cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2564253
title: Abstractions of all intersections in Australia based on satellite imagery

description: This dataset contains processed satellite imagery of 898,418 intersections in Australia. Imagery has been processed using computer vision techniques to emphasise features important for road safety. Detailed information is available in the corresponding journal article: Wijnands J.S., Zhao H., Nice K.A.,Thompson J., Scully K., Guo J., Stevenson M., Identifying safe intersection design through unsupervised feature extraction from satellite imagery. <em>Computer-Aided Civil and Infrastructure Engineering</em>, 2020.
description: Files have been named as ID_latitude_longitude.png, corresponding to the (latitude, longitude) coordinates of the intersection.
DOI: 10.5519/qd.xdgb2jxe
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/cyryn8
title: A review of Bennelongia De Deckker & McKenzie, 1981 (Crustacea, Ostracoda) species from eastern Australia with the description of three new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shearn, Rylan, Koenders, Annette, Halse, Stuart, Martens, Isa Sch?n and Koen (2016): A review of Bennelongia De Deckker & McKenzie, 1981 (Crustacea, Ostracoda) species from eastern Australia with the description of three new species. European Journal of Taxonomy 25: 1-35, DOI: http://dx.doi.org/10.5852/ejt.2012.25
DOI: 10.5281/zenodo.3858063
title: Codes and Dataset for "Application of Low-Cost Fine Particulate Mass Monitors to Convert Satellite Aerosol Optical Depth to Surface Concentrations in North America and Africa"

description: This file contains the codes and dataset pertaining to the manuscript "Application of Low-Cost Fine Particulate Mass Monitors to Convert Satellite Aerosol Optical Depth to Surface Concentrations in North America and Africa"
DOI: 10.5281/zenodo.3859093
title: yodel classification dataset

description: Supplementary dataset for the study "Machine learning classification of regional Swiss yodel styles based on their melodic attributes".
DOI: 10.15468/ydkv4v
title: Re-description of Dysponetus joeli Olivier et al., 2012 (Polychaeta, Chrysopetalidae), with a new key to species of the genus

description: This dataset contains the digitized treatments in Plazi based on the original journal article Darbyshire, Teresa (2012): Re-description of Dysponetus joeli Olivier et al., 2012 (Polychaeta, Chrysopetalidae), with a new key to species of the genus. European Journal of Taxonomy 27: 1-9, DOI: http://dx.doi.org/10.5852/ejt.2012.27
DOI: 10.21227/y7pj-ck28
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets were captured by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's data sharing policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted with an exact location that contained any of the previously mentioned keywords.Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 120+ million tweets) shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data)if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.
DOI: 10.5281/zenodo.3857871
title: Dataset: Whole blood count, used in: "AIDeveloper: deep learning image classification in life science and beyond"

description: Real-time deformability cytometry (RT-DC) data of whole blood measurements.<br> Data was used to train and validate a neural net to perform a blood count based on brightfield images of RT-DC. 01_Model: Contains the final model as well as an AIDeveloper meta-file that allows to reproduce the training procedure. The metafile preciesely defines which dataset was used for training and which for validation as well as all parameters that were set in AIDeveloper. The following folders contain data that was used for training (and validation): Cambr KIK 20190306_DextranBlood_AI_DataSet Gs_Blood_Train Testing data is stored on figshare:<br> https://figshare.com/articles/Krater_et_al_2020_Data_zip/9902636
description: Dataset was used in "AIDeveloper: deep learning image classification in life science and beyond"
DOI: 10.5281/zenodo.3857872
title: Dataset: Whole blood count, used in: "AIDeveloper: deep learning image classification in life science and beyond"

description: Real-time deformability cytometry (RT-DC) data of whole blood measurements.<br> Data was used to train and validate a neural net to perform a blood count based on brightfield images of RT-DC. 01_Model: Contains the final model as well as an AIDeveloper meta-file that allows to reproduce the training procedure. The metafile preciesely defines which dataset was used for training and which for validation as well as all parameters that were set in AIDeveloper. The following folders contain data that was used for training (and validation): Cambr KIK 20190306_DextranBlood_AI_DataSet Gs_Blood_Train Testing data is stored on figshare:<br> https://figshare.com/articles/Krater_et_al_2020_Data_zip/9902636
description: Dataset was used in "AIDeveloper: deep learning image classification in life science and beyond"
DOI: 10.21227/netn-pd91
title: ERMII encoding lookup tables optimized with different goals

description: Encoding and decoding tables for Enhanced Reduced Media-Independent Interface. Dataset contains 3 sets of lookup tables implementing encoder and decoder. Proposed encoder/decoder garantee that 2-bit TXD/RXD will change each data transmission cycle, making it possible for ERMII interface to work without REF_CLK, TX_EN and CRS_DV lines in difference to regular RMII.6b8b_encdec_v1.mat contains set of lookup tables optimized to minimize simultanious switching noise.6b8b_encdec_v2.mat contains set of lookup tables optimized to minimize number of periods without transition in a lower bit of bitpairs.6b8b_encdec_v3.mat contains set of lookup tables optimized to maximize number simulatnious transitions in both bits of bitpairs.tst6b8b.m contains encoder/decoder test script
DOI: 10.5281/zenodo.3859118
title: JRC Phased Array Weather Radar Observational Data

description: These datasets were observed by Phased Array Weather Radar from 0755 to 0810 JST on October 12, 2019. Data type is NetCDF. Data variables are radar reflectivity and Doppler velocity.
DOI: 10.5281/zenodo.3859119
title: JRC Phased Array Weather Radar Observational Data

description: These datasets were observed by Phased Array Weather Radar from 0755 to 0810 JST on October 12, 2019. Data type is NetCDF. Data variables are radar reflectivity and Doppler velocity.
DOI: 10.6073/pasta/5dad0e9a64ef382fa6bc95f0f48ca279
title: Morphological and nutritional characteristics of Gambel's Quail, Callipepla gambelii, in the greater Phoenix metropolitan area, Arizona (July-September 2015)

description: Gambel's Quail, Callipepla gambelii, are gregarious birds commonly found in the southwestern deserts of the United States and Northwestern Mexico. With expanding urbanization, these birds are often found in exurban and suburban areas where they have access to food sources that may differ from those used by birds living in rural-urban fringes. To investigate this question, we compared the morphology and nutritional physiology of quail sampled at sites varying with respect to land use and cover. We hypothesized that quail living in urbanized areas have access to a greater variety of food sources and to more stable food resources, and so are in better body condition, than quail residing in less urbanized areas. We sampled birds at locations in the Phoenix, Arizona (USA) area, that vary with respect to land use and cover types. Birds were weighed and we measured their body length and chest circumference. A blood sample was collected from the jugular vein of each individual for analysis of plasma glucose, total proteins, triglycerides, and free glycerol using commercially available kits. Consistent with our hypothesis, birds living in more urbanized environments were longer, and they had larger chest circumferences and greater circulating triglyceride concentrations than birds living in less developed areas, suggesting greater access to lipid-rich foods. In addition, the abundance of grass at the sampling sites was associated positively with plasma protein concentrations but negatively with plasma free glycerol levels. Areas with more grass may provide birds with less dietary fats than the diet of urban birds, resulting in the breakdown of triglycerides into free glycerol. These findings are the first to demonstrate an association between urbanization and the morphology and nutritional physiology of Gambel's Quail.
DOI: 10.21227/1q39-s456
title: Pattern Recognition System for Power Quality Classification in Transmission Grid

description: This data set comes from the work developed in "Voltage Disturbance Classification for TransmissionGrid Using Wavelets and Deep Learning", in the discipline of SIGNAL PROCESSING AND ANALYSIS OF GRID PERFORMANCE METRICS of the Master in Electrical Engineering at the Federal University of Itajubá. In the dataset, there is the electrical transmission system modeled in Simulink. It also contains the codes to generate the data from the model, extract images from data processing (in this case, a continuous wavelet transform), and image processing. Finally, the program to train the network is also provided. All codes are in M-FILE format.
DOI: 10.21227/sng1-y893
title: Pattern Recognition System for Power Quality Classification in Transmission Grid

description: This data set comes from the work developed in "Voltage Disturbance Classification for TransmissionGrid Using Wavelets and Deep Learning", in the discipline of SIGNAL PROCESSING AND ANALYSIS OF GRID PERFORMANCE METRICS of the Master in Electrical Engineering at the Federal University of Itajubá. In the dataset, there is the electrical transmission system modeled in Simulink. It also contains the codes to generate the data from the model, extract images from data processing (in this case, a continuous wavelet transform), and image processing. Finally, the program to train the network is also provided. All codes are in M-FILE format.
DOI: 10.5281/zenodo.3858421
title: Perch positioning affects laying hen locomotion and forces experienced at the keel - FULL DATA SET

description: Full data set for publication in Animals <strong>Perch positioning affects laying hen locomotion and forces experienced at the keel</strong> <em>Christina Rufener, Ana K. Rentsch, Ariane Stratmann, Michael J. Toscano</em>
DOI: 10.5281/zenodo.3858422
title: Perch positioning affects laying hen locomotion and forces experienced at the keel - FULL DATA SET

description: Full data set for publication in Animals <strong>Perch positioning affects laying hen locomotion and forces experienced at the keel</strong> <em>Christina Rufener, Ana K. Rentsch, Ariane Stratmann, Michael J. Toscano</em>
DOI: 10.5281/zenodo.3858250
title: Republished EOD - eBird Observation Dataset

description: This publication contains a republished eBird Darwin Core Archive "dwca-1.0.zip" as discovered via GBIF on 2019-04-08 via http://ebirddata.ornith.cornell.edu/downloads/gbiff/dwca-1.0.zip . Levatich T, Padilla F (2019). EOD - eBird Observation Dataset. Cornell Lab of Ornithology. Occurrence dataset hash://sha256/ec3ff57cb48d5c41b77b5d1075738b40f598a900e8be56e7645e5a24013dffc4 https://doi.org/10.15468/aomfnb accessed via GBIF.org on 2019-04-08 with provenance hash://sha256/5a39b7bbe9d1bc46ed2eb7bd76c490b5c85a09369a7cf7dc18fa04532679e9a7 .
DOI: 10.5281/zenodo.3858251
title: Republished EOD - eBird Observation Dataset

description: This publication contains a republished eBird Darwin Core Archive "dwca-1.0.zip" as discovered via GBIF on 2018-09-27 via http://ebirddata.ornith.cornell.edu/downloads/gbiff/dwca-1.0.zip . Levatich T, Padilla F (2018). EOD - eBird Observation Dataset. Cornell Lab of Ornithology. Occurrence dataset hash://sha256/29d30b566f924355a383b13cd48c3aa239d42cba0a55f4ccfc2930289b88b43c https://doi.org/10.15468/aomfnb accessed via GBIF.org on 2018-09-27 with provenance hash://sha256/b83cf099449dae3f633af618b19d05013953e7a1d7d97bc5ac01afd7bd9abe5d .
DOI: 10.7910/dvn/rpviju/17rd3b
title: Nuts_2_Mollweide_NASA_synthesis_FINAL.cpg

description: :unav
DOI: 10.7910/dvn/rpviju/aw0v4i
title: mastersheet.tab

description: :unav
DOI: 10.7910/dvn/rpviju/ciwe1x
title: income_nominal_adjustment_2001.tab

description: :unav
DOI: 10.7910/dvn/rpviju/ctoiiw
title: Nuts_2_Mollweide_NASA_synthesis_FINAL.tab

description: :unav
DOI: 10.7910/dvn/rpviju/gmwxb6
title: Nuts_2_Mollweide_NASA_synthesis_FINAL.sbx

description: :unav
DOI: 10.7910/dvn/rpviju/iad7cl
title: FCCproject_code.do

description: :unav
DOI: 10.7910/dvn/rpviju/vavmzn
title: income1990_2001_identifiers.tab

description: :unav
DOI: 10.7910/dvn/rpviju/w5v7ae
title: FCC_satellitedata_dynamic_types_ha.tab

description: :unav
DOI: 10.7910/dvn/rpviju/9z9hkj
title: final_forest_types_Rus_regions_data.tab

description: :unav
DOI: 10.7910/dvn/rpviju/apqoch
title: FCCproject_IV.tab

description: :unav
DOI: 10.7910/dvn/rpviju/cwqnr0
title: income2001.tab

description: :unav
DOI: 10.7910/dvn/rpviju/jsom02
title: ready_data.tab

description: :unav
DOI: 10.7910/dvn/rpviju/ofk7fz
title: Nuts_2_Mollweide_NASA_synthesis_FINAL.prj

description: :unav
DOI: 10.7910/dvn/rpviju/ueubs1
title: auto.tex

description: :unav
DOI: 10.7910/dvn/rpviju/w6fz2k
title: Nuts_2_Mollweide_NASA_synthesis_FINAL.shp.xml

description: :unav
DOI: 10.7910/dvn/rpviju/wlgzve
title: Nuts_2_Mollweide_NASA_synthesis_FINAL.dbf

description: :unav
DOI: 10.17909/t9-1pcz-se70
title: Data used for NGC 147 and NGC 185 Proper Motion paper

description: We present the first proper motion (PM) measurements for the dwarf elliptical galaxies NGC147 and NGC185, two satellite galaxies of M31, using multi-epoch HST imaging data with time baselines of ~8 years. For each galaxy, we take an error-weighted average of measurements from HST ACS/WFC and WFC3/UVIS to determine the PMs. Our final results for the PMs are (mu_W, mu_N)_N147 = (-0.0232,0.0378)+/-(0.0143,0.0146)mas/yr for NGC147, and (mu_W, mu_N)_N185=(-0.0242,0.0058)+/-(0.0141,0.0147)mas/yr for NGC185. The 2-dimensional direction of motion for NGC147 about M31 is found to be aligned with its tidal tails. The 3-d positions and velocities of both galaxies are transformed into a common M31-centric coordinate system to study the detailed orbital histories of the combined M31+NGC147+NGC185 system via numerical orbit integration. We find that NGC147 (NGC185) had its closest passage to M31 0.3-0.5Gyr (&gt;1.6Gyr) within the past 6Gyr at distances of ~70kpc (70-260kpc). The pericentric times of NGC147/NGC185 correlate qualitatively well with the presence/absence of tidal tails seen around the galaxies. Our PMs show that the orbital poles of NGC147, and also NGC185 albeit to a lesser degree, agree within the uncertainties with the normal of the Great Plane of Andromeda (GPoA). These are the first measurements of the 3-d angular momentum vector of any satellite identified as original GPoA members. Our results strengthen the hypothesis that the GPoA may be a dynamically coherent entity. We revisit previous claims that NGC147 and NGC185 are binary galaxies and conclude that it is very unlikely the two galaxies were ever gravitationally bound to each other.
DOI: 10.7910/dvn/rpviju/ctuwvn
title: income_1985_1998.tab

description: :unav
DOI: 10.7910/dvn/rpviju/iccwip
title: key_variables.tab

description: :unav
DOI: 10.7910/dvn/rpviju/io92zb
title: Nuts_2_Mollweide_NASA_synthesis_FINAL.shx

description: :unav
DOI: 10.7910/dvn/rpviju/iym9sb
title: Nuts_2_Mollweide_NASA_synthesis_FINAL.sbn

description: :unav
DOI: 10.7910/dvn/rpviju/lqbzwq
title: income_1991_2004.tab

description: :unav
DOI: 10.7910/dvn/rpviju/s7dhdl
title: stat_with_forest_cover_1.tab

description: :unav
DOI: 10.7910/dvn/rpviju/vfq288
title: FCC_satellitedata_forest_gain_ha.tab

description: :unav
DOI: 10.7910/dvn/rpviju/xsupid
title: Soil_index_data.tab

description: :unav
DOI: 10.7910/dvn/rpviju/ditjmq
title: auto.log

description: :unav
DOI: 10.7910/dvn/rpviju/ekhhtf
title: FCC_satellitedata_loss_type_alloc_ha.tab

description: :unav
DOI: 10.7910/dvn/rpviju/i05jo5
title: Nuts_2_Mollweide_NASA_synthesis_FINAL.shp

description: :unav
DOI: 10.7910/dvn/rpviju/jafyqa
title: FCCproject_identifiers.tab

description: :unav
DOI: 10.7910/dvn/rpviju/lpu3su
title: Nuts_2_Mollweide_NASA_synthesis_FINAL_shp.tab

description: :unav
DOI: 10.5281/zenodo.3859441
title: Quantitative Phosphoproteomics Reveals Cell Alignment and Mitochondrial Length Change under Cyclic Stretching in Lung Cells

description: Supplementary file
DOI: 10.5281/zenodo.3859442
title: Quantitative Phosphoproteomics Reveals Cell Alignment and Mitochondrial Length Change under Cyclic Stretching in Lung Cells

description: Supplementary file
DOI: 10.15151/esrf-es-193743898
title: COVID-19: structural studies of membrane protein E of SARS-CoV-2
DOI: 10.5281/zenodo.3855546
title: Prioritization of barriers that hinders Local Flexibility Market proliferation

description: This dataset contains the prioritization provided by a panel of 15 experts to a set of 28 barriers categories for 8 different roles of the future energy system. A Delphi method was followed and the scores provided in the three rounds carried out are included. The dataset also contains the scripts used to assess the results and the output of this assessment. A list of the information contained in this file is: <strong>data folder</strong>: this folders includes the scores given by the 15 experts in the 3 rounds. Every round is in an individual folder. There is a file per expert that has the scores between -5 (not relevant at all) to 5 (completely relevant) per barrier (rows) and actor (columns). There is also a file with the description of the experts in terms of their position in the company, the type of company and the country. <strong>fig folder</strong>: this folder includes the figures created to assess the information provided by the experts. For each round, the following figures are created (in each respective folder): Boxplot with the distribution of scores per barriers and roles. Heatmap with the mean scores per barriers and roles. Boxplots with the comparison of the different distributions provided by the experts of each group (depending on the keywords) per barrier and role. Heatmap with the mean score per barrier and use case and with the prioritization per barrier and use case. Finally, bar plots with the mean scores differences between rounds and boxplot with comparisons of the scores distributions are also provided. <strong>stat folder</strong>: this folder includes the files with the results of the different statistical assessment carried out. For each round, the following figures are created (in each respective folder): The statistics used to assess the scores (Intraclass correlation coefficient, Inter-rater agreement, Inter-rater agreement p-value, Homogeneity of Variances, Average interquartile range, Standard Deviation of interquartile ranges, Friedman test p-value Average power post hoc) per barrier and per role. The results of the post hoc of the Friedman Test per berries and per roles. The average score per barrier and per role. The mean value of the scores provided by the experts grouped by the keywords per barrier and role. P-value of the comparison of these two values. The end prioritization of the barrier for the use case (averaging the scores or merging the critical sets) Finally, the differences between the mean and standard deviations of the scores between two consecutive rounds are provided.
DOI: 10.5281/zenodo.3855545
title: Prioritization of barriers that hinders Local Flexibility Market proliferation

description: This dataset contains the prioritization provided by a panel of 15 experts to a set of 28 barriers categories for 8 different roles of the future energy system. A Delphi method was followed and the scores provided in the three rounds carried out are included. The dataset also contains the scripts used to assess the results and the output of this assessment. A list of the information contained in this file is: <strong>data folder</strong>: this folders includes the scores given by the 15 experts in the 3 rounds. Every round is in an individual folder. There is a file per expert that has the scores between -5 (not relevant at all) to 5 (completely relevant) per barrier (rows) and actor (columns). There is also a file with the description of the experts in terms of their position in the company, the type of company and the country. <strong>fig folder</strong>: this folder includes the figures created to assess the information provided by the experts. For each round, the following figures are created (in each respective folder): Boxplot with the distribution of scores per barriers and roles. Heatmap with the mean scores per barriers and roles. Boxplots with the comparison of the different distributions provided by the experts of each group (depending on the keywords) per barrier and role. Heatmap with the mean score per barrier weighted depeding on the importance of the role in each use case and the final prioritization. Finally, bar plots with the mean scores differences between rounds and boxplot with comparisons of the scores distributions are also provided. <strong>stat folder</strong>: this folder includes the files with the results of the different statistical assessment carried out. For each round, the following figures are created (in each respective folder): The statistics used to assess the scores (Intraclass correlation coefficient, Inter-rater agreement, Inter-rater agreement p-value, Homogeneity of Variances, Average interquartile range, Standard Deviation of interquartile ranges, Friedman test p-value Average power post hoc) per barrier and per role. The results of the post hoc of the Friedman Test per berries and per roles. The average score per barrier and per role. The mean value of the scores provided by the experts grouped by the keywords per barrier and role. P-value of the comparison of these two values. The end prioritization of the barrier for the use case (averaging the scores or fuzzy merging of the critical sets) Finally, the differences between the mean and standard deviations of the scores between two consecutive rounds are provided.
DOI: 10.14457/tu.res.2009.192
title: ปัจจัยต่อทัศนคติที่มีต่อการยอมรับบริการธนาคารทางอินเทอร์เน็ต
DOI: 10.14457/tu.res.2009.193
title: โครงการผลิตรายการอาหารไทย "สำรับไทยสู่สำรับโลก"
DOI: 10.14457/tu.res.2009.194
title: ศึกษาแนวทางในการแก้ไขปัญหาการใช้งานระบบ ERP ของบริษัทซ่อมบำรุงเครื่องกำเนิดไฟฟ้ากังหันก๊าซแห่งหนึ่ง
DOI: 10.14457/tu.res.2009.195
title: การสำรวจภัยคุกคามทางคอมพิวเตอร์และการรักษาความปลอดภัยข้อมูลสารสนเทศของธนาคารพาณิชย์ในประเทศไทย
DOI: 10.14457/tu.res.2009.196
title: การประเมินผลการดำเนินงานขององค์กรที่มีการนำเอาระบบบริหารคุณภาพห้องปฏิบัติการ มอก. 17025 มาใช้ ด้วยหลักการ balanced scorecard ของห้องปฏิบัติการควบคุมคุณภาพ บริษัท ไบเออร์ไทย จำกัด โรงงานมาบตาพุด
DOI: 10.14457/tu.res.2009.197
title: ปัจจัยที่มีอิทธิพลต่อการยอมรับโปรแกรมสำหรับตรวจสอบสถานีบริการก๊าซ NGV ผ่านเทคโนโลยีโทรศัพท์เคลื่อนที่
DOI: 10.14457/tu.res.2009.198
title: ปัจจัยที่มีผลต่อการตัดสินใจเลือกซื้อกาแฟปรุงสำเร็จชนิดผงทรีอินวันของประชากรในเขตภาคตะวันออกเฉียงเหนือ