cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10836269
title: YJMob100K: City-Scale and Longitudinal Dataset of Anonymized Human Mobility Trajectories

description: The YJMob100K human mobility datasets (YJMob100K_dataset1.csv.gz and YJMob100K_dataset1.csv.gz) contain the movement of a total of 100,000 individuals across a 75 day period, discretized into 30-minute intervals and 500 meter grid cells. The first dataset contains the movement of 80,000 individuals across a 75-day business-as-usual period, while the second dataset contains the movement of 20,000 individuals across a 75-day period (including the last 15 days during an emergency) with unusual behavior. 

While the name or location of the city is not disclosed, the participants are provided with points-of-interest (POIs; e.g., restaurants, parks) data for each grid cell (~85 dimensional vector) as supplementary information (cell_POIcat.csv.gz). The list of 85 POI categories can be found in POI_datacategories.csv. 

For details of the dataset, see Data Descriptor: 



Yabe, T., Tsubouchi, K., Shimizu, T., Sekimoto, Y., Sezaki, K., Moro, E., & Pentland, A. (2024). YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories. Scientific Data, 11(1), 397. https://www.nature.com/articles/s41597-024-03237-9  


 

 

--- Details about the Human Mobility Prediction Challenge 2023 (ended November 13, 2023) --- 

The challenge takes place in a mid-sized and highly populated metropolitan area, somewhere in Japan. The area is divided into 500 meters x 500 meters grid cells, resulting in a 200 x 200 grid cell space.

The human mobility datasets (task1_dataset.csv.gz and task2_dataset.csv.gz) contain the movement of a total of 100,000 individuals across a 90 day period, discretized into 30-minute intervals and 500 meter grid cells. The first dataset contains the movement of a 75 day business-as-usual period, while the second dataset contains the movement of a 75 day period during an emergency with unusual behavior.

There are 2 tasks in the Human Mobility Prediction Challenge.

In task 1, participants are provided with the full time series data (75 days) for 80,000 individuals, and partial (only 60 days) time series movement data for the remaining 20,000 individuals (task1_dataset.csv.gz). Given the provided data, Task 1 of the challenge is to predict the movement patterns of the individuals in the 20,000 individuals during days 60-74. Task 2 is similar task but uses a smaller dataset of 25,000 individuals in total, 2,500 of which have the locations during days 60-74 masked and need to be predicted (task2_dataset.csv.gz).

While the name or location of the city is not disclosed, the participants are provided with points-of-interest (POIs; e.g., restaurants, parks) data for each grid cell (~85 dimensional vector) as supplementary information (which is optional for use in the challenge) (cell_POIcat.csv.gz).

For more details, see https://connection.mit.edu/humob-challenge-2023
DOI: 10.5281/zenodo.11076525
title: Global Reservoir Flood Storage Capacity Data

description: We generate a global reservoir flood storage capacity data.
DOI: 10.5281/zenodo.12522617
title: Data for "Bar to bank height ratio sets bank erosion  rate"

description: CaseA1_Q20Zbar15Zbank35_initial.csv ~ CaseB6_Q30Zbar45Zbank45_last.csv: Survey data of riverbed topography at the beginning of the experiment (_initial.csv) and at the end of the experiment (_last.csv). The first line of each file indicates the number of measurement points, and the second and subsequent lines indicate the x, y, and z coordinates.

velocity results.zip: Results of flow velocity analysis using iRIC Nays2DH. The ipro files stored in the zip can be opened by installing the free software "iRIC" (https://i-ric.org/en/). Please refer to the manual and the examples (https://i-ric.org/en/solvers/nays2dh/) for how to view calculation results and calculation conditions.

bar height and near bank velocity.xlsx: Table on bar height and near-bank velocity for each case.
DOI: 10.5281/zenodo.13838346
title: Seasonal and altitude dependence of thermospheric metastable helium densities measured by fluorescence lidar: lidar dataset

description: These are NetCDF files containing lidar return data from the helium fluorescence lidar described in the referenced paper (doi to be added). The data contain the following variables:

The data have one of two possible formats. For files beginning '2023', the instrument was operated in single frequency mode, and the files contain the following fields:

 'photons_chX' with X between 0 and 11 - A Nx3000 array of detected photon counts binned into N 10-second intervals in time and 3000 2-km bins in altitude. Note that only the first 1000 bins in the second axis contain data, up to an altitude of 2000 km; the arrays are then padded with zeros.

 'shots_chX' with X between 0 and 11 - An array of length N with the number of laser pulses fired during the corresponding interval.

 'time_offset' - A single value, giving the unix timestamp relative to which the 'time' variable is measured.

'time' - An array of length N with the midpoint time in milliseconds of the corresponding interval, measured relative to the 'time_offset'.

'altitude' - An array of length 3000 with the lower edges of the corresponding altitude bins, in meters.

For files beginning '2024', the instrument was operated in multi-frequency mode, and the files contain the following fields:

'photons_chX' with X between 0 and 11 - A 41xNx3000 array of detected photon counts binned into 41 1-pm bins in wavelength, N 10-s intervals in time, and 3000 2-km bins in altitude. Note that only the first 600 bins in the third axis contain data, up to an altitude of 1200 km; the arrays are then padded with zeros.

 'shots_chX' with X between 0 and 11 - A 41xN array with the number of laser pulses fired with the corresponding wavelength during the corresponding interval.

'wavelength' - An array of length 41 giving the central wavelength of each wavelength bin.

 'time_offset' - A single value, giving the unix timestamp relative to which the 'time' variable is measured.

'time' - An array of length N with the midpoint time in milliseconds of the corresponding interval, measured relative to the 'time_offset'.

'altitude' - An array of length 3000 with the lower edges of the corresponding altitude bins, in meters.

 

Note that this is a standardized data format used by many instruments; it contains several other variable fields that are not used by the present instrument and are therefore omitted from this description.
DOI: 10.5281/zenodo.14271199
title: Dataset for Prolonged storage of bound organic carbon in wetland but not upland soils: A 13C and 14C perspective
DOI: 10.5281/zenodo.14292571
title: ChinaPV: the spatial distribution of solar photovoltaic installation dataset across China in 2015 and 2020

description: Solar energy is the most common renewable energy source that is clean, safe, and inexhaustible. Photovoltaic (PV) technology utilizes solar panels to convert solar energy into electricity. The number of PV installations has rapidly increased worldwide.

In this study, we employed the random forest classifier to extracted PV installations throughout China in 2015 and 2020 using Landsat-8 imagery based on the Google Earth Engine platform. The classification results were further visually inspected and refined by morphological filtering, cavity filling as well as manual contour adjustment. Validation analysis revealed that the resulting dataset achieved an overall accuracy over 96% for both 2015 and 2020. 

"ChinaPV" contains the specific location as well as the size of each PV installation. This study generated two vectorized soloar PV installation maps in China for the year 2015 and 2020. It includes the location, size, and perimeter of each PV installation. It also shows which province is each PV installed and whether it is located in urban areas or rural areas. ChinaPV is delivered in “ESRI Shapefile” formats in WGS-84 coordinate system. The attributes table of the PV polygons include the PV polygon ID, latitude and longitude coordinates of the centre point in each PV installation, the area (km2) and perimeter (km) of each PV, the name of province this PV locates, as well as whether this PV is located in urban or rural areas. 

Users can employ our ChinaPV dataset in 1) analysing the spatial and temporal patterns of PV installation across China and in different administrative provinces; (2) analysing the spatial and temporal patterns of PV installation over different land cover and land use types; (3) collecting PV samples to train a deep learning model; (4) estimating the generated electricity and carbon mitigation effect from solar PV; (5) evaluating the environmental impact of PV on hydrology and local climate.
DOI: 10.5281/zenodo.14511961
title: Functional Ultrasound Imaging of Auditory Responses in Comatose Patients

description: The raw data for the paper "Functional Ultrasound Imaging of Auditory Responses in Comatose Patients".
DOI: 10.5281/zenodo.2621957
title: S6 | ITNANTIBIOTIC | Antibiotic List: ITN MSCA ANSWER

description: This is the collection associated with list S6 ITNANTIBIOTIC on the NORMAN Suspect List Exchange. https://www.norman-network.com/nds/SLE/ S6 | ITNANTIBIOTIC | <strong>Antibiotic List: ITN MSCA ANSWER</strong> Antibiotic CSV, XLSX (3/10/2017) CompTox ITN ANTIBIOTIC List Antibiotic InChIKeys (16/06/2016) A list of antibiotics compiled by Nikiforos Alygizakis (EI/Uni Athens).
DOI: 10.6084/m9.figshare.28061504
title: Supplementary Material for: The novel SSTR3 full agonist ITF2984 shows antitumor properties against pancreatic neuroendocrine tumors (Pan-NETs)

description: Background: Somatostatin analogs (SSAs) binding to and activating somatostatin receptors (SSTRs) have been extensively used for the treatment of neuroendocrine tumors (NETs). The currently approved synthetic SSAs have high affinity for SSTR2 (octreotide/lanreotide), or for SSTR2 and SSTR5 (pasireotide). These agents have shown symptoms control and antiproliferative effects in subsets of NET patients and this was associated to the expression of the targeted SSTRs. Pancreatic NETs (Pan-NETs) are uncommon tumors with a propensity to metastasize. For unresectable advanced Pan-NETs expressing SSTRs, SSAs are the first-line medical therapy. Pan-NETs express mainly SSTR1, SSTR2 and SSTR3 and thus should respond to agonists targeting SSTR3. 
Summary: We evaluated the efficacy of ITF2984, a novel multireceptor agonist with specificity for SSTR3, against Pan-NET cells representative of well differentiated, functioning tumors, and expressing high levels of SSTR3. The effect of ITF2984 on cell proliferation/viability, and on its ability to promote apoptosis and suppress hormone secretion was evaluated in 2D and 3D organotypic culture systems. Pasireotide was tested in parallel for comparative purposes. 
Key message: We found that ITF2984 is as effective as pasireotide at inhibiting both proliferation/viability and hormone secretion, as well as at inducing apoptosis of Pan-NET cells grown as both 2D monolayers and 3D spheroids. High-dose ITF2984 elicits structural alterations in Pan-NET 3D spheroids compatible with cell death more effectively than pasireotide. Altogether, ITF2984 may represent a useful alternative to pasireotide for the medical treatment of Pan-NETs and other tumors with elevated SSTR3 expression.
DOI: 10.7289/v5pz56r6
title: NOAA Climate Data Record (CDR) of Normalized Difference Vegetation Index (NDVI), Version 4 (Version Superseded)

description: *Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version.* This dataset contains gridded daily Normalized Difference Vegetation Index (NDVI) derived from the NOAA Climate Data Record (CDR) of Advanced Very High Resolution Radiometer (AVHRR) Surface Reflectance. The data record spans from 1981 to 10 days before the present using data from eight NOAA polar orbiting satellites: NOAA-7, -9, -11, -14, -16, -17, -18 and -19. The data are projected on a 0.05 degree x 0.05 degree global grid. This dataset is one of the Land Surface CDR products produced by the NASA Goddard Space Flight Center (GSFC) and the University of Maryland (UMD). Improvements made for Version 4 include 1) additional data from NOAA satellites extending the time period, 2) improved geolocation accuracy from use of OLE instead of TLE, 3) center of the grid is used as the reference, and 4) data value of a grid cell is computed as an average of available good observations. The dataset is in the netCDF-4 file format following ACDD and CF Conventions. The dataset is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.
DOI: 10.17592/001.2024061101
title: Vertical atmospheric profiling by drones during the WMO UAS-DC campaign 2024.

description: Meteorological observations were made at the Meteorological Research Institute, Tsukuba, Japan, as a part of the WMO UAS-DC campaign from 1 March to 30 April 2024. We conducted drone observations for atmospheric structure profiling (temperature, relative humidity, wind speed, and direction) up to 900 m above ground level using three types of drones (PF2, Build Flyer, and Mavic3). The meteorological sensors were installed on the arm and top of the drone's body.
DOI: 10.17632/4ymvtg5rkh.1
title: DATA_FOR_Parameterizations of Entrainment-Mixing Mechanisms and their Effects on Cloud Droplet Spectral Width Based on Numerical Simulations

description: These data are for JGR paper titled as "Parameterizations of Entrainment-Mixing Mechanisms and their Effects on Cloud Droplet Spectral Width Based on Numerical Simulations" These data include the description of model, configuration/parameters used to run the model, in put data and Data that Support the Summary.
DOI: 10.17632/5h8ksc3xpd.1
title: Eimeria tenella 28 day old sporozoites - coding transcriptome

description: Supporting data for Kruth et al., 2024. Development of a molecular assay for the determination of Eimeria tenella oocyst viability. Parasitology Research, Accepted 29 November 2024 (DOI: 10.1007/s00436-024-08429-1)

HI.5207.007.NEBNext_dual_i7_E12---NEBNext_dual_i5_E12.2HB_R1.rar (compressed FASTQ)
 --&gt; Sporozoites from oocysts stored for 28 days at room temperature (21 C); heat stimulated (to 41 C) for 90 minutes prior to RNA extraction
HI.5207.007.NEBNext_dual_i7_F12---NEBNext_dual_i5_F12.2RA_R1.rar (compressed FASTQ)
 --&gt; Sporozoites from oocysts stored for 28 days at room temperature (21 C); held at steady state prior to RNA extraction
DOI: 10.25919/aegy-ny12
title: Synthetic Cerebral Microbleed on SWI images

description: This data was used and is explained in the publication listed and provided in the "Related Links" section. The dataset comprises 75 MRI SWI with real Microbleed of the brain and the locations defined by experts of 175 microbleeds. In addition, we provide the same datasets with added 10 synthetics Microbleed lesions along with their locations for each SWI, created using a mathematical model. Our publication demonstrated that the data with synthetics could be used for training to yield superior performance when tested on real lesions
DOI: 10.3334/cdiac/spruce.028
title: SPRUCE Porewater Chemistry Data for Experimental Plots, Beginning in 2013

description: This data set reports the chemistry of porewater in the SPRUCE plots located in the S1 bog. Sample collection and analyses started in August of 2013 and will continue for the duration of the experiment. Results will be added to this data set and released to the public periodically as quality assurance and publication of results are accomplished. These data are the pre- and post-treatment data from the warming and elevated CO2 treatments associated with the SPRUCE experiment. There are 10 experimental plots in SPRUCE: 5 temperature treatments (+0, +2.25, +4.5, +6.75, +9°C) at ambient CO2, and the same 5 temperature treatments at elevated CO2 (+500 ppm). There are 7 additional ambient plots without experimental enclosures, and thus a total of 17 plots. This February 2022 release (version 3) is an updated and expanded version and replaces the previous release.
DOI: 10.48612/msupe/79ex-emkg-ezzd
title: Групповой интеллектуальный тест (ГИТ)

description: Результаты "Группового интеллектуального теста" (ГИТ) для учащихся 4-ого класса российских школ. Тестирование проводилось в онлайн формате
DOI: 10.48612/msupe/vmad-vak4-zux9
title: Подростки в трудной жизненной ситуации

description: Представлены данные подростков 12-18 лет из разных регионов РФ (N=1718) по методикам: Многомерная шкала удовлетворенности жизнью (ШУДЖИ); Многомерная шкала школьной вовлеченности; Шкала реагирования на неопределенность (URS); краткая версия методики изучения копинг-стратегий для подростков СОРЕ-30A; Шкала настойчивости.
DOI: 10.5281/zenodo.11368896
title: DSA-380 experimental data and a non-linear model in Matlab

description: Experimental data of the DSA 380 pantograph is provided in a dataset and the Matlab files neccesary to simulate a model of the pantograph. Readme available.
DOI: 10.5281/zenodo.13755208
title: HRDIC and EBSD data for the study of early stage plasticity of a Ni-base superalloy

description: We used High-Resolution Digital Image Correlation (HRDIC) to study the strain localisation and slip activity of a Ni-base superalloy sample, which was subjected to an in-situ tensile test inside a scanning electron microscope (SEM). 

Displacement data for HRDIC were calculated using two methods: the integrated method, which correlates with the initial reference frame, and the differential method, which correlates with the previous step. Both datasets are available and saved in separate folders in the .zip file named 'HRDIC and EBSD data'.

EBSD data for the region of interest (ROI) can be found in the same .zip file along with a Jupyter Notebook to read and visualise to both datasets.
DOI: 10.5285/84403d09cef3485883158f4df2989b0c
title: ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v2

description: This dataset comprises estimates of forest above-ground biomass for the years 2010, 2017 and 2018. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team. The data products consist of two (2) global layers that include estimates of: 1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots 2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset) This release of the data is version 2, with data provided in both netcdf and geotiff format. The quantification of AGB changes by taking the difference of two maps is strongly discouraged due to local biases and uncertainties. Version 3 maps will ensure a more realistic representation of AGB changes.
DOI: 10.6084/m9.figshare.24799284.v2
title: HUST-CRA

description: The atmospheric de-aliasing product HUST-CRA has a time span from 2002 to 2020, with a time resolution of 6 hours and a spatial resolution of 100 orders. And the tidal files are also including.
DOI: 10.6084/m9.figshare.28105091
title: Rapid evolution of zooplankton caused by urban transportation

description: Data for Roadway runoff toxicity, Resurrection experiment, Selection experiment at the mesocosms, Selection and relaxation experiments, Intrapopulation variation and interpopulation variation.
DOI: 10.6084/m9.figshare.28105091.v1
title: Rapid evolution of zooplankton caused by urban transportation

description: Data for Roadway runoff toxicity, Resurrection experiment, Selection experiment at the mesocosms, Selection and relaxation experiments, Intrapopulation variation and interpopulation variation.
DOI: 10.15468/dl.w3sqet
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "OccurrenceStatus is Present",
 "TaxonKey is Taxus wallichiana Zucc.",
 "Year 1950-2024"
 ]
}

 The dataset includes 354 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050699-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26318227
title: host genome

description: dataset of viral ecology of Xiaochaidan Lake
DOI: 10.6084/m9.figshare.26318227.v1
title: host genome

description: dataset of viral ecology of Xiaochaidan Lake
DOI: 10.15468/dl.h9mq9c
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Chinese Taipei",
 "TaxonKey is Cechenena lineosa Walker, 1856",
 "Year 1970-2024"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050700-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14290754
title: Dataset for "Robust Chemical Preservation of Digital Information on DNA in Silica with Error-Correcting Codes"

description: Dataset of DNA reads used in the paper: 







Grass, R. N., Heckel, R., Puddu, M., Paunescu, D., & Stark, W. J. Robust chemical preservation of digital information on DNA in silica with error-correcting codes. Angewandte Chemie International Edition, 54, 8, 2552–2555 (2015).

The dataset was published with the kind permission of Prof. Robert Grass. 

The reads of this dataset can be found in the file grass_reads.fastq. A binned version of this dataset can be found in the file Grass.txt.
DOI: 10.5281/zenodo.14290755
title: Dataset for "Robust Chemical Preservation of Digital Information on DNA in Silica with Error-Correcting Codes"

description: Dataset of DNA reads used in the paper: 







Grass, R. N., Heckel, R., Puddu, M., Paunescu, D., & Stark, W. J. Robust chemical preservation of digital information on DNA in silica with error-correcting codes. Angewandte Chemie International Edition, 54, 8, 2552–2555 (2015).

The dataset was published with the kind permission of Prof. Robert Grass. 

The reads of this dataset can be found in the file grass_reads.fastq. A binned version of this dataset can be found in the file Grass.txt.
DOI: 10.15468/dl.qbbkpt
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Taxus yunnanensis W.C.Cheng & L.K.Fu",
 "Year 1950-2024"
 ]
}

 The dataset includes 54 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050701-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14568038
title: Saadatpour, A., & Shahriari, M. (2024) Sustainable AI Innovation [Dataset]

description: This dataset was gathered by a research team at the Business Laboratory of Isfahan University of Technology to advance future research for a better society. The studies focus on sustainable innovation goals, the use of digital technologies such as AI, and the social, environmental, and economic challenges related to digitalization. The team hopes that this data will help achieve their objectives and contribute to a brighter future for the Earth.