cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/j9mvw2zwgf
title: Mid-19th century road network dataset for Galicia and Austrian Silesia, Habsburg Empire

description: Dataset presents vector dataset of the historical road network of Galicia and Austrian Silesia (&gt; 80 000 km2) in the mid-19th century – two regions of the former Habsburg Empire, located in Central Europe. The data were acquired manually from 455 map sheets of the Austrian second military survey map (1:28,800) for the four main road categories, according to the map legend. All the road categories present the roads passable at any time of the year, which was strategic information from the military point of view and build a network of 15 460 km. Currently, the data can be used by various researchers studying migrations, regional development, but also human impact on the environment, like land use change, invasive species introduction or landscape fragmentation. The dataset presents the times just before the most dynamic economic changes of the 19th century, which had a great impact on the region. On the other hand, the road network presented here was developed in the conditions of one country, the Habsburg Empire, which collapsed after the First World War, triggering the rise of new states and remodelling the transport network connections in Central Europe. Additionally, the data are accompanied by the layer of towns and villages with more than 2000 inhabitants, based on the 1857 Austrian census data. This research was funded by the Ministry of Science and Higher Education, Republic of Poland under the frame of “National Programme for the Development of Humanities” 2015–2020, as a part of the GASID project (Galicia and Austrian Silesia Interactive Database 1857–1910, 1aH 15 0324 83).
DOI: 10.17632/x5vxxyf8yd
title: Data for: Size matters but is big always better? Effectiveness of urea and Phlebiopsis gigantea as treatment against Heterobasidion on Picea abies stumps of variable size

description: Key for understanding the dataset is included as a worksheet in the excel file. In another worksheet the raw data can be found.
DOI: 10.17632/sxjgbgg95y
title: Data for: A Simple Algorithm for Despiking Raman Spectra

description: Raman spectra collected from a 12 mm tablet using a LabRAM HR Evolution (HORIBA UK Ltd., Stanmore, UK) spectrometer system plus analysis script to annihilate spikes using a newly developed algorithm
DOI: 10.17632/vjb74svzfk
title: Data for: Automated Adaptive Trajectory Planning in GPR Survey

description: This is the dataset for GPR field survey in our paper.
DOI: 10.6084/m9.figshare.5498419.v1
title: CitySounds2017test audio files

description: The CitySounds2017<i><sub>test</sub> </i>dataset comprising 40 1-minute <i>.wav</i> audio files recorded at 19 green infrastructure sites within Greater London, UK between 2013 and 2015.<br>Audio data captured using a Song Meter SM2+ digital audio field recorder (Wildlife Acoustics, Inc., Concord, Massachusetts, USA). The recorder was equipped with a single omnidirectional microphone (frequency response: -35±4 dB) oriented horizontally at a height of 1 metre.<br>
DOI: 10.6084/m9.figshare.21937529.v1
title: Experience curve data for energy storage technologies

description: This dataset is part of the publication "Monetizing Energy Storage - A toolkit to assess future cost and value" by Oliver Schmidt and Iain Staffell, which is to be published by Oxford University Press in June 2023.
DOI: 10.17632/4tkhdx4jjx
title: DPFSP with due dates

description: This dataset is the extension of Naderi and Ruiz (2010) benchmark set for distributed permutation flowshop scheduling problem (DPFSP) with due dates. It can be utilized for DPFSP with total tardiness criterion.
DOI: 10.17632/9sb2ywg65w
title: Geliosphere - parallel CPU and GPU based models of cosmic ray modulation in the heliosphere

description: We present Geliosphere, a numerical model of the modulation of cosmic rays in the heliosphere. The current version of Geliosphere implements the stochastic differential equation method to solve Parker's equation. Sets of 1D and 2D models of Geliosphere solve Parker's equation in a backward-in-time manner for 2D models and in a backward-in-time and forward-in-time manner for 1D models. Geliosphere offers GPU-accelerated implementations of all models. Geliosphere also offers multithread CPU implementations of all available models for users who do not have access to GPUs. To verify the Geliosphere 2D model results at different heliospheric latitudes and radii, we show that the Geliosphere 2D model, with implemented heliospheric polar field modification, fits well with measurements provided by the Kiel Electron Telescope (KET), which is part of the Ulysses COsmic ray and Solar Particle INvestigation (COSPIN) experiment.
DOI: 10.17632/p78vmz97g7
title: CAVI-14: A Real-Time Vehicle Object Image Dataset for Autonomous Driving

description: CAVI-14 (Camera-based Vehicle Image dataset with 14 categories) is a camera-based image dataset designed to support research in real-time object detection for intelligent transportation systems and autonomous driving. The dataset consists of 2,661 high-resolution images, collected using a Samsung Galaxy A15 smartphone camera around a university campus area in South Korea, capturing diverse urban traffic environments. 
The dataset includes 9,082 annotated objects across 14 vehicle-related object classes, specifically:
• Vehicles & Transport: car, bus, pickup, lorry, ambulance, motorcycle, bicycle, e-bike
• Pedestrian & Road Elements: pedestrian, zebra crossing, sidewalk, speed bump, traffic signal, road divider
Each image is annotated with precise bounding boxes. The annotations are provided in two widely-used formats:
• YOLO format (.txt) for real-time detection models
• Pascal VOC format (.xml) for traditional detection pipelines
The dataset is organized into three main directories:
• train folder contains training images and their corresponding annotation files
• test folder contains testing images and annotation files
• annotations folder includes metadata in .xml format (object name, coordinates, image size, etc.)
This structured and standardized format allows researchers to directly use the dataset for training and validating object detection models. A baseline evaluation using the YOLOv5s model achieved promising performance, confirming the dataset's suitability for benchmarking deep learning-based vehicle detection algorithms.
CAVI-14 contributes a diverse and realistic set of labeled street-level traffic images, helping advance computer vision research in traffic monitoring, smart cities, and autonomous navigation.
DOI: 10.17632/b6s3963rfx
title: cvd19

description: Covid 19 CT Scan Images
DOI: 10.17632/278k27zd4t
title: A Comprehensive Mango Leaf Disease Dataset with Semantic Annotations

description: The Mango Leaf Disease dataset comprises a collection of images of mango leaves gathered from an orchard in Ramgarh, Khagrachari, Bangladesh, specifically from Sierra Agro, located at the geographical coordinates 22.98123°N and 91.76185°E. The data collection took place between October 10 and October 12, 2024. The dataset contains a total of 2,731 images, including both healthy leaves and diseased leaves. These images are categorized into five distinct classes: Anthracnose, Dag Disease, Red Rust, Galls, and Healthy. The photographs were taken using the high-resolution camera of an iPhone 12 under natural lighting conditions on sunny days, with temperatures ranging from 28°C to 30°C. The original images were captured in HEIF format and later converted to JPG format, with dimensions of 2543x3390 pixels. For practical use, the images have been resized to 640x480 pixels with a resolution of 72 dpi. Additionally, the dataset includes detailed annotations that categorize the diseases, facilitating semantic segmentation, a feature that has garnered significant attention from data scientists.
DOI: 10.17632/hszjtx5hg6
title: Purswani et al 2017. Growth and degradation data

description: Growth and MTBE degradation data set of the complete combinatorial of 7 strains, creating 127 communities.
The growth data was used to create BSocial ( https://m4m.ugr.es/BSocial.html), a web-based analytical tool deciphers social behaviour. More growth data is available in the link. The biodegradation data linked to each community confirms efficiency of the tool in selecting biodegrading functional consortia. 
Purswani J., Romero-Zaliz RC., Martin-Platero AM., Guisado IM., Gonzalez-Lopez J., Pozo C., 2017. BSocial: Deciphering Social Behaviours within Mixed Microbial Populations. Frontiers in Microbiology (Publsihed online – https://doi.org/10.3389/fmicb.2017.00919)
DOI: 10.17632/zdvb5hzv2x
title: ARC-TOP Design Files & BOM

description: Design files for the Arctic Research Centre TOP (ARC-TOP) autonomous CTD profiler for remote measurement. The profiler is designed for remote deployment by UAV operating from both land and marine vessels. The profiler will autonomously dive to a preset depth before returning to the surface for UAV retrieval.
The supplied files are sufficient for construction and operation of the ARC-TOP. 

The ARC-TOP have been tested in NE Greenland and have demonstrated remote operation of up to 1 km and dives to at depth of 200 m.
DOI: 10.17632/cvsyww3zxd
title: Self-Assessment-Based Dataset for Hearing Impairment Classification

description: This dataset captures self-reported communication difficulties among individuals from both normal and hearing-impaired populations. It is derived from responses to a standardized self-assessment questionnaire designed to evaluate hearing handicap severity in real-life communication scenarios. Each response is categorized into four levels of difficulty: "Most of the time" (&gt;75%), "Sometimes" (25%–75%), "Seldom" (&lt;25%), and "Not Applicable."

The data encompasses a demographically diverse population, ensuring representation across age, gender, and socio-economic backgrounds. Statistical reliability is validated using Cronbach’s Alpha (α = 0.88), confirming strong internal consistency. Discriminant validity tests and factor correlation analysis further support the dataset's ability to distinguish between normal and impaired populations based on communication challenges.

The dataset has been successfully used to train and evaluate machine learning models for hearing impairment classification. Notably, a Neural Network model achieved superior performance with 97% accuracy, 96% precision, 98% recall, and a 97% F1-score, outperforming Logistic Regression and Decision Tree classifiers. This highlights the dataset’s value in developing data-driven auditory health assessment tools suitable for clinical and telehealth applications.
DOI: 10.17632/fxmnty8zf8
title: CH4 and N2O flux data from wet rice grown on organic soil in Switzerland

description: We measured CH4 and N2O emissions from wet rice on organic soil with chamber measurements, in an outdoor mesocosm experiment in Switzerland's Central Plateau, located in the cool temperate moist zone, north of the Alps. We applied two water treatments (a high water table (WT) treatment, -6 cm with mid-season drainage, and two medium WT treatments, -11 and -17 cm without mid-season drainage) and additionally tested the use of a mineral cover layer to reduce N2O emissions. Additionally, a deeply-drained grassland treatment was used as a reference treatment. Fluxes were measured twice a week (rice) and weekly (grass) during the growing season, though more dense measurements took place around fertilisation events and any man-made changes in the WT (e.g. drainage). In total, fluxes were measured from 12 rice plots (3 treatments x 4 replicates per treatment) and 4 grass plots (1 treatment). All rice and all grass plots, respectively, were measured on the same day. Fluxes were measured for the two gases simultaneously, using an opaque chamber (1.2 m × 0.605 m, height 0.795 m) to sample gases in a closed loop system with a Picarro G2308 gas analyser. The chamber was lowered for 15 minutes per plot, though the first 3 minutes of all data were discarded. The R-package "gasfluxes" was used to calculate fluxes, thus avoiding artifacts due to saturation of gases in the headspace. Information on air pressure was obtained from a nearby meterological station ("Zurich / Affoltern"). Information on chamber temperature was obtained from a thermometer inside the gas sampling chamber or (for the five days for which these data were not available) by using calibrated hourly air temperature data from the nearby meteorological station. Four data sets are included: 1. Hourly CH4 fluxes (on measurement days) from 12 rice plots 2. Hourly CH4 fluxes (on measurement days) from 4 grass plots 3. Hourly N2O fluxes (on measurement days) from 12 rice plots 4. Hourly N2O fluxes (on measurement days) from 4 grass plots Units are in mg CH4.m-2.h-1 (files 1 and 2) or mg N2O-N.m-2.h-1 (files 3 and 4). The upper-most column headers in these files refer to the management treatments, as described in https://doi.org/10.1016/j.agee.2023.108641. The second row of column headers (numbers 1-16) refer to the individual plots, as given in the supplementary material associated with https://doi.org/10.1016/j.agee.2023.108641.
DOI: 10.17632/h8mht3jsbz
title: NIR spectra datasets of agricultural soil and fertility properties

description: Dataset of near infrared spectroscopy (NIRS) were presented and can be used to predict agricultural soil fertility properties. Near infrared spectra data were acquired in wavelength range from 1000 to 2500 nm for a total of 40 bulk soil samples amounted of 10 g per each bulk. Soil fertility properties, presented as soil nitrogen (N), phosphorus (P). potassium (K), soil pH, magnesium (Mg) and calcium (Ca), were measured by means of wet chemical analysis.
DOI: 10.17632/hc7d4j6hm7
title: The raw data for: Damage evolution simulation and life prediction of high-strength steel wire under the coupling of corrosion and fatigue

description: The raw data for section 4, 5 and 6.
DOI: 10.17632/jv6m689jvv
title: A data fusion approach unveils the impact of 3-nitrooxypropanol on the rumen fluid and milk metabolomes of lactating Holstein dairy cows

description: Supplemental Table S1. Excel file containing the following sheets: a) rumen metabolites annotated by UHPLC-HRMS analysis; b) milk metabolites annotated by UHPLC-HRMS analysis; c) Correlation Network resulting from data fusion of rumen and milk metabolites; d) Log2FC values of the VIP compounds discriminating the rumen metabolomic profile for the pairwise comparison 3-NOP vs CTR groups; e) Log2FC values of the VIP compounds discriminating the milk metabolomic profile for the pairwise comparison 3-NOP vs CTR group.
DOI: 10.17632/827345g6nt
title: Dataset on Grave's disease inhibition

description: Data for publication in Data in Brief
DOI: 10.17632/97f68nzk4x
title: সুচেতনা: একটি মর্মভেদী প্রেমের কবিতা

description: এই গবেষণামূলক প্রবন্ধে জীবনানন্দ দাসের কবিতা 'সুচেতনা' নিয়ে বিস্তারিত আলোচনা করা হয়েছে। এটি উত্তরোত্তর মূল্যায়নের পথে একটি গুরুত্বপূর্ণ কাব্য হিসেবে পরিচিত করা হয়েছে। প্রথমত, বনলতা সেন গ্রন্থের মধ্যে 'সুচেতনা' কবিতার উল্লেখ নেই, তবে দ্বিতীয় সংস্করণে এটি সংযুক্ত হয়েছে। 'সুচেতনা' কবিতাটির মাধ্যমে জীবনানন্দ দাস প্রেম, পরিবার, সমাজ, রাষ্ট্র, ধর্ম ইত্যাদি বিষয়ে চিন্তা প্রকাশ করেন।এই প্রবন্ধে জীবনানন্দের কবিতার ভাষা, অনুভূতি, সামাজিক পরিচিতি এবং রাষ্ট্রনৈতিক বাস্তবতা সম্পর্কে আলোচনা করা হয়েছে। প্রবন্ধটির মাধ্যমে সুচেতনা কবিতার মধ্যে বিভিন্ন উচ্চারণের মতামত এবং তার আধুনিক প্রাসঙ্গিকতা বিশ্লেষণ করা হয়েছে। সুচেতনা কবিতাটি জীবনানন্দ দাসের কবিতা সাহিত্যে এক গুরুত্বপূর্ণ অংশ হিসেবে পরিচিত করে। এটি সামাজিক, রাষ্ট্রীয় এবং মানবিক মূল্যবোধের উন্নতি ও সমর্থন করে। এটির মাধ্যমে জীবনানন্দ দাস প্রায়ই মানুষের মধ্যে প্রেম এবং বিচারের প্রতি উদ্বুদ্ধ করেন।
পত্রিকা ও প্রকাশকাল সম্পর্কে ‘সুচেতনা' কবিতাটি একটু দ্বিধায় পড়তে হয় কেননা কবিতাটি ঠিক কোন্ পত্রিকায় বেরিয়েছিল তার উল্লেখ নেই। আগেও কোনো পত্রিকায় বেরিয়েছিল কিনা সে বিষয়েও নিশ্চিত কোনো প্রমাণ পাওয়া যায়নি (মূলত তাঁর কাব্য সমগ্র ঘেটে)। 'সুচেতনা'র মূল কাব্য গ্রন্থ হল ‘বনলতা সেন'। এই ‘বনলতা সেন' কাব্য গ্রন্থটি যখন পৌষ ১৩৪৯ এ কবিতা ভবন (২০২ রাসবিহারী এভিনিউ কলকাতা) থেকে প্রকাশিত হয় (প্রথম) তখন এর অন্তর্ভুক্ত কবিতা ছিল মোট বারোটি তার মধ্যে '‘সুচেতনা' কবিতাটি ছিল না। কিন্তু বইটির যখন দ্বিতীয় সংস্কারণ (প্রথম সিগনেট সংস্করণ) বের হয় তখন আঠাশ সংখ্যক কবিতা ছিল ‘সুচেতনা’
সুচেতনা নামটি শোনা মাত্রই আমাদের হয়তো মর্মভেদী প্রেমময়ী আকাঙ্ক্ষার এক নারীর কথা মনে হতে পারে সঙ্গে এও মনে হতে পারে এ নিতান্তই প্রেমের কবিতা। এই দৃষ্টিভঙ্গিতে জীবনানন্দের ‘সুচেতনা' কবিতা পাঠ করা নিতান্তই আহাম্মকের কাজ করা হবে, সব চাইতে বড়ো কথা জীবনানন্দকে বা জীবনানন্দের কবিতাকে এক দৃষ্টিতে দেখেই মূল্যায়ন করতে যাওয়া ঠিক হবে না। সুচেতনা কবিতার মধ্যে একই সঙ্গে দ্বিস্তরিক চিন্তা ও ভাবনা প্রবাহিত। একদিকে বোধিসত্তাল অন্যদিকে সারাবিশ্বময় যে রাষ্ট্রনৈতিক সংকট ও সমস্যা হ’ল তার সারাৎসার মর্মবাণী—আরও বলে রাখা ভালো জীবনানন্দ নায়িকার নাম দিয়ে অনেক কবিতাই লিখেছেন কিন্তু সেই নায়িকারা তাদের ব্যক্তি নামে সার্থকতার চেয়ে ব্যঞ্জনাগত নামের সার্থকতায় ছুটেছে অর্থাৎ নায়িকা সংরক্ষিত না হয়ে মৌল সমস্যার দিকে এগিয়ে গেছে তাদের দীর্ঘবশা হাতে করে।
DOI: 10.17632/h34kbkcc4r
title: The synthetic dataset

description: Three synthetics dataset use in the research. The first dataset consists of 5 item variations named A5; the second dataset consists of 10 item variations named A10; and the third dataset consists of 20 item variations named A20.
DOI: 10.17632/zdd7cv2z8s
title: Data&Codes for “Central Bank Currency Swap Arrangements Central Bank Swap Arrangements and Exchange Rate Volatility: Evidence from China” 

description: We estimated all the results in the paper using the R software. Related codes, along with the sample data, are all in the compressed file. There are four data files:
1.	“Exchange.csv” is the monthly exchange rate series used for most empirical analyses.
2.	“Exchangeewma.csv” is the daily exchange rate for later robustness checks.
3.	“Table.csv” is the sample used for later further investigation.
4.	“Swap.xlsx” is the handy-collected data about the detailed information of bilateral currency swap arrangements between the People’s Bank of China (China’s central bank) and central banks of other countries (or regions). Table A1 in the appendix of the paper summarizes this detailed information.
DOI: 10.17632/kxwdb72x57
title: Intraoperative Surgical Planning with Cotton Tip Applicator

description: Video 1. Using the cotton tip applicator for intraoperative surgical planning.
DOI: 10.17632/t8b3rw9tvr
title: Data for: Robust multivariate analysis for mixed-type data: novel algorithm and its practical application in socio-economic research

description: Data used in the two example of the paper Robust multivariate analysis for mixed-type data: novel algorithm and its practical application in socio-economic research. EP2019data.xls from Galeotti M, Salini S, Verdolini E (2020) Measuring Environmental Policy Stringency: Approaches, Validity, and Impact on Energy Efficiency. Energy Policy 136:111052. LaPortadata.xls from La Porta R, Lopez-de Silanes F, Shleifer A, Vishny R (1999) The quality of government. The Journal of Law, Economics, and Organization 15(1):222–279
DOI: 10.17632/5ys9dmmcck
title: Data for: The incorporation of graphene to enhance mechanical properties of polypropylene self-reinforced polymer composites
DOI: 10.17632/t7fvdmfpzm
title: POI data sets

description: This is a set of POI data sets of Shenzhen, Guangzhou, Beijing, and Shanghai cities, China.
DOI: 10.17632/wzhshd9fwb
title: A general program for computing matrix elements in atomic structure with nonorthogonal orbitals

description: Abstract To solve some problems concerning the atomic structure and transition probabilities, one needs to evaluate the matrix elements of various operators with respect to the configuration wave functions formed from the nonorthogonal one-particle orbitals. The program presented performs the angular integration necessary for expressing such matrix elements as weighted sums of radial integrals. Any amount of nonorthogonality between the orbitals may be presented leading to overlap integrals for the ma... Title of program: ZAP_NO Catalogue Id: ADDV_v1_0 Nature of problem In many atomic processes involving inner atomic shells, the relaxation of electron orbitals plays the important role. The relaxation can be most efficiently included into consideration by using the non-orthogonal orbitals for the initial and final state. This requires the evaluating of the matrix elements of various operators with respect to the non- orthogonal one-particle orbitals. Initially, these matrix elements can be expressed as weighted sums of relevant radial integrals, possibly multipl ... Versions of this program held in the CPC repository in Mendeley Data ADDV_v1_0; ZAP_NO; 10.1016/0010-4655(96)00079-3 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/5s846wycp9
title: Data for: Adaptability of AlTiN-based coated tools with green cutting technologies in sustainable machining of 316L stainless steel

description: The research data included: 1. Hardness and elastic modulus of the coated tools 2. Optical microscopy of coated tool at various cutting distances 3. The 3D model and surface profile of AlTiN-based coated tools 4. EDS date
DOI: 10.17632/vczrz497s5
title: Digital economy and economic competitive pressure on local governments: Evidence from China

description: For decades, fiscal decentralization and gross domestic product growth targeting have resulted in fierce economic competition among local governments in China, putting tremendous economic competitive pressure on them. The latter has serious social and economic implications and is a major issue for policymakers. This study analyzes data from China’s 30 provinces for 2011–2021. It demonstrates that digital economic development could considerably reduce economic, competitive pressure on local governments, with trade openness and entrepreneurial dynamism serving as impact mechanisms. This study also found that the alleviating effects are more pronounced in regions with a poor innovation environment, a less developed economy, or lagging human resources. These findings emphasize the important role of the digital economy in increasing regional competitiveness and reducing regional disparities.
DOI: 10.6084/m9.figshare.28850873.v1
title: Controlling False Discovery in CRISPR Screens

description: This dataset supports "Controlling False Discovery in CRISPR screens," which introduced a new module for the Chronos algorithm to assess statistical significance for common research questions in CRISPR screens. It includes two notebooks, HitcallingComparisons.ipynb and HitcallingCB2.ipynb, which together run the Chronos algorithms and competing algorithms on different sets of data and generate the figures used in the manuscript. The input data is divided by screen source, with the zipped directory Achilles containing data from the six Achilles screens used and DeWeirdtRaw the data from DeWeirdt et al (https://doi.org/10.1038/s41467-020-14620-6).
DOI: 10.17632/473zwkxnpw
title: Replication Packet for "Investor Demand, Firm Investment, and Capital Misallocation"

description: Replication files for "Investor Demand, Firm Investment, and Capital Misallocation."
DOI: 10.17632/6xhr6sfsr9
title: Urine Analysis Dataset: Insights into Health Indicators for Kidney, UTI, and Diabetes in Bangladesh

description: This dataset consists of urine analysis data collected from individuals in Bangladesh to study and evaluate various health indicators. The dataset includes physiological and biochemical parameters commonly used for diagnosing kidney diseases, urinary tract infections (UTIs), and diabetes. Key features include specific gravity, pH, glucose, protein levels, and other relevant indicators. The data is structured for ease of analysis and supports machine learning applications to develop predictive health models.

Key Features: Specific gravity, pH, glucose, protein, nitrite, ketone, bilirubin, and more.
Collection Source: Medical centers and local health facilities across Bangladesh.
Intended Use: Health diagnostics and biomedical research.