cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21591153
title: Data from: Challenges of mismatching timescales in longitudinal studies of collective behaviour

description: Datasets and R scripts for the analysis in Ogino M, Strauss E, Farine D. 2022. Challenges of mismatching timescales in longitudinal studies of collective behaviour (doi.org/10.1098/rstb.2022.0064). <br> <br> 20201001_20201031, 20201101_20201130, 10101201_20211231, 20210101_20210131, 20210201_20210228, 20210301_20210331: files containing daily averaged GPS pairwise distance between males for each month <br> Seasons_Monthly.csv: dataset containing the metadata for each sampling periods <br> Census.Rdata: dataset (list) with dataframes for individual metadata (data$Birds) and census observation data (data$ind_obs, data$grp_obs). The grp_obs dataframe contains the metadata for the ind_obs dataset. <br> Script1_GroupDetection.r: code to detect group memberships over time, using different approaches <br> Script2_GPSpairwisedistance.R: code to produce the boxplot showing averaged GPS pairwise distances within detected communities and GLM to quantify how methodological processes applied in different approaches drive differences in cohesiveness of detected groups. This code requires the outputs of Script1. <br> Script3_GroupSize.R: code to produce the boxplots showing the distribution of detected social unit sizes and Jaccard similarity between social units in consecutive sampling periods, and GLM to quantidy how methodological processes drive differences in group size and Jaccard similarity. This code requires the outputs of Script1 and Script2.
DOI: 10.6084/m9.figshare.21591153.v1
title: Data from: Challenges of mismatching timescales in longitudinal studies of collective behaviour

description: Datasets and R scripts for the analysis in Ogino M, Strauss E, Farine D. 2022. Challenges of mismatching timescales in longitudinal studies of collective behaviour (doi.org/10.1098/rstb.2022.0064). <br> <br> 20201001_20201031, 20201101_20201130, 10101201_20211231, 20210101_20210131, 20210201_20210228, 20210301_20210331: files containing daily averaged GPS pairwise distance between males for each month <br> Seasons_Monthly.csv: dataset containing the metadata for each sampling periods <br> Census.Rdata: dataset (list) with dataframes for individual metadata (data$Birds) and census observation data (data$ind_obs, data$grp_obs). The grp_obs dataframe contains the metadata for the ind_obs dataset. <br> Script1_GroupDetection.r: code to detect group memberships over time, using different approaches <br> Script2_GPSpairwisedistance.R: code to produce the boxplot showing averaged GPS pairwise distances within detected communities and GLM to quantify how methodological processes applied in different approaches drive differences in cohesiveness of detected groups. This code requires the outputs of Script1. <br> Script3_GroupSize.R: code to produce the boxplots showing the distribution of detected social unit sizes and Jaccard similarity between social units in consecutive sampling periods, and GLM to quantidy how methodological processes drive differences in group size and Jaccard similarity. This code requires the outputs of Script1 and Script2.
DOI: 10.3886/b7g5-bj49
title: El Salvador Investment Compact - Investment Climate: Design Report
DOI: 10.3886/nchk-qv21
title: El Salvador Investment Compact - Investment Climate: Design Report
DOI: 10.6084/m9.figshare.21591867.v1
title: Notícias por conteúdo

description: Dataset composto das 85 notícias analisadas organizadas em diferentes pastas de acordo com a categoria da análise de conteúdo que lhe foi atribuída. As 85 notícias foram veiculadas entre 2010 e junho de 2022 no site oficial da Força Aérea Brasileira (fab.mil.br) e mencionam as palavras “Heron” (2 notícias), “Hermes” (32 notícias), “RQ-1150” (2 notícias), “RQ-900” (28 notícias) ou “RQ-450” (21 notícias), que são os modelos de Aeronaves Remotamente Pilotadas importadas e suas designações ao serem incorporadas pela Força.
DOI: 10.5519/qd.wyjn01o2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5365254 records)
DOI: 10.21227/7fda-2d79
title: OneToMany_ToolSynSeg

description: Data diversity and volume are crucial to the success of training deep learning models, while in the medical imaging field, the difficulty and cost of data collection and annotation are especially huge. Specifically in robotic surgery, data scarcity and imbalance have heavily affected the model accuracy and limited the design and deployment of deep learning-based surgical applications such as surgical instrument segmentation. Considering this, we rethink the surgical instrument segmentation task and propose a one-to-many data generation solution that gets rid of the complicated and expensive process of data collection and annotation from robotic surgery. In our method, we only utilize a single surgical background tissue image and a few open-source instrument images as the seed images and apply multiple augmentations and blending techniques to synthesize amounts of image variations. In addition, we also introduce the chained augmentation mixing during training to further enhance the data diversities. The proposed approach is evaluated on the real datasets of the EndoVis-2018 and EndoVis-2017 surgical scene segmentation. Our empirical analysis suggests that without the high cost of data collection and annotation, we can achieve decent surgical instrument segmentation performance. Moreover, we also observe that our method can deal with novel instrument prediction in the deployment domain. We hope our inspiring results will encourage researchers to emphasize data-centric methods to overcome demanding deep learning limitations besides data shortage, such as class imbalance, domain adaptation, and incremental learning.
DOI: 10.5519/qd.iz4p3eer
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.7342443
title: Housing-price

description: Dataset de los precios de venta de inmuebles en el área geográfica de la provincia de Madrid, distribuido por zonas.
DOI: 10.5281/zenodo.7342442
title: Housing-price

description: Dataset de los precios de venta de inmuebles en el área geográfica de la provincia de Madrid, distribuido por zonas.
DOI: 10.5281/zenodo.7339984
title: Atmospheric river contributions to ice sheet hydroclimate at the Last Glacial Maximum

description: This dataset contains the atmospheric river catalogues and the associated precipitation and temperature data for the Preindustrial and Last Glacial Maximum CESM2 simulations presented in the GRL manuscript: Atmospheric river contributions to ice sheet hydro climate at the Last Glacial Maximum. The atmospheric river catalogue files (zipped) are in netcdf format and organized by year. There are 100 years of data for both simulations. The Preindustrial simulation catalogue begins in model year 41 and ends in model year 140. The LGM simulation catalogue begins in model year 1 and ends in year 100. Each yearly file has a temporal resolution of 6 hours (1460 time steps each file) and a spatial resolution of 0.9° x 1.25° (the native resolution of the CESM simulation). A variable in the file called "ar_binary_tag" indicates whether an atmospheric river is present at each grid cell and each tilmestep: 1 indicates an atmospheric river is present; 0 indicates an atmospheric river is not present. The precipitation and temperature files are 100-year annual or 100-year seasonal averages of atmospheric river precipitation/temperature. See the Methods section of the article for more details on the atmospheric river detection algorithm and precipitation/temperature calculations. Associated article abstract: Atmospheric rivers (ARs) are an important driver of surface mass balance over today’s Greenland and Antarctic ice sheets. Using paleoclimate simulations with the Community Earth System Model, we find ARs also had a key influence on the extensive ice sheets of the Last Glacial Maximum (LGM). ARs provide up to 53% of total precipitation along the margins of the eastern Laurentide ice sheet and up to 22-27% of precipitation along the margins of the Patagonian, western Cordilleran, and western Fennoscandian ice sheets. Despite overall cold conditions at the LGM, surface temperatures during AR events are often above freezing, resulting in more rain than snow along ice sheet margins and conditions that promote surface melt. The results suggest ARs may have had an important role in ice sheet growth and melt during previous glacial periods and may have accelerated ice sheet retreat following the LGM.
description: Funded by the National Science Foundation Awards: 1903600 and 1903528
DOI: 10.5281/zenodo.7339985
title: Atmospheric river contributions to ice sheet hydroclimate at the Last Glacial Maximum

description: This dataset contains the atmospheric river catalogues and the associated precipitation and temperature data for the Preindustrial and Last Glacial Maximum CESM2 simulations presented in the GRL manuscript: Atmospheric river contributions to ice sheet hydro climate at the Last Glacial Maximum. The atmospheric river catalogue files (zipped) are in netcdf format and organized by year. There are 100 years of data for both simulations. The Preindustrial simulation catalogue begins in model year 41 and ends in model year 140. The LGM simulation catalogue begins in model year 1 and ends in year 100. Each yearly file has a temporal resolution of 6 hours (1460 time steps each file) and a spatial resolution of 0.9° x 1.25° (the native resolution of the CESM simulation). A variable in the file called "ar_binary_tag" indicates whether an atmospheric river is present at each grid cell and each tilmestep: 1 indicates an atmospheric river is present; 0 indicates an atmospheric river is not present. The precipitation and temperature files are 100-year annual or 100-year seasonal averages of atmospheric river precipitation/temperature. See the Methods section of the article for more details on the atmospheric river detection algorithm and precipitation/temperature calculations. Associated article abstract: Atmospheric rivers (ARs) are an important driver of surface mass balance over today’s Greenland and Antarctic ice sheets. Using paleoclimate simulations with the Community Earth System Model, we find ARs also had a key influence on the extensive ice sheets of the Last Glacial Maximum (LGM). ARs provide up to 53% of total precipitation along the margins of the eastern Laurentide ice sheet and up to 22-27% of precipitation along the margins of the Patagonian, western Cordilleran, and western Fennoscandian ice sheets. Despite overall cold conditions at the LGM, surface temperatures during AR events are often above freezing, resulting in more rain than snow along ice sheet margins and conditions that promote surface melt. The results suggest ARs may have had an important role in ice sheet growth and melt during previous glacial periods and may have accelerated ice sheet retreat following the LGM.
description: Funded by the National Science Foundation Awards: 1903600 and 1903528
DOI: 10.25934/pr00008596
title: Global Research on Antimicrobial Resistance (GRAM) - Phase 2 (request 2)

description: The second phase of the GRAM project will build on the foundation of the first phase of the project, to standardise the measurement and deepen our understanding of the burden
caused by drug resistant infections (DRI) and of its longitudinal dynamics, variations across geographic distribution, and clinical impact. Having quality data and globally agreed
estimates of AMR burden is a critical first step to changing the global approach to their prevention and management. To amplify the impact of the results, increase sustainable
creation of them, and to enable valuable comparisons with other causes of disease burden, we aim to more seamlessly align and integrate this work into the over-arching GBD
enterprise. In addition, we will leverage the foundation built during GRAM-1 and strengthen our links with partners to address critically important research and policy questions.
Lastly, tailored capacity building in priority LMICs with particular emphasis on longitudinal AMR data collection and analysis will be essential.
DOI: 10.6084/m9.figshare.21593547
title: In-depth Assessment of Iraqi physicians' Adherence to Treatment Guidelines for Different Diseases

description: This file includes the responses of the participating physicians to the interview questions about their expereince with the implementation of treatment guideline in Iraqi public Hospital
DOI: 10.6084/m9.figshare.21593547.v1
title: In-depth Assessment of Iraqi physicians' Adherence to Treatment Guidelines for Different Diseases

description: This file includes the responses of the participating physicians to the interview questions about their expereince with the implementation of treatment guideline in Iraqi public Hospital
DOI: 10.6084/m9.figshare.19929974
title: RC04.zip

description: Sample data for quasi periodic signal (superposition of sine waves; angular frequency ratio equals golden number)
DOI: 10.21227/3sjr-xw90
title: IIR-LSTM GPS data

description: The GPS datasets that are used in the paper entitled 'A Wireless Time Series Forecast Model Based on IIR Filter De-noising and LSTM', GPS 1 and GPS 2 are used to caculated the gps distance errors.
DOI: 10.6084/m9.figshare.19929974.v3
title: RC04.zip

description: Sample data for quasi periodic signal (superposition of sine waves; angular frequency ratio equals golden number)
DOI: 10.6084/m9.figshare.19929968
title: RC03.zip

description: Sample data for quasi periodic signal (superposition of sine waves; angular frequency ratio equals PI)
DOI: 10.6084/m9.figshare.19929968.v3
title: RC03.zip

description: Sample data for quasi periodic signal (superposition of sine waves; angular frequency ratio equals PI)
DOI: 10.3886/weg3-e891
title: Lesotho Compact - Health Care Centers and ART Clinic Infrastructure: Baseline Data Set
DOI: 10.3886/y4p8-qc85
title: Lesotho Compact - Health Care Centers and ART Clinic Infrastructure: Baseline Data Set
DOI: 10.6084/m9.figshare.19929791
title: C2LinearFading02.zip

description: Sample data from dumped system (fast fading signals)
DOI: 10.6084/m9.figshare.19929791.v2
title: C2LinearFading02.zip

description: Sample data from dumped system (fast fading signals)
DOI: 10.3886/p03s-hz49
title: Lesotho Compact - Urban and Peri-Urban Water: Design Report
DOI: 10.3886/qjpn-5m68
title: Lesotho Compact - Urban and Peri-Urban Water: Design Report
DOI: 10.3886/9egs-fp58
title: Lesotho Compact - Health Care Centers and ART Clinic Infrastructure: Design Report
DOI: 10.3886/6e2r-2469
title: Lesotho Compact - Health Care Centers and ART Clinic Infrastructure: Design Report
DOI: 10.5281/zenodo.7342464
title: Datasets of Yin et al., Adv. Physics Res. 2022

description: Compilation of the datasets used to generate the figures in the following journal publication: "Tailoring Permanent Charge Carrier Densities in Epitaxial Graphene on SiC by Functionalization with F4-TCNQ" by Yefei Yin, Atasi Chatterjee, Davood Momeni, Mattias Kruskopf, Martin Götz, Stefan Wundrack, Frank Hohls, Klaus Pierz, and Hans W. Schumacher, Adv. Physics Res. 2022, DOI: 10.1002/apxr.202200015
description: This work was supported in part by the Joint Research Project GIQS (18SIB07). This project received funding from the European Metrology programme for Innovation and Research (EMPIR) co-financed by the Participating States and from the European Unions' Horizon 2020 research and innovation programme. Funder ID: 10.13039/100014132, Grant no: 18SIB07 GIQS.
DOI: 10.5281/zenodo.7342463
title: Datasets of Yin et al., Adv. Physics Res. 2022

description: Compilation of the datasets used to generate the figures in the following journal publication: "Tailoring Permanent Charge Carrier Densities in Epitaxial Graphene on SiC by Functionalization with F4-TCNQ" by Yefei Yin, Atasi Chatterjee, Davood Momeni, Mattias Kruskopf, Martin Götz, Stefan Wundrack, Frank Hohls, Klaus Pierz, and Hans W. Schumacher, Adv. Physics Res. 2022, DOI: 10.1002/apxr.202200015
description: This work was supported in part by the Joint Research Project GIQS (18SIB07). This project received funding from the European Metrology programme for Innovation and Research (EMPIR) co-financed by the Participating States and from the European Unions' Horizon 2020 research and innovation programme. Funder ID: 10.13039/100014132, Grant no: 18SIB07 GIQS.
DOI: 10.6084/m9.figshare.19929746
title: C2LinearFading01.zip

description: Sample date from dumped system (slow fading signals)
DOI: 10.6084/m9.figshare.19929746.v2
title: C2LinearFading01.zip

description: Sample date from dumped system (slow fading signals)
DOI: 10.34740/kaggle/dsv/4558290
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.19928027
title: C1LinearOscBooming01.zip

description: Sample data for rising oscillator (fast oscillations)
DOI: 10.6084/m9.figshare.19928027.v2
title: C1LinearOscBooming01.zip

description: Sample data for rising oscillator (fast oscillations)
DOI: 10.5281/zenodo.7342498
title: Data for Apalachicola Bay oyster demographic analysis

description: Processed data describing the number and lengths of oysters sampled from long-term fisheries independent sampling in Apalachicola Bay, Florida. Original (raw) data collected by Florida Fish and Wildlife Conservation Commission and Florida Department of Agriculture and Consumer Services.
description: Raw data provided by Florida Fish and Wildlife Conservation Commission (FWC) Fish and Wildlife Research Institute (FWRI) scientists Ryan Gandy and Matthew Davis. Project funded by FWC award 20138-2101.
DOI: 10.3886/e179422
title: Data and Code for: A Thousand Cuts: Cumulative Lead Exposure Reduces Academic Achievement

description: We study how ambient lead exposure impacts learning in elementary school by leveraging a natural experiment where a large national automotive racing organization switched from leaded to unleaded fuel. We find increased levels and duration of exposure to lead negatively affect academic performance, shift the entire academic performance distribution, and negatively impact both younger and older children. The average treated student in our setting has an expected income reduction of $5,200 in present value terms. Avoiding said treatment has an effect size similar to improving teacher value added by one-fourth of a standard deviation, reducing class size by 3 students, or increasing school spending per pupil by $750. The marginal impacts of lead are larger in impoverished, non-white counties, and among students with greater duration of exposure, even after controlling for the total quantity of exposure.
DOI: 10.3886/e179422v1
title: Data and Code for: A Thousand Cuts: Cumulative Lead Exposure Reduces Academic Achievement

description: We study how ambient lead exposure impacts learning in elementary school by leveraging a natural experiment where a large national automotive racing organization switched from leaded to unleaded fuel. We find increased levels and duration of exposure to lead negatively affect academic performance, shift the entire academic performance distribution, and negatively impact both younger and older children. The average treated student in our setting has an expected income reduction of $5,200 in present value terms. Avoiding said treatment has an effect size similar to improving teacher value added by one-fourth of a standard deviation, reducing class size by 3 students, or increasing school spending per pupil by $750. The marginal impacts of lead are larger in impoverished, non-white counties, and among students with greater duration of exposure, even after controlling for the total quantity of exposure.
DOI: 10.25573/data.21422193.v1
title: BHL Optical Character Recognition (OCR) - Full Text Export (new)

description: A full export of the 60+ million pages of OCR content in the Biodiveristy Heritage Library.
DOI: 10.3886/g0vx-6f19
title: Malawi Compact - Environment and Natural Resources Management: Final Analysis Report Vol 1
DOI: 10.3886/qre1-se90
title: Malawi Compact - Environment and Natural Resources Management: Final Analysis Report Vol 1
DOI: 10.6084/m9.figshare.21593949
title: Additional file 10 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 10: Supplementary Table 9.
DOI: 10.6084/m9.figshare.21593949.v1
title: Additional file 10 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 10: Supplementary Table 9.
DOI: 10.6084/m9.figshare.21593952
title: Additional file 11 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 11: Supplementary Table 10.
DOI: 10.6084/m9.figshare.21593952.v1
title: Additional file 11 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 11: Supplementary Table 10.
DOI: 10.6084/m9.figshare.21593955
title: Additional file 12 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 12: Supplementary Table 11.
DOI: 10.6084/m9.figshare.21593955.v1
title: Additional file 12 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 12: Supplementary Table 11.
DOI: 10.6084/m9.figshare.21593958
title: Additional file 13 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 13: Supplementary Table 12.
DOI: 10.6084/m9.figshare.21593958.v1
title: Additional file 13 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 13: Supplementary Table 12.
DOI: 10.6084/m9.figshare.21593961
title: Additional file 14 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 14: Supplementary Table 13.
DOI: 10.6084/m9.figshare.21593961.v1
title: Additional file 14 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 14: Supplementary Table 13.
DOI: 10.6084/m9.figshare.21593964
title: Additional file 15 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 15: Supplementary Table 14.
DOI: 10.6084/m9.figshare.21593964.v1
title: Additional file 15 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 15: Supplementary Table 14.
DOI: 10.6084/m9.figshare.21593967
title: Additional file 16 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 16: Supplementary Table 15.
DOI: 10.6084/m9.figshare.21593967.v1
title: Additional file 16 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 16: Supplementary Table 15.
DOI: 10.6084/m9.figshare.21593970
title: Additional file 17 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 17: Supplementary Table 16.
DOI: 10.6084/m9.figshare.21593970.v1
title: Additional file 17 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 17: Supplementary Table 16.
DOI: 10.6084/m9.figshare.21593979
title: Additional file 2 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 2: Supplementary Table 1.
DOI: 10.6084/m9.figshare.21593979.v1
title: Additional file 2 of Whole-genome analysis of monozygotic Brazilian twins discordant for type 1 narcolepsy: a case report

description: Additional file 2: Supplementary Table 1.