cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gmg54ngfnk.1
title: Trends in Non-squamous cervical cancer incidence, histological type, stage, age, and human papillomavirus type in southwest China from 2009 to 2021: A Large Retrospective Study

description: Nowadays, with the declining incidence of squamous cell cancer, the incidence of non-squamous cervical cancer is rising in developed countries. However, little is known about non-squamous cervical cancer in China. In this study, we retrospectively analyzed the pattern of non-squamous cervical cancer (incidence, age, histological type, stage, and human papillomavirus subtype) in southwestern China between January 1, 2009 and December 31, 2021. The histological classification was conducted according to World Health Organization (WHO) 2020 tumor classification. HPV detection for paraffin-embedded tumor tissue was done by use PCR-reverse dot blot hybridization probe assay. In our study, we found that the trends of increasing non-squamous cervical cancer incidence existed in cervical cancer in the older population, and most cases were associated with HPV. The rate of HPV-independent cervical cancer was small, but the majority of patients were diagnosed at an advanced stage. In contrast to the increasing incidence trends of adenocarcinoma for young women in some western countries, our study showed an increasing age. These results call for increasing effort in screening and HPV vaccination in China.
DOI: 10.6084/m9.figshare.21820371.v1
title: Supplementary table 1.docx

description: <strong>Pre-operative platelet count and post-operative neutrophil count for prediction of recurrence in differentiated thyroid carcinoma</strong>
DOI: 10.17632/475dpkhk3w.1
title: Combination of Melatonin and Cisplatin on the Inhibition of Ovarian Cancer Cell

description: These data show cell SKOV3 and result of combination melatonin and cisplatin in the groups
DOI: 10.17632/yn76jnpwkj.1
title: Treatment of alopecia areata with the Janus Kinase Inhibitor upadacitinib: a retrospective cohort study

description: Supplementary Material for paper "Treatment of alopecia areata with the Janus Kinase Inhibitor upadacitinib: a retrospective cohort study" JAAD 2023
DOI: 10.17632/7vxdwfb74t.1
title: Signal Passed At Danger: Bibliometric Dataset

description: Signal Passed At Danger: Bibliometric Dataset
DOI: 10.17632/7vxdwfb74t.2
title: Railway Signal Passed At Danger: Bibliometric Dataset

description: Signal Passed At Danger: Bibliometric Dataset
DOI: 10.5281/zenodo.7505440
title: A dataset of desertification exposure (2001-2018)

description: Desertification is revised as: in dryland areas (including hyper-arid areas AI&lt;0.05), non-forest land covers in 2000 change into bare land, and the bareness results in deprivation of essential ecosystem services. According to categories of land degradation, total desertification (code 205) is further defined as agriculture desertification (code 2), grassland desertification (code 3), wetland desertification (code 4), shrubland desertification (code 5) and sparse vegetation desertification (code 6), respectively. Aridity index is from TerraClimate with a 4-km resolution (https://www.climatologylab.org/terraclimate.html), land cover products are ESA CCI-LC product (http://maps.elie.ucl.ac.be/CCI/viewer/index.php), population data exposed to desertification are adjusted WorldPop population data (https://www.worldpop.org/geodata/listing?id=69) with a 300-m resolution。 The study period is 2001-2018, and the spatial resolution is 300-m. Desertification types include agriculture desertification (code 2), grassland desertification (code 3), wetland desertification (code 4), shrubland desertification (code 5) and sparse vegetation desertification (code 6).
DOI: 10.5281/zenodo.7505439
title: A dataset of desertification exposure (2001-2018)

description: Desertification is revised as: in dryland areas (including hyper-arid areas AI&lt;0.05), non-forest land covers in 2000 change into bare land, and the bareness results in deprivation of essential ecosystem services. According to categories of land degradation, total desertification (code 205) is further defined as agriculture desertification (code 2), grassland desertification (code 3), wetland desertification (code 4), shrubland desertification (code 5) and sparse vegetation desertification (code 6), respectively. Aridity index is from TerraClimate with a 4-km resolution (https://www.climatologylab.org/terraclimate.html), land cover products are ESA CCI-LC product (http://maps.elie.ucl.ac.be/CCI/viewer/index.php), population data exposed to desertification are adjusted WorldPop population data (https://www.worldpop.org/geodata/listing?id=69) with a 300-m resolution。 The study period is 2001-2018, and the spatial resolution is 300-m. Desertification types include agriculture desertification (code 2), grassland desertification (code 3), wetland desertification (code 4), shrubland desertification (code 5) and sparse vegetation desertification (code 6).
DOI: 10.6084/m9.figshare.21820416
title: Genotypic and phenotypic data

description: "Geno.hmp.zip" contains the genotype data in Hapmap format "Trait.zip" contains the phenotype data
DOI: 10.57760/sciencedb.07072
title: cstr解析测试
title: cstr解析测试

description: cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试
description: cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试cstr解析测试
DOI: 10.20372/eiar-rdm/lzv6ot/wslu8e
title: 144684-Article Text-383408-1-10-20160928.pdf

description: :unav
DOI: 10.20372/eiar-rdm/lzv6ot
title: Nutritional Qualities of Agro-Industrial By-Products and Local Supplementary Feeds for Dairy Cattle Feeding

description: This study assessed the nutritional qualities of major agro-industrial by-products (AIBPs) and locally available feed resources commonly used as supplementary feeds to dairy cattle in Ethiopia. A total of 58 samples belonging to five categories of supplementary feeds viz., compound dairy rations/concentrates, oilseed cakes, wheat bran, middling and grains, brewery by-products, and pulse grain by-products collected from different agro-industries located in and around Addis Ababa and local sources were included in the study. The feed samples were analyzed for chemical contents (DM, Ash, CP, NDF, ADF, Lignin, and in-vitro organic matter digestibility (IVOMD) at Holetta Agricultural Research Center Animal nutrition laboratory. Contents of the various nutritional parameters showed significant variations (p&lt;0.05) among sub-groups within the different categories of supplementary feeds. The important nutritional parameter, CP content, was higher in calf ration among the compound dairy feeds, in cotton seed cake among the oilseed cakes, in wheat middling among the cereal grain by-products, in industrial brewery residue among the brewery byproducts, and in mixed pulses screenings among the pulse grain by-products. The result also revealed considerable differences among the different categories of supplementary feeds in average values of the important nutritional parameters. Accordingly, the average CP content varied in the order: oilseed cakes (310.4g/kg DM)&gt;brewery by-products&gt;compound dairy ration&gt;pulse grain by-products&gt;cereal grain by-products (139.2g/kg DM). The mean NDF content varied in the order: brewery by-products (577.7g/kg DM)&gt;pulse grain byproducts&gt; compound dairy ration&gt;oilseed cakes&gt;cereal grain by-products (250.2g/kg DM). The average ADF content varied in the order: pulse grain by-products (327.8g/kg DM)&gt;brewery by-products&gt;oilseed cakes&gt;compound dairy ration&gt;cereal grain by-products (92.0g/kg DM). The average lignin content also varied in the order: oilseed cakes (79.5g/kg DM)&gt;brewery by-products&gt;pulse grain by-products&gt;compound dairy ration&gt;cereal grain by-products (20.9g/kg DM). The mean IVOMD varied in the order: cereal grain by-products (763.3g/kg DM)&gt;compound dairy ration&gt;oilseed cakes&gt;brewery by-products&gt;pulse grain by-products (537.5g/kg DM). It was generally observed that oilseed cakes and brewery byproducts had higher, while cereal grain by-products and pulse grain by-products had lower CP contents than the range (17-19%) recommended by NRC in the rations of lactating dairy cows during the early lactation stage. On the other hand, the average CP content recorded in compound dairy rations was comparable with the NRC recommendations in dairy cattle diets.
DOI: 10.20372/eiar-rdm/owhngr/nlnnb7
title: 144683-Article Text-383404-1-10-20160928.pdf

description: :unav
DOI: 10.20372/eiar-rdm/owhngr
title: System Productivity and Yield of Component Crops as Affected by Intercropping Maize and Common Bean Varieties with Distinct Morphological Characteristics

description: Selection of maize and legumes variety selection in Ethiopia target only sole cropping system without considering the relative performance of varieties of varying morphologies under maize/legume intercropping. The objective of this study was to assess the effects of intercropping maize and common bean varieties with different morphologies on yield and system productivity of maize/common bean intercropping system. The treatments consisted of factorial combinations of three maize (BH543, BH661 and Gibe-2) and three common bean (Anger, Nassier and Haramaya) varieties and sole crops of the six varieties, which were laid out in randomized complete block design with three replications. The experiment was conducted at Bako, western Ethiopia, during the main cropping seasons of 2011 and 2012. Main effects due to variety and cropping system were significant for maize biomass and grain yield in both years. Relative to sole cropping system, intercropping significantly reduced maize and common bean grain yields by 7% and 70%, respectively. Intercropping increased plant height of common bean by 48% relative to sole crop conditions. Among the different intercropping combinations, growing common bean variety, Haramaya with maize hybrid BH661 gave the highest land equivalent ratio of 1.28, highest relative crowding coefficient of 6.75 and highest net benefit of Birr 23,328 ha-1. As a strategy to maximize land productivity and resource use efficiency, intercropping that involves the two compatible varieties of the component crops is recommended for Bako and similar areas of western Ethiopia.
DOI: 10.20372/eiar-rdm/61hfxy/btnexr
title: 142816-Article Text-379583-1-10-20160825.pdf

description: :unav
DOI: 10.20372/eiar-rdm/61hfxy
title: Determinants of Crop Diversification in Ethiopia: Evidence from Oromia Region

description: Diversification of agriculture is central to economic transformation. It contributes to increasing productivity, increasing household incomes, improving soil health (through crop rotation and nitrogen fixation), and sustainable intensification of agriculture. Using survey data from a regionally representative household survey, this paper examines the drivers of agricultural diversification in Oromia region—the largest and agro-ecologically most diverse region. Farm households’ diversification decision is modeled as a two-step process; i.e., as the propensity to diversify (whether to diversify), and intensity of diversification (if decides to diversify, to what extent to diversify). The model was estimated using Hackman’s two-step method. The results suggest that asset ownership, soil quality, agricultural extension, and level of infrastructural development are the significant drivers of crop diversification in Oromia. The policy implications are obvious—public investment and policy reform geared toward risk mitigation (reflected by the significance of asset ownership), soil health improvement, extension information, and reduction in transactions will have the greatest pay off in promoting agricultural diversification.
DOI: 10.34740/kaggle/dsv/4810895
title: Elon Musk Tweets
DOI: 10.6084/m9.figshare.21820464
title: Thallium isotopes as indicators of ore mineralization at the Zn-rich sediment-hosted massive sulfide TL Deposit, British Columbia, Canada

description: Appendix A–D.
DOI: 10.6084/m9.figshare.21820464.v1
title: Thallium isotopes as indicators of ore mineralization at the Zn-rich sediment-hosted massive sulfide TL Deposit, British Columbia, Canada

description: Appendix A–D.
DOI: 10.6084/m9.figshare.20489439
title: Online supplement.pdf

description: additional results
DOI: 10.6084/m9.figshare.20489439.v2
title: Online supplement.pdf

description: additional results
DOI: 10.6084/m9.figshare.20489439.v1
title: Online supplement.pdf

description: additional results
DOI: 10.48366/r280729
title: Digital soil mapping (DSM) using machine learning algorithms

description: Digital mapping of soil types and properties (soil organic carbon (SOC), soil organic matter (SOM), clay, sand, silt) is generated using machine learning algorithms to identify relationships between soil properties and several covariates across different landscapes. One of the simplest machine learning methods for finding relationships between several covariates and a target variable is multiple linear regression (MLR). With MLR, two or more covariates are used to predict the outcome of the target variable by fitting a linear equation with quantitative coefficients (model parameters). MLR algorithm was compared on the basis of five factors: (1) target variable, (2) sample size, (3) sampling design, (4) covariate set, and (5) interpretation of the resulting model: Cross validation and Independent validation (R2, RMSE).
DOI: 10.6084/m9.figshare.21820260.v1
title: Supplementary Material for: A Rare Pathogenic Variant in the <b><i>SERPINF1</i></b> Gene in Association with Early-Onset Severe Presentation of Autosomal Recessive Type of Osteogenesis Imperfecta VI: A Case Report

description: Osteogenesis imperfecta (OI) refers to a group of genetic disorders with the typical clinical presentation of increased bone fragility. More than 90% of OI cases have an underlying genetic mutation in the collagen genes <i>COL1A1</i> or <i>COL1A2</i>. However, there are now 22 different recognized OI subtypes based on the underlying gene implicated. OI type VI is caused by pathogenic variants in the serine proteinase inhibitor clade F (<i>SERPINF1</i>) gene. In this case study, the patient was a 4-year-old female, born in a consanguineous family, with a history of delayed gross motor milestones and recurrent fractures after trivial trauma since the age of 8 months. The results of skeletal surveys and bone scans indicated that the patient suffered from OI. To confirm the diagnosis, we performed a next-generation sequencing (NGS) analysis of genes implicated in OI using the TruSight One NGS Panel. Bioinformatics analysis showed the presence of a rare pathogenic variant in exon 7 of the <i>SERPINF1</i> gene in a homozygous state (NM_002615.5:c.907C&gt;T; NP_002606.3:p.Arg303Ter; ClinVar submission ID: SUB10491966). The variant results in the termination of the polypeptide chain at position 303. Targeted capillary sequencing confirmed the presence of this variant in a homozygous state in the patient and in heterozygous state for both parents. Additionally, the patient’s younger sibling, aged 10 months, harbored the variant in a homozygous state. The sibling started bisphosphonate therapy and did not suffer any fractures in over 2 years after initiating the therapy. The etiological genetic diagnosis helped provide genetic counseling to the family. This highlights the utility of NGS for the confirmation of a clinical analysis in cases where alterations in multiple genes can result in similar clinical presentation.
DOI: 10.34808/5zp7-3z19
title: Magnetic signature reproduction of ferromagnetic ships at arbitrary geographical position, direction and depth using a multi-dipole model – source and verification dataset with description

description: The dataset include source synthetic magnetic data concerning the corvette-type ship numeric model. The data are for 6 locations around the World with different V1 ÷ V6 Earth magnetic field values. The attached data is in Matlab. MAT format, but the data can also be used in Octave software.
DOI: 10.5281/zenodo.7504087
title: Daily surface temperature and current from a 10 members ensemble simulation of June-September 2018 over the South China Sea

description: This file contains the outputs from an ensemble of 10 members of simulation performed over the South China Sea for summer 2018. Members are numbered from 09 to 18. member_11_daily_surface_tem_u_v_JJAS.nc contains the surface daily temperature and current simulated by member 11 grid.nc contains all information about the Arakawa C grid (longitude, latitude, mask, mesh size etc). wstress_surf_2018_JJAS_daily.nc contains the daily wind stress for summer 2018
DOI: 10.5281/zenodo.7504086
title: Daily surface temperature and current from a 10 members ensemble simulation of June-September 2018 over the South China Sea

description: This file contains the outputs from an ensemble of 10 members of simulation performed over the South China Sea for summer 2018. Members are numbered from 09 to 18. member_11_daily_surface_tem_u_v_JJAS.nc contains the surface daily temperature and current simulated by member 11 grid.nc contains all information about the Arakawa C grid (longitude, latitude, mask, mesh size etc). wstress_surf_2018_JJAS_daily.nc contains the daily wind stress for summer 2018
DOI: 10.5519/qd.t7e8u9bu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (0 records)
DOI: 10.5281/zenodo.7494736
title: Supplementary Table S.1.1. Structural data - Kodiak

description: During two field surveys at Kodiak archipelago, structural data were collected in order to perform structural analysis and the interpretation of tectonic history of the area.
DOI: 10.5281/zenodo.7494735
title: Supplementary Files - PhD thesis Kristijan Rajic

description: This dataset represent Supplementary files prepared as a part of PhD thesis. In following lines all files are listed and brief description is added to each. <strong><em>Chapter IL</em></strong> Supplementary Table<strong> S2.1. </strong>Structural data <strong><em>Chapter IV</em></strong> Supplementary Table<strong> S4.1. </strong>Electron microprobe (EPMA) of individual mineral phases Supplementary Table<strong> S4.2. </strong>Fluid inclusion salinity based on Raman Spectroscopy Supplementary Table<strong> S4.3. </strong>Electron microprobe (EPMA) point analyses of evaporate mounds Supplementary Table<strong> S4.4. </strong>Mass balance calculations for specific zones of matrix <strong><em>Chapter V</em></strong> Supplementary Table<strong> S5.1. </strong>Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) of individual mineral phases Supplementary Table<strong> S5.2. </strong>Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) of fluid inclusion-rich (FI-rich) and fluid inclusion-poor (FI-poor) quartz
DOI: 10.5281/zenodo.7494779
title: Supplementary Files - PhD thesis Kristijan Rajic

description: This dataset represent Supplementary files prepared as a part of PhD thesis. In following lines all files are listed and brief description is added to each. <strong><em>Chapter I</em></strong> Supplementary Table<strong> S1.1. </strong>Structural data <strong><em>Chapter III</em></strong> Supplementary Table<strong> S3.1. </strong>Electron microprobe (EPMA) of individual mineral phases Supplementary Table<strong> S3.2. </strong>Fluid inclusion salinity based on Raman Spectroscopy Supplementary Table<strong> S3.3. </strong>Electron microprobe (EPMA) point analyses of evaporate mounds Supplementary Table<strong> S3.4. </strong>Mass balance calculations for specific zones of matrix <strong><em>Chapter IV</em></strong> Supplementary Table<strong> S4.1. </strong>Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) of individual mineral phases Supplementary Table<strong> S4.2. </strong>Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) of fluid inclusion-rich (FI-rich) and fluid inclusion-poor (FI-poor) quartz
DOI: 10.5281/zenodo.7505556
title: Supplementary Files - PhD thesis Kristijan Rajic

description: This dataset represent Supplementary files prepared as a part of PhD thesis. In following lines all files are listed and brief description is added to each. <strong><em>Chapter IL</em></strong> Supplementary Table<strong> S2.1. </strong>Structural data <strong><em>Chapter IV</em></strong> Supplementary Table<strong> S4.1. </strong>Electron microprobe (EPMA) of individual mineral phases Supplementary Table<strong> S4.2. </strong>Fluid inclusion salinity based on Raman Spectroscopy Supplementary Table<strong> S4.3. </strong>Electron microprobe (EPMA) point analyses of evaporate mounds Supplementary Table<strong> S4.4. </strong>Mass balance calculations for specific zones of matrix <strong><em>Chapter V</em></strong> Supplementary Table<strong> S5.1. </strong>Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) of individual mineral phases Supplementary Table<strong> S5.2. </strong>Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) of fluid inclusion-rich (FI-rich) and fluid inclusion-poor (FI-poor) quartz
DOI: 10.5281/zenodo.7497527
title: "Analysis of near-field stresses in an analogue strike-slip fault model" Dataset

description: This dataset contains both raw data and preliminary processed data. Overall, the dataset is divided into three parts: loading device data, internal strain brick data and VIC-2D data.
DOI: 10.5281/zenodo.7497526
title: "Analysis of near-field stresses in an analogue strike-slip fault model" Dataset

description: This dataset contains both raw data and preliminary processed data. Overall, the dataset is divided into three parts: loading device data, internal strain brick data and VIC-2D data.
DOI: 10.5281/zenodo.7505549
title: Simulated spatially-explicit above ground biomass of forests (larch) in the vicinity of the Ilirney lake system region, Chukotka, Russia

description: The model LAVESI (Kruse et al. 2016) was updated (Kruse 2023) and forced with historical and future climate forcing for 3 simulation repeats. The data set contains simulated larch above ground biomass (AGB, in kg m<sup>-2</sup>) for the three climate forcings RCP 2.6, 4.5 and 8.5 and each complemented with a hypothetical cooling scenario from year 2300 CE onwards. The data provided is from years 2020, 2050, 2100 and proceeding in 100-year steps until 3000 CE. Format: Geotiff; projection UTM58N and 30x30 m tiles; extent: 640008.2, 649998.2, 7475006, 7494716 m (xmin, xmax, ymin, ymax)
description: This work has been supported by the German Federal Ministry of Education and Research (BMBF), which enabled the Russian-German research programme "Kohlenstoff im Permafrost KoPf" (grant no. 03F0764A), by the Initiative and Networking Fund of the Helmholtz Association and by the ERC consolidator grant Glacial Legacy of Ulrike Herzschuh (grant no. 772852).
description: {"references": ["Stefan Kruse, Mareike Wieczorek, Florian Jeltsch and Ulrike Herzschuh (2016) Treeline dynamics in Siberia under changing climates as inferred from an individual-based model for Larix. Ecological Modelling, 338, 101\u2013121. http://dx.doi.org/10.1016/j.ecolmodel.2016.08.003 Additional data and results are available at https://doi.pangaea.de/10.1594/PANGAEA.863584", "Stefan Kruse: StefanKruse/LAVESI: LAVESI-WIND with landscape (v2.0). Zenodo. https://doi.org/10.5281/zenodo.7505539, 2023."]}