metabolomics experiments on them.<b>Results: </b>The results showed that pyrimidine metabolism, fructose and mannose metabolism, steroid hormone biosynthesis were closely related to the progression of DN. Three metabolites (sorbitol, adipic acid, and N-Ribosylhistidine) were finally identified as potential biomarkers by machine learning algorithms, and all of them were positively correlated with urinary albumin creatinine ratio (UACR) and serum creatinine (SCr).<b>Conclusions: </b>This study successfully screened three differential metabolites as a set of potential DN biomarkers and estimated them to have good predictive performance by receiver operating characteristic curve (ROC) modeling, which provides new perspectives for early diagnosis and probing of disease mechanisms of DN.
DOI: 10.15468/dl.js3r4c
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fraxinus pennsylvanica Marshall"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028425-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87b2ay
title: Occurrence Download

description: A dataset containing 4166417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calypte anna (R.Lesson, 1829))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4166417 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028409-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tncep5
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morisonia cynophallophora (L.) Christenh. & Byng"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028426-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/28786166
title: Efficient Algorithms for the Construction of QC-LDPC Codes from a Girth and Cycle Analysis

description: Quasi-cyclic low-density parity-check (QC-LDPC) codes constitute a subclass of LDPC codes that enjoys significant relevance for application purposes due in part to their ability to be described compactly, and the existence of efficient encoding and decoding algorithms. They now appear in industry standards and are used in many settings, such as deep-space, satellite, cellular, and wireless communications. One way to construct QC-LDPC codes is by taking an N-fold graph cover, called Tanner graph, of a relatively small bipartite graph, called protograph, and imposing the condition that the permutation matrices assigned to the edges are circulant permutation matrices. Certain substructures in the Tanner graph play a fundamental role in determining the performance of the code under iterative decoding algorithms. A question that arises is whether it is possible to reduce, or eliminate, these undesirable substructures. Solving the following problem, in the case of QC-LDPC codes, can help to answer this question: What is the smallest positive integer N for which there exists a QC-LDPC code with blocklength n_vN and girth g constructed from a protograph G having an n_c x n_v biadjacency matrix B?

In this dissertation, we investigate four projects that are related to this problem. First, we determine the necessary and sufficient conditions required to obtain a desired girth in the Tanner graph of QC-LDPC codes. We provide some efficient algorithms to generate these conditions. Second, we provide a general formula to count the number of k-cycles, N_k, for k &lt; 2g, in the Tanner graph of QC-LDPC codes. This formula works for both regular and irregular protographs. We present an efficient strategy to calculate N_k. Third, we modify the progressive edge-growth (PEG) algorithm using the necessary and sufficient girth conditions in the form of forbidden sets and propose four efficient construction strategies of QC-LDPC codes. Fourth, we present a promising connection between the lifting factor N (and therefore the blocklength of a QC-LDPC code) and the product of the pivots of the Hermite normal form of a matrix constructed from certain substructures in the protograph called tailless backtrackless closed walks. This connection is presented as a conjecture and appears to be a necessary condition to answer the problem stated above.
DOI: 10.7274/28786166.v1
title: Efficient Algorithms for the Construction of QC-LDPC Codes from a Girth and Cycle Analysis

description: Quasi-cyclic low-density parity-check (QC-LDPC) codes constitute a subclass of LDPC codes that enjoys significant relevance for application purposes due in part to their ability to be described compactly, and the existence of efficient encoding and decoding algorithms. They now appear in industry standards and are used in many settings, such as deep-space, satellite, cellular, and wireless communications. One way to construct QC-LDPC codes is by taking an N-fold graph cover, called Tanner graph, of a relatively small bipartite graph, called protograph, and imposing the condition that the permutation matrices assigned to the edges are circulant permutation matrices. Certain substructures in the Tanner graph play a fundamental role in determining the performance of the code under iterative decoding algorithms. A question that arises is whether it is possible to reduce, or eliminate, these undesirable substructures. Solving the following problem, in the case of QC-LDPC codes, can help to answer this question: What is the smallest positive integer N for which there exists a QC-LDPC code with blocklength n_vN and girth g constructed from a protograph G having an n_c x n_v biadjacency matrix B?

In this dissertation, we investigate four projects that are related to this problem. First, we determine the necessary and sufficient conditions required to obtain a desired girth in the Tanner graph of QC-LDPC codes. We provide some efficient algorithms to generate these conditions. Second, we provide a general formula to count the number of k-cycles, N_k, for k &lt; 2g, in the Tanner graph of QC-LDPC codes. This formula works for both regular and irregular protographs. We present an efficient strategy to calculate N_k. Third, we modify the progressive edge-growth (PEG) algorithm using the necessary and sufficient girth conditions in the form of forbidden sets and propose four efficient construction strategies of QC-LDPC codes. Fourth, we present a promising connection between the lifting factor N (and therefore the blocklength of a QC-LDPC code) and the product of the pivots of the Hermite normal form of a matrix constructed from certain substructures in the protograph called tailless backtrackless closed walks. This connection is presented as a conjecture and appears to be a necessary condition to answer the problem stated above.
DOI: 10.15468/dl.4z6xe9
title: Occurrence Download

description: A dataset containing 38305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streptopelia decaocto (Frivaldszky, 1838)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 38305 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028427-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w33g2n
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ludwigia ×kentiana E.J.Clement"
 ]
}

 The dataset includes 55 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028428-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnfygy
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Furcraea foetida (L.) Haw."
 ]
}

 The dataset includes 86 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028429-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/28792583
title: Computational Insights into Aluminum Proximity in CHA and MFI Zeolites: Implications for Catalyst Optimization

description: Zeolites, microporous aluminosilicate materials with well-defined channels and cavities, exhibit catalytic properties strongly influenced by the proximity and distribution of aluminum (Al) within their frameworks. Despite extensive research, the precise identity and quantity of Al proximity in different zeolite compositions and under various synthesis conditions remain elusive. In this dissertation, I employ supercell density functional theory (DFT) models to identify Ba2+ as a titrant for probing Al proximity in CHA and MFI zeolites. Additionally, Monte Carlo and a gragh networking model are utilized to investigate the thermodynamics governing heteroatom (e.g., Al) distributions in these zeolite structures, enabling predictions of Al arrangement. Through a combination of Ba and Co titrations and advanced computational models, this work bridges the microscopic details of Al proximity with the macroscopic composition of zeolites. The methodologies presented here can be extended to other zeolites and are also underscores the development of computational tools, in conjunction with experimental techniques like the Ba2+ exchange method, as a promising pathway for tailoring zeolite catalysts for specific applications.
DOI: 10.7274/28792583.v1
title: Computational Insights into Aluminum Proximity in CHA and MFI Zeolites: Implications for Catalyst Optimization

description: Zeolites, microporous aluminosilicate materials with well-defined channels and cavities, exhibit catalytic properties strongly influenced by the proximity and distribution of aluminum (Al) within their frameworks. Despite extensive research, the precise identity and quantity of Al proximity in different zeolite compositions and under various synthesis conditions remain elusive. In this dissertation, I employ supercell density functional theory (DFT) models to identify Ba2+ as a titrant for probing Al proximity in CHA and MFI zeolites. Additionally, Monte Carlo and a gragh networking model are utilized to investigate the thermodynamics governing heteroatom (e.g., Al) distributions in these zeolite structures, enabling predictions of Al arrangement. Through a combination of Ba and Co titrations and advanced computational models, this work bridges the microscopic details of Al proximity with the macroscopic composition of zeolites. The methodologies presented here can be extended to other zeolites and are also underscores the development of computational tools, in conjunction with experimental techniques like the Ba2+ exchange method, as a promising pathway for tailoring zeolite catalysts for specific applications.
DOI: 10.5281/zenodo.17017968
title: Application of semiempricial quantum mechanical methods to accurately estimate ligand binding structure in biological systems: protein kinase case study
DOI: 10.5281/zenodo.17590775
title: Application of semiempricial quantum mechanical methods to accurately estimate ligand binding structure in biological systems: protein kinase case study
DOI: 10.15468/dl.geqdap
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.04844 37.11036,-2.02819 37.11036,-2.02819 37.13509,-2.04844 37.13509,-2.04844 37.11036))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 116 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011029-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agehfj
title: Occurrence Download

description: A dataset containing 1520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-12.87391 35.14693,-5.9508 35.14693,-5.9508 39.73402,-12.87391 39.73402,-12.87391 35.14693))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dinophysis Ehrenberg, 1839"
 ]
}

 The dataset includes 1520 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011030-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pc84ce
title: Occurrence Download

description: A dataset containing 1520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-12.87391 35.14693,-5.9508 35.14693,-5.9508 39.73402,-12.87391 39.73402,-12.87391 35.14693))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dinophysis Ehrenberg, 1839"
 ]
}

 The dataset includes 1520 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011031-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qe3kcm
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Belencita nemorosa (Jacq.) Dugand"
 ]
}

 The dataset includes 451 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010852-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5067/viirs/vj109.002
title: VIIRS/JPSS1 Atmospherically Corrected Surface Reflectance 6-Min L2 Swath 375m, 750m
DOI: 10.5067/aloft/exrad_scan/data101
title: ALOFT EXRAD_SCAN
DOI: 10.15468/dl.6qkmc2
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cosmos caudatus",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028079-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atuqyz
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cosmos caudatus",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 342 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028080-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4wxub
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Elysia viridis"
 ]
}

 The dataset includes 35 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028083-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gddyc5
title: Occurrence Download

description: A dataset containing 13045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Solidago flexicaulis"
 ]
}

 The dataset includes 13045 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028081-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62unwd
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Roeboides guatemalensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028084-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1088112
title: Images and Report from Historic Building Recording at Hall Barns Farm, Stonyhurst, Lancashire March 2021

description: This collection comprises a report and site photographs from the Grade II Listed barn at Hall Barns Farm, Stonyhurst College, Lancashire. Historic Building Recording was carried out by FAS Heritage on behalf of Carter Jonas for Stonyhurst Estate in March 2021, prior to repair work.
DOI: 10.15468/dl.tw666q
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cosmos caudatus",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028085-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttf35r
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cosmos caudatus",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028086-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17864/1947.001450
title: Reflections on the journey towards outstanding: developing positive orientations to diversity in an urban primary school

description: The data are three interviews with staff members of a primary school which had moved from OFSTED requires improvement to OFSTED outstanding grading between 2019 and 2023.
DOI: 10.5281/zenodo.16750953
title: Breathing Motion Data for "Impact of the breathing motion prediction horizon on the performance of bidirectional classical recurrent neural and temporal Kolmogorov-Arnold networks"

description: Breathing motion data as supplementary data to "Impact of the breathing motion prediction horizon on the performance of bidirectional classical recurrent neural and temporal Kolmogorov-Arnold networks"
DOI: 10.5281/zenodo.16750954
title: Breathing Motion Data for "Impact of the breathing motion prediction horizon on the performance of bidirectional classical recurrent neural and temporal Kolmogorov-Arnold networks"

description: Breathing motion data as supplementary data to "Impact of the breathing motion prediction horizon on the performance of bidirectional classical recurrent neural and temporal Kolmogorov-Arnold networks"
DOI: 10.15468/dl.w4kzgv
title: Occurrence Download

description: A dataset containing 367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris alpina",
 "Year 2020-2025"
 ]
}

 The dataset includes 367 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028087-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bpy8g
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CHN.6.4_1, CHN.6.15_1, CHN.6.21_1, CHN.6.3_1, CHN.6.6_1, CHN.6.2_1, CHN.6.20_1, CHN.6.7_1, CHN.6.19_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calidris alpina",
 "Year 2020-2025"
 ]
}

 The dataset includes 100 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028088-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.