cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wxsxx3yt3y.10
title: On the prevalence of Forest Fires in Spain

description: Data and code used in the paper: Forest Fires in Spain updated 2022/2/9
DOI: 10.17632/f964whtpxh.1
title: SIPA1L1/SPAR1 Interacts with the Neurabin Family of Proteins and is Involved in GPCR Signaling. Matsuura et al. Raw data for super-resolution colocalization analyses. 

description: Super-resolution microscopic images stained for SIPA1L1 and its candidate interacting-proteins in the neuropil region of layer V cerebral cortex or hippocampal CA1 area were acquired using Olympus SD-OSR, a confocal-based spinning disk super-resolution microscope, which implements structured illumination microscopy (SIM). Four serial Z-stack images (200-nm step size) of 1024 x 1024 pixels (41 x 41 um2)/image were used for colocalization analyses. w1 files are for SIPA1L1 and w2 files for others in all folders with the exception of drebrin and actinin where SIPA1L1 is w2.
DOI: 10.17632/s5dsd97yjn.2
title: dataset-for-meunscripts-ver0130

description: This is a corpus of Chinese Korean words

Korean corpus data source: 
2010-2020,

NAVER: 
https://news.naver.com/main/main.naver?mode=LSD&mid=shm&sid1=103
DOI: 10.17632/rknhrg89gs.2
title: GHG emissions, FDI, Economic growth, Renewable Energy and Regulatory Quality - 1996-2015 - 10 Asia Pacific Countries

description: Climate Change (GHG Emissions), FDI inflows, Renewable Energy, and Regulatory Quality - 1996-2015 - 10 Asia Pacific Countries
DOI: 10.17632/xxxkkht6tf.1
title: LINF_220017500

description: protein kinase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/55ry8zrs5y.2
title: Management of Pediatric Atopic Dermatitis with Systemic Biologics: An Evidence-Based Review

description: Atopic dermatitis (AD) is a common chronic inflammatory skin disease characterized by typical eczematous morphology and intense pruritus with onset before 5 years of age in up to 90% of cases. The physical and psychosocial burden can have a significant negative impact on quality of life. This systematic review examines the available evidence for systemic biologics in pediatric patients with AD.
DOI: 10.17632/fbsskjcn5h.1
title: LINF_220017400

description: adaptor complex AP-1 medium subunit | Mu-adaptin 1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/wb66nkh67c.1
title: LINF_220017200

description: Beta-lactamase superfamily domain containing protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/pyxttthzp5.1
title: LINF_220016800

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/y745kzhwnm.1
title: LINF_220016700

description: Basalin
Leishmania infantum (strain JPCM5)
DOI: 10.17632/32dr3pbzct.1
title: LINF_220016600

description: small nuclear ribonucleoprotein | SmD1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/y9j9t3t82v.1
title: LINF_220016400

description: mt-SAF9
Leishmania infantum (strain JPCM5)
DOI: 10.17632/hdkv8vs5vb.1
title: climatic data of Pietermaritzburg

description: Climatic data for Pietermaritzburg, from 1991 to 2017
DOI: 10.17632/5ss54b9bwh.1
title: Quantifying voyage optimisation with wind propulsion for short-term CO2 mitigation in shipping.

description: Data availability description

This study quantifies the interaction between wind propulsion and voyage optimisation to reduce carbon emissions in the global shipping sector. The repository contains the following folders: “Model code”, “Panamax ship performance files” and “Results and figure data”.

First, the model uses the “create_batch_input_files.py” to split the simulations by month, route, ship type (wind-assist/reference) and simulation type (GCR/optimised), defines the constants for each batch of simulations and saves to a text file. Main.py then runs the sequential steps of the model as follows:

1.	Load input variables from the batch text files (uses “my_constants.py”)
2.	Loop across the month in the specified time steps
3.	Load the u and v components of wind from the ECMWF ERA-Interim dataset and filter using GSHHS data (uses “wind_data_file_name.py”, “load_wind_data.py” and “filter_grid.py”)
4.	Create the GCR grid and the three-dimensional spatial grid (if using) and calculate the wind speed and wind angle at each grid point (add the weather) (uses “gcr_calc.py”, “dp_grid_three_d.py”, “add_wind_data.py” and “wind_class.py”)
5.	Calculate the fuel consumption of the reference ship with no sails at 12 knots and the fuel consumption of the wind-assisted ship on the out and return legs of EITHER
a.	the GCR or
b.	the optimised voyage
for the input route and all arrival times. Also tracks the currents using NOAA current data (uses “route_calcs.py”, “dp_algorithm_three_d.py”, “ship_model_integration.py”, “land_avoidance.py”, “functions.py” and “load_current_data.py”)
6.	Calculate the fuel savings of the wind-assisted ship relative to the reference ship at 12 knots on either the GCR or the optimised voyage
7.	Save the data

The Panamax ship performance files folder stores the data for the Panamax ship performance. Data is stored for ship speeds from 8 to 13 knots in intervals of 1 knot. Data is stored for both the wind-assisted ship with four Flettner rotors installed, and a reference ship with no Flettner rotors installed. A flag file is also included for each, which describes the speed state of the ship (whether the sails are providing full power and need to depower, or whether the ship can’t physically maintain the speed).

The Results and figure data files contains the source data for the results, in Excel format.
DOI: 10.17632/c44477pxc7.2
title: Original data for the manuscript entitled "Nanophase iron particles derived from olivine decomposition in Chang’e-5 lunar soil: Implications for thermal effects during impacts"

description: Original TEM and EELS data used in the manuscript entitled "Nanophase iron particles derived from olivine decomposition in Chang’e-5 lunar soil: Implications for thermal effects during impacts".
DOI: 10.17632/k2mmk7j6np.1
title: Ashkenazi et al., 2022

description: Supplementary data to Ashkenazi et al., 2022.
DOI: 10.17632/nypdhk7xs5.1
title: Andalusian multidecadal beach erosion dynamics

description: This is the raw dataset that has been used in the paper entitled "A machine-learning hybrid-classification method for stratification of multidecadal beach dynamics"
DOI: 10.17632/j5zybgxk9t.1
title: (Final supplement) Expanding literature regarding cutaneous manifestations of COVID-19: A bibliometric analysis

description: Supplementary Table 1
DOI: 10.17632/r84m23jrzj.1
title: Ferreira et al., 2021 - Data table

description: This is the original data set (before outliers removal) used in the data analyses from the manuscript: "LPS regulates pro and anti-inflammatory cytokines, corticosterone, and melatonin in toads " published in Integrative Organismal Biology. https://doi.org/10.1093/iob/obab025
DOI: 10.17632/pfbdxsfvgt.1
title: Open-source syringe extrusion head for shear-thinning materials 3D printing

description: This dataset is linked to the Rapid Prototyping Journal article (https://doi.org/10.1108/RPJ-09-2021-0245). 

Abstract
Purpose: This article reports the development of an open-source syringe extrusion head for shear-thinning materials, aiming to adapt open-source 3D printers to be helpful in research lines that use gels, hydrogels, pastes, inks, and bio-inks.
Design/methodology/approach: This hardware was designed to be compatible with a Graber i3-based 3D printer; nevertheless, it can be easily adapted to other open-source 3D printers.
Findings: The extrusion head successfully deposits the material during the 3D printing process. It was validated fabricating geometries that include scaffold structures, which are a possible application of bioprinting for tissue engineering. As reported, the extruded filaments allowed the porous samples' structuration.
Practical implications: This system expands the applications of open-source 3D printers used at the laboratory scale. It enables low-cost access to research areas such as tissue engineering and biofabrication, energy storage devices, and food 3D printing.
Originality: The open-source hardware here reported is of simple fabrication, assembly, and installation. It uses a Cardan coupling and a three guides system to transfer the stepper motor motion. This approach allows continuous movement transfer to the syringe piston, producing an adequate deposition or retraction. Thus, the effect of misalignments is avoided, considering that these latter can cause skipping steps in the motor, directly affecting the deposition.
DOI: 10.17632/7xsvwsxbtd.1
title: DATABASECOVID2021

description: DATABASE - This was a longitudinal retrospective cohort study of patients ≥20 years-old who were hospitalised due to COVID-19 in 52 hospitals comprising a private Brazilian healthcare network (Rede D’Or São Luiz). Participating institutions were tertiary hospitals distributed across four (Northeast, Central-West, Southeast, and South) of Brazil’s five macro-regions. Data were extracted from the institutional central database comprised of COVID-19 diagnoses and related deaths (both of which are of compulsory notification to the BMH). Participating hospitals utilized a standardized data collection model including weekly reporting to the BMH. The study period included the first 13 months of the pandemic, i.e., from March 1st, 2020 to March 31st, 2021. All patients hospitalised due to COVID-19 (as the primary diagnosis upon admission) who were either discharged or died were included
DOI: 10.17632/7z2tzmrxvs.2
title: COVREDE2021

description: This was a longitudinal retrospective cohort study of patients ≥20 years-old who were hospitalised due to COVID-19 in 52 hospitals comprising a private Brazilian healthcare network (Rede D’Or São Luiz). Participating institutions were tertiary hospitals distributed across four (Northeast, Central-West, Southeast, and South) of Brazil’s five macro-regions. Data were extracted from the institutional central database comprised of COVID-19 diagnoses and related deaths (both of which are of compulsory notification to the BMH). Participating hospitals utilized a standardized data collection model including weekly reporting to the BMH. The study period included the first 13 months of the pandemic, i.e., from March 1st, 2020 to March 31st, 2021. All patients hospitalised due to COVID-19 (as the primary diagnosis upon admission) who were either discharged or died were included
DOI: 10.17632/7ft539gwf3.3
title: periwaletal drug-food similarity ML data

description: Main input files for analysis for periwaletal (2021)
DOI: 10.17632/vknp983sbf.1
title: Data to accompany Cancer stem cell marker phenotypization and methylation status detection in Slovak colorectal cancer patients

description: Data accompanying 'Cancer stem cell marker phenotypization and methylation status detection in Slovak colorectal cancer patients' by Mersakova et al.
DOI: 10.17632/98ybrw5zjw.1
title: Supplementary Tables S1 and S2 - JDS20782 - Milk fatty acid composition

description: Supplementary Table S1. Milk fatty acid profile of lactating dairy cows fed different basal diets (BD; where GS = grass silage-based diet, GSCS = grass silage- and corn silage-mixed diet, CS = corn silage-based diet) supplemented with 0 or 60 mg 3-nitrooxypropanol/kg DM (NOP). 

Supplementary Table S2. Milk fatty acid profile of lactating dairy cows fed different basal diets (BD; where GS = grass silage-based diet, GSCS = grass silage- and corn silage-mixed diet, CS = corn silage-based diet) supplemented with 0 or 80 mg 3-nitrooxypropanol/kg DM (NOP).
DOI: 10.17632/hzcfxmg7n8.1
title: Replication files for "The Price of Property Rights: Institutions, Finance, and Growth"

description: The folder contains the data and Python scripts to reproduce the results in the paper "The Price of Property Rights: Institutions, Finance, and Growth." Contact Ron Alquist or Ram Yamarthy if you have questions.
DOI: 10.17632/tjr2g23t6s.1
title: Microarray Data for Rice

description: NCBI Gene Expression Omnibus GEO (https://www.ncbi.nlm.nih.gov/geo/)
Repository name: NCBI BioProject PRJNA681396
Data identification number:  
GEO accession GSE162302
www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162302
GSM4948814 Prasanna_Seedlings-Shoot_0_1 [NMA1] 
GSM4948815 Prasanna_Seedlings-Shoot_0_2 [NMA2]
GSM4948816 Prasanna_Seedlings-Shoot_100_1 [NMA3]
GSM4948817 Prasanna_Seedlings-Shoot_100_2 [NMA4]
GSM4948818 Varadhan_Seedlings-Shoot_0_1 [NMA5]
GSM4948819 Varadhan_Seedlings-Shoot_0_2 [NMA6]
GSM4948820 Varadhan_Seedlings-Shoot_100_1 [NMA7]
GSM4948821 Varadhan_Seedlings-Shoot_100_2 [NMA8]
GEO accession GSE162412
www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162412
GSM4951206	Prasanna_Seedlings-Root_0 [NMA9]
GSM4951207	Prasanna_Seedlings-Root_100_1[NMA11]
GSM4951208	Prasanna_Seedlings-Root_100_2 [NMA12] 
GSM4951209	Varadhan_Seedlings-Root_0 [NMA14]
GSM4951210	Varadhan_Seedlings-Root_100_1[NMA15]
GSM4951211	Varadhan_Seedlings-Root_100_2 [NMA16]
DOI: 10.17632/8nzpnwkncp.1
title: Net Bloch, Leaf Scald and Healthy Malting Barley Leaves

description: Net Bloch infected, Leaf Scald infected and Healthy Malting Barley Leaves dataset it collection of 3012 Malting Barley leaves that are healthy, net blotch infected and leaf scald infected leaves. The dataset is collected starting from August 2021 to December 2021. It is collected from Debre Berhan University Malting Barley farm. The two classes of diseases that are gathered in this dataset are the most fatal malting barley diseases causing a drastic loss in both quality and yield of the crop. The dataset is gathered by using smart phone camera and digital camera as per the conditional requirement while collection. To minimize the time to segment unwanted features out of the image, white paper is used as a background while taking the pictures. 
Using this dataset CNN based Malting Barley Disease detection is studies with an aim of increasing the performances of CNN models for detecting potential Malting Barley diseases. CNN pretrained models for mobile platforms such as EfficientNetB0, MobileNetV2 and NASNetMobile have been experimented to have an outperforming CNN model . Based on the experiment work EfficientNetB0 has scored a 96% accuracy which is 2 percent increase than the state-of-the -art CNN pretrained model for mobile platforms. 
In the research work the dataset is portioned in to two classes namely: training and testing dataset. the ratio of partitioning is 90% to 10% respectively. Then K-fold cross validation is used for building sampling independent robust model. Data augmentation technique is used to increase the number of training image dataset. After augmentation, the training image dataset transformed from 2,711 to 13,555. The augmentation technique comprises different arguments such as rotation range, zoom range and width shift. 
In order to use this dataset you should first understand the problem that you are longing to solve. If it is related with plant disease detection especially Malting Barley, congrats you have a very reliable dataset for your model input. The data can be used after some preprocessing activities based on the researcher's interest.
Thank you very much.
DOI: 10.17632/vrph2844sy.1
title: DeepViFi:  Detecting Novel Viral Integration in NGS Data

description: Training and test dataset for evaluating DeepViFi
DOI: 10.13012/b2idb-9980397_v1
title: Data for "Methods for assessing artificial thermal refuges: spatiotemporal analysis more informative than averages"

description: This dataset contains temperature measurements in four different bat box designs deployed in central Indiana, USA from May to September 2018. Hourly environmental data (temperature, solar radiation, and wind speed) are also included for days and hours sampled. Bat box temperature data were used as inputs in a free program, GNU Octave, to assess design performance with respect to suitability indices for endothermic metabolism and pup development. Scripts are included in the dataset.
DOI: 10.6084/m9.figshare.19146092
title: Visual field map response time series

description: Responses time series of voxels in each visual field map region of interest.
DOI: 10.6084/m9.figshare.19146092.v1
title: Visual field map response time series

description: Responses time series of voxels in each visual field map region of interest.
DOI: 10.6084/m9.figshare.17433266
title: NovelEnglishGenderSample

description: Collection of 74 canonical novels in English evenly split between men and women writers.
DOI: 10.6084/m9.figshare.17433266.v2
title: NovelEnglishGenderSample

description: Collection of 74 canonical novels in English evenly split between men and women writers.
DOI: 10.6084/m9.figshare.17433266.v1
title: NovelEnglishGenderSample

description: Collection of 74 canonical novels in English evenly split between men and women writers.
DOI: 10.6084/m9.figshare.17075708
title: DISEASES v2 (gold standard)

description: This file contains pairs of human genes and diseases used as positive examples for benchmarking in the DISEASES v2 database. Negative examples are constructed by making all other pairings of genes and diseases within this file.
DOI: 10.25625/ngg0q7/tg4mgl
title: 2022-2-NGG0Q7_Pilger_Andean-Metamorphic-Radiometric-Dates.tab

description: :unav
DOI: 10.25625/ngg0q7/hld3ap
title: 2022-2-NGG0Q7_Pilger_Andean-Igneous-Radiometric-Dates.tab

description: :unav
DOI: 10.25625/ngg0q7/b7myuo
title: 2022-2-NGG0Q7_Pilger_Andean-Sedimentary-Radiometric-Dates.tab

description: :unav
DOI: 10.6084/m9.figshare.19146044
title: DISEASES v2 (dictionary)

description: This file contains the human gene and disease names used for text mining in the DISEASES database v2.
DOI: 10.6084/m9.figshare.19146068
title: DISEASES v2 (human, knowledge, full)

description: This file contains the full set of gene–disease associations from curated knowledge sources in DISEASES v2.
DOI: 10.6084/m9.figshare.19146068.v1
title: DISEASES v2 (human, knowledge, full)

description: This file contains the full set of gene–disease associations from curated knowledge sources in DISEASES v2.
DOI: 10.6084/m9.figshare.19146077
title: DISEASES v2 (human, knowledge, filtered)

description: This file contains the filtered non-redundant set of gene–disease associations from curated knowledge sources in DISEASES v2.
DOI: 10.6084/m9.figshare.19146089
title: DISEASES v2 (human, experiments, full)

description: This file contains the full set of gene–disease associations from the TIGA database of GWAS associations in DISEASES v2.
DOI: 10.6084/m9.figshare.19146089.v1
title: DISEASES v2 (human, experiments, full)

description: This file contains the full set of gene–disease associations from the TIGA database of GWAS associations in DISEASES v2.
DOI: 10.6084/m9.figshare.19146101
title: DISEASES v2 (human, experiments, filtered)

description: This file contains the filtered non-redundant set of gene–disease associations from the TIGA database of GWAS associations in DISEASES v2.
DOI: 10.6084/m9.figshare.19146101.v1
title: DISEASES v2 (human, experiments, filtered)

description: This file contains the filtered non-redundant set of gene–disease associations from the TIGA database of GWAS associations in DISEASES v2.
DOI: 10.6084/m9.figshare.19146104
title: DISEASES v2 (human, text mining, full)

description: This file contains the full set of gene–disease associations obtained from automatic text mining in DISEASES v2.
DOI: 10.5281/zenodo.6025503
title: S80 | PFASGLUEGE | Overview of PFAS Uses

description: This is the collection associated with list S80 PFASGLUEGE Overview of PFAS Uses on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ An overview of the uses of per- and polyfluoroalkyl substances (PFAS) from Glüge <em>et al</em> (2020) DOI: 10.1039/D0EM00291G. This data collection contains: Original ESI files (ESI-2.xlsm, ESI-3.xlsm) CC-BY-NC ESI-3 on a single sheet with structure mappings (as XLSX and CSV) ESI-2 on a single sheet with structure mappings (as XLSX and CSV) [added Jan 2022] PFASGLUEGE substances (unique structural information, as XLSX and CSV) [including ESI2 Jan 2022] InChIKey and DTXSID mapping files Additional mapping files to value add ESI-2 and ESI-3 content as a zip file (also on GitLab). Huge thanks to Parviel Chirsir for the FAIRification of this set.
description: Please cite the original work Glüge et al 2020 DOI:10.1039/D0EM00291G when using these data. Files ESI-2 and ESI-3 are for non-commercial use only.
DOI: 10.6084/m9.figshare.19146107
title: DISEASES v2 (human, text mining, filtered)

description: This file contains the filtered non-redundant set of gene–disease associations obtained from automatic text mining in DISEASES v2.
DOI: 10.6084/m9.figshare.19146110
title: DISEASES v2 (human, integrated, full)

description: This file contains the full set of gene–disease associations integrated from all sources of evidence in DISEASES v2.
DOI: 10.5517/ccdc.csd.cc24d5h7
title: CCDC 1977908: Experimental Crystal Structure Determination

description: Related Article: Ting-Ting Guo, Ying-Ying Liu, Jin Yang, Jian-Fang Ma|2020|Inorg.Chem.Commun.|114|107847|doi:10.1016/j.inoche.2020.107847
DOI: 10.5517/ccdc.csd.cc24d5j8
title: CCDC 1977909: Experimental Crystal Structure Determination

description: Related Article: Ting-Ting Guo, Ying-Ying Liu, Jin Yang, Jian-Fang Ma|2020|Inorg.Chem.Commun.|114|107847|doi:10.1016/j.inoche.2020.107847
DOI: 10.5523/bris.3spp0cgrmsam924e0xirqcikhf
title: FeSeS pressure CP
title: Decoupled criticality in FeSeS

description: High-pressure study of the electrical resistivity of Fe(Se,S) single crystals with S contents just beyond the critical concentration at which nematicity is suppressed. Contains raw data files and analysed data, which accompanying metadata.
DOI: 10.3886/e161502v1-108780
title: COVID-19 vaccination and people with disabilities

description: People with disabilities face greater risk of adverse health outcomes and death from COVID-19 infection. As vaccination efforts continue across the United States, it is critical that accurate and reliable information about the COVID-19 vaccines reach this population. The purpose of this study was to investigate how people with disabilities view these vaccines as well as what barriers they face in getting vaccinated. In February of 2021, we launched an online survey looking into the vaccination status, trust in information sources on COVID-19 and vaccines, and attitudes and barriers surrounding vaccination efforts. In particular, we sought to examine differences among urban and rural respondents. We recruited participants from MTurk and invited them to complete the survey we had created using Qualtrics. We included a set of screening questions to filter for age, disability status, and to screen out bots. The following questions asked about health status, health literacy, vaccination status and intent, views of and barriers surrounding access to vaccines, trust in information sources, and other pandemic related topics. We processed and analyzed the results using a statistical software and produced the results in a research brief and manuscript.
description: Presence of Common Scales: WGSS 4-point Likert-type scale
description: Workers of Amazon Mechanical Turk (MTurk) that were screened for disability status
description: US residents aged 18+ Amazon Mechanical Turk (MTurk) workers. Smallest Geographic Unit: United States
description: web-based survey;
DOI: 10.17632/r9khb9nj2m.1
title: Inhibiting glycolysis rescues memory impairment in an intellectual disability Gdi1-null mouse

description: the tables are the data to compute the graphs showed in the pubblication, doi: 10.1016/j.metabol.2020.154463
DOI: 10.6084/m9.figshare.19146131
title: Visual field map response model parameters

description: Fit parameters of all neural response models to responses of voxels in each visual field map region of interest.
DOI: 10.17632/89x5khkx5f.1
title: Physical and psychological sequelae at three months after acute illness in COVID-19 survivors

description: Raw data of the publication with the DOI 10.23736/S0031-0808.21.04399-8.