cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/99zvktxz62.1
title: Photoelasticity Color Dynamics Dataset for stress analysis applications

description: Photoelasticity is an optical technique that takes advantage of birefringence in some materials to obtain isoclinic and isochromatic fringe patterns. Which represent the direction and the difference of the principal stresses in a sample under a mechanical load. 

The changes in the photoelasticity fringe patterns contain information about the stresses presented in a sample. One of the ways to access this information without unwrapping the fringe patterns is through pixel intensity values. Which allow to reconstruct temporary signals that represent the changes of stresses produced by external stimulations such as mechanical loads or temperature changes. Today there is no dataset in the literature that contains data abourt this type of information.

To obtain this data set, sequences of 720 images of synthetic photoelasticity models with different geometries were generated and a progressive mechanical load between 0 and 4000 Newtons was applied.

The data set presented below contains two arrays called testing and training which have the following dimensions [8000,2161] and [32000,2161], respectively. The rows represent the number of pixels from which information was obteined and the columns are divided into 4 sections. The columns between 1 and 720 correspond to the RED channel, the columns between 721 and 1440 correspond to the GREEN channel and data in columns 1441 and 2160 correspond to the BLUE channel.

Finally, the data in column 2161 corresponds to the classification of each pixel. The classification is divided into 4 labels. Number 1 corresponds to pixels located in high stress zone, number 2 corresponds to pixels located in a medium stress zone, number 3 corresponds to pixels located in low stress zone, and number 4 corresponds to pixels located in a zone with the presence of residual stresses.

The stress classification criterion was based on the fringe order, orders greater than 6.5 were taken as high stresses, between 2 and 6.5 as medium stresses, and below 2 orders  were considered as low stresses. The category of residual stresses was taken based on a geometric selection of an area with the presence of residual stresses.
DOI: 10.5281/zenodo.7220256
title: Data for paper "Constructing precisely quasi-isodynamic magnetic fields"

description: This archive contains data and source code used for the paper "Constructing precisely quasi-isodynamic magnetic fields".
DOI: 10.5281/zenodo.7220257
title: Data for paper "Constructing precisely quasi-isodynamic magnetic fields"

description: This archive contains data and source code used for the paper "Constructing precisely quasi-isodynamic magnetic fields".
DOI: 10.5281/zenodo.7313702
title: Data for paper "Constructing precisely quasi-isodynamic magnetic fields"

description: This archive contains data and source code used for the paper "Constructing precisely quasi-isodynamic magnetic fields".
DOI: 10.17632/f5njgwjjtg.1
title: Data for Ni-Goethite transformation to pyrite

description: Including XRD data; Chemical compositions; solution chemistry; XAS data at Fe K-edges; TGA data; Chemical analyses upon HCl/HNO3 acid treatment.
DOI: 10.17632/yx65w3tmc5.1
title: Temporal pattern mining from user generated content

description: This is the dataset of the article "Temporal pattern mining from user generated content".  Paper Doi: https://doi.org/10.1016/j.dcan.2022.11.008
Github Repository: https://github.com/mhadnanali/tpm-ugc

BibTex

@article{ALI2022,
title = {Temporal pattern mining from user generated content},
journal = {Digital Communications and Networks},
year = {2022},
issn = {2352-8648},
doi = {https://doi.org/10.1016/j.dcan.2022.11.008},
url = {https://www.sciencedirect.com/science/article/pii/S2352864822002498},
author = {Adnan Ali and Jinlong Li and Huanhuan Chen and Ali Kashif Bashir},
keywords = {Social media analysis, Collaborative computing, Social data, Twitter data, Temporal patterns mining, Dynamic graphs}
}
DOI: 10.17632/zjrt56tcnx.1
title: Population survey on Misophonia in Germany 2021

description: This is data from a representative survey in the Germany population on the topic of misophonia. The goal was to establish an estimate of prevalence.
Other variables are demographic information and clinical correlates. The sample size for our analysis was 2519. We upload our dataset and syntax in SPSS format.
The DOI of our publication is 10.3389/fpsyt.2022.1012424
DOI: 10.17632/fn3p3st69b.1
title: Sessile assemblage composition Adriatic Sea (P/A)

description: This data set is the result of a manipulative experiment  carried out as a part of research activities supported by the European Community within the 7th Framework Programme (FP7/2007−2013) for the project ‘Towards COast to COast NETworks of Marine Protected Areas (from the shore to the high and deep sea), coupled with sea-based wind energy potential (CoCoNet)’, Grant Agreement No. 287844. 
The experiment was carried out at seven locations representative of shallow subtidal rocky reefs in the Adriatic Sea. In most cases locations were selected within Marine Protected Areas (MPAs), natural parks or reserves, or other areas included in current and future conservation plans, in order to assess the connectivity potential of the existing and projected network of protected areas in the basin. Locations were: MPA of Tremiti islands (42° 7'11.24"N - 15°29'2.25"E), MPA of Torre Guaceto (40°42'59.46"N - 17°47'59.77"E), EU Special Area of Conservation, Otranto (40° 7'13.53"N - 18°30'39.38"E); Croatia: Kornati Islands National Park (43°49'14.68"N - 15°14'5.37"E); Montenegro: Herceg Novi (42°22'46.96"N - 18°34'49.96"E); Albania: Karaburun-Sazan National Park (40°24'1.45"N - 19°18'52.99"E); Greece: EU proposed Site of Community Importance, Othonoi Island (39°50'7.27"N - 19°23'29.86"E). For each location, three random sites (1-5 km apart) characterized by comparable conditions, in terms of type and slope of the substrate and exposure, were identified. At each site, six square patches (few meters apart, each approximately 2 m2) were randomly selected on sub-horizontal rocky bottoms at 5-7 m depth and permanently marked at the four corners with screws and epoxy putty. Three of the six patches were randomly chosen and experimentally disturbed by removing the resident assemblages from the substrate. Epibenthic assemblages in treatment patches were scraped off with chisels and hammers. Steel brushes were used to remove organism remains after treatment. The other three patches were left untouched and used as reference during the experiment. The experimental setup started in June 2013 and treatments in all locations were performed within one months. Sessile assemblages were sampled in five sampling occasions, one at the beginning of the experiment (July-August 2013, undisturbed patches only) and then at 3 (October-November 2013), 9 (April-May 2014), 12 (July-August 2014) and 24 (July-August 2015) months since disturbance. Five random 400 cm2 photographic samples were taken in each patch for each time of sampling by using a digital underwater camera equipped with strobes. A total of 2,835 photographic samples were collected and analyzed to identify epibenthic organisms. Vagile organisms were not considered in the analysis. A total of 70 taxa/groups, most of them (~80%) at the level of species or genus were recorded. Data reported assemblage composition (presence/absence) for each site, separately for disturbed and undisturbed assemblages, in each time of sampling.
DOI: 10.17632/v27t7jvxkn.1
title: Financial empirical data

description: This dataset contains the 1min closing price of the major indices of both China's stock market(SH000001 and SZ399001) and the U.S. market(SPX and NASDAQ).
DOI: 10.17632/my3y7nv8ns.2
title: Data on the Effectiveness of Malaysian Government Assistance Program on Urban B40 Households during COVID-19 Pandemic

description: This data article presents the data on the effectiveness of the Malaysian government assistance program on urban B40 households during the COVID-19 pandemic. Survey questionnaires were administered by a team of enumerators to a total of 706 urban B40 households in Malaysia for data collection. Data were collected based on six regional locations namely northern, central, eastern, and southern parts of Peninsular Malaysia and East Malaysia. The survey was conducted in six Malaysian states selected based on regional location covering the Peninsular and West part of Malaysia viz. Johor, Pahang, Selangor, Pulau Pinang, Sabah and Sarawak. The Department of Statistics Malaysia (DOSM) utilized a simple random sampling method to identify the eligible participants from each state based on the sampling frame identified. Data were collected by a team of enumerators from October 2020 until May 2021. The datasets contain reliable data on the socio-economic profile and government assistance programs during the COVID-19 pandemic on urban B40 households as the data sampling is representative of the population in Malaysia. The data provides important information on the different types of government assistance programs received by the urban B40 Households in Malaysia. The findings could be useful to evaluate the effectiveness of the financial aid received during a crisis.
DOI: 10.17632/my3y7nv8ns.1
title: Data on the Effectiveness of Malaysian Government Assistance Program on Urban B40 Households during COVID-19 Pandemic

description: This data article presents the data on the effectiveness of the Malaysian government assistance program on urban B40 households during the COVID-19 pandemic. Survey questionnaires were administered by a team of enumerators to a total of 706 urban B40 households in Malaysia for data collection. Data were collected based on six regional locations namely northern, central, eastern, and southern parts of Peninsular Malaysia and East Malaysia. The survey was conducted in six Malaysian states selected based on regional location covering the Peninsular and West part of Malaysia viz. Johor, Pahang, Selangor, Pulau Pinang, Sabah and Sarawak. The Department of Statistics Malaysia (DOSM) utilized a simple random sampling method to identify the eligible participants from each state based on the sampling frame identified. Data were collected by a team of enumerators from October 2020 until May 2021. The datasets contain reliable data on the socio-economic profile and government assistance programs during the COVID-19 pandemic on urban B40 households as the data sampling is representative of the population in Malaysia. The data provides important information on the different types of government assistance programs received by the urban B40 Households in Malaysia. The findings could be useful to evaluate the effectiveness of the financial aid received during a crisis.
DOI: 10.17632/my3y7nv8ns.3
title: Data on the Effectiveness of Malaysian Government Assistance Program on Urban B40 Households during COVID-19 Pandemic

description: This data article presents the data on the effectiveness of the Malaysian government assistance program on urban B40 households during the COVID-19 pandemic. Survey questionnaires were administered by a team of enumerators to a total of 706 urban B40 households in Malaysia for data collection. Data were collected based on six regional locations namely northern, central, eastern, and southern parts of Peninsular Malaysia and East Malaysia. The survey was conducted in six Malaysian states selected based on regional location covering the Peninsular and West part of Malaysia viz. Johor, Pahang, Selangor, Pulau Pinang, Sabah and Sarawak. The Department of Statistics Malaysia (DOSM) utilized a simple random sampling method to identify the eligible participants from each state based on the sampling frame identified. Data were collected by a team of enumerators from October 2020 until May 2021. The datasets contain reliable data on the socio-economic profile and government assistance programs during the COVID-19 pandemic on urban B40 households as the data sampling is representative of the population in Malaysia. The data provides important information on the different types of government assistance programs received by the urban B40 Households in Malaysia. The findings could be useful to evaluate the effectiveness of the financial aid received during a crisis.
DOI: 10.7795/720.20220921
title: IRSD raw alpha spectrum data for Rn-222 emanation determination

description: Data measured with an IRSD and AlphaGUARD for the determination of the Rn-222 emanation from Ra-226.
description: EMPIR projects are co-funded by the European Union’s (EU) Horizon 2020 research and innovation programme and the EMPIR participating states.
DOI: 10.5519/qd.tedcpz6r
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (92 records)
DOI: 10.25502/1f19-4w96/d
title: Benin cashew borer density 2009-2010

description: Conduct bioecology studies of cashew pests and their natural enemies and pollinators
DOI: 10.5519/qd.g6x60xfk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.34740/kaggle/dsv/4489228
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.21534621
title: Out of thin air: surveying tropical bat roosts through air sampling of eDNA

description: This containes the raw data associated with our submission for this paper. <br> These raw data files contain data for two projecgts. Also including processed ASV file just for this manuscript. <br> Contact authors if you wish to reprocess the raw data so we can help you separate the two projects. eclare@yorku.ca
DOI: 10.6084/m9.figshare.21534621.v1
title: Out of thin air: surveying tropical bat roosts through air sampling of eDNA

description: This containes the raw data associated with our submission for this paper. <br> These raw data files contain data for two projecgts. Also including processed ASV file just for this manuscript. <br> Contact authors if you wish to reprocess the raw data so we can help you separate the two projects. eclare@yorku.ca
DOI: 10.6084/m9.figshare.5117452.v3
title: Ulmus glabra chorology

description: Distribution map of wych elm (<i>Ulmus glabra</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). <br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01<br><br>
DOI: 10.5281/zenodo.7313800
title: COSN paper data (The Chinese Open Science Network (COSN): Building an Open Science community from scratch)

description: This is the dataset for generating figure1 and figure 3 in the manuscript <em>The Chinese Open Science Network (COSN): Building an Open Science community from scratch </em>(Accepted by AMPPS). Preprint at: https://doi.org/10.31234/osf.io/ac9by. All the data and codes are available in repo: COSN_AMPPS_Paper Accepted Version.
description: {"references": ["Jin, H. Wang, Q. et al. The Chinese Open Science Network (COSN): Building an Open Science community from scratch. Preprint at https://doi.org/10.31234/osf.io/ac9by (2022)"]}
DOI: 10.5281/zenodo.7313799
title: COSN paper data (The Chinese Open Science Network (COSN): Building an Open Science community from scratch)

description: This is the dataset for generating figure1 and figure 3 in the manuscript <em>The Chinese Open Science Network (COSN): Building an Open Science community from scratch </em>(Accepted by AMPPS). Preprint at: https://doi.org/10.31234/osf.io/ac9by. All the data and codes are available in repo: COSN_AMPPS_Paper Accepted Version.
description: {"references": ["Jin, H. Wang, Q. et al. The Chinese Open Science Network (COSN): Building an Open Science community from scratch. Preprint at https://doi.org/10.31234/osf.io/ac9by (2022)"]}
DOI: 10.5523/bris.2ejxinnlt7kmr2hda2infx5r1k
title: Is there a causal relationship between executive function and mental health and substance use? A Mendelian randomisation approach

description: This two-sample Mendelian Randomisation study examined whether there was evidence for causal pathways between a common factor score for executive function and schizophrenia, MDD, anxiety, smoking initiation, alcohol consumption, alcohol dependence and cannabis use disorder (CUD), including the likely direction of any causal pathways.
DOI: 10.5285/e6cf8946-e493-4c36-b4f5-58f7a2ee2a74
title: High resolution vector polygons of the Antarctic coastline - VERSION 7.6

description: Coastline for Antarctica created from various mapping and remote sensing sources, provided as polygons with 'land', 'ice shelf', 'ice tongue' or 'rumple' attribute. Covering all land and ice shelves south of 60S. Suitable for topographic mapping and analysis. High resolution versions of ADD data are suitable for scales larger than 1:1,000,000. The largest suitable scale is changeable and dependent on the region. Changes in v7.6 include updates to the Amery Ice Shelf front, ice shelves and glaciers east of Law Dome, and sections of coast and ice shelf around Abbot Ice Shelf and Pine Island Glacier. Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.
description: Dataset compiled from a variety of Antarctic map and satellite image sources. The dataset was created using ArcGIS and QGIS GIS software programmes and has been checked for basic topography and geometry checks, but does not contain strict topology. Quality varies across the dataset and certain areas where high resolution source data were available are suitable for large scale maps whereas other areas are only suitable for smaller scales. Each polygon contains a 'surface' attribute with either 'land', 'ice shelf', 'ice tongue' or 'rumple'. Details of when and how each line was created can be found in the attributes of the high resolution polyline coastline dataset. Data sources range in time from 1990s-2022 - individual lines contain exact source dates.
DOI: 10.5285/b5eaca58-2fce-4a68-bea5-fbafd7c90fa2
title: Medium resolution vector polygons of the Antarctic coastline - VERSION 7.6

description: Coastline for Antarctica created from various mapping and remote sensing sources, provided as polygons with 'land', 'ice shelf', 'ice tongue' or 'rumple' attribute. Covering all land and ice shelves south of 60S. Suitable for topographic mapping and analysis. This dataset has been generalised from the high resolution vector polygons. Medium resolution versions of ADD data are suitable for scales smaller than 1:1,000,000, although certain regions will appear more detailed than others due to variable data availability and coastline characteristics. Changes in v7.6 include updates to the Amery Ice Shelf front, ice shelves and glaciers east of Law Dome, and sections of coast and ice shelf around Abbot Ice Shelf and Pine Island Glacier. Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.
description: Dataset compiled from a variety of Antarctic map and satellite image sources. The dataset was created using ArcGIS and QGIS GIS software programmes and has been checked for basic topography and geometry checks, but does not contain strict topology. Quality varies across the dataset and certain areas where high resolution source data were available are suitable for large scale maps whereas other areas are only suitable for smaller scales. Each polygon contains a 'surface' attribute with either 'land', 'ice shelf', 'ice tongue' or 'rumple'. Details of when and how each line was created can be found in the attributes of the high or medium resolution polyline coastline dataset. Data sources range in time from 1990s-2022 - individual lines contain exact source dates. This medium resolution version has been generalised from the high resolution version. All polygons &lt;0.1km2 not intersecting anything else were deleted and the 'simplify' tool was used in ArcGIS with the 'point remove' algorithm and a smoothing tolerance of 50 m.
DOI: 10.5285/96cf916d-7aa7-464c-985e-a39692d5be83
title: High resolution vector polygon seamask for areas south of 60S - VERSION 7.6

description: A high resolution seamask for regions south of 60S, comprised of a roundel polygon with all land and ice shelves erased. High resolution versions of ADD data are suitable for scales larger than 1:1,000,000. The largest suitable scale is changeable and dependent on the region. Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.
description: This dataset was generated by erasing the high resolution polygon coastline v7.6 from a circular polygon covering the data extent up to 60S.
DOI: 10.5285/217b8fde-5664-4ff5-8f30-0cf8c1f14be7
title: Medium resolution vector polygon seamask for areas south of 60S - VERSION 7.6

description: A medium resolution seamask for regions south of 60S, comprised of a roundel polygon with all land and ice shelves erased. Medium resolution versions of ADD data are suitable for scales smaller than 1:1,000,000, although certain regions will appear more detailed than others due to variable data availability and coastline characteristics. Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.
description: This dataset was generated by erasing the medium resolution polygon coastline v7.6 from a circular polygon covering the data extent up to 60S.