cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zb66pp7vjh.1
title: A Vast Dataset for Kurdish Digits and Isolated Characters Recognition

description: Kurdish language dialects are used across four main nation-states in the Middle East, and only one dialect, Sorani, has official status in one of these nation-states. The majority of Kurdish-speaking regions are located in Turkey, Iraq, Iran, and Syria. More than 30 million people speak Kurdish as a whole, according to estimates. One of the two main dialects of Kurdish, known as Central Kurdish (Sorani), is spoken by an estimated 9 to 10 million people. It is mostly written with a 35-character modified Arabic/Persian alphabet and includes characters that have recently been replaced, such as (ك) which is no longer used by the Kurdish language and has been replaced with (ک). 
This work presents two massive datasets for central Kurdish handwriting digits and isolated characters named K-ZHMARA and K-PIT. The first dataset, named K-ZHMARA dataset, contains 70,000 images of Kurdish digits, 7,000 images for each digit, and a printed A4 paper with a grid of 10 × 10 is used for data collection. Apart from digits, the K-PIT dataset includes 245,000 images of all Kurdish characters, 7,000 images for each character; data was collected via a printed A4 paper with a grid of 12 × 10 for this dataset. Moreover, both datasets include 315,000 images. Then, using Python programming, each piece of paper was scanned, segmented, cropped, resized, binarized, and inverted using edge detection and image processing techniques. Most students from the University of Halabja and the primary and preparatory school in the Halabja governorate volunteered to fill out the forms. Furthermore, these datasets are suitable for Kurdish isolate handwritten optical digit/character recognition.
Labeling and organizing:
Each image is labeled with an ID number, the number of the folder in each dataset represents a single digit or character. For example, folder number 02 in the K-PIT dataset is the id of the letter, which in this case is Alef (ا), and folder number 03 in the K-ZHMARA dataset is the id of the digit, which in this case is three (٣). Each digit and character were stored in a folder with its ID as the name of that folder, with each folder containing 6000 images of that letter/digit for the training and 1000 images for the testing.
DOI: 10.21232/ks7mbtck
title: Pressed-leaf CABO spectra from herbarium project

description: null
DOI: 10.5281/zenodo.4723597
title: Stream metabolism (as resazurin-resorufin transformation) along a boreal headwater stream and its relation to groundwater organic matter supply

description: Datasets supporting the manuscript entitled "<strong><em>Groundwater-stream connections shape the spatial patterns and rates of aquatic metabolism</em></strong>", published in L<em>imnology and Oceanography Letters</em>. Three datasets are available: "<em><strong>Groundwater_Characterization.csv":</strong></em> dissolved organic matter characterization of and heterotrophic activity associated with, the major water sources discharging into a headwater boreal stream during summer 2017. Major water sources are: lake water and five discrete groundwater inflows (here named as <em>discrete riparian inflow points)</em>. "<em><strong>Raz_Additions.csv</strong></em>": Constant-rate additions of resazurin performed in a boreal headwater stream (Krycklan catchment, Sweden) during seven dates of summer 2017. Data contains resazurin and resorufin concentrations from the surface and hyporheic water at 18 stations along a 90-m long reach. "<em><strong>Raz_transformation_metric.csv</strong></em>": Hydrologic and metabolic characterization of the 90-m long reach for the seven resazurin additions conducted in summer 2017. More information about the data can be found in the document "<strong><em>Metadata.doc</em></strong>". Information about field and laboratory procedures can be found in the main manuscript or in the document "<strong><em>Supporting_Information.doc</em></strong>".
DOI: 10.5281/zenodo.6407290
title: Dataset - Spatially explicit linkages between redox potential cycles and soil moisture fluctuations

description: This repository holds data collected during three lysimeter experiments where laboratory column scale lysimeters have been subjected to different wetting/drainage cycles. The lysimeters have been filled with forest soil in the Lausanne forest characterised by the SwissMEX project The following dataset contains soil redox potential and soil moisture measurements that have been continuously monitored in time for different depths. Pore water samples of specific dissolved chemicals have been collected at the end of each cycle. Specifically, this dataset is composed by the following files: "Lysimeter_configuration.png" illustrates the lysimeter used and the sensors scheme adopted. "METADATA.txt" contains specific information about each recorded variable and data point collected throughout the three experiments SM-B, SM-I1 and 2. Pore water analysis data Soil moisture and tension data Soil redox potential data We thank Pascal Froidevaux for providing the lysimeter used for SM-B experiment. The authors acknowledge key funding provided by the Swiss National Science Foundation through its grant number CRSII5 186422.
DOI: 10.6084/m9.figshare.20321670.v1
title: Ensemble Modeling of Radiation Belt Electron Acceleration by Chorus Waves: Dependence on Key Input Parameters

description: This is the dataset used to produce figures for the paper under review with the title of "Ensemble Modeling of Radiation Belt Electron Acceleration by Chorus Waves: Dependence on Key Input Parameters". The ensemble simulation results are also provided.
DOI: 10.6084/m9.figshare.21102847
title: Morphometric data: Cryptic persistence and loss of local endemism in Lake Constance charr subject to anthropogenic disturbance

description: In the welcome circumstance that species believed extinct are rediscovered, it is often the case that biological knowledge acquired before the presumed extinction is limited. Efforts to address these knowledge gaps in particular to assess the taxonomic integrity and conservation status of such species can be hampered by a lack of genetic data and scarcity of samples in museum collections. Here we present a proof-of-concept case study based on a multidisciplinary data evaluation approach to tackle such problems. The approach was developed after the rediscovery, 40 years after its presumed extinction, of the enigmatic Lake Constance deep-water charr <em>Salvelinus profundus</em>. Targeted surveys led to the capture of further species and additional sympatric normal charr, <em>Salvelinus </em>cf.<em> umbla</em>. Since the lake had been subject to massive stocking in the past, an evaluation of the genetic integrity of both extant forms was called for in order to assess possible introgression. A two-step genomic approach was developed based on restriction site associated DNA (RAD). Diagnostic population genomic (SNP) data was harvested from contemporary samples and used for RNA bait design to perform target capture in DNA libraries of archival scale material, enabling a comparison between extant and historic samples. Furthermore, life history traits and morphological data for both extant forms were gathered and compared with historical data from the last 60-120 years. While extant deep-water charr matched historical deep-water specimens in body shape, gill raker count and growth rates, significant differences were discovered between historical and extant normal charr. These resulted were supported by genomic analyses of contemporary samples, revealing the two extant forms to be highly divergent. The results of population assignment tests suggest that the endemic deep-water charr persisted in Lake Constance during the eutrophic phase, but not one of the historical genomic samples could be assigned to the extant normal charr taxon. Stocking with non-endemic charr seems to be the most likely reason for these changes. This proof-of-concept study presents a multidisciplinary data evaluation approach that simultaneously tests population genomic integrity and addresses some of the conservation issues arising from rediscovery of a species characterized by limited data availability. <br> Usage notes Dataset 1: Landmarks from recent and historic samples of both forms <br> Dataset 2: Morphometric data of both forms to compare eye diameter and head length <br> Dataset 3: Length at age of recent samples of both charr forms <br> Datset 4: The development of gill raker number between 1980 and 1998 (explanation see ms) <br>
DOI: 10.6084/m9.figshare.21908559
title: Supplementary Material for: Increased Spleen Volume in Hepatocellular Carcinoma Patients Treated with Atezolizumab plus Bevacizumab in Comparison to Lenvatinib: A Retrospective Analysis

description: <b><i>Introduction:</i></b> We previously reported 2 cases of esophageal varices rupture during atezolizumab and bevacizumab (Atez/Bev) treatment, in which the spleen volume gradually increased. The aim of this retrospective study is to compare the chronological change in spleen volume of patients treated with Atez/Bev and lenvatinib (LEN). <b><i>Methods:</i></b> Seventy-two patients (Atez/Bev group, <i>n</i> = 26; LEN group, <i>n</i> = 46) were included in this retrospective study. The splenic parenchyma area was measured based on CT imaging. We used mixed-effect regression models with random intercepts to test the difference in the rate of change in spleen volume between the Atez/Bev and LEN groups. <b><i>Results:</i></b> The median age of the Atez/Bev and LEN groups was 74.0 (71.0–82.0) and 72.0 (67.5–76.0), respectively. About 80% patients were male. The mALBI grade was classified as 1, 2a, 2b, and 3 in 10 (38.5%), 6 (23.1%), 10 (38.5%), and zero (0.0%) patients, respectively, in the Atez/Bev group and 21 (45.7%), 9 (19.6%), 15 (32.6%), and 1 (2.2%) patient in the LEN group (<i>p</i> = 0.9). The median baseline neutrophil-to-lymphocyte ratio (NLR) was 2.61 (1.80–3.41) in the Atez/Bev group and 2.71 (1.76–3.67) in the LEN group (<i>p</i> = 1.0). The median baseline spleen volume was 185 (132–246) cm<sup>3</sup> in the Atez/Bev group and 231 (150–355) cm<sup>3</sup> in the LEN group. The spleen volume gradually increased during Atez/Bev treatment (2.41 cm<sup>3</sup> per week), while it was mostly consistent during LEN treatment (0.32 cm<sup>3</sup> per week). Among patients with mALBI grade 2b or 3, the spleen volume increased in the Atez/Bev group (2.99 cm<sup>3</sup> per week) and slightly decreased in the LEN group (0.82 cm<sup>3</sup> per week), without statistical significance (<i>p</i> = 0.07). Among patients with a baseline NLR of &gt;2.68, the spleen volume increased at a rate of 2.57 cm<sup>3</sup> per week in the Atez/Bev group and decreased at a rate of 1.18 cm<sup>3</sup> per week in the LEN group. The difference in the slope of the two groups was statistically significant (<i>p</i> = 0.04). <b><i>Discussion/Conclusion:</i></b> Atez/Bev treatment could result in an increased spleen volume. Caution is required when managing patients treated with Atez/Bev, especially those with a high NLR.
DOI: 10.15785/sbgrid/973
title: X-Ray Diffraction data from Human ABCG5/G8 in complex with cholesterol, source of 8CUB structure

description: Native datasets
DOI: 10.17028/rd.lboro.6795395
title: Data cleaning, temperature and gas demand weighting, and determining the DHW demand

description: These are the SI files for "Decarbonising domestic heating: what is the peak GB demand?"<br>The SI file contain information on data cleaning, temperature and gas demand weighting, and determining the DHW demand.<br>The Excel spreadsheet has sheets entitled: "Normalised total heat demand"; "Normalised space heat"; "Normalised DHW profile"; "Daily regression equations".
DOI: 10.17632/fbvvvf55kp.1
title: Satellite imagery dataset of manure application on pasture fields

description: Sentinel-2 imagery of freshly manured pasture fields in the northern region of Spain.
Each image is in ".tif" format and has 64 channels. The first 13 channels are the raw bands of Sentinel-2. The remaining 51 channels are some of the most common hyperspectral indices in Precision Agriculture.
The order of the channels is the following (from 0 to 63):
B01
B02
B03
B04
B05
B06
B07
B08
B8A
B09
B10
B11
B12
NDVI
NSNDVI
SDI
GNDVI
SAVI
OSAVI
EOMI1
EOMI2
EOMI3
EOMI4
BNR2
RVI
DVI
RENDVI1
RENDVI2
RENDVI3
CI1
CI2
CI3
NDRE
MCARI
MCARI1
MCARI2
MTVI1
MTVI2
EVI
AVI
GCI
BSI
NBRI
NDRE1
NDRE2
NDRE3
MSAVI
WDRVI
ARVI1
ARVI2
TSAVI
CARI1
CARI2
CVI
EVI1
EVI2
EVI3
SCI
GRNDVI
GBNDVI
GLI
ATSAVI
ALTERATION
CTVI

This data can be used to develop machine learning detectors for freshly manured fields.
DOI: 10.23729/042aa259-d34c-4cbc-8e02-e1b40be6e4df
title: JYFL-ACCLAB-ISG001-First experimental results of CUBE-ECRIS
title: JYFL-ACCLAB-ISG001-First experimental results of CUBE-ECRIS

description: First experimental results of CUBE electron cyclotron resonance ion source (ECRIS) with a round extraction aperture.
DOI: 10.5281/zenodo.7106205
title: mzML Standard Files from a Diatom

description: These are mzML files created with Proteowizard. The RAW files are available via MetaboLights Reporistory and are described in the article - DOI: 10.1016/j.phytochem.2022.113267 The files are named according to the standard molecule measured with LCMS2. The pure standards used are Betaine, Pipecolatic acid, Methionine Sulfoxide, N,N-dimethylarginine, O-acetyl-L-carnitine, O-propanoyl-L-carnitine, O-butanoyl-L-carnitine, Isovalerylcarnitine, and Cysteinolic acid. The study is done on <em>Skeletonema marinoi </em>which is a diatom. The files with Sc_st are standard+algal QC, and Sc_QC are algal QC.
DOI: 10.5281/zenodo.7524585
title: Uturuncu attenuation tomography grid data

description: Attenuation tomography Qp and Qs values for each x,y,z location within the tomography grid. Notes: x,y,z in km East, North and Elevation (above sea-level). Reference point is Uturuncu summit at -22.27 degrees North and -67.16 degrees East. nan values are where the tomography failed to resolve the particular grid cell.
DOI: 10.5066/p90nci8t
title: Time Series of Autonomous Carbonate System Parameter Measurements from Crocker Reef, Florida, USA

description: This dataset contains carbonate system data collected by scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center to investigate the effects of carbon cycling, coastal and ocean acidification at Crocker Reef located along the Florida Keys Reef Tract, in Southeast Florida, USA. These data were collected using an autonomous instrument called the Ocean Carbon System version 1 (OCSv1) deployed on the seafloor at Crocker Reef. The OCSv1 consists of five sensors integrated into a Sea-Bird Scientific STOR-X submersible data logger including a Seabird SeapHOx sensor for measurement of pH; a Sea-Bird 16 Plus CTD recorder for measurement of conductivity (for calculation of salinity), temperature, and depth an Aanderaa oxygen optode for measurement of dissolved oxygen; a Pro-Oceanus CO2-Pro for measurement of CO2; and a Wetlabs Eco-PAR sensor for measurement of photosynthetically active radiation. The dataset is a time series of carbonate system parameters including: water temperature (Celsius, degrees C), pressure (decibar, dbar), salinity, pHT (pH on the total scale), carbon dioxide (parts per million, ppm), pressure from the CO2-Pro Infrared Gas Analyzer (IRGA) (millibars, mbar), dissolved oxygen (milligrams per liter, mg/L) and photosynthetically active radiation (microEinsteins). Each parameter was measured every hour for 24-hour time periods throughout the duration of deployment. Data were collected under Florida Keys National Marine Sanctuary Permit FKNMS-2013-097. For further information regarding data collection and/or processing methods refer to: Yates, K.K., Moore, C.S., Goldstein, N.H., and Sherwood, E.T., 2019, Tampa Bay Ocean and Coastal Acidification Monitoring Quality Assurance Project Plan: U.S. Geological Survey Open-File Report 2019-1003, 35 p., https://doi.org/10.3133/ofr20191003.
DOI: 10.5066/p9l2ymv
title: Daily SSEBop Evapotranspiration Data from 2000 to 2018

description: Daily SSEBop evapotranspiration at the Moderate Resolution Imaging Spectroradiometer (MODIS) scale was created for the CONUS. These data are published on the USGS earlywarning site (https://earlywarning.usgs.gov/ssebop/modis/daily). The first phase included the creation on historical actual daily ET data from 2000 to 2018. The second phase will create the ET product operationally on a daily time scale. The corresponding data files for each day, geotiff and meta data file, are compressed as a zip file for download. The values for the daily ET data are scaled by a factor of 1000. NoData pixels are indicated as NoData(9999). Daily ETa data are produced at 1 km resolution and are available at: https://earlywarning.usgs.gov/ssebop/modis/daily
DOI: 10.3886/e183611v2
title: Governments' Economic Responses to COVID-19 (Econ-Response2covid19)

description: We introduce a new dataset of ten economic measures in percentage of gross domestic product implemented by governments worldwide between January 2020 and June 2021 to fight COVID-19. The measures coded include fiscal measures (wage support, cash transfers, in-kind transfers, tax cuts, sectorial support and credit schemes), tax deferrals, off-budget measures, and main policy rate cuts. The data can be used to study the impact of economic measures on different outcomes, and to understand the diffusion of economic policies during crises.
description: Presence of Common Scales: Measures are coded in % of 2019 GDP.
description: Smallest Geographic Unit: Country or territory
description: other;
DOI: 10.25345/c5k931h05
title: MassIVE MSV000091802 - TGFb is involved in type 1 alveolar epithelial cell plasticity and extracellular matrix gene transcription
title: Proteome analysis for knockouts HopxCreERT2; Tgfbr2 fl/fl; R26REYFP (samples 1,2,3) and het controls HopxCreERT2; Tgfbr2 fl/ ; R26REYFP (control 4,5,6)
DOI: 10.13020/7b2s-gv09
title: Data and R code supporting “Non-linear water clarity trends and impacts on littoral area in Minnesota lakes”

description: This repository contains the data and R code used to conduct the analyses in the article "Non-linear water clarity trends and impacts on littoral area in Minnesota lakes" in Limnology and Oceanography Letters.
description: Detailed descriptions of the data and R files can be found in Vitense_and_Hansen_Metadata.pdf. We recommend using RStudio to run the code. Double-click on the R project files ('AllLakesModelSecchi.Rproj' and 'Clarity_Habitat_Impacts.Rproj') to open up new RStudio windows with the working directories set to the folders where the project files are located. Note that the 'Clarity_Habitat_Impacts' project uses output from the 'AllLakesModelSecchi' project.
DOI: 10.15787/vtt1/ceu6rb
title: 100-Car Data

description: The 100-Car Naturalistic Driving Study was an instrumented vehicle study conducted in the Northern Virginia / Washington, D.C. area over a 2 year period. The primary purpose of the study was to collect large scale naturalistic driving data. To this end, the instrumentation was designed to be unobtrusive, study participants were given no special instructions, and experimenters were not present. Approximately 100 vehicles were instrumented with a suite of sensors including forward and rearward radar, lateral and longitudinal accelerometers, gyro, GPS, access to the vehicle CAN, and five channels of compressed digital video. Collection rates for the various sensors ranged from 1Hz to 10Hz. This collection effort resulted in approximately 2,000,000 vehicle miles and 43,000 hours of driving data. Detailed video analysis has been compiled for 68 crashes and 760 near crashes.
DOI: 10.17031/6363931221194
title: Supporting data Djeghri et al North Sea Regime Shifts and Plankton Traits

description: This dataset provides the data necessary to reproduce the analyses of our paper "Reinterpreting the plankton community response to two North Sea regime shifts through the lens of functional traits" by Nicolas Djeghri, Aurélien Boyé, Clare Ostle and Pierre Hélaouët, submitted in Global Ecology and Biogeography.
DOI: 10.17632/5xjkgrx9xt.1
title: Base de datos de Investigación en Soledad, ansiedad y depresión en cuidadores de pacientes crónicos, Cúcuta, Colombia, 2021

description: Esta es una base de datos de cuidadores de pacientes crónicos, a quienes se les indagó por ansiedad, soledad y depresión durante su transición y adopción del rol como cuidador
DOI: 10.17632/8h65ywd2jr.1
title: Extensive and Augmented COVID-19 X-Ray and CT Chest Images Dataset

description: This COVID-19 dataset consists of Non-COVID and COVID cases of both X-ray and CT images. The associated dataset is augmented with different augmentation techniques to generate about 17100 X-ray and CT images. The dataset contains two main folders, one for the X-ray images, which includes two separate sub-folders of 5500 Non-COVID images and 4045 COVID images. The other folder contains the CT images. It includes two separate sub-folders of 2628 Non-COVID images and 5427 COVID images.
DOI: 10.17632/gtt7stf5x8.2
title: Intcatch aquatic drone sensor dataset

description: This dataset contains sensor traces (multivariate time series) of six data acquisition campaigns performed by autonomous aquatic drones involved in water monitoring. A total of 5.6 hours of navigation are available, with data coming from both lakes and rivers, and from different locations in Italy and Spain. The monitored variables concern both the internal state of the drone (e.g., battery voltage, GPS position and signals to propellers) and the state of the water (e.g., temperature, dissolved oxygen and electrical conductivity). Data were collected in the context of the EU-funded Horizon 2020 project INTCATCH (http://www.intcatch.eu) which aims to develop a new paradigm in the monitoring of river and lake water quality. Both autonomous and manual drive is used in different parts of the navigation.
DOI: 10.5258/soton/d2552
title: Dataset for the journal paper 'River infrastructure and the spread of freshwater invasive species: inferences from an experimentally-parameterised individual-based model'

description: Data associated with article 'River infrastructure and the spread of freshwater invasive species: inferences from an experimentally-parameterised individual-based model' to be published in the Journal of Applied Ecology
DOI: 10.5281/zenodo.5759758
title: Results of Mothra analysis of all iCollections butterflies

description: Results of Mothra analysis of all iCollections butterflies including analysis pipeline files. This dataset supports the publication: "Applying computer vision to digitised natural history collections for climate change research: temperature-size responses in British butterflies"
DOI: 10.5281/zenodo.6678395
title: WRF simulation of atmospheric velocity components around flight 08 of the SOUTHTRAC Campaign

description: The three atmospheric velocity components (zonal u, meridional v, vertical w) from numerical model WRF every 15 min and at 0.5 / 3 km vertical / horizontal resolution up to 60 km height are included. The whole time and geographical area of the flight are covered. Zipped netcdf format.
DOI: 10.5284/1024569
title: The Antikythera Survey Project

description: The Antikythera Survey Project (ASP) was an interdisciplinary programme of fieldwork, artefact study and laboratory analysis that addressed the long-term history and human ecology of the small Greek island of Antikythera. It was directed by Andrew Bevan (University College London) and James Conolly (Trent University, Canada), in collaboration with Aris Tsaravopoulos (Greek Archaeological Service), and under the aegis of the Canadian Institute in Greece and the Hellenic Ministry of Culture. Its four main external funding agencies were the UK Arts and Humanities Research Council, the British Academy, the Social Science and Humanities Research Council of Canada and the Institute for Aegean Prehistory.