cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/0waeam/iynwl9
title: annan_ugandafemales_prosocial_indexA_viol_exp_personal_std.tab

description: :unav
DOI: 10.6084/m9.figshare.3573483.v1
title: Additional File 22. nad5 codon alignment for PAML.

description: Additional File 22. nad5 codon alignment for PAML.
DOI: 10.6084/m9.figshare.3573477
title: Additional File 21. cob codon alignment for PAML

description: cob nucleotide alignment for PAML. No outgroup.<br>
DOI: 10.7910/dvn/0waeam/hn5lbf
title: bauer_georgia_gamesingroupegalitarian_std_viol_exp_dummy.tab

description: :unav
DOI: 10.7910/dvn/0waeam/2kt3b7
title: voors_burundi14_prosocial_indexM_viol_exp_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/pv9puj
title: gneezy_israel_TG_A_viol_exp_community_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/eptsa2
title: 1.Meta-analysis_replicate.R

description: :unav
DOI: 10.6084/m9.figshare.3573477.v1
title: Additional File 21. cob nucleotide alignment for PAML

description: cob nucleotide alignment for PAML. No outgroup.<br>
DOI: 10.7910/dvn/0waeam/dqclod
title: gilligan_nepal_prosocial_indexA_viol_exp_community_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/uumwce
title: bauer_sierra_leone_prosocial_indexA_viol_exp_community_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/96gy2j
title: grossman_israel_prosocial_indexA_viol_exp_personal_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/wlipjy
title: standardized_community_forest_knowledge_politics_RE.R

description: :unav
DOI: 10.17632/3ydrss9w73.1
title: Supplemental Data

description: Supplemental table and figures
DOI: 10.6084/m9.figshare.3573471.v2
title: PLoSONE_MRI_CAD_paper

description: Voxelwise one-class SVM predictive models used to estimate the support distribution of brain patterns extracted from MRI images of healthy control subjects.<br>SPM models and the results of the statistical analysis comparing 11 patients suffering from intractale epilepsy againt the same population of healthy control subjects.<br>
DOI: 10.7910/dvn/0waeam/z5zbyf
title: gneezy_israel_prosocial_indexA_viol_exp_dummy.tab

description: :unav
DOI: 10.7910/dvn/0waeam/c1mkyb
title: gilligan_nepal_knowledgepolitics_std_viol_exp_community_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/ls3jok
title: binary_forest_trust_outgroup_FE.R

description: :unav
DOI: 10.7910/dvn/0waeam/kzpyxv
title: voors_burundi14_trustingroup_std_viol_exp_dummy.tab

description: :unav
DOI: 10.7910/dvn/0waeam/w54wts
title: bateson_africa_knowledgepolitics_std_viol_exp_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/pxpuzt
title: forest_plot_groups_RE.pdf

description: :unav
DOI: 10.7910/dvn/0waeam/5soj8t
title: map_by_n_obs.pdf

description: :unav
DOI: 10.7910/dvn/0waeam/gzpjak
title: bauer_sierra_leone_prosocial_indexM_viol_exp_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/kbzlrr
title: gilligan_nepal_dict_sent_std_viol_exp_community_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/ypcpw5
title: forest_plot_trust_ingroup_RE.pdf

description: :unav
DOI: 10.17632/yn7vpd7bxk.1
title: Comparison of Deep Learning and Radiomics CT Image Signatures

description: This is a pneumonia CT dataset for the comparison of image signatures constructed by deep learning architecture and radiomics. The region of interest (ROI) of pneumonia on CT images was manually delineated by our radiologists using the ITK-Snap slice-by-slice. The pixel intensity of the pneumonia lesions contained within the ROI was the original CT intensity and the others was set to zero. The images in this HDF5 file was classified into COVID-19 positive and COVID-19 negative. The shape of each slice of CT images is (256, 256), which down-sampling from (512, 512). Please cite the reference if using this dataset: Hongmei Wang, Lu Wang, Edward H. Lee, Jimmy Zheng, Wei Zhang, Safwan Halabi, Chunlei Liu, Kexue Deng, Jiangdian Song, and Kristen W. Yeom. Decoding COVID-19 Pneumonia: Comparison of Deep Learning and Radiomics CT Image Signatures.
DOI: 10.7910/dvn/0waeam/sy5vnj
title: voors_burundi12_communityparticipation_std_viol_exp_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/v8mwcd
title: forest_plot_trust_outgroup_FE.pdf

description: :unav
DOI: 10.7910/dvn/0waeam/v8l2yu
title: forest_plot_knowledgepolitics_FE.pdf

description: :unav
DOI: 10.7910/dvn/0waeam/dpcqfe
title: gilligan_nepal_sharereturn_std_viol_exp_std.tab

description: :unav
DOI: 10.6084/m9.figshare.3573447
title: Ramkumar et al. (2016) Premotor and motor cortices encode reward

description: A dataset that was used in a paper by Ramkumar et al. (2016), PLoS One, to report the effect of reward on firing rates in the macaque premotor and motor cortices.
DOI: 10.7910/dvn/0waeam/plczgq
title: gilligan_nepal_prosocial_indexA_viol_exp_dummy.tab

description: :unav
DOI: 10.7910/dvn/0waeam/blwksh
title: bauer_georgia_egalitarian_std_viol_exp_personal_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/q8rzca
title: blattman_ugandamales_communityparticipation_std_viol_exp_personal_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/qqik28
title: cecchi_sierra_leone_dictator_std_viol_exp_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/rweew5
title: bateson_latin_america_prosocial_index_no_trustA_viol_exp_dummy.tab

description: :unav
DOI: 10.17632/kk6y7nnbfs.2
title: Images of COVID-19 positive and negative pneumonia patients

description: We uploaded the CT slices with suspected COVID-19 pneumonia signs marked by radiologists for each patient (both positive and negative) in this study to ensure that all patients' images can be uploaded within this capacity. Among them, CT images (training) from one hospital that can be divided into the training, validation, and test datasets are stored in the "Data_For_Training_Validation_Test.hdf5" file. The shape of each slice of CT images is (256, 256), down-sampling from (512, 512) in order to save space. The CT images from the other hospital used for external validation dataset is stored in the "ExternalValidationData.hdf5" file. The shape of each layer of CT images is (256, 256, 3). The data dimension should be extended to three when using BigBiGAN framework to extract image semantic features. In this dataset, in order to save space, we did not expand the training dataset. BigBiGAN training could be implemented using the source code we provide: https://github.com/MI-12/BigBIGAN-for-COVID-19. with h5py.File("TrainData.hdf5", 'r') as record: keys = list(record.keys()) The above two lines of code are used to obtain the keys of each image, that is, the name of each image. The name of the CT image is corresponds to the name of the image in the excel files provided. Please cite the reference if using this dataset: Jiangdian Song, Hongmei Wang, Yuchan Liu, Wenqing Wu, Gang Dai, Zongshan Wu, Puhe Zhu, Wei Zhang, Keisten W. Yeom, Kexue Deng. End-to-end automatic differentiation of the coronavirus disease 2019 (COVID-19) from viral pneumonia based on chest CT. European journal of nuclear medicine and molecular imaging (2020): 1-9.
DOI: 10.6084/m9.figshare.3571299
title: Premotor and motor cortices encode reward

description: This dataset was used to report the effect of reward on the firing rates of neurons in macaque premotor and motor cortices
DOI: 10.7910/dvn/0waeam/qurzrs
title: binary_forest_voting_FE.R

description: :unav
DOI: 10.6084/m9.figshare.3571299.v1
title: Premotor and motor cortices encode reward

description: This dataset was used to report the effect of reward on the firing rates of neurons in macaque premotor and motor cortices
DOI: 10.6084/m9.figshare.3571281
title: S22 IGH sequence dataset

description: Rearranged IGH VDJ sequences from a single subject. The subject's IGH immuno-genotype was inferred as part of doi: 10.1093/bioinformatics/btq604<br>The VDJs were amplified from genomic DNA template using BIOMED2 IGHV and a conserved IGHJ primer. Amplicons were then sequenced using the Roche 454 pyrosequencing platform. The dataset is provided in FASTA format.
DOI: 10.6084/m9.figshare.3571281.v1
title: S22 IGH sequence dataset

description: Rearranged IGH VDJ sequences from a single subject. The subject's IGH immuno-genotype was inferred as part of doi: 10.1093/bioinformatics/btq604<br>The VDJs were amplified from genomic DNA template using BIOMED2 IGHV and a conserved IGHJ primer. Amplicons were then sequenced using the Roche 454 pyrosequencing platform. The dataset is provided in FASTA format.
DOI: 10.7910/dvn/0waeam/wwkqa6
title: bauer_georgia_egalitarian_std_viol_exp_community_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/e56rmm
title: forest_plot_games_outgroup_RE.pdf

description: :unav
DOI: 10.6084/m9.figshare.3571272
title: Premotor and motor cortices encode reward

description: A dataset that was used in a paper by Ramkumar et al. (2016), PLoS One, to report the effect of reward on firing rates in the macaque premotor and motor cortices<br>
DOI: 10.7910/dvn/0waeam/wgeqcj
title: standardized_personal_forest_games_ingroup_RE.R

description: :unav
DOI: 10.6084/m9.figshare.3571272.v2
title: Premotor and motor cortices encode reward

description: A dataset that was used in a paper by Ramkumar et al. (2016), PLoS One, to report the effect of reward on firing rates in the macaque premotor and motor cortices<br>
DOI: 10.7910/dvn/0waeam/gprigc
title: bellows_sierra_leone_voting_std_viol_exp_community_std.tab

description: :unav
DOI: 10.6084/m9.figshare.3571272.v1
title: Mihili_05062014_rewardcontrol.mat

description: A dataset that was used in a paper by Ramkumar et al. (2016), PLoS One, to report the effect of reward on firing rates in the macaque premotor and motor cortices<br>
DOI: 10.7910/dvn/0waeam/bh5zqp
title: forest_plot_trust_ingroup_RE.pdf

description: :unav
DOI: 10.7910/dvn/0waeam/of6ola
title: grosjean_europe_trustall_std_viol_exp_community_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/7petco
title: cassar_tajikistan_trust_game_send_std_viol_exp_dummy.tab

description: :unav
DOI: 10.7910/dvn/0waeam/8mleex
title: bellows_sierra_leone_groupparticipation_std_viol_exp_community_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/2wdloi
title: bauer_sierra_leone_knowledgepolitics_std_viol_exp_dummy.tab

description: :unav
DOI: 10.6084/m9.figshare.3571194
title: Simulated_Data

description: Simulated data sets for MetaGen.
DOI: 10.7910/dvn/0waeam/d0ddct
title: 4.map.R

description: :unav
DOI: 10.7910/dvn/0waeam/0veeuq
title: annan_ugandafemales_voting_std_viol_exp_community_std.tab

description: :unav
DOI: 10.6084/m9.figshare.3571194.v2
title: Simulated_Data

description: Simulated data sets for MetaGen.
DOI: 10.7910/dvn/0waeam/llku5p
title: bateson_latin_america_groupparticipation_std_viol_exp_dummy.tab

description: :unav
DOI: 10.6084/m9.figshare.3571194.v1
title: Simulated_Data

description: Simulated data sets for MetaGen.
DOI: 10.7910/dvn/0waeam/jjj7lf
title: forest_plot_prosocial_indexM_FE.pdf

description: :unav
DOI: 10.7910/dvn/0waeam/wrqkso
title: bateson_us_canada_groupparticipation_std_viol_exp_personal_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/n1syzy
title: cassar_tajikistan_trust_game_send_std_viol_exp_community_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/zrf1rl
title: bateson_asia_voting_std_viol_exp_dummy.tab

description: :unav
DOI: 10.7910/dvn/0waeam/4di86o
title: rohner_uganda_trustingroup_std_viol_exp_community_std.tab

description: :unav
DOI: 10.7910/dvn/0waeam/qc05il
title: cassar_tajikistan_voting_std_viol_exp_personal_std.tab

description: :unav
DOI: 10.6084/m9.figshare.3571152
title: Soil depth shapes plant functional diversity in granite outcrops vegetation of Southwestern Australia

description: <b><i>Background</i></b>: The arid and nutrient-poor Southwestern Australia is one of the global biodiversity hotspots. Embedded in this landscape, granite outcrops are considered terrestrial insular habitats supporting habitat heterogeneity when compared to the more homogenous surrounds. Ecology of plant species and communities on granite outcrops has been addressed in numerous studies. However, functional diversity (FD) in context of the environmental heterogeneity remained unexplored. <b><i>Aims</i></b>: We tested whether mesic deep-soil habitats on granite outcrops can sustain larger FD than dry shallow-soil habitats. <b><i>Methods</i></b>: We calculated FD for dominant species for five single traits (leaf dry matter content, foliar δ<sup>13</sup>C, foliar C:N ratio, plant height and specific leaf area) and their combinations. We employed Generalized Additive Mixed Models to quantify the relationship between selected climate and soil depth variables, and FD. <b><i>Results</i></b>: More benign (deep-soil) habitats supported larger FD for foliar C:N, plant height and for multiple traits than did shallow-soil habitats. <b><i>Conclusions</i></b>: We suggest that: (1) functional diversification, likely aimed at avoiding intra- and interspecific competition for light and nutrients acquisition, might be the important factor in deep-soil habitats; (2) deep-soils patches on and around granite outcrops may serve as ecological microrefugia for biota associated with resource-rich environments.
DOI: 10.7910/dvn/0waeam/gm9lbg
title: 8.additional_results.R

description: :unav
DOI: 10.6084/m9.figshare.3571152.v1
title: Soil depth shapes plant functional diversity in granite outcrops vegetation of Southwestern Australia

description: <b><i>Background</i></b>: The arid and nutrient-poor Southwestern Australia is one of the global biodiversity hotspots. Embedded in this landscape, granite outcrops are considered terrestrial insular habitats supporting habitat heterogeneity when compared to the more homogenous surrounds. Ecology of plant species and communities on granite outcrops has been addressed in numerous studies. However, functional diversity (FD) in context of the environmental heterogeneity remained unexplored. <b><i>Aims</i></b>: We tested whether mesic deep-soil habitats on granite outcrops can sustain larger FD than dry shallow-soil habitats. <b><i>Methods</i></b>: We calculated FD for dominant species for five single traits (leaf dry matter content, foliar δ<sup>13</sup>C, foliar C:N ratio, plant height and specific leaf area) and their combinations. We employed Generalized Additive Mixed Models to quantify the relationship between selected climate and soil depth variables, and FD. <b><i>Results</i></b>: More benign (deep-soil) habitats supported larger FD for foliar C:N, plant height and for multiple traits than did shallow-soil habitats. <b><i>Conclusions</i></b>: We suggest that: (1) functional diversification, likely aimed at avoiding intra- and interspecific competition for light and nutrients acquisition, might be the important factor in deep-soil habitats; (2) deep-soils patches on and around granite outcrops may serve as ecological microrefugia for biota associated with resource-rich environments.
DOI: 10.7910/dvn/0waeam/pbarlp
title: forest_plot_groups_FE.pdf

description: :unav
DOI: 10.7910/dvn/0waeam/sgkvvt
title: grosjean_europe_prosocial_index_no_trustA_viol_exp_dummy.tab

description: :unav
DOI: 10.7910/dvn/0waeam/entuww
title: bauer_georgia_gamesoutgroupegalitarian_std_viol_exp_std.tab

description: :unav
DOI: 10.6084/m9.figshare.3571071
title: Oral bioavailability enhancement through supersaturation: an update and meta-analysis

description: <b>Introduction:</b> With the increasing number of poorly water-soluble compounds in drug discovery pipelines, supersaturating drug delivery systems (SDDS) have attracted increased attention as an effective bioavailability enhancing approach. However, a systematic and quantitative synopsis of the knowledge about performance of SDDS is currently lacking. Such analysis of the recent achievements is to provide insights for formulation scientists dealing with poorly soluble compounds. <b>Areas covered:</b> A systematic search of two evidence-based International databases, Medline and Embase, from 2010 to Dec 2015, has been performed. By conducting meta-analysis, box-plots, and correlation plots of the relevant data retrieved from literature, the current review addresses three quantitative questions: (1) how promising are SDDS for bioavailability enhancement? (2) which types of SDDS perform best? and (3) what are the most promising drug candidates? Four widely reported types of SDDS were compared: amorphous solid dispersions, nano-drug systems, supersaturable lipid-based formulations, and silica-based systems. <b>Expert opinion:</b> While SDDS formulations appear to be a promising candidate-enabling technique for drug development, the prediction of their <i>in vivo</i> performance by <i>in vitro</i> testing remains challenging. A transition from a trial-and-error development approach towards an approach guided by mechanistic insight, as well as the development of more efficient predictive tools for performance ranking is urgently needed.
DOI: 10.7910/dvn/0waeam/aoh8cj
title: standardized_personal_forest_games_all_FE.R

description: :unav
DOI: 10.6084/m9.figshare.3571071.v1
title: Oral bioavailability enhancement through supersaturation: an update and meta-analysis

description: <b>Introduction:</b> With the increasing number of poorly water-soluble compounds in drug discovery pipelines, supersaturating drug delivery systems (SDDS) have attracted increased attention as an effective bioavailability enhancing approach. However, a systematic and quantitative synopsis of the knowledge about performance of SDDS is currently lacking. Such analysis of the recent achievements is to provide insights for formulation scientists dealing with poorly soluble compounds. <b>Areas covered:</b> A systematic search of two evidence-based International databases, Medline and Embase, from 2010 to Dec 2015, has been performed. By conducting meta-analysis, box-plots, and correlation plots of the relevant data retrieved from literature, the current review addresses three quantitative questions: (1) how promising are SDDS for bioavailability enhancement? (2) which types of SDDS perform best? and (3) what are the most promising drug candidates? Four widely reported types of SDDS were compared: amorphous solid dispersions, nano-drug systems, supersaturable lipid-based formulations, and silica-based systems. <b>Expert opinion:</b> While SDDS formulations appear to be a promising candidate-enabling technique for drug development, the prediction of their <i>in vivo</i> performance by <i>in vitro</i> testing remains challenging. A transition from a trial-and-error development approach towards an approach guided by mechanistic insight, as well as the development of more efficient predictive tools for performance ranking is urgently needed.
DOI: 10.7910/dvn/0waeam/psnc99
title: gneezy_israel_TG_B_viol_exp_std.tab

description: :unav
DOI: 10.6084/m9.figshare.3571065
title: Supplementary Material for: Possible Inhibitory Effect of Erythropoiesis-Stimulating Agents at the Predialysis Stage on Early-Phase Coronary Events after Hemodialysis Initiation

description: <strong><em>Background:</em></strong> We examined whether the use of erythropoiesis-stimulating agents (ESAs) to correct anemia at the predialysis stage could inhibit early-phase coronary events after hemodialysis initiation. <b><i>Methods:</i></b> We enrolled 242 patients with chronic kidney disease who had received continued medical treatments and initiated maintenance hemodialysis from 1 September 2000 to 31 December 2014 at Toujinkai Hospital. Patients with a previous history of blood transfusion or any cardiovascular events or interventions were excluded. The coronary events were followed for 1 year after initiation of hemodialysis. <b><i>Results:</i></b> Coronary events occurred in 51 of 242 patients: 10 patients had acute coronary syndrome [9 with percutaneous coronary intervention (PCI), 1 without intervention], and 41 had elective coronary revascularization (38 PCI and 3 coronary artery bypass graft). ESA was administered in 118 of 242 patients (48.8%). In stepwise logistic analysis, coronary events were positively associated with nonuse of ESA at the predialysis stage (odds ratio 2.66, p = 0.005) and diabetes mellitus (odds ratio 5.33, p &lt; 0.001). When dividing the patients into 4 subgroups by blood hemoglobin (Hb) level (8.5 g/dl) and the use/nonuse of ESA, coronary event-free survival rates were higher (p = 0.005) in those with Hb ≥8.5 g/dl, ESA+ (86.6%, n = 82) and tended to be higher (p = 0.055) in those with Hb &lt;8.5 g/dl, ESA+ (86.1%, n = 36) than in patients with Hb &lt;8.5 g/dl, ESA- (68.6%, n = 86) in a Kaplan-Meier analysis. <b><i>Conclusions:</i></b> The use of ESA to correct anemia at the predialysis stage may inhibit early-phase coronary events after hemodialysis initiation
DOI: 10.7910/dvn/0waeam/nzqkkc
title: bauer_uganda_trustoutgroup_std_viol_exp_community_std.tab

description: :unav
DOI: 10.6084/m9.figshare.3571065.v1
title: Supplementary Material for: Possible Inhibitory Effect of Erythropoiesis-Stimulating Agents at the Predialysis Stage on Early-Phase Coronary Events after Hemodialysis Initiation

description: <strong><em>Background:</em></strong> We examined whether the use of erythropoiesis-stimulating agents (ESAs) to correct anemia at the predialysis stage could inhibit early-phase coronary events after hemodialysis initiation. <b><i>Methods:</i></b> We enrolled 242 patients with chronic kidney disease who had received continued medical treatments and initiated maintenance hemodialysis from 1 September 2000 to 31 December 2014 at Toujinkai Hospital. Patients with a previous history of blood transfusion or any cardiovascular events or interventions were excluded. The coronary events were followed for 1 year after initiation of hemodialysis. <b><i>Results:</i></b> Coronary events occurred in 51 of 242 patients: 10 patients had acute coronary syndrome [9 with percutaneous coronary intervention (PCI), 1 without intervention], and 41 had elective coronary revascularization (38 PCI and 3 coronary artery bypass graft). ESA was administered in 118 of 242 patients (48.8%). In stepwise logistic analysis, coronary events were positively associated with nonuse of ESA at the predialysis stage (odds ratio 2.66, p = 0.005) and diabetes mellitus (odds ratio 5.33, p &lt; 0.001). When dividing the patients into 4 subgroups by blood hemoglobin (Hb) level (8.5 g/dl) and the use/nonuse of ESA, coronary event-free survival rates were higher (p = 0.005) in those with Hb ≥8.5 g/dl, ESA+ (86.6%, n = 82) and tended to be higher (p = 0.055) in those with Hb &lt;8.5 g/dl, ESA+ (86.1%, n = 36) than in patients with Hb &lt;8.5 g/dl, ESA- (68.6%, n = 86) in a Kaplan-Meier analysis. <b><i>Conclusions:</i></b> The use of ESA to correct anemia at the predialysis stage may inhibit early-phase coronary events after hemodialysis initiation
DOI: 10.7910/dvn/0waeam/tyenjt
title: gneezy_israel_ultimaumB_viol_exp_community_std.tab

description: :unav