cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16793169
title: High and dry: Environmental conditions drive opportunities for disease transmission in desert bighorn sheep.

description: Data and code associated with the manuscript: 



High and dry: Environmental conditions drive opportunities for disease transmission in desert bighorn sheep
description: This repository contains processed data and analytical code supporting the manuscript "High and dry: Environmental conditions drive opportunities for disease transmission in desert bighorn sheep" by Meza et al. The dataset includes association index metrics, environmental covariates (NDVI, temperature, precipitation) per population and month, as well as derived variables from GPS tracking of 123 desert bighorn sheep across eight populations in the Mojave Desert (November 2020 to November 2021).

The repository provides: (1) processed contact strength matrices and network statistics for three temporal scales (10-day, 18-day, and 42-day networks); (2) population-level environmental data extracted from MODIS, PRISM, and SRTM sources; (3) R code for Bayesian zero-inflated beta regression models using brms; (4) network analysis scripts using igraph; and (5) data visualisation and statistical analysis scripts.

Raw GPS coordinates are not included due to species protection requirements. Processed data preserves analytical utility while protecting sensitive location information.
DOI: 10.5281/zenodo.16793168
title: High and dry: Environmental conditions drive opportunities for disease transmission in desert bighorn sheep.

description: Data and code associated with the manuscript: 



High and dry: Environmental conditions drive opportunities for disease transmission in desert bighorn sheep
description: This repository contains processed data and analytical code supporting the manuscript "High and dry: Environmental conditions drive opportunities for disease transmission in desert bighorn sheep" by Meza et al. The dataset includes association index metrics, environmental covariates (NDVI, temperature, precipitation) per population and month, as well as derived variables from GPS tracking of 123 desert bighorn sheep across eight populations in the Mojave Desert (November 2020 to November 2021).

The repository provides: (1) processed contact strength matrices and network statistics for three temporal scales (10-day, 18-day, and 42-day networks); (2) population-level environmental data extracted from MODIS, PRISM, and SRTM sources; (3) R code for Bayesian zero-inflated beta regression models using brms; (4) network analysis scripts using igraph; and (5) data visualisation and statistical analysis scripts.

Raw GPS coordinates are not included due to species protection requirements. Processed data preserves analytical utility while protecting sensitive location information.
DOI: 10.15468/dl.7mbcr5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Potamonautes infravallatus, Arcopotamonautes infravallatus, Potamonautes isimangaliso, Potamonautes jeanneli, Rotundopotamonautes jeanneli, Potamonautes johnstoni, Arcopotamonautes johnstoni, Potamonautes kensleyi, Potamonautes langi, Platythelphusa langi, Potamonautes lipkei, Occidensonautes lipkei, Potamonautes lirrangensis, Acanthothelphusa lirrangensis, Potamonautes lividus, Potamonautes loashiensis, Rotundopotamonautes loashiensis, Potamonautes loveni, Rotundopotamonautes loveni, Potamonautes loveridgei, Potamonautes macrobrachii, Potamonautes margaritarius, Nesonautes margaritarius, Potamonautes mhlophe, Potamonautes minor, Rotundopotamonautes minor, Potamonautes montivagus, Potamonautes mulanjeensis, Potamonautes mutandensis, Rotundopotamonautes mutandensis, Potamonautes neumanni, Rotundopotamonautes neumanni, Potamonautes ngoyensis, Potamonautes niloticus, Acanthothelphusa niloticus, Potamonautes ntendekaensis, Potamonautes odhneri, Rotundopotamonautes odhneri, Potamonautes paecilei, Longipotamonautes paecilei, Potamonautes parvicorpus, Potamonautes parvispina, Potamonautes perlatus, Potamonautes perparvus, Rotundopotamonautes perparvus, Potamonautes pilosus, Rotundopotamonautes pilosus, Potamonautes platycentron, Arcopotamonautes platycentron, Potamonautes platynotus, Arcopotamonautes platynotus, Potamonautes raybouldi, Arcopotamonautes raybouldi, Potamonautes reidi, Longipotamonautes reidi, Potamonautes rodolphianus, Rotundopotamonautes rodolphianus, Potamonautes rukwanzi, Rotundopotamonautes rukwanzi, Potamonautes senegalensis, Occidensonautes senegalensis, Potamonautes sidneyi, Potamonautes stanleyensis, Acanthothelphusa stanleyensis, Potamonautes subukia, Rotundopotamonautes subukia, Potamonautes suprasulcatus, Potamonautes triangulus, Occidensonautes triangulus, Potamonautes tuerkayi, Potamonautes unispinus, Potamonautes walderi, Acanthothelphusa walderi, Potamonautes warreni, Potamonautes williamsi, Rotundopotamonautes williamsi, Potamonemus mambilorum, Potamonemus sachsi, Procambarus clarkii, Seychellum alluaudi, Seychellum mahefregate, Seychellum silhouette, Skelosophusa gollardi, Skelosophusa prolixa, Sudanonautes africanus, Sudanonautes aubryi, Sudanonautes chavanesii, Sudanonautes faradjensis, Sudanonautes floweri, Sudanonautes granulatus, Sudanonautes kagoroensis, Sudanonautes monodi, Sudanonautes nigeria, Sudanonautes orthostylis, Sudanonautes sangha, Thermodiaptomus galeboides, Tropodiaptomus ctenopus, Tropodiaptomus neumanni, Tropodiaptomus simplex)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((37.1 -47.075,37.1382 -47.1134,37.1382 -46.9324,37.1 -47.075))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031080-250827131500795/datasets/export for details.
DOI: 10.15468/dl.edmw7f
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Distichodus petersii)",
 "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 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031081-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xewc8d
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crotalaria ochroleuca",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031084-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ng39yg
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crotalaria ochroleuca",
 "Country is Eswatini",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031083-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzbysk
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crotalaria ochroleuca",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 56 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031087-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-xeg-y3fd
title: Hoofdweg 60 Rilland Hoofdweg 60. Gemeente Reimerswaal. Archeologisch Bureauonderzoek en Inventariserend Veldonderzoek door middel van verkennende boringen

description: &lt;p&gt;In april 2018 is een archeologisch bureauonderzoek (OM 4601653100) en inventariserend veldonderzoek door middel van verkennende boringen (OM 4606092100) uitgevoerd voor een plangebied in het westen van Rilland, in de gemeente Reimerswaal.&lt;/p&gt;&lt;p&gt;Uit het onderzoek is gebleken dat de ondergrond ter plaatse van het plangebied bestaat uit een gelaagde opbouw met kwelder- op wadafzettingen (klei op zand) van het Laagpakket van Walcheren op kleiafzettingen van de Kreekrak Formatie. De begrenzing tussen het Laagpakket van Walcheren en de Kreekrak Formatie is vastgesteld op een diepte tussen 3,7 en 3,95 m -mv (1,95 en 2,34 m -NAP). Deze zijn ontwikkeld bovenop het veen van de Formatie van Nieuwkoop (Basisveen) (aangetroffen op een diepte van 4,55 m -mv (2,94 m -NAP). Het Laagpakket van Wierden kon niet vastgesteld worden omdat het beneden de maximale haalbare boordiepte van 5,2 m -mv (3,59 m -NAP) lag. Zowel de Kreekrak Formatie als de Formatie van Nieuwkoop vertonen geen bodemvorming c.q. veraarde top. Ook in het Laagpakket van Walcheren zijn geen potentieel archeologische niveaus en bodemvormingshorizonten vastgesteld.&lt;br&gt;Op basis van het aan de hand van een verkennend inventariserend veldonderzoek getoetste verwachtingsmodel geldt er voor het plangebied dan ook een middelhoge verwachting voor de vroege prehistorie tot en met het Mesolithicum vanaf een diepte van minimaal 5,2 m -mv. Verder geldt een lage verwachting voor vindplaatsen uit het Neolithicum tot Romeinse Tijd c.q. Vroege Middeleeuwen (niveau Formatie van Nieuwkoop c.q. Kreekrak Formatie) en Late Middeleeuwen en Nieuwe Tijd (Laagpakket van Walcheren).&lt;/p&gt;
DOI: 10.17026/dans-24w-3767
title: Hulst Princebolwerk Hulst Princebolwerk, Gemeente Hulst. Opgraven - variant Archeologische Begeleiding

description: &lt;p&gt;Dit Artefact-rapport bespreekt de resultaten van een Opgraving Landbodems – variant Archeologische Begeleiding (protocol 4004) die, in opdracht van de gemeente Hulst, in het kader van een omgevingsvergunning binnen het plangebied Princebolwerk te Hulst (gemeente Hulst) is uitgevoerd. &lt;br&gt;Tijdens het onderzoek kon de hoge verwachting voor archeologische resten uit de Late Middeleeuwen en Nieuwe Tijd bevestigd worden. Zo werden ophooglagen aangetroffen die vermoedelijk als restanten van de laatmiddeleeuwse stadsomwalling geïnterpreteerd kunnen worden. Bij de aanleg van het 17de eeuwse Princebolwerk is het plangebied opgehoogd en de laatmiddeleeuwse sporen afgedekt. Uit een jongere 18de eeuwse bewoningsfase dateren de vierkante funderingsresten van de Duiventoren.&lt;br&gt;De studie van het vondstmateriaal omvat enerzijds een kleine hoeveelheid laatmiddeleeuws aardewerk uit de stadsomwalling, en anderzijds hergebruikt bouwkeramiek en natuursteen uit de Duiventoren. Uit de puinlaag van de Duiventoren komt onder meer een kadaver van een jong rund. &lt;br&gt;De onderzoeksresultaten tonen aan dat het verwachtingsmodel gehandhaafd kan blijven. De meeste sporen zijn in situ bewaard vanaf onderzijde vlak, de funderingsresten vanaf ca. 0,33 meter -mv (1,53 m +NAP).&lt;/p&gt;
DOI: 10.6084/m9.figshare.29818793.v1
title: Plasma-derived circALG8 and circCAMTA1 as a panel for early diagnosis of non-small cell lung cancer

description: Endogenous circular RNAs (circRNAs) have been implicated in the progression of cancer. This study aims to identify and evaluate the diagnostic efficacy of the newly found circALG8 and circCAMTA1 in patients with non-small cell lung cancer (NSCLC). Differentially expressed circRNAs were identified through plasma circRNA sequencing, followed by validation in NSCLC tissues and plasma samples using RT-qPCR. The stability of circALG8 and circCAMTA1 was determined by RNase R and actinomycin D assays. Receiver operating characteristic (ROC) curve analysis was employed to evaluate the diagnostic performance of these circRNAs in comparison to traditional tumor biomarkers. Both circALG8 and circCAMTA1 are significantly downregulated in tumor tissues and plasma from NSCLC patients, correlating closely with TNM staging. The two circRNAs are structurally stable circular RNA molecules, demonstrating considerable stability in plasma of NSCLC patients. The combined plasma circALG8 and circCAMTA1 hold the potential to serve as a diagnostic panel for early-stage NSCLC (AUC: 0.8987, <i>p</i> &lt; 0.0001). Importantly, the combination of the plasma circRNA panel enhances the diagnostic efficacy of traditional tumor biomarkers (AUC: 0.9236, <i>p</i> &lt; 0.0001) in early diagnosis of NSCLC. Plasma-derived circALG8 and circCAMTA1 May function as a diagnostic panel, thereby improving the diagnostic accuracy for early-stage NSCLC.
DOI: 10.6084/m9.figshare.29820639
title: Predictive value of NLR for the occurrence and clinical outcomes of hypertension: a systematic review and meta-analysis

description: This paper aims to perform a meta-analysis to provide the most updated and comprehensive evidence on the link between neutrophil-lymphocyte ratio (NLR) and the development and prognosis of hypertension. Cochrane Library, PubMed, Embase, and Web of Science were thoroughly searched for studies published from the inception of the databases up to 4 May 2024 using the keywords “Lymphocytes,” “Neutrophils,” “Ratio,” and “Hypertension.” The odds ratios (OR) and 95% confidence intervals (CI) were extracted for random-effects meta-analysis. We employed Egger’s test to check publication bias, sensitivity analyses to identify studies that significantly impacted the meta-analysis results, and subgroup analyses to ascertain the source of heterogeneity. 10 articles involving 78,194 patients were enrolled. The pooled data indicated that NLR was a significant predictor of hypertension risk (OR = 1.11, 95% CI = 1.05–1.17, <i>p</i> = 0.004). Additionally, NLR was notably linked with all-cause (OR = 2.02, 95% CI = 1.29–3.15, <i>p</i> = 0.002) and cardiovascular deaths (OR = 2.10, 95% CI = 1.51–2.61, <i>p</i> &lt; 0.0001) in hypertensive patients. Sensitivity analyses validated the robustness of the findings, and subgroup analyses ascertained a source of heterogeneity. NLR is a reliable and valuable biomarker for predicting both the risk of hypertension and outcomes in hypertensive patients.
DOI: 10.6084/m9.figshare.29820639.v1
title: Predictive value of NLR for the occurrence and clinical outcomes of hypertension: a systematic review and meta-analysis

description: This paper aims to perform a meta-analysis to provide the most updated and comprehensive evidence on the link between neutrophil-lymphocyte ratio (NLR) and the development and prognosis of hypertension. Cochrane Library, PubMed, Embase, and Web of Science were thoroughly searched for studies published from the inception of the databases up to 4 May 2024 using the keywords “Lymphocytes,” “Neutrophils,” “Ratio,” and “Hypertension.” The odds ratios (OR) and 95% confidence intervals (CI) were extracted for random-effects meta-analysis. We employed Egger’s test to check publication bias, sensitivity analyses to identify studies that significantly impacted the meta-analysis results, and subgroup analyses to ascertain the source of heterogeneity. 10 articles involving 78,194 patients were enrolled. The pooled data indicated that NLR was a significant predictor of hypertension risk (OR = 1.11, 95% CI = 1.05–1.17, <i>p</i> = 0.004). Additionally, NLR was notably linked with all-cause (OR = 2.02, 95% CI = 1.29–3.15, <i>p</i> = 0.002) and cardiovascular deaths (OR = 2.10, 95% CI = 1.51–2.61, <i>p</i> &lt; 0.0001) in hypertensive patients. Sensitivity analyses validated the robustness of the findings, and subgroup analyses ascertained a source of heterogeneity. NLR is a reliable and valuable biomarker for predicting both the risk of hypertension and outcomes in hypertensive patients.
DOI: 10.6084/m9.figshare.29828639
title: Diagnostic value of lnc-RNAs TINCR, GC1 and AFAP1-AS1 in gastric cancer differentiation from healthy people

description: Gastric cancer is a significant health challenge globally, necessitating the identification of novel biomarkers for improved diagnosis. Our study aimed to address this gap by investigating the diagnostic potential a set of long non-coding RNAs (lncRNAs) in gastric cancer patients compared to healthy controls. We conducted a retrospective case-control analysis involving 256 participants, including 128 gastric cancer patients and 128 healthy individuals. Alongside the measurement of serum levels of carcinoembryonic antigen (CEA) and carbohydrate antigen 19–9 (CA19.9), the plasma expression profiling of eight lnc-RNAs was performed in the selected samples. Our findings revealed significant alterations in CEA and CA19.9 levels in gastric cancer patients compared to controls (<i>p</i> &lt; 0.05). Moreover, upregulated expression of lncRNAs, including HOTIP, BANCR, ZFAS1, TINCR, GC1, and AFAP1-AS1, were all observed in gastric cancer patients (<i>p</i> &lt; 0.05). Excluding lncUGC1 and FAM49B-AS, ROC curve analysis demonstrated the diagnostic potential of lncRNAs in gastric cancer detection, with notable specificity and sensitivity. Our study disclosed the diagnostic utility of plasma HOTIP, BANCR, ZFAS1, TINCR, GC1, and AFAP1-AS1 lncRNAs as appropriate diagnostic biomarkers for gastric cancer. The identification of dysregulated lncRNAs offers promising avenues for noninvasive diagnostic assessment in gastric cancer.
DOI: 10.6084/m9.figshare.29828639.v1
title: Diagnostic value of lnc-RNAs TINCR, GC1 and AFAP1-AS1 in gastric cancer differentiation from healthy people

description: Gastric cancer is a significant health challenge globally, necessitating the identification of novel biomarkers for improved diagnosis. Our study aimed to address this gap by investigating the diagnostic potential a set of long non-coding RNAs (lncRNAs) in gastric cancer patients compared to healthy controls. We conducted a retrospective case-control analysis involving 256 participants, including 128 gastric cancer patients and 128 healthy individuals. Alongside the measurement of serum levels of carcinoembryonic antigen (CEA) and carbohydrate antigen 19–9 (CA19.9), the plasma expression profiling of eight lnc-RNAs was performed in the selected samples. Our findings revealed significant alterations in CEA and CA19.9 levels in gastric cancer patients compared to controls (<i>p</i> &lt; 0.05). Moreover, upregulated expression of lncRNAs, including HOTIP, BANCR, ZFAS1, TINCR, GC1, and AFAP1-AS1, were all observed in gastric cancer patients (<i>p</i> &lt; 0.05). Excluding lncUGC1 and FAM49B-AS, ROC curve analysis demonstrated the diagnostic potential of lncRNAs in gastric cancer detection, with notable specificity and sensitivity. Our study disclosed the diagnostic utility of plasma HOTIP, BANCR, ZFAS1, TINCR, GC1, and AFAP1-AS1 lncRNAs as appropriate diagnostic biomarkers for gastric cancer. The identification of dysregulated lncRNAs offers promising avenues for noninvasive diagnostic assessment in gastric cancer.
DOI: 10.6084/m9.figshare.29818793
title: Plasma-derived circALG8 and circCAMTA1 as a panel for early diagnosis of non-small cell lung cancer

description: Endogenous circular RNAs (circRNAs) have been implicated in the progression of cancer. This study aims to identify and evaluate the diagnostic efficacy of the newly found circALG8 and circCAMTA1 in patients with non-small cell lung cancer (NSCLC). Differentially expressed circRNAs were identified through plasma circRNA sequencing, followed by validation in NSCLC tissues and plasma samples using RT-qPCR. The stability of circALG8 and circCAMTA1 was determined by RNase R and actinomycin D assays. Receiver operating characteristic (ROC) curve analysis was employed to evaluate the diagnostic performance of these circRNAs in comparison to traditional tumor biomarkers. Both circALG8 and circCAMTA1 are significantly downregulated in tumor tissues and plasma from NSCLC patients, correlating closely with TNM staging. The two circRNAs are structurally stable circular RNA molecules, demonstrating considerable stability in plasma of NSCLC patients. The combined plasma circALG8 and circCAMTA1 hold the potential to serve as a diagnostic panel for early-stage NSCLC (AUC: 0.8987, <i>p</i> &lt; 0.0001). Importantly, the combination of the plasma circRNA panel enhances the diagnostic efficacy of traditional tumor biomarkers (AUC: 0.9236, <i>p</i> &lt; 0.0001) in early diagnosis of NSCLC. Plasma-derived circALG8 and circCAMTA1 May function as a diagnostic panel, thereby improving the diagnostic accuracy for early-stage NSCLC.
DOI: 10.6084/m9.figshare.29937977
title: The prognostic role of circulating DNA markers in patients with lung malignancies: a systematic review and meta-analysis

description: We aimed to explore the prognostic role of circulating DNA-related markers to improve clinical decision-making in patients with lung malignancies. A systematic search was performed on PubMed, Scopus, and Web of Science. About 133 articles were included, comprising 5750 EGFR-positive, 1583 ALK-positive, and 9657 patients without specified genetic groups. Circulating tumor DNA (ctDNA) response was a significant prognostic marker associated with improved overall survival (OS) (HR = 0.36 [0.27, 0.47], I2 = 0%) and progression-free survival (PFS) (HR = 0.31 [0.18, 0.55], I2 = 67.33%) in advanced non-small cell lung cancer (NSCLC). Meta-analysis of tumor mutational burden (TMB) in the same group demonstrated trends toward poorer survival outcomes for higher TMB -pooled HR of 1.63 (95%-CI: 0.92, 2.88, I2 = 71.23%) for OS and 1.09 (95%-CI: 0.63, 1.89, I2 = 86.66%) for PFS. Finally, meta-analysis in advanced EGFR-positive NSCLC implicated significant prognostic effect of EGFR response positivity on OS and PFS -pooled HR of 0.39 and 0.27, respectively. Circulating DNA markers entailed valuable information in patient prognostication and depicting treatment efficacies in lung cancer. Further studies are needed to decipher more robust criteria for the presently accepted markers – namely ctDNA and EGFR response measures. Additionally, there are several markers – i.e. TMB – that have more exploratory clinical benefits.
DOI: 10.6084/m9.figshare.29937977.v1
title: The prognostic role of circulating DNA markers in patients with lung malignancies: a systematic review and meta-analysis

description: We aimed to explore the prognostic role of circulating DNA-related markers to improve clinical decision-making in patients with lung malignancies. A systematic search was performed on PubMed, Scopus, and Web of Science. About 133 articles were included, comprising 5750 EGFR-positive, 1583 ALK-positive, and 9657 patients without specified genetic groups. Circulating tumor DNA (ctDNA) response was a significant prognostic marker associated with improved overall survival (OS) (HR = 0.36 [0.27, 0.47], I2 = 0%) and progression-free survival (PFS) (HR = 0.31 [0.18, 0.55], I2 = 67.33%) in advanced non-small cell lung cancer (NSCLC). Meta-analysis of tumor mutational burden (TMB) in the same group demonstrated trends toward poorer survival outcomes for higher TMB -pooled HR of 1.63 (95%-CI: 0.92, 2.88, I2 = 71.23%) for OS and 1.09 (95%-CI: 0.63, 1.89, I2 = 86.66%) for PFS. Finally, meta-analysis in advanced EGFR-positive NSCLC implicated significant prognostic effect of EGFR response positivity on OS and PFS -pooled HR of 0.39 and 0.27, respectively. Circulating DNA markers entailed valuable information in patient prognostication and depicting treatment efficacies in lung cancer. Further studies are needed to decipher more robust criteria for the presently accepted markers – namely ctDNA and EGFR response measures. Additionally, there are several markers – i.e. TMB – that have more exploratory clinical benefits.