cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6704543
title: Effects of laparoscopic surgery on survival, quality of care and utilization in patients with colon cancer: a population-based study

description: <b>Objective:</b> Laparoscopy is a safe and effective treatment for colon cancer. However, its effects on short- and long-term health outcomes and medical utilization are not fully elucidated. This study aimed to compare short- and long-term utilization and health outcomes of colon cancer patients who underwent either laparoscopic or open surgery in a population-based cohort. <b>Methods:</b> This study was conducted by linking data from Taiwan Cancer Registry, National Health Insurance claims and Death Registry. Patients aged 18 and older with colon cancer between 2009 and 2012 were included in the study. Propensity score matching was used to minimize selection bias between laparoscopic and open surgery groups. Cox proportional hazard regression and generalized linear mixed logistic regression were used to test hypotheses. <b>Results:</b> Among the 11,269 colon cancer patients who underwent colectomy, 3236 (28.72%) received laparoscopy and 8033 (71.28%) underwent open surgery. Patients who received laparoscopic surgery had better overall survival (HR = 0.82; 95% CI: 0.70–0.97). These patients also had lower 30 day mortality (0.44% vs. 0.91%), lower 1 year mortality (2.83% vs. 4.68%), lower overall occurrence of complications (6.16% vs. 8.77%), shorter mean length of stay (12.53 vs. 14.93 days) and lower cost for index hospitalization (US$4325.34 vs. US$4453.90). No significant differences were observed in medical utilization over a period of 365 days after the surgery. <b>Conclusions:</b> Our results demonstrate that, in both the short- and long-term post-operation periods, laparoscopic surgery reduced the likelihood of postoperative complications, 30 day, and 1 year mortality while being no more expensive than open surgery for colon cancer.
DOI: 10.6084/m9.figshare.6704543.v1
title: Effects of laparoscopic surgery on survival, quality of care and utilization in patients with colon cancer: a population-based study

description: <b>Objective:</b> Laparoscopy is a safe and effective treatment for colon cancer. However, its effects on short- and long-term health outcomes and medical utilization are not fully elucidated. This study aimed to compare short- and long-term utilization and health outcomes of colon cancer patients who underwent either laparoscopic or open surgery in a population-based cohort. <b>Methods:</b> This study was conducted by linking data from Taiwan Cancer Registry, National Health Insurance claims and Death Registry. Patients aged 18 and older with colon cancer between 2009 and 2012 were included in the study. Propensity score matching was used to minimize selection bias between laparoscopic and open surgery groups. Cox proportional hazard regression and generalized linear mixed logistic regression were used to test hypotheses. <b>Results:</b> Among the 11,269 colon cancer patients who underwent colectomy, 3236 (28.72%) received laparoscopy and 8033 (71.28%) underwent open surgery. Patients who received laparoscopic surgery had better overall survival (HR = 0.82; 95% CI: 0.70–0.97). These patients also had lower 30 day mortality (0.44% vs. 0.91%), lower 1 year mortality (2.83% vs. 4.68%), lower overall occurrence of complications (6.16% vs. 8.77%), shorter mean length of stay (12.53 vs. 14.93 days) and lower cost for index hospitalization (US$4325.34 vs. US$4453.90). No significant differences were observed in medical utilization over a period of 365 days after the surgery. <b>Conclusions:</b> Our results demonstrate that, in both the short- and long-term post-operation periods, laparoscopic surgery reduced the likelihood of postoperative complications, 30 day, and 1 year mortality while being no more expensive than open surgery for colon cancer.
DOI: 10.15468/dl.75eu9n
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083915-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxkk2r
title: Occurrence Download

description: A dataset containing 129500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Vespa velutina Lepeletier, 1836"
 ]
}

 The dataset includes 129500 records from 858 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083908-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9jnn2
title: Occurrence Download

description: A dataset containing 4174 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Setina irrorella (Linnaeus, 1758)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 4174 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083916-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hag28h
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083917-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yaqwyq
title: Occurrence Download

description: A dataset containing 23781 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Nudaria mundana (Linnaeus, 1761)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 23781 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083918-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgf869
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083919-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hvp6t2cfww.1
title: ASCD Figures and Figures Captions

description: Figures and Tables Captions of ASCD
DOI: 10.17632/wfbrvxm7v6.1
title: 3D Mathematical Modeling of Placement in UAV-Enabled Communications: A Systematic Mapping Study

description: This repository contains the data extracted from the papers in the systematic literature mapping of the approach to solving the 3D UAV optimal placement problem and the information obtained throughout the study. Please read the associated paper for a complete understanding of this data.
DOI: 10.17632/wfbrvxm7v6.2
title: 3D Placement Optimization in UAV-Enabled Communications: A Systematic Mapping Study

description: This repository contains the data extracted from the papers in the systematic literature mapping of the approach to solving the 3D UAV optimal placement problem and the information obtained throughout the study. Please read the associated paper for a complete understanding of this data.
DOI: 10.17632/h6rn7jb8b9.1
title: Link Between Volatility of Commodity Prices and Commodity Dependence on Selected Sub-Saharan Countries

description: The balanced annual panel data for 32 sub-Saharan countries from 2000 to 2020 was used for this study. The countries and period of study was informed by availability of data of interest. Specifically, 11 agricultural commodity dependent countries, 7 energy commodity dependent countries and 14 mineral and metal ore dependent countries were selected (Appendix 1). The annual data comprised of agricultural commodity prices, global oil prices (GOP) and mineral and metal ore prices, export value of the dependent commodity, total export value of the country, real GDP (RGDP) and terms of trade (TOT). The data for export value of the dependent commodity, total export value of the country, real GDP and terms of trade was sourced from world bank database (World Development Indicators). Data for agricultural commodity prices, global oil prices (GOP) and mineral and metal ore prices are obtained from World Bank commodity price data portal. This study used data from global commodity prices from the World Bank's commodity price data site since the error term (endogenous) is connected with each country's commodity export price index. The pricing information covered agricultural products, world oil, minerals, and metal ores. One benefit of adopting international commodity prices, according to Deaton and Miller (1995), is that they are frequently unaffected by national activities. The utilization of studies on global commodity prices is an example (Tahar et al., 2021). The commodity dependency index of country i at time i was computed as the as the ratio of export value of the dependent commodity to the total export value of the country. The commodity price volatility is estimated using standard deviation from monthly commodity price index to incorporate monthly price variation (Aghion et al., 2009). This approach addresses challenges of within the year volatility inherent in the annual data. In footstep of Arezki et al. (2014) and Mondal & Khanam (2018), standard deviation is used in this study as a proxy of commodity price volatility. The standard deviation is used because of its simplicity and it is not conditioned on the unit of measurement.
DOI: 10.17632/n8fvdmfjyt.1
title: Relationship between Commodity Dependence and Macroeconomic Variables on Selected Sub-Saharan Countries

description: Extant literature document different indicators as measures of macroeconomic performance (Afxentious and Serletis, 1996). This study used economic growth proxied by real GDP sourced from World Development Indicators. Economic growth has been used because it’s the most common variable used to measure macroeconomic performance (Bidarkota and Crucini, 2014). Other data for the study were sourced from WDI and were exports, imports, gross capital formation (% of GDP), population growth (annual %), and mineral and metal ores rent of the country of interest. The Commodity Dependence Index (〖CDI〗_(i,t) ) of country i at time t was computed as the as the ratio of export value of the dependent commodity to the total export value of the country. According to Carmignani (2010), different measures of commodity dependence yield different prediction accuracies that are largely influenced by the interaction of the fixed effects measures with the endogenous variables. As such, the present study will employ the aforementioned CDI for the various subcategories of commodity dependent SSA countries because it is influenced less by interaction of the fixed effects measures with the endogenous variables. Thus, a balanced annual panel data for 32 sub-Saharan countries from 2000 to 2020 was used for this study. The countries and period of study was informed by availability of data of interest. Specifically, 11 agricultural commodity dependent countries, 6 energy commodity dependent countries and 14 mineral and metal ore dependent countries were selected (Appendix 1).
DOI: 10.17632/b6jnvpfby4.1
title: An Innovative Approach to Modeling Ion Adsorption on Mixed Minerals: Investigating the Charging Behavior of Kaolinite-Goethite Mixture

description: Raw data of the charging behavior of goethite, kaolinite and their mixture are presented here. These data are submitted to "geochimica et cosmochimica acta" via the manuscript "An Innovative Approach to Modeling Ion Adsorption on Mixed Minerals: Investigating the Charging Behavior of Kaolinite-Goethite Mixture".
DOI: 10.5281/zenodo.10258965
title: SARMOYALASH VA SARMOYALASHNI AMALGA OSHIRISH BOSQICHLAR
DOI: 10.5281/zenodo.10258966
title: SARMOYALASH VA SARMOYALASHNI AMALGA OSHIRISH BOSQICHLAR
DOI: 10.17632/2pn963jn6y.1
title: Vertebrate olfactory cilia and sensory neuron differentiation is programmed by the forkhead domain transcription factor Foxj1

description: This folder contains the raw data pertaining to our manuscript titled "Vertebrate olfactory cilia and sensory neuron differentiation is programmed by the forkhead domain transcription factor Foxj1" by Rayamajhi, Ege et al. 2023 Raw data associated to each figure is compiled under their own folder. The confocal images used in the figures, the raw data and the the matlab code used to plot graphs can be accessed. For questions: Correspondence: nathalie.jurisch-yaksi@ntnu.no
DOI: 10.17632/yxj2mtmthd.1
title: TLR3, TLR7, and TLR8 genes expression in COVID-19 patients

description: The prognosis of COVID-19 could influence by innate immune sensors such as toll-like receptors (TLRs). The purpose of this data was to investigate TLR3, 7, and 8 expression levels in COVID-19 patients and their relationship to outcome of disease. 75 confirm COVID-19 were included sequentially and sepa- rated into three groups: mild, severe, and critical. Peripheral blood mononuclear cells were isolated from the whole blood, and RNA was then extracted. The qRT-PCR technique was used to examine the expression of TLR3, TLR7, and TLR8 genes. The patients’ average ages were 52.69 1.9. 13 of the 25 individuals in each group were male. TLR3 (p &lt; 0.001), TLR7 (p &lt; 0.001), and TLR8 (p &lt; 0.001) expression levels were considerably greater in COVID-19 patients compared to the control group. The findings also showed that individuals with critical and severe COVID-19 disease had signifi- cantly greater TLR7 and TLR8 gene expression levels than patients in mild stage of disease (p &lt; 0.05). The data showed a significant difference (p = 0.01) in the TLR3 transcript levels between critical and mild COVID-19 patients. Furthermore, male severe (p = 0.02) and critical (p = 0.008) patients had significantly higher TLR8 expression levels than female patients in terms of gender. TLR3 (p = 0.2) and TLR7 (p = 0.08) transcripts were more elevated in males than females, but not significantly.
DOI: 10.5281/zenodo.10258980
title: EFFECT OF DIEXIS IN TRANSLATION.
DOI: 10.5281/zenodo.10258979
title: EFFECT OF DIEXIS IN TRANSLATION.
DOI: 10.5281/zenodo.10258993
title: DEVELOPMENT OF INTELLIGENCE IN STUDENTS AND TEACHERS OF PRIMARY SCHOOLS
DOI: 10.5281/zenodo.10258994
title: DEVELOPMENT OF INTELLIGENCE IN STUDENTS AND TEACHERS OF PRIMARY SCHOOLS
DOI: 10.5281/zenodo.10259011
title: EFFECTIVENESS OF REHABILITATION PROGRAMS IN COMPLEX TREATMENT OF EARLY OSTEOARTHRITIS
DOI: 10.5281/zenodo.10259012
title: EFFECTIVENESS OF REHABILITATION PROGRAMS IN COMPLEX TREATMENT OF EARLY OSTEOARTHRITIS
DOI: 10.57745/yfhr4f
title: trajectoire.txt

description: #ID;time;x;y;z;name;ID
DOI: 10.17632/r3ytdx96yh.1
title: Effects of Lycium barbarum polysaccharides supplemented to high soybean meal diet on immunity and hepatic health of spotted sea bass Lateolabrax maculatus

description: Liver transcriptome outcome data and raw data
DOI: 10.17632/xpstgc9hbx.1
title: Development of hybrid MOF@biomass for ternary adsorption of tetracyclines antibiotics in water: Physical interpretation of the adsorption mechanism (dataset).

description: adsorbent dose study pH study Kinetics Thermodynamic Extended isotherm Physical-stadistical isotherm Adsorption energy
DOI: 10.25375/uct.24721206
title: West coast rock lobster catch-at-length sample sizes

description: This document reports the samples sizes and the approximate number of samples associated with the catch-at-length data used in the assessment models for catch-at-length data as well as F% data. For the commercial trap and hoopnet data, the approximate number of samples is calculated by dividing the total sample size by 200, as this was the rough number of lobsters each sample was requested to be.The decision that needs to be made is if any of these data should be excluded from the model fitting process due to sample size being too small? The authors have shaded commercial trap and hoopnet data that have an approximate number of samples less than 5 (i.e. relates to less than 1000 total lobster sampled), and recommend that these data not be included in the model fitting process. These suggestions have been implemented in the operating models reported in Johnston and Butterworth (2011).
DOI: 10.25375/uct.24721206.v1
title: West coast rock lobster catch-at-length sample sizes

description: This document reports the samples sizes and the approximate number of samples associated with the catch-at-length data used in the assessment models for catch-at-length data as well as F% data. For the commercial trap and hoopnet data, the approximate number of samples is calculated by dividing the total sample size by 200, as this was the rough number of lobsters each sample was requested to be.The decision that needs to be made is if any of these data should be excluded from the model fitting process due to sample size being too small? The authors have shaded commercial trap and hoopnet data that have an approximate number of samples less than 5 (i.e. relates to less than 1000 total lobster sampled), and recommend that these data not be included in the model fitting process. These suggestions have been implemented in the operating models reported in Johnston and Butterworth (2011).
DOI: 10.6084/m9.figshare.23215034
title: Code and data for Vision-HD

description: The program deployment is included in the code_VisionHD.zip The data is derived from Argoverse2 and include images, segmented images and HD Map lane markings.
DOI: 10.25375/uct.24721113
title: Updates to the 2011 Tristan da Cunha group of islands assessment models and final assessment results

description: Johnston and Butterworth (2011a and b) provided input data and stock assessment details for the Tristan da Cunha group of islands. Recently, three further year’s catch-at-length data have become available and are listed here (Tables 1a-d).The authors have also used the longline catch-and-effort database from the three outer islands to calculate a “discard percentage” for each season 1997-2008. These data are listed in this document (Table 2).
DOI: 10.25375/uct.24721113.v1
title: Updates to the 2011 Tristan da Cunha group of islands assessment models and final assessment results

description: Johnston and Butterworth (2011a and b) provided input data and stock assessment details for the Tristan da Cunha group of islands. Recently, three further year’s catch-at-length data have become available and are listed here (Tables 1a-d).The authors have also used the longline catch-and-effort database from the three outer islands to calculate a “discard percentage” for each season 1997-2008. These data are listed in this document (Table 2).
DOI: 10.5281/zenodo.10016169
title: Species-specific proteotypic peptides for characterization of non-tuberculosis mycobacteria

description: Non-tuberculous mycobacteria are opportunistic bacteria that closely resemble Mycobacterium tuberculosis, causing respiratory infections in humans. While genotyping through genome sequencing is found accurate in detecting mycobacterial species but struggles with distinguishing bacterial co-infection. These challenges lead to delayed therapeutic intervention, drug resistance, and disease complications. Lately, mass spectrometry-based (MALDI-TOF-MS) proteomics has routinely been used in diagnosing mycobacterial species in clinical samples. However, it suffers accurate species detection owing to extensive bacterial cultures and poor specificity in polymicrobial infections. In contrast, due to its sensitivity, LC-MS/MS based proteomics is widely employed for accurate bacterial proteome mapping. In this study, in-depth proteomics of 9 NTM species with proteome database searches of 26 datasets was used. In total 20 million peptide spectrum matches were identified aiding to ≥40% proteome coverage in 7 NTMs with highest in M. abscessus. Further, metaproteomic analysis and rescoring of peptides resulted in high-confidence species-specificity proteotypic peptides in M. smegmatis (2342), M. vaccae (960), M. abscessus (75), M. avium subsp. paratuberculosis (3) and M. fortuitum (1). Finally, database search results were converted to spectral library format for easier future usage in targeted proteomic workflows. This workflow in deriving species-specific peptides with high confidence can be extended in distinguishing closely related bacterial species for enhancing microbial diagnostics.
DOI: 10.5281/zenodo.10016170
title: Species-specific proteotypic peptides for characterization of non-tuberculosis mycobacteria

description: Non-tuberculous mycobacteria are opportunistic bacteria that closely resemble Mycobacterium tuberculosis, causing respiratory infections in humans. While genotyping through genome sequencing is found accurate in detecting mycobacterial species but struggles with distinguishing bacterial co-infection. These challenges lead to delayed therapeutic intervention, drug resistance, and disease complications. Lately, mass spectrometry-based (MALDI-TOF-MS) proteomics has routinely been used in diagnosing mycobacterial species in clinical samples. However, it suffers accurate species detection owing to extensive bacterial cultures and poor specificity in polymicrobial infections. In contrast, due to its sensitivity, LC-MS/MS based proteomics is widely employed for accurate bacterial proteome mapping. In this study, in-depth proteomics of 9 NTM species with proteome database searches of 26 datasets was used. In total 20 million peptide spectrum matches were identified aiding to ≥40% proteome coverage in 7 NTMs with highest in M. abscessus. Further, metaproteomic analysis and rescoring of peptides resulted in high-confidence species-specificity proteotypic peptides in M. smegmatis (2342), M. vaccae (960), M. abscessus (75), M. avium subsp. paratuberculosis (3) and M. fortuitum (1). Finally, database search results were converted to spectral library format for easier future usage in targeted proteomic workflows. This workflow in deriving species-specific peptides with high confidence can be extended in distinguishing closely related bacterial species for enhancing microbial diagnostics.
DOI: 10.25625/mbtke7/ftbof7
title: online appendix 4 rosi documentation.pdf

description: :unav