cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive162673.20241212.9.2
title: <i>Flavobacterium</i> <i>maotaiense</i> Feng <i>et al.</i> 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive162673.20251217.10
title: <i>Flavobacterium</i> <i>maotaiense</i> Feng <i>et al.</i> 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive162674.20250331.9.3
title: <i>Kiloniella</i> <i>spongiae</i> Yang <i>et al.</i> 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive162674.20251217.10
title: <i>Kiloniella</i> <i>spongiae</i> Yang <i>et al.</i> 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive162675.20241212.9.2
title: <i>Niastella</i> <i>gongjuensis</i> Kim <i>et al.</i> 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive162675.20251217.10
title: <i>Niastella</i> <i>gongjuensis</i> Kim <i>et al.</i> 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive162676.20241212.9.2
title: <i>Parasegetibacter</i> <i>terrae</i> Kim <i>et al.</i> 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive162676.20251217.10
title: <i>Parasegetibacter</i> <i>terrae</i> Kim <i>et al.</i> 2015

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive162677.20241212.9.2
title: <i>Paenibacillus</i> <i>susongensis</i> Guo <i>et al.</i> 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive162677.20251217.10
title: <i>Paenibacillus</i> <i>susongensis</i> Guo <i>et al.</i> 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive162678.20241212.9.2
title: <i>Metallosphaera</i> <i>sedula</i> Huber <i>et al.</i> 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive162678.20251217.10
title: <i>Metallosphaera</i> <i>sedula</i> Huber <i>et al.</i> 1989

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.5909950.v1
title: Application of optical unmanned aerial vehicle-based imagery for the inventory of natural regeneration and standing deadwood in post-disturbed spruce forests

description: Disturbances caused by the European spruce bark beetle (<i>Ips typographus</i> L.) infestations are amongst the main drivers of forest ecosystem dynamics in stands dominated by Norway spruce (<i>Picea abies</i> [L.] Karst.). Monitoring the post-disturbance stand development including establishment of the new tree cohorts (regeneration) is of particular importance, and is conventionally done by time-intensive field surveys. Efficiency of techniques such as airborne light detection and ranging (LiDAR) or stereo photogrammetry is constrained due to their quality or costs in small-scaled and substantially heterogeneous post-disturbed areas. Small, multi-rotor unmanned aerial vehicles (UAVs) offer alternatives via their lower cost, temporal flexibility and high spatial resolution. We investigated the Digital Surface Models (DSM) derived from the UAV for inventories in post-disturbed sites of the Bavarian Forest National Park, Germany. We compared the numbers and structural attributes of detected living trees and snags from UAV data with standard stereo aerial photogrammetry using conventional field survey as a reference. Moreover, we processed the UAV data both by manual and automated tree recognitions. The results differentiated for individual tree classes (Living Spruce/Standing Deadwood and Individual/Grouped) showed varying performance with best results achieved for Standing Deadwood of moderate height. The UAV products were superior to aerial photography for the height retrieval: UAV-based data showed in average the root mean square error (RMSE) = 1.56 m, coefficient of determination <i>R</i><sup>2</sup> = 0.74 and bias = −0.73 m, compared to the aerial photogrammetry RMSE = 2.71 m, <i>R</i><sup>2</sup> = 0.17 and bias = −1.27 m. In particular, the heights of tall snags were more biased. Furthermore, the UAV data provided good results in crown diameter determination (RMSE = 0.13 m, <i>R</i><sup>2</sup> = 0.87, bias = 0.05 m). The automated recognition method was associated with qualitative and quantitative drawbacks compared to the manual method. Detection rates for trees and regeneration growing individually (60.7% and 39.1% for manual and automated method, respectively) were higher compared to regeneration in groups (28.6% and 17.8%). To conclude, the UAV-based inventory has clear advantages over aerial photogrammetry, especially for inventory of sites dominated by larger individual trees with sparse understorey. However, it cannot fully replace the field survey in post-disturbed sites with dense regeneration, where the performance can be augmented by combining UAVs with reduced fieldwork in different stand structural classes.
DOI: 10.6084/m9.figshare.5519032
title: Exploring the feasibility of unmanned aerial vehicles and thermal imaging for ungulate surveys in forests - preliminary results

description: Effective wildlife management and conservation require reliable assessments of animal abundance. However, no ungulate monitoring methods is entirely satisfying in terms of cost-effectiveness and accuracy. A new method combining unmanned aerial vehicles (drones) and thermal infrared (TIR) imaging may have great potential as a tool for ungulate surveys. Drones enable safe operations at low flying altitudes, and at night – a time that often offers the optimal conditions for wildlife monitoring. To assess the feasibility of the proposed method we used fixed-wing drones with TIR cameras to conduct test surveys in Drawieński National Park, Poland. We demonstrated that ungulate thermal signatures are visible both in leafless deciduous and in pine-dominated coniferous forests. Survey timing highly influenced the results – the best quality thermal images were obtained at sunrise, late evening, and at night. Our preliminary results indicated that thermal surveys from drones are a promising method for ungulate enumeration. We demonstrated that with ground resolution of ~10 cm it is possible to visibly distinguish large species (i.e. red deer) and achieve a good level of area coverage. The main challenges of the method are difficulties in species identification due to relatively low resolution of TIR cameras, regulations limiting drone operations to visual line of sight, and high dependence on weather.
DOI: 10.6084/m9.figshare.5519032.v1
title: Exploring the feasibility of unmanned aerial vehicles and thermal imaging for ungulate surveys in forests - preliminary results

description: Effective wildlife management and conservation require reliable assessments of animal abundance. However, no ungulate monitoring methods is entirely satisfying in terms of cost-effectiveness and accuracy. A new method combining unmanned aerial vehicles (drones) and thermal infrared (TIR) imaging may have great potential as a tool for ungulate surveys. Drones enable safe operations at low flying altitudes, and at night – a time that often offers the optimal conditions for wildlife monitoring. To assess the feasibility of the proposed method we used fixed-wing drones with TIR cameras to conduct test surveys in Drawieński National Park, Poland. We demonstrated that ungulate thermal signatures are visible both in leafless deciduous and in pine-dominated coniferous forests. Survey timing highly influenced the results – the best quality thermal images were obtained at sunrise, late evening, and at night. Our preliminary results indicated that thermal surveys from drones are a promising method for ungulate enumeration. We demonstrated that with ground resolution of ~10 cm it is possible to visibly distinguish large species (i.e. red deer) and achieve a good level of area coverage. The main challenges of the method are difficulties in species identification due to relatively low resolution of TIR cameras, regulations limiting drone operations to visual line of sight, and high dependence on weather.
DOI: 10.15468/dl.s92xmc
title: Occurrence Download

description: A dataset containing 16828 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linepithema humile (Mayr, 1868)"
 ]
}

 The dataset includes 16828 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055818-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.19312115.v3
title: CYP2C19 polymorphism and coronary in-stent restenosis: A systematic review and meta-analysis

description: "CYP2C19 polymorphism and coronary in-stent restenosis" is a systematic review and meta-analysis study that uses PRISMA guidelines. The flow diagram depicts the flow information through the different phases. It maps out the number of records identified, included and excluded, and the reason for exclusions. Meanwhile, the PRISMA checklist comprises 27-item checklist addressing the introduction, methods, results, and discussion sections of this systematic review and meta-analysis. Data from inclusion studies were analyses using Review Manager 5.4. The CYP2C19 lost of function (LOF) gene was associated with a higher risk of ISR (OR 95% CI = 2.84 [1.54-5.24], p= 0.0008)<br>
DOI: 10.15468/dl.p9spza
title: Occurrence Download

description: A dataset containing 9147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Capreolus pygargus (Pallas, 1771)"
 ]
}

 The dataset includes 9147 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055820-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15139/s3/e2etfn
title: Data Code for Lauren E. Clatch, Interrogating Miranda's Custody Requirement, 103 N.C. L. Rev. 69 (2024)

description: The data and code here accompany the article, Lauren E. Clatch, Interrogating Mirandas Custody Requirement, 103 N.C. L. Rev. 69 (2024). This repository of files is intended to offer transparency regarding the research methods and data analyses performed. The data from two online survey experiments, which were used for analyses in the article, can be found in the .csv files, and the code used to analyze that data is accessible using the program R and opening the .Rmd file.
DOI: 10.5281/zenodo.14592431
title: Base de dados de Ansiedade no Trabalho em Tempos de Mudança: Tendências e Perfis durante e Pós-Pandemia em SP (2020-2023)

description: Base de dados públicos utilizados no estudo sobre Ansiedade no Trabalho em Tempos de Mudança: Tendências e Perfis durante e Pós-Pandemia no Estado de São Paulo 2020-2023:- SINAN (Sistema de Informação de Agravos de Notificação)- CBO (Classificação Brasileira de Ocupações)- CNAE (Classificação Nacional de Atividades Econômicas)- PNAD (Pesquisa Nacional por Amostra de Domicílios) / IBGE (Instituto Brasileiro de Geografia e Estatística)
DOI: 10.5281/zenodo.14592432
title: Base de dados de Ansiedade no Trabalho em Tempos de Mudança: Tendências e Perfis durante e Pós-Pandemia em SP (2020-2023)

description: Base de dados públicos utilizados no estudo sobre Ansiedade no Trabalho em Tempos de Mudança: Tendências e Perfis durante e Pós-Pandemia no Estado de São Paulo 2020-2023:- SINAN (Sistema de Informação de Agravos de Notificação)- CBO (Classificação Brasileira de Ocupações)- CNAE (Classificação Nacional de Atividades Econômicas)- PNAD (Pesquisa Nacional por Amostra de Domicílios) / IBGE (Instituto Brasileiro de Geografia e Estatística)
DOI: 10.6084/m9.figshare.28130810
title: Data_EffectOfBodyConditionScore....xlsx

description: The objective was to evaluate the effect of body condition score (BCS), at the beginning of the fixed-time insemination (TAI) protocol, on ovary score (OS) and pregnancy per TAI (P/TAI) in Nellore females. Non-pregnant females (1,790) classified according to the parity (n= 586 heifers, 421 primiparous and 786 multiparous), were assigned to a TAI protocol. Cow BCS [1-very thin to 9-very fat] and OS [1-ovary with small follicles (&lt;5 mm); 2-ovary with large follicles (&gt;7 mm); 3-ovary with corpus luteum] evaluations were performed. TAI protocol, based on estrogen and progesterone, started 30 days after parturition of last cow in each group and cows were inseminated with semen from Angus, Nellore, Charolais and Brangus breeds. Pregnancy was diagnosed at 30 days after TAI. Data were analyzed by logistic regression and analysis of variance, including in the model the effects of the BCS, animal category and possible interactions. Significance was established as P≤0.05 and trend as 0.050.05), but in primiparous cows a tendency (P=0.063) and an effect in heifers (P&lt;0.05) were detected. Primiparous cows and heifers with better BCS showed greater P/TAI. Effect of BCS (P&lt;0.05) was detected on the OS in all categories evaluated, and females with higher BCS (≥6.50) also had higher OS. In conclusion, BCS at the beginning of the TAI program influences the OS in all categories analyzed and the P/TAI in primiparous and heifers.
DOI: 10.6084/m9.figshare.28130810.v1
title: Data_EffectOfBodyConditionScore....xlsx

description: The objective was to evaluate the effect of body condition score (BCS), at the beginning of the fixed-time insemination (TAI) protocol, on ovary score (OS) and pregnancy per TAI (P/TAI) in Nellore females. Non-pregnant females (1,790) classified according to the parity (n= 586 heifers, 421 primiparous and 786 multiparous), were assigned to a TAI protocol. Cow BCS [1-very thin to 9-very fat] and OS [1-ovary with small follicles (&lt;5 mm); 2-ovary with large follicles (&gt;7 mm); 3-ovary with corpus luteum] evaluations were performed. TAI protocol, based on estrogen and progesterone, started 30 days after parturition of last cow in each group and cows were inseminated with semen from Angus, Nellore, Charolais and Brangus breeds. Pregnancy was diagnosed at 30 days after TAI. Data were analyzed by logistic regression and analysis of variance, including in the model the effects of the BCS, animal category and possible interactions. Significance was established as P≤0.05 and trend as 0.050.05), but in primiparous cows a tendency (P=0.063) and an effect in heifers (P&lt;0.05) were detected. Primiparous cows and heifers with better BCS showed greater P/TAI. Effect of BCS (P&lt;0.05) was detected on the OS in all categories evaluated, and females with higher BCS (≥6.50) also had higher OS. In conclusion, BCS at the beginning of the TAI program influences the OS in all categories analyzed and the P/TAI in primiparous and heifers.
DOI: 10.6084/m9.figshare.28130879
title: Supplementary Material for: Identification of Biomarkers for Cervical Cancer Radiotherapy Sensitivity and Survival Prognosis

description: Introduction
Radiotherapy resistance leads to treatment failure and disease progression in patients with cervical cancer. This study aims to elucidate the molecular underpinnings of radiotherapy response in cervical cancer by identifying radiotherapy sensitivity genes (RSGs). 
Methods
We utilized two GEO expression profiling datasets (GSE3578 and GSE6213) comprising cervical cancer biopsy samples taken before and during radiotherapy to identify differentially expressed genes (DEGs) using the RankProd meta-analysis approach. Subsequent analysis was conducted using data from the TCGA-CESE project to further determine the RSGs and investigate their associations with survival prognosis, immune cell infiltration, and drug sensitivities. The differential expressions of the candidate RSGs were validated in an independent set of cervical cancer patients by qPCRs.
Results
A total of 518 DEGs were identified, with 305 genes up-regulated and 213 genes down-regulated during radiotherapy. Six key RSGs were identified as significantly associated with radiotherapy response. Cox regression analysis revealed that up-regulations of IL1RAP and GPR15 were associated with an increased risk of poor survival prognosis. Functional enrichment analysis highlighted the involvement of these genes in critical biological processes such as cytokine signaling and immune regulation. Correlation analyses demonstrated significant associations between RSG expressions and M2 Macrophage and γδT cell abundances in tumor microenvironment, as well as drug sensitivities. The expression of IL1RAP was significantly higher in the complete response group, supporting the bioinformatic finding.
Conclusion
Our findings on RSGs could potentially serve as potential biomarkers for predicting radiotherapy response and as therapeutic targets to enhance the efficacy of radiotherapy.
DOI: 10.6084/m9.figshare.28130879.v1
title: Supplementary Material for: Identification of Biomarkers for Cervical Cancer Radiotherapy Sensitivity and Survival Prognosis

description: Introduction
Radiotherapy resistance leads to treatment failure and disease progression in patients with cervical cancer. This study aims to elucidate the molecular underpinnings of radiotherapy response in cervical cancer by identifying radiotherapy sensitivity genes (RSGs). 
Methods
We utilized two GEO expression profiling datasets (GSE3578 and GSE6213) comprising cervical cancer biopsy samples taken before and during radiotherapy to identify differentially expressed genes (DEGs) using the RankProd meta-analysis approach. Subsequent analysis was conducted using data from the TCGA-CESE project to further determine the RSGs and investigate their associations with survival prognosis, immune cell infiltration, and drug sensitivities. The differential expressions of the candidate RSGs were validated in an independent set of cervical cancer patients by qPCRs.
Results
A total of 518 DEGs were identified, with 305 genes up-regulated and 213 genes down-regulated during radiotherapy. Six key RSGs were identified as significantly associated with radiotherapy response. Cox regression analysis revealed that up-regulations of IL1RAP and GPR15 were associated with an increased risk of poor survival prognosis. Functional enrichment analysis highlighted the involvement of these genes in critical biological processes such as cytokine signaling and immune regulation. Correlation analyses demonstrated significant associations between RSG expressions and M2 Macrophage and γδT cell abundances in tumor microenvironment, as well as drug sensitivities. The expression of IL1RAP was significantly higher in the complete response group, supporting the bioinformatic finding.
Conclusion
Our findings on RSGs could potentially serve as potential biomarkers for predicting radiotherapy response and as therapeutic targets to enhance the efficacy of radiotherapy.
DOI: 10.15468/dl.8c4r8x
title: Occurrence Download

description: A dataset containing 10511 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SANT-Lich"
 ]
}

 The dataset includes 10511 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055823-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mc6d6g
title: Occurrence Download

description: A dataset containing 32515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Denmark",
 "TaxonKey is Maniola jurtina (Linnaeus, 1758)"
 ]
}

 The dataset includes 32515 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055822-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.badmj6
title: Occurrence Download

description: A dataset containing 3368 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lexias pardalis"
 ]
}

 The dataset includes 3368 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055824-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/g5w9-9a40
title: Fluctuation-enhanced sensing of organic solvent vapors mixture by machine learning

description: The data set consists of exemplary results of the product of voltage noise power spectral density S(f) multiplied by frequency f and normalized to squared DC voltage U^2 recorded in the graphene back-gated Field Effect Transistor under UV light assistance (275 nm) in the selected ambient atmospheres (Figure 3) and the results of gas detection by SVM algorithm: 1) chloroform (Figure 5), 2) acetonitrile (Figure 6), and predicted gas concentrations using various number of frequency bins (Figure 7, Figure 8). The demonstrated data reveals we can determine two gas components in the considered gas mixture (chloroform and acetonitrile) by utilizing flicker noise and the SVM detection algorithm. When we considered noise power spectra in the frequency range 0.5 Hz—2 kHz, the gas detection limit reached 2.9 ppm for chloroform and 49.5 ppm for acetonitrile.
DOI: 10.15468/dl.fz8fju
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tomato ringspot virus"
 ]
}

 The dataset includes 107 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055825-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2579ms
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.14595 6.11225,-2.99788 5.7707,-2.78527 5.65434,-2.74274 5.35806,-2.764 5.10398,-3.30617 5.07221,-2.31838 4.8697,-2.05868 4.68279,-1.60421 5.02063,-1.67625 5.22632,-2.1002 5.78897,-2.56655 6.1825,-3.14595 6.11225))",
 "HasGeospatialIssue is false",
 "TaxonKey is Bovidae",
 "Year 2000-2025"
 ]
}

 The dataset includes 56 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055826-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.