cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48597/vs2f-mzvp
title: Measurement of Particle_number_concentration at Barrow

description: Measurement of Particle_number_concentration at Barrow
DOI: 10.5281/zenodo.10629577
title: Bayesian auto-correlated matrix factorization, datasets

description: Datasets used in:  Rusanen, A., Björklund, A., Manousakas, M., Jiang, J., Kulmala, M. T., Puolamäki, K., and Daellenbach, K. R.: A novel probabilistic source apportionment approach: Bayesian Auto-correlated Matrix Factorization, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2023-70, in review, 2023.
DOI: 10.5281/zenodo.5615082
title: Food systems Emissions shares, 1990-2019

description: This dataset represents the current version of the FAOSTAT Emissions shares domain, availbale currently and in subsequent updates (annually) at https://www.fao.org/faostat/en/#data/EM/visualize. The data present anthropogenic GHG emissions by all IPCC sectors: Energy, Waste, IPPU, Agriculture and LULUCF, + international bunkers and other. Fodo and agriuclture data on agriculture and LULUCF are from FAO; non-agricutlure sectors are from PRIMAP. Two additional views are provided to check data for agri-food systems. The first view is a IPCC disaggregation including Energy-food systems; Waste-food systems; LULUCF-food systems; Agriculture; IPPU-food systems. The second view provides a food systems view of data divided into emissions from: farm gate, land use change; and pre- and post-production processes. Pre and post-production include emissions from: fertilizers manufacturing; food processing; transport; retail; household consumption; and waste disposal. Data are available by country, by regional and topical aggregation; and globally, for CO2, CH4, N2O and F-gases separately, plus their aggegations in CO2eq using the AR5 GWP. The avialable data cover teh time series- 1990-2019
DOI: 10.6084/m9.figshare.24461242
title: Supplementary Material for: Hepatocellular Carcinoma Patients with Hepatitis B Virus Infection Exhibited Favorable Survival from Immune Checkpoint Inhibitors: A Systematic Review and Meta-analysis

description: Background Immune checkpoint inhibitors (ICIs) have demonstrated effectiveness for advanced hepatocellular carcinoma (HCC). However, the discrepancy in the efficacy of ICIs in HCC patients with distinct etiologies has not been systematically validated. Methods PubMed, MEDLINE, EMBASE, clinicaltrials.gov and abstracts from ASCO and ESMO conferences were searched for eligible trials that explored the impact of etiology factor on the ICI treatment in HCC patients. The pooled hazard ratio (HR) of overall survival (OS) and progression-free survival (PFS), as well as the pooled odds ratio (OR) of objective response rate (ORR) were calculated with stratification of hepatitis B virus (HBV), hepatitis C virus (HCV) and nonviral subgroup, and the heterogeneity between different etiological subgroup were assessed by using an interaction test. Results Eight eligible studies with a total of 5646 patients were identified from searching published articles and conference abstracts. ICI therapies were associated with significantly prolonged OS with the pooled HRs of 0.78 (95%CI 0.73-0.84, p &lt; 0.001), 0.71 (95%CI 0.65-0.79, p &lt; 0.001), 0.80 (95%CI 0.69-0.93, p = 0.003) and 0.87 (95%CI 0.77-0.97, p = 0.011) for the whole population, HBV subgroup, HCV subgroup and non-viral subgroup, respectively. In addition, this analysis reported a significant PFS improvement with ICI therapies with HRs of 0.78 (p = 0.004), 0.53 (p &lt; 0.001), 0.65 (p = 0.011) and 0.81 (p = 0.107) for whole population, HBV, HCV and nonviral subgroup, respectively. The HBV-related HCC patients showed the more distinctive HRs for OS and PFS than other etiology subgroups, and this difference was significant in PFS (p for heterogeneity = 0.001) and there was a tendency of significance in OS (p for heterogeneity = 0.079). Furthermore, the ORR advantages of ICI therapies over control were also confirmed with the pooled ORs of 3.62 (p &lt; 0.001), 3.84 (p &lt; 0.001), 3.05 (p &lt; 0.001) and 2.99 (p &lt; 0.001) for whole population, HBV, HCV and nonviral subgroup, respectively (p for heterogeneity = 0.743). Conclusions ICI therapies significantly improve OS, PFS and ORR for HCC patients with different etiologies. HBV-related HCC patients could be the highlighted population to benefit from ICI treatment.
DOI: 10.6084/m9.figshare.24495352
title: Supplementary Material for: Functional Magnetic Resonance Imaging to Monitor Disease Progression: a prospective study in Patients with Primary Membranoproliferative Glomerulonephritis

description: Introduction. Primary membranoproliferative glomerulonephritis (MPGN) is a rare kidney disease with poor prognosis and no specific therapies. The disease heterogeneity and the difficulty of performing repeated kidney biopsies poses big challenges. This study investigates the correlation between non-contrast enhanced magnetic resonance imaging (MRI) and histologic and clinical findings in patients with primary MPGN.
Methods. Patients with primary MPGN underwent baseline and 1-year kidney MRI in addition to biopsy and laboratory testing as part of a prospective MRI subproject of a clinical trial (ClinicalTrials.gov identifier NCT03723512). Diffusion-weighted and phase-contrast MRI were used to investigate kidney diffusivity and perfusion. Peritubular interstitial volume and fibrosis were quantified on kidney biopsies. 
Results. Seven patients with primary MPGN (18[17-21] years, 43% females) were included. Kidney biopsies showed variable degree of global and segmental glomerular sclerosis ([5-30]% and [10-60]%), mild interstitial fibrosis (&lt;10%), and increased peritubular interstitial volume ([19-40]%). MRI and laboratory parameters changed very differently from patient to patient over 1 year. Peritubular interstitial volume and glomerular sclerosis negatively associated with renal blood flow (RBF)(rho = -0.81 and -0.77), and positively with renal vascular resistance (RVR)(rho = 0.65 and 0.73). Urinary albumin to creatinine ratio (uACR) negatively associated with RBF and filtration fraction (FF)(rho = -0.86 and -0.6), while positively with RVR (rho = 0.88). uACR decrease was associated with kidney diffusivity increase (rho = -0.5). Measured glomerular filtration rate (GFR) positively associated with kidney diffusivity, RBF, and FF (rho = 0.87, 0.85 and 0.59), while negatively with RVR (rho = -0.89); GFR increase was associated with kidney diffusivity, RBF, and FF increase (rho = 0.77, 0.7, and 0.7) and RVR decrease (rho = -0.7). 
Discussion/Conclusion. The strong correlation found between MRI and histologic and clinical findings, despite the rather limited number of patients, highlights MRI potential to monitor disease progression in patients with rare kidney disease.
DOI: 10.6084/m9.figshare.24591012
title: Global demosponge diversity dataset

description: The dataset aggregates occurrence records from multiple sources, employs dereplication and taxonomic curation techniques, and is flagged for potentially incorrect records based on expert knowledge regarding each species’ bathymetric and geographic distributions.
DOI: 10.6084/m9.figshare.24603600
title: Supplementary Material for: Developing and validating a simple risk score for patients with acute myocardial infarction

description: Introduction: Mortality from acute myocardial infarction (AMI) remains substantial. The current study is aimed at developing a novel simple risk score for AMI.
Methods: The Coronary Artery Tree description and Lesion EvaluaTion (CatLet) extended validation trial (ChiCTR2000033730) and the CatLet validation trial (ChiCTR-POC-17013536), both being registered with chictr.org, served as the derivation and validation datasets, respectively. Both datasets included 1018 and 308 patients, respectively. They all suffered from AMI and underwent percutaneous intervention (PCI). The endpoint was 4-year all-cause death. Lasso regression analysis was used for covariate selection and coefficient estimation. 
Results: Of 26 candidate predictor variables, four strongest predictors for 4-year mortality were included in this novel risk score with an acronym of BACEF (serum alBumin, Age, serum Creatinine, and LVEF). This score was well calibrated and yielded an AUC (95%CI) statistics of 0.84(0.80-0.87) in internal validation, 0.89(0.83-0.95) in internal-external (temporal) validation, and 0.83(0.77-0.89) in external validation. Notably, it outperformed the ACEF, ACEFII, GRACE scores with respect to 4-year mortality prediction.
Conclusion: A simple risk score for 4-year mortality risk stratification was developed, extensively validated, and calibrated in patients with AMI. This novel BACEF score may be a useful risk stratification tool for patients with AMI.
DOI: 10.48597/vtvd-4z78
title: Measurement of Particle_number_concentration at Samoa (Cape Matatula)

description: Measurement of Particle_number_concentration at Samoa (Cape Matatula)
DOI: 10.48597/wa7s-xktd
title: Measurement of Particle_number_concentration at Barrow

description: Measurement of Particle_number_concentration at Barrow
DOI: 10.48597/xww3-spgn
title: Measurement of Particle_number_concentration at Samoa (Cape Matatula)

description: Measurement of Particle_number_concentration at Samoa (Cape Matatula)
DOI: 10.48597/yb94-bvst
title: Measurement of Particle_number_concentration at Samoa (Cape Matatula)

description: Measurement of Particle_number_concentration at Samoa (Cape Matatula)
DOI: 10.48597/yz8y-qxfp
title: Measurement of Particle_number_concentration at Samoa (Cape Matatula)

description: Measurement of Particle_number_concentration at Samoa (Cape Matatula)
DOI: 10.48597/z462-78ef
title: Measurement of Particle_number_concentration at Cape San Juan

description: Measurement of Particle_number_concentration at Cape San Juan
DOI: 10.48597/zbdb-eusn
title: Measurement of Particle_number_concentration at Samoa (Cape Matatula)

description: Measurement of Particle_number_concentration at Samoa (Cape Matatula)
DOI: 10.48597/zg58-qqwm
title: Measurement of Particle_number_concentration at Samoa (Cape Matatula)

description: Measurement of Particle_number_concentration at Samoa (Cape Matatula)
DOI: 10.1594/pangaea.950670
title: Isotopic characterisation of groundwater at Ljubljansko polje and Ljubljansko barje, Slovenia, during 2020-2021 sampling campaign

description: The isotopic data was obtained to provide information on the temporal and spatial variability of surface water and groundwater in the Ljubljana basin. This dataset includes monthly hydrogen (δ²H) and oxygen (δ¹⁸O) sampling data for groundwater from the Ljubljansko polje (LP) and Ljubljansko barje (LB) aquifers, the primary sources of drinking water for the City of Ljubljana. Sampling was performed between January 2020 to December 2021. Groundwater samples were collected from the Kleče, Hrastje, Jarški prod, Šentvid wellfields (LP), and the Brest wellfield (LB). Groundwater sampling was performed at 13 preselected wells from all five wellfields. If the selected well was not operating, the closest well was sampled instead. Overall, 29 different wells were sampled, and 295 samples were collected monthly by the technical stuff of the water distribution company from a pipe directly connected to the specific well. The water was running for five minutes prior to the sampling. In-situ, temperature measurements were also recorded using a Superfast Thermapen 4 digital thermometer (Electronic Temperature Instruments Ltd). All water samples were collected in 60 ml HDPE bottles and stored at 5 °C until analysis. The isotope ratios of samples were performed at the Jožef Stefan Institute using a dual inlet isotope ratio mass spectrometer (DI IRMS, Finnigan MAT DELTA plus Finnigan MAT GmbH, Bremen, Germany) with an automated H₂-H₂O and CO₂-H₂O equilibrator HDOeq48 Equilibration Unit (custom built by M. Jaklitsch). The average sample repeatability was 0.3 ‰ for δ²H and 0.02 ‰ for δ¹⁸O. Deuterium excess (d−excess) was calculated as d−excess [‰] = δ²H − 8 x δ¹⁸O (Dansgaard, 1964). The obtained isotopic data provide information on the temporal and spatial variability of groundwater in the Ljubljana basin. The related surface water data is also archived at PANGAEA (Žagar et. al. 2022).
DOI: 10.48597/zg6r-yxjs
title: Measurement of Particle_number_concentration at Barrow

description: Measurement of Particle_number_concentration at Barrow
DOI: 10.6084/m9.figshare.24903018
title: Supplementary Material for: Dapagliflozin ameliorates ovulation disorders via attenuating activated microglia-mediated hypothalamic inflammation in HFD-fed mice

description: Introduction: Sodium-glucose cotransporter 2 inhibitors (SGLT2i) have shown neuroprotective effects in obese mice. However, whether SGLT2i can ameliorate high-fat diet (HFD)-related ovulation disorders remains unknown. The aim of this research was to investigate whether dapagliflozin improves HFD-induced ovulatory dysfunction by attenuating microglia-mediated hypothalamic inflammation. Methods: C57BL/6J female mice fed HFD were treated with dapagliflozin (1mg/kg) for 22 weeks. Plasma insulin, leptin, luteinizing hormone (LH), estradiol (E2), and IL-1β levels were also tested. Microglial morphology, cell numbers and SGLT2 expression were evaluated using immunofluorescence. The expression of IL-1, NLRP3, Kisspeptin, GnRH, SGLT2, insulin, and leptin receptors in the hypothalamus was determined using immunohistochemical staining. We also examined the effects of dapagliflozin on glucose metabolism and the release of inflammatory factor in palmitic acid (PA)-treated HMC3 cells. Results: As expected, dapagliflozin improved HFD-induced metabolic disturbances, peripheral versus central insulin and leptin resistance, and also restored the regular estrous cycle. Furthermore, dapagliflozin blunted microglia activation, NLRP3 inflammasome priming, hypothalamic inflammation, and increased the expression of gonadotropin-releasing hormone (GnRH) and Kisspeptin at proestrus in the hypothalamus. Additionally, dapagliflozin markedly reduced IL-6 and NO release and fat accumulation, decreased lactic acid production and glucose consumption, and inhibited mammalian target of rapamycin (mTOR) and hexokinase 2 (HK2) expression in PA-treated HMC3 cells. These effects suggest that dapagliflozin reduced the mTOR/HK2-mediated aerobic glycolysis. Conclusions: Dapagliflozin improved HFD-related ovulation disorders by regulating glucose metabolism through mTOR/HK2 signaling and attenuating microglia-mediated hypothalamic inflammation. These results validate the novel role for the neuroprotection of SGLT2i in HFD-induced obesity and ovulation disorders.
DOI: 10.48597/zhde-ntws
title: Measurement of Particle_number_concentration at Barrow

description: Measurement of Particle_number_concentration at Barrow
DOI: 10.48597/zu9c-y5qh
title: Measurement of Particle_number_concentration at Barrow

description: Measurement of Particle_number_concentration at Barrow
DOI: 10.48597/245c-gjz9
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/28un-jbbx
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/2rna-am8r
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/35jf-fkjq
title: Measurement of Particle_number_concentration at Bondville

description: Measurement of Particle_number_concentration at Bondville
DOI: 10.48597/3mpd-43d2
title: Measurement of Particle_number_concentration at Alert

description: Measurement of Particle_number_concentration at Alert
DOI: 10.48597/3xux-wenx
title: Measurement of Particle_number_concentration at Bondville

description: Measurement of Particle_number_concentration at Bondville
DOI: 10.48597/4c76-edbc
title: Measurement of Particle_number_concentration at Bondville

description: Measurement of Particle_number_concentration at Bondville
DOI: 10.48597/4j6d-s54x
title: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)

description: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)
DOI: 10.48597/4uhg-2782
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/4zdt-rbry
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/56mm-9hgy
title: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)

description: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)
DOI: 10.48597/5tsk-7h9p
title: Measurement of Particle_number_concentration at Bondville

description: Measurement of Particle_number_concentration at Bondville
DOI: 10.48597/5ww7-xhcs
title: Measurement of Particle_number_concentration at El Arenosillo

description: Measurement of Particle_number_concentration at El Arenosillo
DOI: 10.48597/63zg-tfj5
title: Measurement of Particle_number_concentration at Bondville

description: Measurement of Particle_number_concentration at Bondville
DOI: 10.48597/6cvr-58sh
title: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)

description: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)
DOI: 10.48597/6nsb-yms2
title: Measurement of Particle_number_concentration at Bondville

description: Measurement of Particle_number_concentration at Bondville
DOI: 10.48597/739k-mjx7
title: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)

description: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)
DOI: 10.48597/7eag-bq5d
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/7u6f-s2e5
title: Measurement of Particle_number_concentration at Bondville

description: Measurement of Particle_number_concentration at Bondville
DOI: 10.48597/8rgd-kv63
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/8tuy-tync
title: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)

description: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)
DOI: 10.48597/8xjh-xht2
title: Measurement of Particle_number_concentration at Bondville

description: Measurement of Particle_number_concentration at Bondville
DOI: 10.48597/97rz-jzvm
title: Measurement of Particle_number_concentration at Bondville

description: Measurement of Particle_number_concentration at Bondville
DOI: 10.48597/9ypw-r54d
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/a9tj-x9b6
title: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)

description: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)
DOI: 10.48597/ab9u-b84r
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/abjf-fay3
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/ajnm-dyam
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/ajrs-zjep
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/ascv-v4v8
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/aud6-vds4
title: Measurement of Particle_number_concentration at K-puszta

description: Measurement of Particle_number_concentration at K-puszta
DOI: 10.48597/avsk-pxex
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/bwj2-w2dp
title: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)

description: Measurement of Particle_number_concentration at Appalachian State University, Boone (NC)
DOI: 10.48597/bxwf-yy95
title: Measurement of Particle_number_concentration at K-puszta

description: Measurement of Particle_number_concentration at K-puszta
DOI: 10.48597/cgee-4wqm
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/d5kc-fz8q
title: Measurement of Particle_number_concentration at Alert

description: Measurement of Particle_number_concentration at Alert
DOI: 10.48597/dfgv-nngh
title: Measurement of Particle_number_concentration at Alert

description: Measurement of Particle_number_concentration at Alert
DOI: 10.48597/dv8n-2n7x
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/e62x-3x5c
title: Measurement of Particle_number_concentration at Bondville

description: Measurement of Particle_number_concentration at Bondville
DOI: 10.15468/dl.b42y2h
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrtandra limnophila Kraenzl."
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160187-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddynmw
title: Occurrence Download

description: A dataset containing 36728681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present",
 "Year 2014-2014"
 ]
}

 The dataset includes 36728681 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0109436-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.65zpxx
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mimosa dolens var. pangloea Barneby"
 ]
}

 The dataset includes 15 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003603-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kt3nyf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Microbial (Bacteria, 16S) Diversity in Antarctic marine sediments (Admiralty Bay and Bransfield Strait)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041402-181108115102211/datasets/export for details.
DOI: 10.15468/dl.ty9tmj
title: Occurrence Download

description: A dataset containing 139730 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Atlantic Reference Centre Museum of Canadian Atlantic Organisms - Invertebrates and Fishes Data"
 ]
}

 The dataset includes 139730 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160174-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.