cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8chdw8vgw9.2
title: Microplastics persist in an arable soil but do not affect soil microbial biomass, enzyme activities, and crop yield

description: We provide reproducible R-codes and data sets accompanying the research article "Microplastics persist in an arable soil but do not affect soil microbial biomass, enzyme activities, and crop yield", which is published in the Journal of Plant Nutrition and Soil Science, Wiley‐VCH GmbH (Article DOI: 10.002/jpln.202200062).

This study aimed to better understand the fate of MP and effects of MP on microbial abundance and activity related to C cycling, as well as crop yields in arable soils. We established a field experiment (1) to investigate MP background concentrations, (2) to quantify concentrations of added conventional and biodegradable MP after one and 17 months of addition, and (3) to identify potential effects of MP and of MP‐containing organic fertilizers on soil microbial abundance, activities of selected C cycling enzymes, and crop yields. We expected that (1) the arable soil shows a low but significant background MP loading (before setup), (2) biodegradable MP (PLA/PBAT) fragments in soil, (3) conventional MP (LDPE) persists and is not altered, (4) biodegradation of PLA/PBAT leads to increased activity of lipase in soil as this enzyme catalyzes ester bond cleavage, but microbial abundance, activities of enzymes catalyzing other reactions, and crop yields are not affected because breakdown of PLA/PBAT is slow and direct toxic effects MP on plants are unlikely, (5) due to its persistence, LDPE has no impact on soil microbiological indicators of C cycling or crop yields.

We organized research data and analyses in two folders ("MPAnalytics" and "CarbonCycling&CropYields"). "MPAnalytics" contains all data on MP concentrations in the arable soil, while "CarbonCycling&CropYields" contains data on soil enzymes involved in C cycling, microbial carbon and nitrogen, and crop yields. See the README.html file for details on the data sets and instructions on how to run the R codes.
DOI: 10.17632/zbnx8m77v3.1
title: AR review and meta-analysis in K-12

description: The coding manual, coding results, and meta-analysis data for the review article.
DOI: 10.17632/khwz4g6jhg.1
title: China's industrial sector's emission 2014-2019 with code

description: The attached spreadsheet contains computed China's industrial sector's emissions for 2014-2019 as well as code for computing factors responsible for the change in industrial energy and emission by additive and multiplicative LMDI.  Data for other variables were gotten from China's Statistical yearbook at http://www.stats.gov.cn
DOI: 10.17632/znzxn3hbck.1
title: Endotoxic postconditioning relieves abnormalities in renal vasoconstriction and AT1/ACE/ACE2 signaling in preeclamptic offspring: effects of sex and antenatal Ang1-7 therapy

description: Endotoxic postconditioning relieves abnormalities in renal vasoconstriction and AT1/ACE/ACE2 signaling in preeclamptic offspring: effects of sex and antenatal Ang1-7 therapy
DOI: 10.17632/yxn9bjzwn6.2
title: Data for "Modeling sediment trapping process in vegetative filter strips on steep slopes"

description: The dataset includes the simulated and observed data for "Modeling sediment trapping and re-erosion in vegetative filter strips on sloping surfaces".
DOI: 10.17632/z46my2brw6.1
title: Supplemental Materials - Association of Hidradenitis Suppurativa and Liver Disease: A Systematic Review and Meta-Analysis

description: Supplemental Materials for above manuscript.
DOI: 10.17632/vpngwkmjvf.1
title: Supplemental Materials for Review

description: Supplemental Materials
DOI: 10.17632/jxg4x9t8tz.3
title: ABPM anxiety disorders

description: Fifty consecutive outpatients with anxiety disorders and personality disorders who participated in intensive group psychotherapy were included. Diagnoses were made according to DSM-IV-TR criteria using the PSE-10 questionnaire. Out of 50 patients, 17 were diagnosed with Panic Disorder and 21 with Generalized Anxiety Disorder. The control group consisted of 40 healthy people from the general population. 
None of the people included in any of the groups had a diagnosis of hypertension nor cardiovascular disease or any serious somatic disease. To study the 24-hour automatic monitoring of blood there were used ABPM recorders (ambulatory blood pressure measurement) Medilog Accutracker DX that combine auscultatory and ECG techniques. For the day record (from 7.01 to 22.00) time interval was 20 minutes and for the night record (from 22.01 to 7.00) it was 30 minutes. For the analysis of the obtained record, the ABP Suprima – Medilog Oxford system was used. The result of this phase of the analysis was the digital record containing the set of systolic and diastolic pressure values. Taking into consideration the diverse circadian activity of the studied people, the comparison of average blood pressure during periods of day and night – excluding waking up and falling asleep – was made. Based on the analysis of the studied people’s circadian activity, to estimate the average blood pressure during the day, the period between 10 a.m. and 8 p.m. was assumed, and to estimate the average blood pressure during the night, the period between midnight and 6 a.m. was assumed.
variables: variables: age, sex, dwelling	(1 city>0.5 mln, 2 small city or suburbs) education (1 primary, 2 secondary, 3 higer), work (1 working, 2 student, 3 does not work), group (2-panic attacs, 1-withot panic attacs, 0-healthy controls), diag_ (1-panic, 2-GAD, 3-other), valid (0 rejected due to diagnosis, 1 included), DSM-IV-TR
(diagnoses DSM-IV-TR code), ICD-10 (diagnoses ICD-10 code), SDBP (mean systolic day blood pressure), SNBP mean systolic night blood pressure),  SDN_diff (SDBP-SNBP),  s_dipper (SDN_diff%), DDBP (mean diastolic day blood pressure),  DNBP (mean diastolic night blood pressure), DDN_diff	(DDBP-DNBP) d_dipper  d_dipper (DDN_diff%), s_dipp (systolic dipper), d_dipp (diastolic dipper),  t_dipp (systolic and diastolic dipper), SD_ndipp (reverse dipper),  BPs_7_04... (systolic BP, hour_sampleID)	BPd_7_2... (diastolic BP, hour_sample ID) 
i.e. 	BPs_7_05 means systolic blood pressure value at 7 am with index 04
	BPd_7_2 means diastolic blood pressure valus at 7 am with index 2
The indices corresponding to the same measuring point are the same
This version of data contains ICD-10 diagnoses and dwelling, education and work wariables
DOI: 10.17632/4z9m2nmbsf.1
title: Data of patients with anal fissure

description: Data of patients with anal fissure.
DOI: 10.17632/5ppkhh74f3.1
title: NYC Greenspace Data for "In The Zone"

description: Park distance and greenspace data used in the paper "In the Zone: The Effects of 2002-2010 Upzoning on Urban Life in New York City". 
Both datasets contain 2010,2018 data for greenspace and average park distance by census tract while the park distance data contains 2014 numbers (from the ACS). 
The method through which greenspace was calculated is described within the above paper.
DOI: 10.17632/3yc7d2ynrw.1
title: Data for Optimising ex-situ catalytic fast pyrolysis of pine wood: Impacts on the energy content, chemical composition and stability of the liquid fuel product

description: The dataset contains:
1)	GC/MS and NMR compositions of the organic phases produced by catalytic pyrolysis
2)	Coefficients for the equations modelling the GC/MS and 1H NMR compositions (%) of the organic phases from catalytic pyrolysis
DOI: 10.17632/6pvg5g79xp.1
title: Supplemental Table 1. Patient characteristics 

description: Supplemental Table 1. Patient characteristics 
Effectiveness of 1550 nm erbium-doped fractional photothermolysis laser for individual atrophic acne scar types and related clinical factors
DOI: 10.17632/k8yxfmh74z.1
title: Radioactive elements data set

description: Data was acquired via sample collection across 39 data points and was taken to the lab for analysis.
DOI: 10.17632/mjcdpy5z2d.1
title: Codes for replicating “The evolution of consumption inequality and risk-insurance in Chile”

description: This file includes all the codes necessary to replicate the analysis in the article “The evolution of consumption inequality and risk-insurance in Chile”, Emerging Markets Review, 2022, forthcoming. It shows the evolution of consumption inequality (total, within and between inequality), use of financial instruments and insurance, plus risk-sharing regression models for a pseudo panel created by cohorts of Chilean households from the Family Expenditures Survey (EPF) waves of 1987, 1997, 2007, 2012 and 2017.
DOI: 10.17632/htsjmgkktb.2
title: FakeNewsSites

description: An exhaustive list of Fake News Sites publishing fake news online
DOI: 10.17632/p2968x6zcs.1
title: Options Order Imbalance

description: The data is used to examine order imbalance.
DOI: 10.17632/8mpjtrjh45.1
title: Data In Brief _Code Smells_Metrics_Fault_ Data_TOMCAT

description: For the development of prediction model the association between metrics, code smells and faulty classes in post release object oriented open source systems (Tomcat) is examined.  An array of metrics is used as independent variables which includes diverse characteristics of design. Two type of cataloging for code smells - Class Level and Method Level are performed with a set of eight code smells as dependent variables. Reverse engineering code smell predictor application - iPlasma was used which was able to detect the selected code smells and Object Oriented metrics. The perceptiveness of the model on the whole is considered to be of fair to good quality and the model qualifies to be called as a successful model which may require further performance tuning in terms of data and algorithm parameters.
DOI: 10.17632/wx7dwj34c6.1
title: Data In Brief _Code Smells_Metrics_Fault_ Data_ECLIPSE 

description: For the development of prediction model the association between metrics, code smells and faulty classes in post release object oriented open source systems (Eclipse IDE) is examined.  An array of metrics is used as independent variables which includes diverse characteristics of design. Two type of cataloging for code smells - Class Level and Method Level are performed with a set of eight code smells as dependent variables. Reverse engineering code smell predictor application - iPlasma was used which was able to detect the selected code smells and Object Oriented metrics. The perceptiveness of the model on the whole is considered to be of fair to good quality and the model qualifies to be called as a successful model which may require further performance tuning in terms of data and algorithm parameters.
DOI: 10.17632/rwhckrvs69.1
title: LINF_300019400

description: amidohydrolase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/rzv98sxwtw.1
title: LINF_300018900

description: ATP-binding cassette protein subfamily H - member 3 | ABCH3
Leishmania infantum (strain JPCM5)
DOI: 10.17632/y8sp3489xt.1
title: Western blot analysis

description: Western blot analysis of hippocampus samples from healthy subjects and AD patients.
DOI: 10.17632/z96w6n822z.1
title: LINF_300018600

description: U3 small nuclear ribonucleoprotein (snRNP) | IMP4
Leishmania infantum (strain JPCM5)
DOI: 10.17632/hd4t24njy3.1
title: LINF_300018100

description: pyridoxal kinase | PdxK
Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.6855359
title: Supporting Information for "Quantifying the statistical relationships between flank eruptions and major earthquakes at Mt. Etna volcano (Italy)". Data Sets S1-S7.

description: This compressed folder contains supporting information related to the manuscript: "Quantifying the statistical relationships between flank eruptions and major earthquakes at Mt. Etna volcano (Italy)". Data Set S1. Catalog of flank eruptions<br> Historical catalog of flank eruptions of Mt. Etna from 1600 to 2018. Data Set S2. Catalog of major earthquakes<br> Macroseismic catalog of Etnean earthquakes from 1800 to 2018. Data Set S3. GIS dataset of Eruptive fissures<br> GIS shapefiles of eruptive fissures at Mt. Etna from 1800 to 2018. UTM WGS84, Zone 33 N. Data Set S4. Tests with ±2 months maximum inter-event time <br> Histograms of the inter-event time of earthquakes and flank eruptions lesser than ±2 months. Pie charts of the positive values (dark colors), negative values in [-2.5, 0] days (light colors), and lower than -2.5 days (white) are reported. Data Set S5. Tests with dt = 5 days moving window <br> Conditional rates of major earthquakes less than ±4 months from flank eruptions, obtained assuming dt = 5 days instead of dt = 10 days. A solid line marks the average annual rate of the earthquakes, and bold lines threshold rates 2, 5, and 10 times larger than the average value. Data Set S6. Tests on the eruptions end, including earthquakes in ±2.5 days from the onset<br> Conditional rates of major earthquakes less than ±4 months from flank eruptions end, obtained without excluding the earthquakes occurred in ±2.5 days from the onset. A solid line marks the average annual rate of the earthquakes, and bold lines threshold rates 2, 5, and 10 times larger than the average value. Data Set S7. Summary of inter-event time histograms <br> Histograms of the inter-event time of earthquakes and flank eruptions lesser than ±4 months, also decomposed according to spatial groups E1-E4 and fault systems F1-F4. Light-colored bars highlight the eruptions &gt; 2850 m.a.s.l.
DOI: 10.5281/zenodo.6855358
title: Supporting Information for "Quantifying the statistical relationships between flank eruptions and major earthquakes at Mt. Etna volcano (Italy)". Data Sets S1-S7.

description: This compressed folder contains supporting information related to the manuscript: "Quantifying the statistical relationships between flank eruptions and major earthquakes at Mt. Etna volcano (Italy)". Data Set S1. Catalog of flank eruptions<br> Historical catalog of flank eruptions of Mt. Etna from 1600 to 2018. Data Set S2. Catalog of major earthquakes<br> Macroseismic catalog of Etnean earthquakes from 1800 to 2018. Data Set S3. GIS dataset of Eruptive fissures<br> GIS shapefiles of eruptive fissures at Mt. Etna from 1800 to 2018. UTM WGS84, Zone 33 N. Data Set S4. Tests with ±2 months maximum inter-event time <br> Histograms of the inter-event time of earthquakes and flank eruptions lesser than ±2 months. Pie charts of the positive values (dark colors), negative values in [-2.5, 0] days (light colors), and lower than -2.5 days (white) are reported. Data Set S5. Tests with dt = 5 days moving window <br> Conditional rates of major earthquakes less than ±4 months from flank eruptions, obtained assuming dt = 5 days instead of dt = 10 days. A solid line marks the average annual rate of the earthquakes, and bold lines threshold rates 2, 5, and 10 times larger than the average value. Data Set S6. Tests on the eruptions end, including earthquakes in ±2.5 days from the onset<br> Conditional rates of major earthquakes less than ±4 months from flank eruptions end, obtained without excluding the earthquakes occurred in ±2.5 days from the onset. A solid line marks the average annual rate of the earthquakes, and bold lines threshold rates 2, 5, and 10 times larger than the average value. Data Set S7. Summary of inter-event time histograms <br> Histograms of the inter-event time of earthquakes and flank eruptions lesser than ±4 months, also decomposed according to spatial groups E1-E4 and fault systems F1-F4. Light-colored bars highlight the eruptions &gt; 2850 m.a.s.l.
DOI: 10.6084/m9.figshare.20330778
title: ALL LIFE-2022

description: ALL primary datas that support the findings
DOI: 10.6084/m9.figshare.20330778.v2
title: ALL LIFE-2022

description: ALL primary datas that support the findings
DOI: 10.6084/m9.figshare.20330778.v1
title: ALL LIFE-2022

description: ALL primary datas that support the findings
DOI: 10.17632/xhm5nrn8cr.3
title: Impact of Norway spruce pre-degradation stages induced by G. trabeum on fungal and bacterial communities

description: The supplementary data for the article titled "Impact of Norway spruce pre-degradation stages induced by G. trabeum on fungal and bacterial communities".
Supporting information file containing figure S1 (most abundant fungal OTUs (127) displayed at least 1 % abundance in at least one sample. The fungal OTUs were described at the species level and 11 of them were chosen (yes in red) to see a putative co-occurrence pattern with bacteria), figure S2 (Most abundant bacterial OTUs (116) displayed at least 1 % abundance in at least one sample. The bacterial OTUs were described at the family level and 30 of them were chosen (yes in red) to see a putative co-occurrence pattern with fungi), figure S3 (the abundance relative of Gloeophyllum trabeum found in each environment after data sequencing analysis), figure S4 ((A) Plot planted with Norway spruce selected for the study. (B) Experimental design with the location of the wood blocks in relation to the forest floor litter layer, and (C) Soil core sampling from selected area (90 x 45 cm) used for the study), and figure S5 (the photo illustrates the place where the samples were buried (red square representing the area of 90 x 45 cm) during 70 days at the Breuil-Chenue forest).  

Table S1. (A) Wood blocks degraded by Gloeophyllum trabeum, (B) chemical composition according to mass loss of wood blocks and (C) wood blocks incubated in situ.

Table S2. PERMANOVA analysis to measure the impact of environment types, the laboratory pre-degradation and the different pre-degradation stages on microbial community structures.

Table S3. Statistical analysis on the fungal and bacterial taxonomic abundance: (A) PERMANOVA analysis on microbial communities at different taxonomic level, (B) Pairwise comparison (T-test) of bacterial family abundance (p-value adjust method (holm)) between pre-degradation, non-decayed wood, soil and forest, (C) Pairwise comparison (T-test) of fungal genus abundance (p-value adjust method (holm)) between pre-degradation, non-decayed wood, soil and forest, (D) Pairwise comparison (T-test) of bacterial family abundance (p-value adjust method (holm)) between intermediate and advanced pre-degraded wood, and (E) Pairwise comparison (T-test) of fungal genus abundance (p-value adjust method (holm)) between non-, intermediate and advanced pre-degraded wood.   

Table S4. (A) Spearman rank correlation matrix between the abundance of 30 bacterial OTUs and 11 fungal OTUs, and (B) the associated p-value. 

Table S5. Site characteristics: (A) soil properties, (B) forest floor litter layerchemical properties and (C) C/N ratio of non-decayed wood. 

Table S6. (A) Bacterial and (B) Fungal OTU tables.
DOI: 10.17632/6r8dpk62nx.1
title: LINF_300019200

description: RIO2
Leishmania infantum (strain JPCM5)
DOI: 10.17632/zv6mf5w5m4.1
title: Socio-demographics, access to technological resources, and preferred online learning attributes of senior high school learners

description: Using quantitative study, the researcher examined the senior high school learners’ socio-demographic characteristics and access to technological resources, preferred online learning attributes, and their segmentation. Using Cochran's formula and disproportionate stratified random sampling technique, 300 learners were identified as respondents of the study. Five online learning attributes consisting of delivery type, lecture, learning tasks, learning materials, and assessment methods were analyzed through the orthogonal plan component of SPSS 22.0. Respondents voluntarily answered the 16 profiles with 2 holdouts generated by the orthogonal design using a 5-point Likert scale through online. The raw dataset was analyzed using descriptive statistics and multivariate tools such as conjoint analysis and cluster analysis to answer the research questions of the study through SPSS 22.0. More so, the clustered dataset was the result of the cluster analysis and it was used to profile and determine the preferences of each segment. The SPSS 22.0 outputs were analyzed and interpreted to delineate definitive conclusions on how to leverage online learning based on learners' preferences and segmentation.
DOI: 10.17632/x55gykypcb.1
title: PESTICIDES AGB

description: Raw sequences of Illumina MiSeq of the research based on the treatment of pesticides and nitrate using aerobic granular biomass  to provide drinking water
DOI: 10.6084/m9.figshare.17182985.v5
title: A bankfull geometry dataset for major exorheic rivers on the Qinghai-Tibet Plateau

description: Based on the Sentinel-2 and Landsat 5/7/8 multispectral instrument imageries combined with in-situ measured hydrological data, bankfull river geometry of six major exorheic river basins of the Qinghai-Tibet Plateau (the upper Yellow River, upper Jinsha River, Yalong River, Lantsang River, Nu River and Yalung Zangbo River) are presented. River surface of six mainstreams and major tributaries are included. For each river basin, two types of rivers are included: connected and disconnected rivers. Format of the dataset is .shp exported from the ArcGIS 10.5. Three products are included in the dataset: one original product (bankfull river surface dataset) and two derived products (bankfull river width dataset and bankfull river surface area dataset with a 1 km river length interval). These three products are in three folders. The first folder, “1-Bankfull River Surface”, contains river surface vectors for six river basins in the .shp file. The second folder, “2-Bankfull River Width”, contains bankfull river widths and corresponding coordinates with a 1 km-step river length for six mainstreams and some connected tributaries in .xlsx format. The river width vectors in the .shp files are also provided in the second folder. The third folder, “3-Bankfull River Surface Area”, contains bankfull river surface areas and corresponding coordinates with a 1 km-step river length for six mainstreams and some connected tributaries in .xlsx format.
DOI: 10.6084/m9.figshare.20330853
title: obsGPP and aveGPP

description: The GPP data used in https://doi.org/10.1016/j.scitotenv.2021.146965
DOI: 10.5281/zenodo.6855441
title: HHD_v0_2

description: This is the updated version of the HHD_v0 dataset. Several wrong labels were corrected. HDD_v0_2 consists of images of isolated Hebrew characters together with training and test sets subdivision. <br> The images were collected from hand-filled forms. For more details, please refer to [1]. When using this dataset in research work, please cite [1]. [1] I. Rabaev, B. Kurar Barakat, A. Churkin and J. El-Sana. The HHD Dataset. The <em>17<sup>th</sup> International Conference on Frontiers in Handwriting Recognition</em>, pp. 228-233, 2020.
description: {"references": ["I. Rabaev, B. Kurar Barakat, A. Churkin and J. El-Sana. The HHD Dataset. The 17th International Conference on Frontiers in Handwriting Recognition, pp. 228-233, 2020."]}
DOI: 10.5281/zenodo.4287441
title: HHD_v0_2

description: This is the updated version of the HHD_v0 dataset. Several wrong labels were corrected. HDD_v0_2 consists of images of isolated Hebrew characters together with training and test sets subdivision. <br> The images were collected from hand-filled forms. For more details, please refer to [1]. When using this dataset in research work, please cite [1]. [1] I. Rabaev, B. Kurar Barakat, A. Churkin and J. El-Sana. The HHD Dataset. The <em>17<sup>th</sup> International Conference on Frontiers in Handwriting Recognition</em>, pp. 228-233, 2020.
description: {"references": ["I. Rabaev, B. Kurar Barakat, A. Churkin and J. El-Sana. The HHD Dataset. The 17th International Conference on Frontiers in Handwriting Recognition, pp. 228-233, 2020."]}