cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7523763
title: The database of CyanoHABs in China's inland waters

description: The CyanoHABs database includes two tables in total as follows: the records information table and the CyanoHABs information table. The records information table contains the basic information of the obtained literature or media reports, including the title and date of the report, name of the literature or media, data source, type of report, and the CyanoHABs judgment method. The CyanoHABs information table contains the information about the occurrences of CyanoHABs in China’s inland waters, including the name of water bodies, the date of CyanoHABs and the area of CyanoHABs.
DOI: 10.5281/zenodo.7523762
title: The database of CyanoHABs in China's inland waters

description: The CyanoHABs database includes two tables in total as follows: the records information table and the CyanoHABs information table. The records information table contains the basic information of the obtained literature or media reports, including the title and date of the report, name of the literature or media, data source, type of report, and the CyanoHABs judgment method. The CyanoHABs information table contains the information about the occurrences of CyanoHABs in China’s inland waters, including the name of water bodies, the date of CyanoHABs and the area of CyanoHABs.
DOI: 10.6084/m9.figshare.21863982
title: Data for "Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in patients with moderate-severe acute respiratory distress syndrome: A multicenter observational study"

description: This dataverse was used to suggest a dynamic ventilation regimen for acute respiratory distress syndrome patients.
DOI: 10.6084/m9.figshare.21863982.v1
title: Data for "Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in patients with moderate-severe acute respiratory distress syndrome: A multicenter observational study"

description: This dataverse was used to suggest a dynamic ventilation regimen for acute respiratory distress syndrome patients.
DOI: 10.5281/zenodo.7393951
title: Redolfi_De_Zan_etal_Supplementary_files

description: Supplementary files from Redolfi De Zan etal The big five: species distribution models from citizen science data as tool for preserving the largest protected saproxylic beetles in Italy. Submitted to Diversity: Raster files of the Italian distribution of suitable habitat for L. cervus, R. alpina, C. cerdo, M. asper asper/funereus, Osmoderma spp. Vector layer of Italian protected areas with mean, median and maximum values of the habitat suitability maps of the above mentioned species. <strong>Figure A1. </strong>Histograms of the environmental variables importance assessed by the SDM framework for each taxonomic unit: in (a), <em>Morimus asper asper/funereus</em>; in (b), <em>Lucanus cervus</em>; in (c) <em>Cerambyx cerdo</em>; in (d) <em>Rosalia alpin</em>a; in (e) <em>Osmoderma</em> spp. <strong>Table A.1. </strong>SDM framework’s outcomes for each taxonomic unit (TU) according to the combination of modelling method/partitioning method/replications. Chosen models to be combined in order to produce the habitat suitability map for each TU were marked by (*). See main document for details on the choosing criterion and combining procedure.
DOI: 10.5281/zenodo.7523948
title: Redolfi_De_Zan_etal_Supplementary_files

description: Supplementary files from Redolfi De Zan etal The big five: species distribution models from citizen science data as tool for preserving the largest protected saproxylic beetles in Italy. Submitted to Diversity: Raster files of the Italian distribution of suitable habitat for L. cervus, R. alpina, C. cerdo, M. asper asper/funereus, Osmoderma spp. Vector layer of Italian protected areas with mean, median and maximum values of the habitat suitability maps of the above mentioned species. <strong>Figure S1. </strong>Histograms of the environmental variables importance assessed by the SDM framework for each taxonomic unit: in (a), <em>Morimus asper asper/funereus</em>; in (b), <em>Lucanus cervus</em>; in (c) <em>Cerambyx cerdo</em>; in (d) <em>Rosalia alpin</em>a; in (e) <em>Osmoderma</em> spp. <strong>Table S1. </strong>SDM framework’s outcomes for each taxonomic unit (TU) according to the combination of modelling method/partitioning method/replications. Chosen models to be combined in order to produce the habitat suitability map for each TU were marked by (*). See main document for details on the choosing criterion and combining procedure.
DOI: 10.5281/zenodo.7393950
title: Redolfi_De_Zan_etal_Supplementary_files

description: Supplementary files from Redolfi De Zan etal The big five: species distribution models from citizen science data as tool for preserving the largest protected saproxylic beetles in Italy. Submitted to Diversity: Raster files of the Italian distribution of suitable habitat for L. cervus, R. alpina, C. cerdo, M. asper asper/funereus, Osmoderma spp. Vector layer of Italian protected areas with mean, median and maximum values of the habitat suitability maps of the above mentioned species. <strong>Figure S1. </strong>Histograms of the environmental variables importance assessed by the SDM framework for each taxonomic unit: in (a), <em>Morimus asper asper/funereus</em>; in (b), <em>Lucanus cervus</em>; in (c) <em>Cerambyx cerdo</em>; in (d) <em>Rosalia alpin</em>a; in (e) <em>Osmoderma</em> spp. <strong>Table S1. </strong>SDM framework’s outcomes for each taxonomic unit (TU) according to the combination of modelling method/partitioning method/replications. Chosen models to be combined in order to produce the habitat suitability map for each TU were marked by (*). See main document for details on the choosing criterion and combining procedure.
DOI: 10.17632/y569zf3bjf.1
title: Evaluation of Quality of Life, Fatigue Severity and Functional Status in Post COVID-19 Patients - Cross-Over Longitudinal Study

description: INTRODUCTION: Covid-19 is a pandemic disease which is affecting the people across the globe and have a significant influence on the condition of physical, mental problems like depression, anxiety, poor sleep, and social health, including patients with mild illness. It has been shown that after viral infections, patients often sustain functional limitations over a long period after discharge from the hospital. So the Purpose Of study was to evaluate the fatigue severity, quality of life and Functional status in the post COVID-19 patient at 2nd week and after 1 year of discharge. 
METHODOLOGY: Subjects were selected according to the inclusion and exclusion criteria. Procedure was explained to the subjects and were interviewed for assessing the quality of life, fatigue severity and functional status on 2nd weeks of discharge or completion of isolation period of covid-19 & same individuals were interviewed with the same outcome measures after 1 year. The data was collected and results were carried out. 
RESULTS: Fatigue severity on 2nd week was 3.87+1.255(mean+ SD) & 1 year was 1.058+0.156. For quality of life on 2nd week 2.7% poor, 19.2% fair, 43.8% good, 27.4% very good, 6.8% excellent health & after 1 year was, 0% shows poor and fair health condition, 4.1% good, 15.1% very good, 80.8% excellent health condition. Functional status on 2nd week was 21.9% no functional limitations, 26.0% negligible functional limitations, 38.4% slightly functional limitations, 13.7% moderate functional limitations, 0.0% severe functional limitations & after 1 year was 94.5% no functional limitations, 5.5% negligible functional limitations, 0.0% slightly functional limitations, 0.0% moderate functional limitations, 0.0% severe functional limitations. 
CONCLUSION: The quality of life, Functional status in post COVID-19 patients is improved after 1 year as compare to 2nd week. Fatigue severity is less after 1 year of covid-19 as compared to 2nd week. But fatigue still persists in negligible percentage after 1 year of covid-19. So the study concludes that covid-19 might lead to long term physical illness.
DOI: 10.17632/3jv78pby8v.2
title: Raw data of Relative risk factors of nerve root sedimentation sign (Sedsign) in patients with severe central lumbar spinal stenosis (LSS)

description: raw data of Relative risk factors of nerve root sedimentation sign (Sedsign) in patients with severe central lumbar spinal stenosis (LSS)
DOI: 10.17632/3jv78pby8v.1
title: Raw data

description: raw data of Relative risk factors of nerve root sedimentation sign (Sedsign) in patients with severe central lumbar spinal stenosis (LSS)
DOI: 10.17632/3jv78pby8v.3
title: Raw data of Relative risk factors of nerve root sedimentation sign (Sedsign) in patients with severe central lumbar spinal stenosis (LSS)

description: raw data of Relative risk factors of nerve root sedimentation sign (Sedsign) in patients with severe central lumbar spinal stenosis (LSS)
DOI: 10.17632/y3jk3twbgn.1
title: Analysis of IPC classification codes frequency in patents concerning "in situ" soil remediation technologies (CPC code B09C2101)

description: As already explained in our previous publication (Analysis of IPC classification codes frequency in patents concerning “in situ” remediation technologies), our Patlib Centre is involved in the context of Horizon2020 funded projects aimed at soil remediation. Therefore, we are especially interested in identifying the trends of the relevant soil remediation technologies that score the highest frequency of citation within the patent dataset. By means of an iterative procedure based on the t-distributed stochastic neighbor embedding (tSNE) algorithm, the patent families can be included in clusters depending on presence/absence of IPC subgroups or main groups or subclasses, chosen among those most abundant in the dataset. Therefore, following three rounds of clustering, about 90% of the initial ‘dataset 1’ (including 1632 simple families - as defined by the European Patent Office) become "unpacked" and clustered. Further assessments based on the patent bibliographic data can be performed, the essential advantage being that the technical content of each cluster is homogeneous, so that the results are aggregated depending on the pattern of specific IPC codes common to each cluster. Within the abovementioned 1632 simple families of the ‘dataset 1’ initially analyzed, there is evidence of 290 simple families, each one being characterized by the assignment of the CPC classification code B09C2101, specifically dealing with “in situ” remediation of soil. Apart from these 290 simple families, a specific search query made on Patstat online, aimed at selecting those patent documents to whom the CPC code B09C2101 has been assigned, has revealed the presence of additional 2521 simple patent families (included in the ‘dataset 2’ and not included in ‘dataset 1’) that underwent a substantially similar analysis focusing on the IPC classification codes’ distribution already described as far as ‘dataset 1’ is concerned. From the observation that in ‘dataset 1’ IPC classification codes such as B09C1/08 and B09C1/10 are among those most frequently assigned to the patent families, further analysis of the patent families of ‘dataset 2’ has been focused on these two IPC classification codes. In fact, these are the most representative also in ‘dataset 2’. Therefore, the analysis based on codes different from the IPC B09C1/00 (reclamation of contaminated soil), which is significantly represented in both datasets although not referring to a specific soil decontamination technique, reveals that for the time being soil decontamination often entails methodologies based on electrochemical remediation as well as microbiological techniques, for example based on the use of enzymes. The information that can be gathered from both datasets is comprehensive being based on data arguable from 4153 patent families.
DOI: 10.17632/46vb7pcnp5.1
title: Raw Data of Relative risk factors of nerve root sedimentation sign (Sedsign) in patients with severe central lumbar spinal stenosis (LSS)

description: The incidence of nerve root sedimentation sign (Sedsign) was evaluated to explore potential pathogenesis in patients with severe lumbar spinal stenosis (LSS). 290 intervertebral levels were narrow in total 209 patients with severe LSS, among which 248 were shown  a positive Sedsign and the prevalence was 85.52%. Those levels with a positive Sedsign were further analyzed relative to those with a negative Sedsign. There was no significant difference between the two groups for the cross-sectional area (CSA) or the posteroanterior diameter (PAD). In contrast, there was a significant difference between the groups for the grade of degenerative facet joint (DFJ) (p < 0.05), the thickness of ligamentum flavum (TLF) (p < 0.01), and the cross-sectional area difference (CSAD) (p < 0.01). In addition, receiver operating characteristic (ROC) curves were used to identify associated factors. The area under the ROC curve for PAD was 0.608 (p < 0.05), for DFJ was 0.634 (p < 0.05), for TLF was 0.74(, p < 0.01), and for CSAD was 0.911 (p < 0.01). In summary, a positive Sedsign has notable advantages in assisting with the diagnosis of severe LSS. Compression of the dural sac from the rear may be the main risk factors of a positive Sedsign.
DOI: 10.17632/b34rmkkgt7.1
title: Design Controller of An Induction Motor Based On Neural Networks Designed And Trained Using Genetic Algorithm

description: This paper presents A New Methodology for Controlling Ac Motor’s Speed by Using Controller Depends On Genetic Neural Networks Using Three Phase Bridge Inverter, To See the Effectiveness of the Proposed Controller in Controlling the Speed of an Ac Motor, It Was Compared with Pi Controller, The Proposed Controller Depends On Genetic Neural Networks That Processes the Speed Error Signal of the Motor and Its Derivative Signal in Order to Control the Voltage That Feeds the Motor.
DOI: 10.17632/b34rmkkgt7.2
title: Design Controller of An Induction Motor Based On Neural Networks Designed And Trained Using Genetic Algorithm

description: This paper presents A New Methodology for Controlling Ac Motor’s Speed by Using Controller Depends On Genetic Neural Networks Using Three Phase Bridge Inverter, To See the Effectiveness of the Proposed Controller in Controlling the Speed of an AC Motor, It Was Compared with Pi Controller, The Proposed Controller Depends On Genetic Neural Networks That Processes the Speed Error Signal of the Motor and Its Derivative Signal in Order to Control the Voltage That Feeds the Motor.
DOI: 10.17632/b34rmkkgt7.3
title: Design Controller of An Induction Motor Based On Neural Networks Designed And Trained Using Genetic Algorithm

description: This paper presents A New Methodology for Controlling Ac Motor’s Speed by Using Controller Depends On Genetic Neural Networks Using Three Phase Bridge Inverter, To See the Effectiveness of the Proposed Controller in Controlling the Speed of an AC Motor, It Was Compared with Pi Controller, The Proposed Controller Depends On Genetic Neural Networks That Processes the Speed Error Signal of the Motor and Its Derivative Signal in Order to Control the Voltage That Feeds the Motor.
DOI: 10.17632/dzpmvpm3tr.1
title: Capture RIC-seq reveals positional rules of PTBP1-associated RNA loops in splicing regulation. Ye et al.

description: Original data of gels and blots for the manuscript, "Capture RIC-seq reveals positional rules of PTBP1-associated RNA loops in splicing regulation", submitted to Molecular Cell.
DOI: 10.17632/72946296mv.1
title: Students' Test Scores and their Feedback on Learning Transformation Geometry Using STAD Model

description: The data presented here was gathered via quizzes (Appendix 1 and 2), an achievement test (Appendix 3), and a semi-structured questionnaire (Appendix 4) regarding students' feedback on learning transformation geometry using the student teams-achievement division model of cooperative learning. Dataset 1 contains information about students' test scores, group scores, and closed-ended questionnaire responses. Dataset 2 contains open-ended questionnaire responses.
DOI: 10.17632/nst3mp7h2t.1
title: MC Nakagawa et al. (2022)

description: Image data related to Nakagawa et al., Structure and engineering of the minimal type VI CRISPR-Cas13bt3
DOI: 10.17632/6h3ks7xwvv.1
title: The mediating role of social avoidance

description: This data is the supplementary material of my journal article. With  appropriate reason, it is available. But please ensure the correct use of it.
DOI: 10.17632/6d8kfnndng.1
title: Anchors test database

description: the file contains the results of tensile confined and unconfined tests of bonded anchors
DOI: 10.17632/gd5g768xxt.1
title: Gender relations in indigenous chicken production value-chain nodes

description: This data is the output of a broader Gender Inclusive Vaccine Ecosystem (GIVE) Project that sought to enhance the distribution and use of Newcastle disease and CCPP vaccines among smallholder chicken and shoat farmers in Makueni County, South East Kenya. The data contained here is on gender relations in indigenous chicken production value-chain nodes.
DOI: 10.6084/m9.figshare.19168385
title: Climate and intraspecific diversity in a consumer species drive ecosystem multifunctionality.

description: Climate change is altering the multifunctionality of ecosystems worldwide, and is often associated to changes in biodiversity that can modulate the impacts of climate change on ecosystems through interactive effects. Genetic and phenotypic variation within species are particularly influenced by climatic conditions, and can mediate several ecosystem processes. Here, we tested whether climate change can interact with intraspecific diversity to drive ecosystem multifunctionality. We used a mesocosm experiment to test the consequences of intraspecific variation (population identity and trait variation) of a consumer fish species (European minnow, <i>Phoxinus phoxinus</i>) and climate on ecosystem multifunctionality, as well as on the biomass of a subsequent fish generation (long-term effects). We found that individuals from different populations affect ecosystem multifunctionality independently of climate, and that multifunctionality differed between cold and warm mesocosms. Moreover, when investigating sub-components of multifunctionality, we found a positive relationship between individual metabolic rate and multifunctional primary production in warm mesocosms, whereas this relationship was reversed in cold mesocosms. We similarly found evidence that the long-term effect of intraspecific trait variation on the biomass of the next fish generation was climate-dependent. These findings demonstrate that intraspecific diversity can have strong consequences on ecosystem multifunctionality, and that intraspecific diversity must be considered in addition to other components of global change to predict the impacts of global change on ecosystem multifunctionality.
DOI: 10.6084/m9.figshare.19168385.v1
title: Climate and intraspecific diversity in a consumer species drive ecosystem multifunctionality.

description: Climate change is altering the multifunctionality of ecosystems worldwide, and is often associated to changes in biodiversity that can modulate the impacts of climate change on ecosystems through interactive effects. Genetic and phenotypic variation within species are particularly influenced by climatic conditions, and can mediate several ecosystem processes. Here, we tested whether climate change can interact with intraspecific diversity to drive ecosystem multifunctionality. We used a mesocosm experiment to test the consequences of intraspecific variation (population identity and trait variation) of a consumer fish species (European minnow, <i>Phoxinus phoxinus</i>) and climate on ecosystem multifunctionality, as well as on the biomass of a subsequent fish generation (long-term effects). We found that individuals from different populations affect ecosystem multifunctionality independently of climate, and that multifunctionality differed between cold and warm mesocosms. Moreover, when investigating sub-components of multifunctionality, we found a positive relationship between individual metabolic rate and multifunctional primary production in warm mesocosms, whereas this relationship was reversed in cold mesocosms. We similarly found evidence that the long-term effect of intraspecific trait variation on the biomass of the next fish generation was climate-dependent. These findings demonstrate that intraspecific diversity can have strong consequences on ecosystem multifunctionality, and that intraspecific diversity must be considered in addition to other components of global change to predict the impacts of global change on ecosystem multifunctionality.
DOI: 10.17632/5ybtjwpf3j.1
title: Uncropped Blots Griewahn et al.

description: Uncropped Western Blots (labelled) for the accepted manuscript Cell Reports  D-22-03386.
DOI: 10.17632/5ybtjwpf3j.2
title: Uncropped Blots Griewahn et al.

description: Uncropped Western Blots (labelled) for the accepted manuscript Cell Reports  D-22-03386.
DOI: 10.17632/5d9t84nrkg.1
title: dataset for 'Machine learning complex interactions among recovery, precipitation, and recrystallization for Nb micro-alloyed steels'

description: This data include static softening fraction and static recrystallization fraction of Nb micro-alloyed steels collected from published literaures and raw data for plot Fig.1 to Fig.13.
DOI: 10.17632/pdpfhgfmf4.1
title: Early effects of intravitreal anti-VEGF agents on cornea and AV of DR

description:  A total 38 eyes (30 patients) were enrolled in this study. Twenty-one eyes received conbercept, and 17 eyes received ranibizumab by intravitreal injection. Twenty eyes were classified as NPDR and 18 eyes as PDR. No significant difference were found between the groups receiving conbercept and ranibizumab in the increase in BCVA (−0.08 ± 0.06 vs. −0.05 ± 0.03 LogMAR, P = 0.60 > 0.05) nor in the increase of CCT (−1.5 ± 4.5 vs. 2.7 ± 1.2 μm, P = 0.42 > 0.05). As compared with patients with NPDR eyes, those with PDR eyes demonstrated a significantly greater increase in CCT (−5.1 ± 3.7 vs. 6.5 ± 2.8 μm, P = 0.02 < 0.05) but not in BCVA (−0.1 ± 0.04 vs. −0.03 ± 0.06 LogMAR, P = 0.33 > 0.05).
DOI: 10.17632/wrr4g4fpfc.1
title: Data of The numerical error of the Xinanjiang model 

description: The inputs and outputs of five numerical experiments.
DOI: 10.17632/wrr4g4fpfc.2
title: Data of The numerical error of the Xinanjiang model 

description: The inputs and outputs of five numerical experiments.
DOI: 10.17632/ky2vybch4z.1
title: Dataset for statistical analyses 

description: Dataset for manuscript "Effects of domestication and socio-ecology on behavioural and hormonal correlates of conspecific interactions in dogs and wolves"
DOI: 10.17632/ky2vybch4z.2
title: Dataset for statistical analyses 

description: Dataset for manuscript "Similar behavioural but different endocrine responses to conspecific interactions in hand-raised wolves and dogs"
DOI: 10.17632/6v496pf3r2.1
title: R code

description: R script for fitting models for manuscript "Effects of domestication and socio-ecology on behavioural and hormonal correlates of conspecific interactions in dogs and wolves"
DOI: 10.17632/6v496pf3r2.2
title: R code

description: R script for fitting models for manuscript "Similar behavioural but different endocrine responses to conspecific interactions in hand-raised wolves and dogs"
DOI: 10.17632/syhpf6c8x5.1
title: Knobe, data, ethics and education

description:  Data from a survey on the Knobe effect among 700+ undergraduate students from Law and Economics programs. Their answers to the original vignettes of Knobe exhibit the typical pattern of the Knobe effect
DOI: 10.17632/syhpf6c8x5.2
title: Knobe effect, data, economics students vs law students

description:  Data from a survey on the Knobe effect among 700+ undergraduate students from Law and Economics programs. Their answers to the original vignettes of Knobe exhibit the typical pattern of the Knobe effect. But we find that answers to the question of what the company deserves are more symmetrical.