cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/s3h7n7jyr4.1
title: Irregular distribution of grid cell firing fields in rats exploring a 3D volumetric space: summary dataset and analysis package

description: Summary dataset (in Matlab table format) and analysis codes (Matlab .m files) for Grieves, Jedidi-Ayoub, Mishchanchuk, Liu, Renaudineau, Duvelle and Jeffery (2021) Irregular distribution of grid cell firing fields in rats exploring a 3D volumetric space, Nature Neuroscience. The methods used to collect the data can be found in this paper.

Spike and LFP data are provided in a summarised format in the sdata.mat file. Each row of this file represents a trial. On average rats completed 3 trials per day/session (2 arena trials and a lattice maze trial between them).

Behavioural data, tracking data and general session information is provided in the bdata.mat file. Each row of this file also represents a trial. 

The script 'gridtest.m' performs two functions, first it can run through every row of these tables and analyse the data/add information to the table. Second, it can produce the main figures used in the paper given these tables.
DOI: 10.5281/zenodo.5721458
title: Modern China Geospatial Database - Republican China Dataset

description: <strong>MCGD_Rep</strong> is a sample of spatial data for China in the first half of twentieth century (1900-1949). The data was extracted from the MCGD Main Dataset. It is based mostly on the list of <em>xian</em> (county) seats in 1931 [Source: Zang, Lihe 臧励龢, ed. Zhongguo gujin diming da cidian 中国古今地名大辞典. Shanghai 上海: Commercial Press, 1931], with the addition of some external data [Source: Crow Newspaper Directories]. By and large, it presents a list of the major locations in China between 1900 and 1949. It contains 1,977 entries with the following variables: name in Chinese, name in pinyin; name of the province in Chinese and in pinyin; latitude and longitude, and Name ID and Location ID.
DOI: 10.5281/zenodo.4319749
title: Dates and Places of Birth and Death in the Biographical Dictionary of Republican China

description: This dataset contains the data on birth and death of the 589 historical figures in the Biographical Dictionary of Republican China. The file includes several tabs. The main data is located in the "data" tab. All the other tabs provide statistical analysis of the different variables included in the Data tab.
description: Except for the data on death that we supplemented — most of the figures in the BDRC were still alive when the book came out — the data reflect what is available in the BDRC. When we found additional or contradictory data, we added it in separate columns.
DOI: 10.5281/zenodo.4106718
title: Dates and Places of Birth and Death in the Biographical Dictionary of Republican China

description: This dataset contains the data on birth and death of the 589 historical figures in the Biographical Dictionary of Republican China. The file includes several tabs. The main data is located in the "data" tab. All the other tabs provide statistical analysis of the different variables included in the Data tab.
description: Except for the data on death that we supplemented — most of the figures in the BDRC were still alive when the book came out — the data reflect what is available in the BDRC. When we found additional or contradictory data, we added it in separate columns.
DOI: 10.5281/zenodo.4307902
title: BDRC Glossary

description: This file contains all the codes, abbreviations, or classifications used in the various datasets produced from the Biographical Dictionrary of Republican China.
DOI: 10.5281/zenodo.4307901
title: BDRC Glossary

description: This file contains all the codes, abbreviations, or classifications used in the various datasets produced from the Biographical Dictionrary of Republican China.
DOI: 10.5281/zenodo.4307860
title: Relations in the Biographical Dictionary of Republican China - Node & Edge lists and Attribute File

description: This dataset contains the node and edge lists of relations in the BDRC. They are based on the "Relations in the Biographical Dictionary of Republican China - Standardized output" file in this repository. The attributes of the nodes refer only to the main 589 figures in the BDRC.
DOI: 10.5281/zenodo.4307859
title: Relations in the Biographical Dictionary of Republican China - Node & Edge lists and Attribute File

description: This dataset contains the node and edge lists of relations in the BDRC. They are based on the "Relations in the Biographical Dictionary of Republican China - Standardized output" file in this repository. The attributes of the nodes refer only to the main 589 figures in the BDRC.
DOI: 10.5281/zenodo.4300492
title: Relations in the Biographical Dictionary of Republican China - Standardized output

description: This dataset contains the data on relations in the BDRC. It is based on the raw data output to be found in this collection. This file retained only the person-to-person relations. It served as a reference file to create the edge and node lists used for SNA under Cytoscape. All the corresponding networks are available as interactive networks in the ENP-China Group on the NDEx platform.
DOI: 10.5281/zenodo.4300491
title: Relations in the Biographical Dictionary of Republican China - Standardized output

description: This dataset contains the data on relations in the BDRC. It is based on the raw data output to be found in this collection. This file retained only the person-to-person relations. It served as a reference file to create the edge and node lists used for SNA under Cytoscape. All the corresponding networks are available as interactive networks in the ENP-China Group on the NDEx platform.
DOI: 10.21223/nzus1c/gnl1w3
title: 03_PTYield112020_HCHO_Dictionary.tab

description: :unav
DOI: 10.21223/nzus1c/39ie3p
title: 01_PTYield112020_HCHO_data.tab

description: :unav
DOI: 10.21223/nzus1c/lcs82d
title: 04_PTYield112020_HCHO_Data_installation.tab

description: :unav
DOI: 10.21223/nzus1c/irx0j6
title: 02_PTYield112020_HCHO_Material_list.tab

description: :unav
DOI: 10.5281/zenodo.4300311
title: Relations in the Biographical Dictionary of Republican China - Raw NLP Output

description: This file provides the data on relations as extracted from the Biographical Dictionary of Republican China (BDRC) with CoreNLP. This is the raw output before any form of processing and cleaning.
DOI: 10.5281/zenodo.4300310
title: Relations in the Biographical Dictionary of Republican China - Raw NLP Output

description: This file provides the data on relations as extracted from the Biographical Dictionary of Republican China (BDRC) with CoreNLP. This is the raw output before any form of processing and cleaning.
DOI: 10.25810/m361-7m79
title: FIRED AUSTRALIA: Northern Territory

description: This is event- and daily-level polygons for the Fire event delineation (FIRED) product for Australia: Northern Territory from November 2000  to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 5 pixels and 11 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.  See the accompanying metadata files for the statistics provided by each data set. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.5281/zenodo.5721477
title: Characterisations, yield and purity rates on Light Packagin Waste Sorting

description: One of the objectives of the Plasticircle project has been to improve the sorting of post consumer packaging. Near Infrared (NIR) sorting is used commonly in the waste industry to recover materials of value from mixed streams. A high level review of the waste composition in the three pilot cities has been carried out, along with specification of the sorted product requirements and an initial study into the sorting efficiency of the PICVISA NIR unit. Present attached documents report results of the sorting performance on the waste streams coming from the project.
DOI: 10.5281/zenodo.5721476
title: Characterisations, yield and purity rates on Light Packagin Waste Sorting

description: One of the objectives of the Plasticircle project has been to improve the sorting of post consumer packaging. Near Infrared (NIR) sorting is used commonly in the waste industry to recover materials of value from mixed streams. A high level review of the waste composition in the three pilot cities has been carried out, along with specification of the sorted product requirements and an initial study into the sorting efficiency of the PICVISA NIR unit. Present attached documents report results of the sorting performance on the waste streams coming from the project.
DOI: 10.25810/r7zf-1a10
title: FIRED CENTRAL AFRICAN REPUBLIC

description: This is event and daily-level polygons for the Fire event delineation (FIRED) product for Central African Republic from November 2000  to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 5 pixels and 11 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.  See the accompanying metadata files for the statistics provided by each data set. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.5517/ccdc.csd.cc246cg6
title: CCDC 1972327: Experimental Crystal Structure Determination

description: Related Article: Wen-Jun Zhou, Zhe-Hao Wang, Li-Li Liao, Yuan-Xu Jiang, Ke-Gong Cao, Tao Ju, Yiwen Li, Guang-Mei Cao, Da-Gang Yu|2020|Nat.Commun.|11|3263|doi:10.1038/s41467-020-17085-9
DOI: 10.5517/ccdc.csd.cc265kfd
title: CCDC 2031133: Experimental Crystal Structure Determination

description: Related Article: Tiansi Xin, Xinrui Wang, Kexin Yang, Jiefeng Liang, Wenliang Huang|2021|Inorg.Chem.|60|15321|doi:10.1021/acs.inorgchem.1c01922
DOI: 10.5517/ccdc.csd.cc26n8cj
title: CCDC 2045267: Experimental Crystal Structure Determination

description: Related Article: Stanislav Bezzubov, Kirill Ermolov, Alexander Gorbunov, Paulina Kalle, Ivan Lentin, Gennadij Latyshev, Vladimir Kovalev, Ivan Vatsouro|2021|Dalton Trans.|50|16765|doi:10.1039/D1DT03579G
DOI: 10.5517/ccdc.csd.cc26n8dk
title: CCDC 2045268: Experimental Crystal Structure Determination

description: Related Article: Stanislav Bezzubov, Kirill Ermolov, Alexander Gorbunov, Paulina Kalle, Ivan Lentin, Gennadij Latyshev, Vladimir Kovalev, Ivan Vatsouro|2021|Dalton Trans.|50|16765|doi:10.1039/D1DT03579G
DOI: 10.5517/ccdc.csd.cc26n8fl
title: CCDC 2045269: Experimental Crystal Structure Determination

description: Related Article: Stanislav Bezzubov, Kirill Ermolov, Alexander Gorbunov, Paulina Kalle, Ivan Lentin, Gennadij Latyshev, Vladimir Kovalev, Ivan Vatsouro|2021|Dalton Trans.|50|16765|doi:10.1039/D1DT03579G
DOI: 10.5517/ccdc.csd.cc26n8gm
title: CCDC 2045270: Experimental Crystal Structure Determination

description: Related Article: Stanislav Bezzubov, Kirill Ermolov, Alexander Gorbunov, Paulina Kalle, Ivan Lentin, Gennadij Latyshev, Vladimir Kovalev, Ivan Vatsouro|2021|Dalton Trans.|50|16765|doi:10.1039/D1DT03579G
DOI: 10.5517/ccdc.csd.cc26n8hn
title: CCDC 2045271: Experimental Crystal Structure Determination

description: Related Article: Stanislav Bezzubov, Kirill Ermolov, Alexander Gorbunov, Paulina Kalle, Ivan Lentin, Gennadij Latyshev, Vladimir Kovalev, Ivan Vatsouro|2021|Dalton Trans.|50|16765|doi:10.1039/D1DT03579G
DOI: 10.5517/ccdc.csd.cc26n8jp
title: CCDC 2045272: Experimental Crystal Structure Determination

description: Related Article: Stanislav Bezzubov, Kirill Ermolov, Alexander Gorbunov, Paulina Kalle, Ivan Lentin, Gennadij Latyshev, Vladimir Kovalev, Ivan Vatsouro|2021|Dalton Trans.|50|16765|doi:10.1039/D1DT03579G
DOI: 10.5517/ccdc.csd.cc26n8kq
title: CCDC 2045273: Experimental Crystal Structure Determination

description: Related Article: Stanislav Bezzubov, Kirill Ermolov, Alexander Gorbunov, Paulina Kalle, Ivan Lentin, Gennadij Latyshev, Vladimir Kovalev, Ivan Vatsouro|2021|Dalton Trans.|50|16765|doi:10.1039/D1DT03579G
DOI: 10.5517/ccdc.csd.cc27lfhs
title: CCDC 2073295: Experimental Crystal Structure Determination

description: Related Article: Sanjib Panda, Rupal Baliyan, Suman Dhara, Kuo-Wei Huang, Goutam Kumar Lahiri|2021|Dalton Trans.|50|16647|doi:10.1039/D1DT03310G
DOI: 10.5517/ccdc.csd.cc27lfkv
title: CCDC 2073297: Experimental Crystal Structure Determination

description: Related Article: Sanjib Panda, Rupal Baliyan, Suman Dhara, Kuo-Wei Huang, Goutam Kumar Lahiri|2021|Dalton Trans.|50|16647|doi:10.1039/D1DT03310G
DOI: 10.5517/ccdc.csd.cc27lflw
title: CCDC 2073298: Experimental Crystal Structure Determination

description: Related Article: Sanjib Panda, Rupal Baliyan, Suman Dhara, Kuo-Wei Huang, Goutam Kumar Lahiri|2021|Dalton Trans.|50|16647|doi:10.1039/D1DT03310G
DOI: 10.5517/ccdc.csd.cc21rg4f
title: CCDC 1899374: Experimental Crystal Structure Determination

description: Related Article: Moorthy Mathivanan, Balamurugan Tharmalingam, Ottoor Anitha, Chia-Her Lin, Viruthachalam Thiagarajan, Balasubramanian Murugesapandian|2021|Mater. Chem. Front.|5|8183|doi:10.1039/D1QM00782C
DOI: 10.25810/qaxf-rs14
title: FIRED NAMIBIA

description: This is event and daily-level polygons for the Fire event delineation (FIRED) product for Namibia from November 2000  to July 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 5 pixels and 11 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event.  See the accompanying metadata files for the statistics provided by each data set. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.13012/b2idb-4293962_v1
title: Data for Do rusty crayfish (Faxonius rusticus) invasions affect water clarity in north temperate lakes?

description: Data associated with the manuscript "Do rusty crayfish invasions affect water clarity in north temperate lakes?" by Daniel K. Szydlowski, Melissa K. Daniels, and Eric R. lARSON
DOI: 10.3886/e155241v1
title: Nov 2021. Distressed to Distracted: COVID-19, Mind Wandering, Learning

description: The Stata data from the manuscript "Distressed to distracted: Examining undergraduate learning and stress regulation during the COVID-19 pandemic" are included here, along with a READ_ME file.
description: Students aged 18 and older from University of California Riverside and Irvine.
DOI: 10.3886/e155241v2
title: Nov 2021. Distressed to Distracted: COVID-19, Mind Wandering, Learning

description: The Stata data from the manuscript "Distressed to distracted: Examining undergraduate learning and stress regulation during the COVID-19 pandemic" are included here, along with a READ_ME file.
description: Students aged 18 and older from University of California Riverside and Irvine.
DOI: 10.5281/zenodo.4450379
title: Radiometric data of GMRT observation of Venus conducted during 2015

description: The folder contains the Radiometric data of GMRT observation conducted on Venus during 2015 along with the tabular data of Radiative Transfer simulations.
DOI: 10.5281/zenodo.4450378
title: Radiometric data of GMRT observation of Venus conducted during 2015

description: The folder contains the Radiometric data of GMRT observation conducted on Venus during 2015 along with the tabular data of Radiative Transfer simulations.
DOI: 10.6084/m9.figshare.17033315.v1
title: Procedure for retrieving interactions and their instances

description: The dataset consists of three pickle files, 16 reference patterns created in the form of CSV. files, and a code for finding the instances of a reference pattern in the traffic dataset made by combining the pickle files. Each pickle file represents xyt-coordinates of the vehicles of the selected hour. The code is well written and self explanatory. The code is written in Python and can be open through any python IDE. Pycharm is recommended though.<br>
DOI: 10.3886/e155241
title: Nov 2021. Distressed to Distracted: COVID-19, Mind Wandering, Learning

description: The Stata data from the manuscript "Distressed to distracted: Examining undergraduate learning and stress regulation during the COVID-19 pandemic" are included here, along with a READ_ME file.
description: Students aged 18 and older from University of California Riverside and Irvine.
DOI: 10.3886/e155241v3
title: Nov 2021. Distressed to Distracted: COVID-19, Mind Wandering, Learning

description: The Stata data from the manuscript "Distressed to distracted: Examining undergraduate learning and stress regulation during the COVID-19 pandemic" are included here, along with a READ_ME file.
description: Students aged 18 and older from University of California Riverside and Irvine.
DOI: 10.5281/zenodo.5721486
title: Modern China Geospatial Database - PRC Dataset

description: <strong>MCGD_PRC</strong> is a list of cities in today's People’s Republic of China. It includes 2,525 locations, with with the following variables: name in Chinese (both traditional and simplified Chinese), name in pinyin, name of the province in Chinese and in pinyin; latitude and longitude.
DOI: 10.5281/zenodo.5721485
title: Modern China Geospatial Database - PRC Dataset

description: <strong>MCGD_PRC</strong> is a list of cities in today's People’s Republic of China. It includes 2,525 locations, with with the following variables: name in Chinese (both traditional and simplified Chinese), name in pinyin, name of the province in Chinese and in pinyin; latitude and longitude.
DOI: 10.6084/m9.figshare.17069858
title: Data from Richardson et al 2021 Parasitology

description: Dataset used for analysis of tick questing behavior across two habitat types.<br>
DOI: 10.6084/m9.figshare.17069858.v1
title: Data from Richardson et al 2021 Parasitology

description: Dataset used for analysis of tick questing behavior across two habitat types.<br>
DOI: 10.6084/m9.figshare.11823648
title: Toolkits, cards and games – a review of analogue tools for collaborative ideation

description: Analogue tools offer distinct benefits for collaborative design ideation and can take a variety of tailored forms including card decks, templates, toys and board games. However, owing to the disparate and multidisciplinary sources of these tools, there is currently no easy way to gain a coherent view of the tool landscape. To resolve this, we conducted a survey of analogue ideation tools within the design and HCI literatures, and within commercial practice. Of 3,395 results, 76 met the inclusion criteria. The resulting collection is presented and classified according to 10 descriptors including a novel taxonomy for distinguishing 7 tool types (methods, prompts, components, concepts, stories, embodiment, and construction). We also discuss gaps and opportunities for future tool development in inclusivity, cultural-tailoring and embodiment. Our aim is to help designers and design teams more fluently select, customise, critique, analyse and/or build tools to support collaborative designerly inquiry.
DOI: 10.6084/m9.figshare.17069813
title: NGS spatio-temporal

description: The sequence file contains HiSeq 16S sequences from the rhizo- and endosphere of ten apple trees taken at four timepoints. The corresponding information about the samples are in the metadata file.<br>The resulting ASV table and analytical R-scripts can be found here: https://github.com/mfbeuq/becker_etal_spatiotemporal/tree/main/Spatio-temporal Trial<br>
DOI: 10.6084/m9.figshare.17069813.v1
title: NGS spatio-temporal

description: The sequence file contains HiSeq 16S sequences from the rhizo- and endosphere of ten apple trees taken at four timepoints. The corresponding information about the samples are in the metadata file.<br>The resulting ASV table and analytical R-scripts can be found here: https://github.com/mfbeuq/becker_etal_spatiotemporal/tree/main/Spatio-temporal Trial<br>
DOI: 10.5281/zenodo.5721518
title: Experimental datasets from Newland et al. (2021, ACP, NO3 chemistry of wildfire emissions: a kinetic study of the gas-phase reactions of furans with the NO3 radical)

description: This folder contains raw FTIR output in .csv format for the furan+NO3 experiments in Newland et al. (2021). The dates (and so relevant VOCs) for each experiment can be found in Table S1. FTIR reference spectra for the furans are also provided. All spectra were recorded at ~ 3 ppmv.
DOI: 10.6084/m9.figshare.17068640
title: NGS temporal trial

description: The sequence file contains HiSeq 16S sequences from the rhizo- and endosphere of six apple trees taken at twelve timepoints throughout an entire year. The corresponding information about the samples are in the metadata file.<br>The resulting ASV table and analytical R-scripts can be found here: https://github.com/mfbeuq/becker_etal_spatiotemporal/tree/main/Temporal Trial
DOI: 10.5281/zenodo.5721517
title: Experimental datasets from Newland et al. (2021, ACP, NO3 chemistry of wildfire emissions: a kinetic study of the gas-phase reactions of furans with the NO3 radical)

description: This folder contains raw FTIR output in .csv format for the furan+NO3 experiments in Newland et al. (2021). The dates (and so relevant VOCs) for each experiment can be found in Table S1. FTIR reference spectra for the furans are also provided. All spectra were recorded at ~ 3 ppmv.