cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p908ur17
title: Data Files for USGS Response to Hurricane Maria Flooding in Puerto Rico and Characterization of Peak Streamflows Observed September 20-22, 2017

description: This data release provides topographic (horizontal and vertical) data for 78 sites, surveyed from November 2017 to July 2019 as part of documentation of flooding that occurred in Puerto Rico during and after Hurricane Maria (September to November 2017). Hurricane Maria made landfall the Island of Puerto Rico on September 20, 2017 and was one of the deadliest storms in U.S. history. The U.S. Geological Survey (USGS) personnel conducted topographic surveys at selected stream sites to facilitate hydraulic modeling of peak streamflows (or discharges) &ndash; termed indirect measurements &ndash; using published standard USGS methods and hydraulic modeling studies to establish new stage-discharge relations for sites at which flooding substantially changed [...]
DOI: 10.6084/m9.figshare.20301006
title: dataset_GraniteClassification.csv

description: The data set has around 90 rows each consisting of 12 coloumns that stands of RGB values of Granite. Each of RGB is represented by 4 values respectively in a row. These values are recorded using TCS3200 color sensor on granite peices.The values were recorded by visiting couple of near by granite dealer shops in Hyderabad,Telangana,India.The last column denotes the color of granite and thisacts as a target variable in case of Machine Learning algorithms to predict the color of granite.
DOI: 10.5281/zenodo.6773262
title: HGG-oncohistones processed data

description: The sample names in this dataset match supplementary tables 1 and 2. The tarball contains 4 directories: bulk, scRNA, scATAC, scMultiome The bulk directory contains tsv files. The scRNA, scATAC and scMultiome directories contain subdirectories that have the name of each sample and each sample contains 4 files. See the README.md for a description of all the files.
DOI: 10.5281/zenodo.6827450
title: Optimising bioelectrochemical systems using Hartree HPC Datasets

description: A dataset containing simulation results for the optimising bioelectrochemical systems project. This contains steady-state data packed within TAR files. This data has been extracted and summarised within the CSV files. Data was gathered from adapting the mathematical model for simulation of bioelectrochemical systems published in Day et al 2022, this code will be released upon the submission of JDays thesis in late 2022. Steady-state data is saved as compressed NumPy files and can be extracted using python.
description: {"references": ["Day, Jordan R., Heidrich, Elizabeth S., Wood, Toby S. \"A Scalable model of fluid flow, substrate removal and current production in microbial fuel cells\" Chemosphere 2022"]}
DOI: 10.5281/zenodo.6827449
title: Optimising bioelectrochemical systems using Hartree HPC Datasets

description: A dataset containing simulation results for the optimising bioelectrochemical systems project. This contains steady-state data packed within TAR files. This data has been extracted and summarised within the CSV files. Data was gathered from adapting the mathematical model for simulation of bioelectrochemical systems published in Day et al 2022, this code will be released upon the submission of JDays thesis in late 2022. Steady-state data is saved as compressed NumPy files and can be extracted using python.
description: {"references": ["Day, Jordan R., Heidrich, Elizabeth S., Wood, Toby S. \"A Scalable model of fluid flow, substrate removal and current production in microbial fuel cells\" Chemosphere 2022"]}
DOI: 10.5255/ukda-sn-855825
title: Practices and Combinations of Practices for Health and Wellbeing at Work: Case Studies Data, 2020-2021

description: These are qualitative interview data from seven case studies of organisations implementing workplace health and wellbeing strategies. The data consist of repeat interviews (up to three per participant) conducted over several months. Some 74 participants provided data in 192 interviews. Participants included those responsible for developing and implementing strategies and practices, as well as those who were targets of strategies and practices.
DOI: 10.5281/zenodo.6827561
title: RE-INVEST EnergyPLAN models

description: Scenario files used in RE-INVEST deliverable 3.3
DOI: 10.5281/zenodo.6827560
title: RE-INVEST EnergyPLAN models

description: Scenario files used in RE-INVEST deliverable 3.3
DOI: 10.5517/ccdc.csd.cc25xgk4
title: CCDC 2023356: Experimental Crystal Structure Determination

description: Related Article: Xiaojia Wang, Guiying Qiao, Gaihong Zhu, Jian Li, Xiaoyu Guo, Yu Liang, Yunyin Niu|2021|Environ.Res.|202|111689|doi:10.1016/j.envres.2021.111689
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2614m1
title: CCDC 2026892: Experimental Crystal Structure Determination

description: Related Article: Guo-Ling Li, Zhu Zhuo, Bin Wang, Xue-Li Cao, Hai-Feng Su, Wei Wang, You-Gui Huang, Maochun Hong|2021|J.Am.Chem.Soc.|143|10920|doi:10.1021/jacs.1c01161
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.20055212
title: Ecological security assessment at different spatial scales in central Yunnan Province, China

description: Based on the driving forces, pressure, state, impact, and response (DPSIR) model, five years (1995, 2000, 2005, 2010 and 2015) of remote sensing images, social and economic statistics, and field survey data were used to establish an ecological security assessment index system. The ecological security assessment of central Yunnan Province (CYP) urban agglomeration was conducted at the 1 km × 1 km pixel scale and at the county scale based on the multilevel weighted comprehensive index method. These results can provide a basis for the coordination and sustainability of economic development and environmental protection in urban agglomerations with rapid urbanization.
DOI: 10.6084/m9.figshare.20055212.v3
title: Ecological security assessment at different spatial scales in central Yunnan Province, China

description: Based on the driving forces, pressure, state, impact, and response (DPSIR) model, five years (1995, 2000, 2005, 2010 and 2015) of remote sensing images, social and economic statistics, and field survey data were used to establish an ecological security assessment index system. The ecological security assessment of central Yunnan Province (CYP) urban agglomeration was conducted at the 1 km × 1 km pixel scale and at the county scale based on the multilevel weighted comprehensive index method. These results can provide a basis for the coordination and sustainability of economic development and environmental protection in urban agglomerations with rapid urbanization.
DOI: 10.6084/m9.figshare.20055212.v2
title: Ecological security assessment at different spatial scales in central Yunnan Province, China

description: Based on the driving forces, pressure, state, impact, and response (DPSIR) model, five years (1995, 2000, 2005, 2010 and 2015) of remote sensing images, social and economic statistics, and field survey data were used to establish an ecological security assessment index system. The ecological security assessment of central Yunnan Province (CYP) urban agglomeration was conducted at the 1 km × 1 km pixel scale and at the county scale based on the multilevel weighted comprehensive index method. These results can provide a basis for the coordination and sustainability of economic development and environmental protection in urban agglomerations with rapid urbanization.
DOI: 10.5255/ukda-sn-855241
title: Qualitative Accounts of Changes to School-aged Children’s Diets due to the COVID-19 Pandemic in Rural, Central, Kenya, 2020

description: The COVID-19 pandemic has caused disruption to food security in many countries, including Kenya. However, the impact of this on food provision to children at an individual level is unknown. This small study aimed to provide a qualitative snapshot of the diets of children during the COVID-19 pandemic. During completion of 24-h food recalls, with 15 families with children aged 5–8 years, caregivers were asked about changes they had made to foods given to their children due to the pandemic. Food recalls were analysed to assess nutrient intakes. Qualitative comments were thematically analysed. Most of the families reported making some changes to foods they provided to their children due to COVID-19. Reasons for these changes fell into three themes, inability to access foods (both due to formal restriction of movements and fear of leaving the house), poorer availability of foods, and financial constraints (both decreases in income and increases in food prices). The COVID-19 pandemic has affected some foods parents in rural Kenya can provide to their children.
DOI: 10.5281/zenodo.6827435
title: Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time

description: This RGB-D dataset is part is part of our publication Heindl, Christoph, et al. "Spatio-thermal depth correction of RGB-D sensors based on Gaussian processes in real-time." <em>Tenth International Conference on Machine Vision (ICMV 2017)</em>. Vol. 10696. SPIE, 2018. Our capture setup consists of a RGB-D sensor looking towards a known planar object. The sensor is coupled with an electronic linear axis to adjust distance. We captured data at distances [40cm, 90cm, 10cm steps] in the temperate range of [25°C, 35°C, 1°C steps]. At each temperature/distance tuple we grabbed 50 images from both RGB and IR (aligned with RGB) sensors. We then created an artificial depth map for all RGB images utilizing the known calibration target in sight. For more information visit https://github.com/cheind/rgbd-correction
DOI: 10.5281/zenodo.6827434
title: Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time

description: This RGB-D dataset is part is part of our publication Heindl, Christoph, et al. "Spatio-thermal depth correction of RGB-D sensors based on Gaussian processes in real-time." <em>Tenth International Conference on Machine Vision (ICMV 2017)</em>. Vol. 10696. SPIE, 2018. Our capture setup consists of a RGB-D sensor looking towards a known planar object. The sensor is coupled with an electronic linear axis to adjust distance. We captured data at distances [40cm, 90cm, 10cm steps] in the temperate range of [25°C, 35°C, 1°C steps]. At each temperature/distance tuple we grabbed 50 images from both RGB and IR (aligned with RGB) sensors. We then created an artificial depth map for all RGB images utilizing the known calibration target in sight. For more information visit https://github.com/cheind/rgbd-correction
DOI: 10.6084/m9.figshare.20297118
title: train_dataset_RAW

description: ## 1 FILE CONTENTS ############################################# <br> 2101 x 40010 values: <br> - 1 header row, which corresponds to the 40002 resolved wavelengths and 8 element names (C, Si, Mn, Cr, Mo, Ni, Cu, Fe). <br> - 2100 spectra (rows): 50 spectra of 42 distinct targets. <br> Note that the dataset occupies significantly less RAM when loaded than the file's disk sizes (cca. 50 %). <br> Note that the column names may be modified by the software/library used for processing the spectra. Hence, we advise increased caution when extracting the wavelengths. <br> Alternatively, you can use the wavelength values provided separately in the wavelengths.csv file. <br> ## 2 DATA ACQUISITION ############################################# <br> The dataset was collected from metallic targets. Each target's surface was homogenized using a 800 grid sandpaper and cleaned with isopropyl alcohol using paper towels. <br> The targets were sampled at distinct spots in single-shot mode, collecting a single spectrum from each individual spot. There are a total of 50 spectra available for each target. <br> A 1064 nm Nd:YAG laser was used for ablation with a pulse energy of 95 mJ, 10 ns pulse width. The laser pulse was focused into a spot with a diameter of 0.2 mm. <br> The collected emission was resolved with an echelle spectrograph in the 240--1000 nm spectral range (40002 resolved wavelength values), resolving power {\lambda} / {\Delta\lambda} = 6000. <br> The resolved emission was recorded using an EMCCD camera with a 1.5 us delay and 50 us gate width (exposition time). <br> The spectra were not intensity calibrated! This, in combination with the long gate width is part of the challenge.
DOI: 10.6084/m9.figshare.20301114
title: Datasets for segmentation fusion

description: Segmented results of 3D microscopy images from two segmentation pipelines. P1 is a 3D deep learning pipeline, P2 is a classical 3D watershed pipeline.
DOI: 10.5281/zenodo.6827030
title: PyPSA-Eur Datasets for MyPyPSA-Ger

description: Datasets from PyPSA-Eur model for usage in MyPyPSA-Ger model
DOI: 10.5281/zenodo.6827029
title: PyPSA-Eur Datasets for MyPyPSA-Ger

description: Datasets from PyPSA-Eur model for usage in MyPyPSA-Ger model
DOI: 10.6084/m9.figshare.20297136
title: test_dataset_RAW

description: ## 1 FILE CONTENTS ############################################# <br> 751 x 40003 values: <br> - 1 header row, which corresponds to the 40002 resolved wavelengths and 1 target identifier. <br> - 750 spectra (rows) of the targets whose content is to be predicted: 50 spectra of 15 distinct targets. <br> Note that the dataset occupies significantly less RAM when loaded than the file's disk sizes (cca. 50 %). <br> Note that the column names may be modified by the software/library used for processing the spectra. Hence, we advise increased caution when extracting the wavelengths. <br> Alternatively, you can use the wavelength values provided separately in the wavelengths.csv file. <br> Note that the target identifier column is a character vector of the format "target_i", i = {1,2,...,15}. Thus, we recommended loading in the dataset as a dataframe instead of a matrix (a dataframe can contain both numeric and character values). <br> ## 2 DATA ACQUISITION ############################################# <br> The dataset was collected from metallic targets. Each target's surface was homogenized using a 800 grid sandpaper and cleaned with isopropyl alcohol using paper towels. <br> The targets were sampled at distinct spots in single-shot mode, collecting a single spectrum from each individual spot. There are a total of 50 spectra available for each target. <br> A 1064 nm Nd:YAG laser was used for ablation with a pulse energy of 95 mJ, 10 ns pulse width. The laser pulse was focused into a spot with a diameter of 0.2 mm. <br> The collected emission was resolved with an echelle spectrograph in the 240--1000 nm spectral range (40002 resolved wavelength values), resolving power {\lambda} / {\Delta\lambda} = 6000. <br> The resolved emission was recorded using an EMCCD camera with a 1.5 us delay and 50 us gate width (exposition time). <br> The spectra were not intensity calibrated! This, in combination with the long gate width is part of the challenge.
DOI: 10.5066/p94okx6s
title: Data for Models Estimating Baseflow for Streams Containing Endangered Atlantic Salmon in Maine, USA

description: The U.S. Geological Survey (USGS) developed a regression model for estimating August mean baseflow per square mile of drainage area to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat. The model was derived from August mean baseflows computed at 31 USGS streamgages in and near the Gulf of Maine Atlantic Salmon Habitat Recovery Units. An ordinary least squares regression model estimates August mean baseflow per unit drainage area using two explanatory variables: percentage of the basin underlain by sand and gravel aquifers, and the basin mean July precipitation. This model provides the means to estimate August mean baseflow in cubic feet per second per square mile of basin area on user-selected ungaged sites throughout Maine south of 46 degrees 21'55&amp;amp;amp;amp;quot; N latitude. Estimates will support prioritization of habitat conservation and restoration work for those reaches that offer baseflow refugia during summer low-flow periods, and thus have the potential to be high-quality Atlantic Salmon habitat. This data release includes the excel file ?Data_Tables.xlsx,? which consists of three tables of data used in the development of the regression model. The data release also includes two child pages that contain (1) data for average July precipitation in Maine for 1981-2010 and (2) estimated boundaries of sand and gravel aquifers in Maine.
DOI: 10.25919/5zad-j253
title: Parkes observations for project P1128 semester 2022APRS_05

description: This proposal requests 4 hours to carry out regular monitoring an eclipsing binary millisecond pulsar in the globular cluster NGC 6397, which we discovered with the Parkes UWL.
DOI: 10.25919/m3s0-7a36
title: Parkes observations for project PX500 semester 2022APRS_15

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5281/zenodo.6827681
title: Eight archetypes of Sustainable Development Goal (SDG) synergies and trade-offs

description: Data S1 - Details of system archetype application articles reviewed systematically.
DOI: 10.5281/zenodo.6827680
title: Eight archetypes of Sustainable Development Goal (SDG) synergies and trade-offs

description: Data S1 - Details of system archetype application articles reviewed systematically.
DOI: 10.5281/zenodo.6827706
title: YALTAi: Tabular Dataset

description: This dataset has been built to train a segmentation model. It contains ALTO and YOLOv5 formats This dataset is derived from the LECTAUREP Dataset + a few hundred newly annotated data, specifically the test set which is completely novel and based on early prints and manuscripts.
description: {"references": ["LECTAUREP, ., Rostaing, A., Durand, M., & Chagu\u00e9, A. (2021). Notaires de Paris - R\u00e9pertoires, ground truth for various Parisian registries of notary deeds (French 19th and 20th centuries) (Version 2.0.0) [Computer software]. https://doi.org/10.5072/zenodo.977691"]}
DOI: 10.5281/zenodo.6827705
title: YALTAi: Tabular Dataset

description: This dataset has been built to train a segmentation model. It contains ALTO and YOLOv5 formats This dataset is derived from the LECTAUREP Dataset + a few hundred newly annotated data, specifically the test set which is completely novel and based on early prints and manuscripts.
description: {"references": ["LECTAUREP, ., Rostaing, A., Durand, M., & Chagu\u00e9, A. (2021). Notaires de Paris - R\u00e9pertoires, ground truth for various Parisian registries of notary deeds (French 19th and 20th centuries) (Version 2.0.0) [Computer software]. https://doi.org/10.5072/zenodo.977691"]}
DOI: 10.5281/zenodo.6827621
title: Alb500 dataset sample

description: A sample of the Alb500 simulation dataset. The size of this dataset is 6TB and it can be available under request to the author.
DOI: 10.5281/zenodo.6827620
title: Alb500 dataset sample

description: A sample of the Alb500 simulation dataset. The size of this dataset is 6TB and it can be available under request to the author.
DOI: 10.5066/p9euvt4e
title: Spatial Hydro-Ecological Decision System Summarized PRISM 30-year Normal Precipitation and Temperature Data for SHEDS Region 2

description: This data release is a summarization within the USGS Spatial Hydro-Ecological Decision System (SHEDS) framework of the Oregon State University PRISM Climate Group 30-year normal 800 meter resolution monthly, minimum and maximum temperature data and monthly precipitation data between 1991 and 2020. The output is a table consisting of the summarized values of these continuous variables for each local SHEDS catchment within the SHEDS Hydro-Region 2 along with a table of these variables individually processed through an upstream accumulation method for each catchment in SHEDS Region 2. This upstream accumulation method takes the local and upstream catchment values for a particular catchment, individually weighs them by the ratio of their [...]
DOI: 10.1184/r1/13330805
title: Future 24-hour Depth-Duration-Frequency curves for selected U.S. cities

description: Extreme rainfall events can lead to catastrophic consequences such as widespread property damage or loss of lives. In engineering design, we take into account different characteristics of extreme events, such as average recurrence interval, duration and volume of rainfall delivered. We have so far relied on historical rainfall observations to estimate these characteristics, however, there is evidence that rainfall patterns in the future will look different from the past. Global Climate Models can be used to understand to some extent, the magnitude of these changes. <br><br>In this repository, we provide updated rainfall volumes for 24-hour duration storms using 5 different downscaled climate model datasets and for selected cities in the United States. For more information on the update process, please refer to the associated publication of this dataset.
DOI: 10.1184/r1/13330805.v1
title: Future 24-hour Depth-Duration-Frequency curves for selected U.S. cities

description: Extreme rainfall events can lead to catastrophic consequences such as widespread property damage or loss of lives. In engineering design, we take into account different characteristics of extreme events, such as average recurrence interval, duration and volume of rainfall delivered. We have so far relied on historical rainfall observations to estimate these characteristics, however, there is evidence that rainfall patterns in the future will look different from the past. Global Climate Models can be used to understand to some extent, the magnitude of these changes. <br><br>In this repository, we provide updated rainfall volumes for 24-hour duration storms using 5 different downscaled climate model datasets and for selected cities in the United States. For more information on the update process, please refer to the associated publication of this dataset.
DOI: 10.5281/zenodo.6827736
title: Mortality data from an intensive swine production system

description: The present data was generated in a study conducted to investigate the risk factors and causes of sow mortality. A post-mortem examination and microbiological investigation were conducted on 123 sows from a breeding herd with 15,000 dams located in Brazilian Midwest (Mato-Grosso State).
DOI: 10.5281/zenodo.6633618
title: Mortality data from an intensive swine production system

description: The present data was generated in a study conducted to investigate the risk factors and causes of sow mortality. A post-mortem examination and microbiological investigation were conducted on 123 sows from a breeding herd with 15,000 dams located in Brazilian Midwest (Mato-Grosso State).