cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/yx6tmm
title: Four new species of Nyctonympha Thomson, 1868 (Coleoptera, Cerambycidae, Lamiinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Santos-Silva, Antonio, Botero, Juan Pablo (2017): Four new species of Nyctonympha Thomson, 1868 (Coleoptera, Cerambycidae, Lamiinae). European Journal of Taxonomy 332: 1-16, DOI: https://doi.org/10.5852/ejt.2017.332
DOI: 10.15139/s3/k1xwh7
title: Tracing Relationship Commitment, 1992-1998

description: This dataset comes from a longitudinal study of a random sample of 232 coupled partners (464 individuals) in heterosexual, dating, romantic relationships. All participants were never-married, dating someone of the opposite sex, and between the ages of 19 to 35. Due to the random sample, the ethnicity and SES of the participants was reflective of the population of Austin, Texas, USA which was where the sample was drawn. The average age was approximately 23. The sample was 69% White, 7.5% African-American, 16.4% Hispanic or Latino, and 5.8% Asian or Pacific Islander. See attached demographic fact sheet for more information. We collected data once per month for nine months as well as a brief 5-year follow-up. During one of the phases, we also conducted a daily diary over 9 days. Data were collected with face-to-face interviews with each partner separately. Phase 1 was a 2-3 hour interview. Phase 2 consisted of interviews lasting 15-30 minutes once per month for seven months. Phase 3 was a 2-3 hour interview that replicated Phase 1. Phase 4 was 5-year follow-up on breakup, marriage, and cohabitation. The project also includes a full version of a commitment graphing procedure described in the referenced Ogolsky, Surra, and Monk, 2016 citation. The study was approved by the University of Illinois IRB #17875
DOI: 10.15468/7py3ma
title: Associations and a new species of the genus Apatidelia (Trichoptera, Apataniidae) from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Xie, Yue, Wang, Beixin, Sun, Changhai (2017): Associations and a new species of the genus Apatidelia (Trichoptera, Apataniidae) from China. European Journal of Taxonomy 333: 1-20, DOI: https://doi.org/10.5852/ejt.2017.333
DOI: 10.15468/fxzahs
title: Three new species of Kynotus from the Central Highlands of Madagascar (Clitellata, Megadrili)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Csuzdi, Csaba, Razafindrakoto, Malalatiana, Hong, Yong (2017): Three new species of Kynotus from the Central Highlands of Madagascar (Clitellata, Megadrili). European Journal of Taxonomy 336: 1-14, DOI: https://doi.org/10.5852/ejt.2017.336
DOI: 10.15468/wqy6ff
title: Taxonomic revision of the Neotropical genus Ectophasiopsis Townsend, 1915 (Diptera: Tachinidae: Phasiinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Dios, Rodrigo de V. P., Nihei, Silvio S. (2017): Taxonomic revision of the Neotropical genus Ectophasiopsis Townsend, 1915 (Diptera: Tachinidae: Phasiinae). European Journal of Taxonomy 334: 1-27, DOI: https://doi.org/10.5852/ejt.2017.334
DOI: 10.15784/601322
title: ApRES Firn Density Study

description: We tested the ability of phase sensitive radar (ApRES) to detect firn density profile towards developing a simpler, non destructive, faster method than firn coring.
DOI: 10.5281/zenodo.3748015
title: Evidence for individual differences in behaviour and for behavioural syndromes in adult shelter cats: Dataset and supplementary materials

description: Table S1: Details of the subjects and test assignment. Document S2: Description of the housing of the mice during the experiments. Table S3: Results of the LMMs and GLMMs to evaluate the impact of age, sex and trial number on behaviour. Table S4: Full results of the PCAs performed on the confinement / separation, mouse and passive human approach tests. Table S5: Correlations between behavioural variable scores showing stable individual differences. Syndrome_Data: Dataset
DOI: 10.5281/zenodo.3748016
title: Evidence for individual differences in behaviour and for behavioural syndromes in adult shelter cats: Dataset and supplementary materials

description: Table S1: Details of the subjects and test assignment. Document S2: Description of the housing of the mice during the experiments. Table S3: Results of the LMMs and GLMMs to evaluate the impact of age, sex and trial number on behaviour. Table S4: Full results of the PCAs performed on the confinement / separation, mouse and passive human approach tests. Table S5: Correlations between behavioural variable scores showing stable individual differences. Syndrome_Data: Dataset
DOI: 10.5281/zenodo.3828968
title: NOx Emission Changes over China during the COVID-19 Epidemic Inferred from Surface NO2 Observations

description: <strong>obs_assimilation.csv </strong>and<strong> obs_verification.csv </strong>include assimilated and verified observations from 7 January ~ 29 February 2020, respectively. <strong>emission.tar.gz</strong> includes inferred daily posterior NO<sub>x</sub> emissions from 10 January ~ 29 February 2020.
DOI: 10.5525/gla.researchdata.1009
title: Impacts of host gender on Schistosoma mansoni risk in rural Uganda—A mixed methods approach

description: Time to reinfection and microsatellite data for epidemiological and genetic analyses
DOI: 10.17632/b7zkyyf959.3
title: RAWData - Testing the short-term effects of an invader fish in the feeding habits of a closely-related species

description: File with raw data from mesocosm and laboratory experiments. Attack and consumption rates of guppies (invasive) and Phalloceros harpagos (native) were analyzed. We expected that guppies will present higher attack and consumption rates than P. harpagos. However, both species presented the same attack rates and P. harpagos presented higher consumption rates. Also, the resource use of both species was analyzed in mesocosm experiments with a population and an individual approach. In the population analysis, we were expecting to see high amounts of resources in guppies gut content. However, both species presented the same quantities of resources in their guts. In the individual analysis, we were expecting a higher intraspecific variability for guppies in the post-invasion scenario compared to P. harpagos, which were expected to present low intraspecific variability. However, both species reacted in the same way, reducing their intraspecific variability.
DOI: 10.5066/p9nbahff
title: Consumption rates and total mercury concentration of food items and consumers collected at six sites on the Colorado River in the Grand Canyon, USA, 2007-2009

description: Consumption rates and total mercury concentration of food items and consumers collected at six sites on the Colorado River in the Grand Canyon. Sites ranged from 0-367 river kilometers downstream of Lees Ferry (AZ, USA). Samples were analyzed for total Hg using cold vapor atomic fluorescence (CVAF, Tekran Model 2600 CVAF spectrometer) following EPA Method 7474. Consumption rate samples were collected quarterly from July 1, 2007 to June 30, 2009. Food items and consumers were collected June 12-28 2008.
DOI: 10.17632/b7zkyyf959.1
title: Consumption and Attack rates - Aquarium Experiment

description: File with raw data from mesocosm and laboratory experiments. Attack and consumption rates of guppies (invasive) and Phalloceros harpagos (native) were analyzed. We expected that guppies will present higher attack and consumption rates than P. harpagos. However, both species presented the same attack rates and P. harpagos presented higher consumption rates. Also, the resource use of both species was analyzed in mesocosm experiments with a population and an individual approach. In the population analysis, we were expecting to see high amounts of resources in guppies gut content. However, both species presented the same quantities of resources in their guts. In the individual analysis, we were expecting a higher intraspecific variability for guppies in the post-invasion scenario compared to P. harpagos, which were expected to present low intraspecific variability. However, both species reacted in the same way, reducing their intraspecific variability.
DOI: 10.17632/b7zkyyf959.2
title: Native and Non-Native Resource Use Experiments

description: File with raw data from mesocosm and laboratory experiments. Attack and consumption rates of guppies (invasive) and Phalloceros harpagos (native) were analyzed. We expected that guppies will present higher attack and consumption rates than P. harpagos. However, both species presented the same attack rates and P. harpagos presented higher consumption rates. Also, the resource use of both species was analyzed in mesocosm experiments with a population and an individual approach. In the population analysis, we were expecting to see high amounts of resources in guppies gut content. However, both species presented the same quantities of resources in their guts. In the individual analysis, we were expecting a higher intraspecific variability for guppies in the post-invasion scenario compared to P. harpagos, which were expected to present low intraspecific variability. However, both species reacted in the same way, reducing their intraspecific variability.
DOI: 10.17632/bp9wwwdwgz.1
title: Raw data - Handedness Side and Magnetization Transfer Ratio in the Primary Sensorimotor Cortex Central Sulcus

description: Research data
DOI: 10.17632/yvcvd35s2h.1
title: Supplemental Materials for Stein Gold et al. A Phase IIb, Randomized Clinical Trial of Tapinarof Cream for the Treatment of Plaque Psoriasis: Secondary Efficacy and Patient-Reported Outcomes. J Am Acad Dermatol. 2020.

description: Mendeley Supplemental Tables and Figures for Stein Gold et al. A Phase IIb, Randomized Clinical Trial of Tapinarof Cream for the Treatment of Plaque Psoriasis: Secondary Efficacy and Patient-Reported Outcomes. J Am Acad Dermatol. 2020.
DOI: 10.17632/4zwx862525.1
title: Original data of the article entitled “YB-1 recruits Drosha to promote splicing of pri-miR-192 to mediate the proangiogenic effects of H2S.” Zhou Y et al

description: miR-192 has a central role for the cells to sense the proangiogenic signals of H2S. The study reveals a new mechanism to regulate microRNA biosynthesis at the primary-to-precursor step in sensing H2S. In addition to H2S donors, the study provides some new potential targets deserves to be explored for anti-ischemia therapies, e.g., approaches based on regulating CSE and miR-192 The file named Zhou Y et al miRNAarray data 20200514 includes the microarray profiling of microRNAs showed a preliminary pattern of changes in the vascular endothelial cells treated with H2S. The file named Zhou Y et al Western Blot data 20200514 includes unedited images for all blots shown in the manuscript.
DOI: 10.17632/v4ycffhr87.1
title: Supplementary files for "comparative transcriptome of liver in Eriocheir sinensis feeding on trashed fish and formulated feeds

description: Differentially expressed genes and primer sequences used in qPCR validation
DOI: 10.7910/dvn/odbhng/8iwtrb
title: M0.tab

description: :unav
DOI: 10.7910/dvn/odbhng/amjaup
title: M3.tab

description: :unav
DOI: 10.7910/dvn/odbhng/dtm79z
title: M4.tab

description: :unav
DOI: 10.7910/dvn/odbhng/dwyfbt
title: M1.tab

description: :unav
DOI: 10.7910/dvn/odbhng/m7fqfu
title: M2.tab

description: :unav
DOI: 10.7910/dvn/odbhng/ovdeny
title: M5.tab

description: :unav
DOI: 10.3886/e113169v1-24385
title: Replication data for: Vulnerable Growth

description: We study the conditional distribution of GDP growth as a function of economic and financial conditions. Deteriorating financial conditions are associated with an increase in the conditional volatility and a decline in the conditional mean of GDP growth, leading the lower quantiles of GDP growth to vary with financial conditions and the upper quantiles to be stable over time. Upside risks to GDP growth are low in most periods while downside risks increase as financial conditions become tighter. We argue that amplification mechanisms in the financial sector generate the observed growth vulnerability dynamics.
DOI: 10.17632/kvyr8c43dr.1
title: Data for: New skin care application of PLGA NP possessing accelerated production of type 17 collagen

description: Conference presentation data
DOI: 10.18112/openneuro.ds002797.v1.0.1
title: CCD
DOI: 10.21227/h4ah-rb39
title: Trained CNN model for segmenting Non-contrast Computed Tomography (NCCT) stroke lesion datasets

description: Non-contrast computed tomography (NCCT) is commonly used for volumetric follow-up assessment of ischemic strokes. However, manual lesion segmentation is time-consuming and subject to high inter-observer variability. The aim of this study was to develop and establish a baseline convolutional neural network (CNN) model for automatic NCCT lesion segmentation. A total of 252 multi center clinical NCCT datasets, acquired from 22 centers, and corresponding manual segmentations were used to train (204 datasets) and validate (48 datasets) a 3D multi scale CNN model for lesion segmentation. Post processing methods were implemented to improve the CNN-based lesion segmentations. The final CNN model and post processing method was evaluated using 39 out of distribution holdout test datasets, acquired at seven centers that did not contribute to the training or validation datasets. Each test image was segmented by two or three neuroradiologists. The Dice similarity coefficient (DSC) and predicted lesion volumes were used to evaluate the segmentations. The CNN model achieved a mean DSC score of 0.47 on the validation NCCT datasets. Post-processing significantly improved the DSC to 0.50 (P&lt;0.01). On the holdout test set, the CNN model achieved a mean DSC score of 0.42, which was also significantly improved to 0.45 (P&lt;0.05) by post processing. Importantly, the automatically segmented lesion volumes were not significantly different from the lesion volumes determined by the expert observers (P&gt;0.05) and showed excellent agreement with manual lesion segmentation volumes (intraclass correlation coefficient, ICC = 0.88). The proposed CNN model can automatically and reliably segment ischemic stroke lesions in clinical NCCT datasets. Post processing techniques can further improve accuracy. As the model was trained and evaluated on datasets from multiple centers, it is broadly applicable and is publicly available.
DOI: 10.5281/zenodo.3828922
title: Annotated Facial Landmarks for attention and inattention

description: This data consists of 34 facial landmark features of 18 children with autism spectrum disorder and 26 typically developing children between ages 7 and 11 years old during attention tasks experiment, The attention task consists of 4 levels where random letters are displayed on the board presented in a virtual classroom: level 1(none: without distractions). Other observation samples were generated from level 2-4 (easy, medium, and hard: with distractions). iMotions software detects to generate the facial landmarks from five regions of the face: eyes, eyebrows, nose, lips, and jaw. Two class labels— Attention and Inattention were generated based on task performance and some attention behavioral rules, such as looking at the target letters. The video stream data generated during the attention task is divided into separate time slots for each random letter displayed. Each letter appears for the duration of 1400ms. Then each slot was labeled as attention and inattention for correct (X-click) and incorrect click (Missed X), respectively. The total observation samples were extracted from 95 videos of all the participants. Each length of the video was 300 seconds long and iMotions software reads the video stream at 16 frame rate per second. The frames were annotated for attention and inattention when the participants responded to the target letter and iMotions generated 16 data samples in1 second.
DOI: 10.5281/zenodo.3828923
title: Annotated Facial Landmarks for attention and inattention

description: This data consists of 34 facial landmark features of 18 children with autism spectrum disorder and 26 typically developing children between ages 7 and 11 years old during attention tasks experiment, The attention task consists of 4 levels where random letters are displayed on the board presented in a virtual classroom: level 1(none: without distractions). Other observation samples were generated from level 2-4 (easy, medium, and hard: with distractions). iMotions software detects to generate the facial landmarks from five regions of the face: eyes, eyebrows, nose, lips, and jaw. Two class labels— Attention and Inattention were generated based on task performance and some attention behavioral rules, such as looking at the target letters. The video stream data generated during the attention task is divided into separate time slots for each random letter displayed. Each letter appears for the duration of 1400ms. Then each slot was labeled as attention and inattention for correct (X-click) and incorrect click (Missed X), respectively. The total observation samples were extracted from 95 videos of all the participants. Each length of the video was 300 seconds long and iMotions software reads the video stream at 16 frame rate per second. The frames were annotated for attention and inattention when the participants responded to the target letter and iMotions generated 16 data samples in1 second.
DOI: 10.18112/openneuro.ds002761.v1.0.1
title: memoryreplay
DOI: 10.21227/4gqq-er08
title: Automatic Segmentation of Stroke Lesions in Non-contrast Computed Tomography Datasets with Convolutional Neural Networks

description: Non-contrast computed tomography (NCCT) is commonly used for volumetric follow-up assessment of ischemic strokes. However, manual lesion segmentation is time-consuming and subject to high inter-observer variability. The aim of this study was to develop and establish a baseline convolutional neural network (CNN) model for automatic NCCT lesion segmentation. A total of 252 multi center clinical NCCT datasets, acquired from 22 centers, and corresponding manual segmentations were used to train (204 datasets) and validate (48 datasets) a 3D multi scale CNN model for lesion segmentation. Post processing methods were implemented to improve the CNN-based lesion segmentations. The final CNN model and post processing method was evaluated using 39 out of distribution holdout test datasets, acquired at seven centers that did not contribute to the training or validation datasets. Each test image was segmented by two or three neuroradiologists. The Dice similarity coefficient (DSC) and predicted lesion volumes were used to evaluate the segmentations. The CNN model achieved a mean DSC score of 0.47 on the validation NCCT datasets. Post-processing significantly improved the DSC to 0.50 (P&lt;0.01). On the holdout test set, the CNN model achieved a mean DSC score of 0.42, which was also significantly improved to 0.45 (P&lt;0.05) by post processing. Importantly, the automatically segmented lesion volumes were not significantly different from the lesion volumes determined by the expert observers (P&gt;0.05) and showed excellent agreement with manual lesion segmentation volumes (intraclass correlation coefficient, ICC = 0.88). The proposed CNN model can automatically and reliably segment ischemic stroke lesions in clinical NCCT datasets. Post processing techniques can further improve accuracy. As the model was trained and evaluated on datasets from multiple centers, it is broadly applicable and is publicly available.
DOI: 10.5281/zenodo.3828468
title: Audiovisual crowd counting dataset

description: This dataset contains 1,935 annotated images, each image has one-second audio and a density map. For more details, please refer to our paper Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions and code.
DOI: 10.5281/zenodo.3828467
title: Audiovisual crowd counting dataset

description: This dataset contains 1,935 annotated images, each image has one-second audio and a density map. For more details, please refer to our paper Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions and code.
DOI: 10.5281/zenodo.3828953
title: Dataset Versatile Layout Understanding via Conjugate Graph (ICDAR 2019)

description: Contains the datasets with tables used in the following paper: Versatile Layout Understanding via Conjugate Graph. Animesh Prasad, Hervé Déjean and Jean-Luc Meunier, International Conference on Document Analysis and Recognition (ICDAR), Sydney, Australia, 20–25 September 2019.
DOI: 10.5281/zenodo.3828954
title: Dataset Versatile Layout Understanding via Conjugate Graph (ICDAR 2019)

description: Contains the datasets with tables used in the following paper: Versatile Layout Understanding via Conjugate Graph. Animesh Prasad, Hervé Déjean and Jean-Luc Meunier, International Conference on Document Analysis and Recognition (ICDAR), Sydney, Australia, 20–25 September 2019.
DOI: 10.3886/e117522
title: Replication data for "Competing with Robots: Firm-Level Evidence from France"

description: These files contain the programs for the article "Competing with Robots: Firm-Level Evidence from France", AEA Papers and Proceedings.
DOI: 10.3886/e117522v1
title: Replication data for "Competing with Robots: Firm-Level Evidence from France"

description: These files contain the programs for the article "Competing with Robots: Firm-Level Evidence from France", AEA Papers and Proceedings.
DOI: 10.5281/zenodo.3829497
title: Connecting digital citizen science data quality issue to solution mechanism table

description: A table explaining how to solve data quality issues in digital citizen science. A total of 35 issues and 64 mechanisms to solve them are proposed
DOI: 10.5281/zenodo.3829498
title: Connecting digital citizen science data quality issue to solution mechanism table

description: A table explaining how to solve data quality issues in digital citizen science. A total of 35 issues and 64 mechanisms to solve them are proposed
DOI: 10.3886/e117801v1
title: Data and Code for: Administration above Administrators: The Changing Technology of Healthcare Management

description: This paper measure the costs and types of administrative inputs in health care. We use data on labor and non-labor inputs by industry and categorize them as administrative or not. We find that non-labor inputs are a critical part of administrative spending, over and above labor inputs. Trends in non-labor administrative input spending have differed dramatically from that of labor input spending for hospitals over the last 20 years. Hospitals have substituted away from office workers, and towards externally purchased inputs. The share of managers and technical workers in administration has grown. The technology of healthcare administration is changing.
DOI: 10.5281/zenodo.3829501
title: Supplementary data for article 'Estimating and abstracting the 3D structure of feline bones using neural networks on X-ray (2D) images'

description: 3D DICOM volumes (CT scans) of feline femora, PNGs generated from them as DRRs using MeVisLab, and STLs generated from the DICOM volumes with MIMICS or MeshLab. Software to work with these files can be found at http://doi.org/10.5281/zenodo.3829423
DOI: 10.3886/e117801
title: Data and Code for: Administration above Administrators: The Changing Technology of Healthcare Management

description: This paper measure the costs and types of administrative inputs in health care. We use data on labor and non-labor inputs by industry and categorize them as administrative or not. We find that non-labor inputs are a critical part of administrative spending, over and above labor inputs. Trends in non-labor administrative input spending have differed dramatically from that of labor input spending for hospitals over the last 20 years. Hospitals have substituted away from office workers, and towards externally purchased inputs. The share of managers and technical workers in administration has grown. The technology of healthcare administration is changing.