cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/np54zjkvxr
title: Dataset for: Clonal dynamics of haematopoiesis across the human lifespan

description: These are the datasets to support the manuscript (updated 9th August, 2022 to replace corrupted file in original submission):

Clonal dynamics of haematopoiesis across the human lifespan

Emily Mitchell1,2,3, Michael Spencer Chapman1,#, Nicholas Williams1,#, Kevin J Dawson1,#, Nicole Mende2, Emily F Calderbank2, Hyunchul Jung1, Thomas Mitchell1, Tim Coorens1, David H Spencer4, Heather Machado1, Henry Lee-Six1, Megan Davies5, Daniel Hayler2, Margarete Fabre1,2,3, Krishnaa Mahbubani6,7, Fede Abascal1, Alex Cagan1, George Vassiliou1,2,3, Joanna Baxter3, Inigo Martincorena1, Michael R Stratton1, David Kent8, Krishna Chatterjee9, Kourosh Saeb Parsy6,7, Anthony R Green2,3, Jyoti Nangalia1,2,3*, Elisa Laurenti2,3*, Peter J Campbell1,2*.

# These authors contributed equally.
* These authors contributed equally.

Affiliations

(1)	Wellcome Sanger Institute, Hinxton, CB10 1SA, UK.
(2)	Wellcome-MRC Cambridge Stem Cell Institute, Cambridge Biomedical Campus, Cambridge, CB2 0AW, UK.
(3)	Department of Haematology, University of Cambridge, Cambridge, CB2 2XY, UK.
(4)	Department of Medicine, McDonnell Genome Institute, Washington University, St. Louis, MO, USA.
(5)	Cambridge Molecular Diagnostics, Milton Road, Cambridge, CB4 0FW, UK.
(6)	Department of Surgery, University of Cambridge, Cambridge, CB2 0QQ, UK.
(7)	Cambridge Biorepository for Translational Medicine, NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge CB2 2XY, UK.
(8)	York Biomedical Research Institute, Department of Biology, University of York, York, YO10 5DD, UK.
(9)	Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK.
DOI: 10.17632/xs5nbm4w55
title: Simulated dataset of corn response to Nitrogen over thousands of fields and multiple years in Illinois

description: Nitrogen (N) fertilizer recommendations for corn (Zea mays L.) in the US Midwest have been a puzzle for several decades, without agreement among stakeholders for which methodology is the best to balance environmental and economic outcomes. Part of the reason is the lack of long-term data of crop responses to N over multiple fields since trial data is often limited in the number of soils and years it can explore. To overcome this limitation, we designed an analytical platform based on crop simulations run over millions of farming scenarios over extensive geographies. The database was calibrated and validated using data from more than four hundred trials in the region. This dataset can have an important role for research and education in N management, machine leaching, and environmental policy analysis. The calibration and validation procedure provides a framework for future gridded crop model studies. We describe dataset characteristics and provide thorough descriptions of the model setup.
DOI: 10.17632/b5skz5g88z
title: Replication files for “Making Sovereign Debt Safe with a Financial Stability Fund"

description: Replication files for Liu, Marimon and Wicht (2023), “Making Sovereign Debt Safe with a Financial Stability Fund," Journal of International Economics.
DOI: 10.17632/jtfbcft2r5
title: Application of neural network-based image analysis to detect sister chromatid cohesion defects

description: Sister chromatid cohesion (SCC) is mediated by the cohesin complex and its regulatory proteins. To evaluate the involvement of a protein in cohesin regulation, preparations of metaphase chromosome spreads and classifications of chromosome shapes after depletion of the target protein are commonly employed. Although this is a convenient and approved method, the evaluation and classification of each chromosome shape has to be performed manually by researchers. Therefore, this method is time consuming, and the results might be affected by the subjectivity of researchers. In this study, we developed neural network-based image recognition models to judge the positional relationship of sister chromatids, and thereby detect SCC defects. Transfer learning models based on SqueeezeNet or ResNet-18 were trained with more than 600 chromosome images labeled with the type of chromosome, which were classified according to the positional relationship between sister chromatids. The SqueezeNet-based trained model achieved a concordance rate of 73.1% with the sample answers given by a researcher. Importantly, the model successfully detected the SCC defect in the CTF18 deficient cell line, which was used as an SCC-defective model. These results indicate that neural-network-based image recognition models are valuable tools for examining SCC defects in different genetic backgrounds.
DOI: 10.17632/pxp72h4wdg
title: Warsaw Bike-Sharing Stations Dataset (RAW) - Season 2023

description: This dataset contains information about Warsaw’s bikesharing system, collected every five minutes between May 6 and November 29, 2023. The data cover various aspects of the system, including detailed records of bike trips, station attributes (e.g., distances to points of interest), and comprehensive station snapshots (number of available bikes, bike IDs, etc.). Additionally, it includes geographical data (a 5×5 km grid covering Warsaw) as well as historical weather data (temperature, precipitation, wind) for the same period, aligned with the grid’s centroids.

Data Collection and Scope
1. Frequency of Data Collection:
- Every 5 minutes from May 6 to November 29, 2023.
2. Location:
- City of Warsaw (Poland).
3. Data Types:
- Bikesharing usage (bike movements, station statuses, bike IDs).
- Geospatial attributes of stations and a 5×5 km grid of Warsaw.
- Weather data (recorded at the grid centroids to reduce API calls).

Files Included
1. bike_paths.json
Contains trip records for individual bikes (by bike ID).
- Each entry specifies:
a) from: the station ID where the trip started.
b) to: the station ID where the trip ended.
c) departure_time: date and time the bike left the station.
d) arrival_time: date and time the bike arrived at the next station.

2. bike_stations_with_attributes.geojson
A GeoJSON file describing various attributes of each station, including:
- Distances to points of interest (city center, metro station, bus/tram stop, etc.).
- Population density near the station (e.g., pop_2023).

3. stations.rar
A RAR archive containing 59,694 JSON files. Each file captures the state of all bikesharing stations at a given 5-minute interval.
Information per file (one snapshot in time):
- Date and time (year, month, day, hour, minute).
- List of stations (stations_data), where each station includes:
- Unique station ID (uid), station name, station type.
- Location coordinates (lat, lng).
- Availability status (number of bikes, free racks, etc.).
- Detailed list of bikes currently at the station (bike IDs, types).
- Centroid coordinates for higher-level aggregation.

4. warszawa_centroidy_5km.geojson
A GeoJSON file containing coordinates of centroids for 5×5 km grid cells covering the Warsaw area.
These centroid points were used to minimize the number of calls to the weather API (i.e., stations in the same cell share one centroid for weather queries).

5. warszawa_siatka_5km.geojson
A GeoJSON file containing the polygons (squares) of the 5×5 km grid covering Warsaw.
Useful for spatial analyses (e.g., aggregating station usage by grid cell).

6. weather_data.csv
A CSV file with historical weather data for each centroid during the study period (May 6 – November 29, 2023).
Each record includes:
- Timestamp of the measurement,
- Centroid coordinates (lat, lng),
- Temperature (°C),
- Weather description (e.g., Clear, Rain),
- Precipitation (mm),
- Wind speed (km/h).
DOI: 10.17632/sdh7x7b68d
title: ResNetTCA-assisted synergetic laser-electronic sensor array dataset for multiplegas detection for underground pipeline leakage

description: The dataset can be used for non-profit purpose provided that the following paper is cited: Jianqiao Liu, Yang Ding, Zhengxuan Zhang, Yueming Tao, Ce Fu, and Junsheng Wang. ResNetTCA-assisted synergetic laser-electronic sensor array for multiple gas detection for underground pipeline leakage , IEEE Sensors Journal. DOI: https://doi.org/10.1109/JSEN.2025.3572114.
This paper provies a detailed description of the synergetic laser-electronic sensor array setup.
DOI: 10.17632/2jpy5233nb
title: Techno-economic evaluation of CO2 electrolysis Excel tool

description: Attached Excel tool allows for evaluation of the operational and investments cost for CO2 electrolysis (low and high-temperature, C1 and C2 products). Please see the article "Techno-economic assessment of emerging CO2 electrolysis technologies" by Barecka, Ager and Lapkin for the detailed description of the Excel tool use.
DOI: 10.17632/djx3nh98yr
title: Elemental composition - metal rods from Jodłowno Hoard

description: Elemental composition (XRF) of metal rods from Jodłowno Hoard, northern Poland. Chronology: Early Iron Age
DOI: 10.17632/g3m9zwsz27
title: Data for: Quantification of the effect of oxygen on mechanical properties of TIMETAL 834

description: Data is in the Excel file format. Data enables reproduction of the figures in the publication "Quantification of the effect of oxygen on mechanical properties of TIMETAL 834". Abstract: Atom probe tomography, electron probe microanalysis and nanoindentation was used to characterise the oxygen-rich layer on an in-service aerospace engine compressor disc, manufactured from the titanium alloy TIMETAL 834. Oxygen ingress was quantified and related to changes in mechanical properties through nanoindentation studies. Contributions of crystallography and microstructure to hardness changes are qualitatively discussed. The role of microstructure on oxygen ingress was studied and oxygen ingress along a potential α / β interface was directly observed on the nanoscale using atom probe tomography.
DOI: 10.17632/gstrr47vpr
title: Datasets Spanish-Chilean-TEIQUE-SF

description: Chilean general population dataset. Chilean-Spanish-TEIQUE-SF responses (from item 1 to 30).
DOI: 10.17632/ht2pjmh5cd
title: age model (v1) of sediment core KEC

description: This file, age model of sediment core KEC.xlsx, provides the age control points for sediment core KEC (36.13°N, 158.21°E, water depth 3407 m). This age model is generated for core KEC collected onboard of R/V Tan Kah Kee implementing the open research cruise NORC2022-306 supported by NSFC Shiptime Sharing Project (project number: 42149303).
DOI: 10.17632/8kxbz4ht2c
title: Pantanal deforestation forecast

description: this research aims at predicting Pantanal’s deforestation until 2030 using modern Machine Learning techniques under different scenarios that vary in terms of agricultural production, the number of heads of cattle produced, and the area burned during the years. The model chosen for the study is Extreme Gradient Boosting (XGBoost), an algorithm that combines many simple models sequentially cleverly and yields state-of-the-art results. Our main objective is to simulate different scenarios of agricultural/cattle decisions and burned areas (realistic, optimistic, and pessimistic) that can aid in decision-making for strategic land use decisions in Brazil. As a secondary objective, we want to build a robust and scalable code base so others can contribute to the project, increasing its reach and impact. Finally, hopefully, this project helps ensure this critical biome’s integrity and guarantee future generations’ well-being. The model uses two data sources: The Brazilian Geography and Statistics Institute (IBGE) (https://www.ibge.gov.br/), from which data for land use (ha) by and quantity produced (ton) of temporary and permanent crops from 1985 to 2021 are extracted. From IBGE we also extract the headcount of caddle (in number of heads) in Brazil, from 1985 to 2021. Data for temporary crops can be found at https://sidra.ibge.gov.br/tabela/1612. For permanent crops, in https://sidra.ibge.gov.br/tabela/1613 and for caddle head count in https://sidra.ibge.gov.br/tabela/3939. In this repository, data for these variables are stored in five Excel files: Divided into "culturas_temporarias_1", "culturas_temporarias_2" and "culturas_temporarias_3" (temporary crops), "culturas_permanentes" (permanent crops) and "pecuaria" for headcount. Within crops files, the sheet "Área destinada à colheita (H..." contains the land use information per year in hectares, and the sheet "Quantidade produzida (Tonela..." contains the quantity produced information per year. For caddle heads, there is only one sheet that contains information in number of heads from 1985 to 2021. the second data information is Mpbiomas (https://brasil.mapbiomas.org/), from which we obtain information on land use transitions (in hectares) and forest fires (in hectares). Data can be downloaded from https://brasil.mapbiomas.org/wp-content/uploads/sites/4/2023/08/TABELA-GERAL-MAPBIOMAS-COL8.0-BIOMASxESTADOS-1.xlsx (land use transitions) and https://mapbiomas-br-site.s3.amazonaws.com/downloads/MB-Fogo-2-Biome-State.xlsx (fires). In this repository, data for land use transitions is called "mapbiomas-2021" and for fires is called "mapbiomas-queimadas-2021. The code is also included in this repository (pantanal_deforestation-main.zip) and can be found at https://github.com/iglesiascaio/pantanal_deforestation. To run the model, please read the "READ ME" file. Simply add all Excel files in a single folder and run the code from the same folder. More info on data can be found in the file "metadata".
DOI: 10.17632/bgnzxxh29s
title: Data for: An evaluation of kinetic models for the simulation of Claus reaction furnaces in sulfur recovery units under different feed conditions.

description: The excel sheets include the prediction of the proposed reduced mechanism of the reactions occuring in the thermal unit of a sulfur recovery unit compared to 1) actual plant data for rich/normal/lean acid gas feed 2) prediction by a detailed kientic mechanism and 3) prediction of a published reduced mechanism (Nabikandi and Fatemi 2015).
DOI: 10.17632/jhwz4gzcsb
title: Motor sequence learning data collected continuously for fifteen days of practice using a novel glove-based typing device

description: The dataset is organized into folders and subfolders for easy accessibility and reusability by fellow researchers in the field. The hierarchy of the folders is as follows; root folder signifies the participant ID followed by subfolders indicating different practice sessions (Day 1 to Day 15). The practice session subfolder consists of twelve text files for each of the twelve blocks performed by the participants in a given practice session. The block files were named in the following nomenclature “data_block_(block number).txt”. These text files consist of three columns, and they are as follows column 1-letter (key) pressed/released, column 2- timestamp of pressed/released keys, and column 3- timeline in seconds. Column- 1 registers the pressed key and its corresponding release activity indicated as “LCONTROL”. Column- 2 accounts for the corresponding timestamp of key press and release activities. Column - 3 indicates the key press and release information in terms of seconds. This third column was calculated by subtracting the key press and release timestamp information of all the letters typed in a given block with respect to the first key pressed. Hence, the third column of the first key pressed in any block was considered as the zeroth instance indicated as zero in these files.
DOI: 10.17632/s9c8nv3zpc
title: Field Notes and Personal Communication Summaries - About Tai O Village, Hong Kong - January 2025

description: This dataset includes two documents. One is a field notes summary of an informal interview conducted by Associate Professor Daniel Elkin on January 24, 2025. The informal interview included Mr. Ben Siu Bun Chan and a Mr. Alan Lo, retired and formerly of the Hong Kong Lands Department. The topic of discussion was Tai O Village, Hong Kong, and stilt houses in Tai O Village.

The second document includes text transcribed from Whatsapp and sent to Associate Professor Daniel Elkin on or about the same date. The text is from a different "Mr. Lo," who is described as the son of a stilt house building contractor in Tai O Village. Ben Siu Bun Chan forwarded the text to Elkin on January 24, 2025 as part of their ongoing conversation about stilt housing in Tai O Village.
DOI: 10.6084/m9.figshare.24219244.v1
title: Models for Murphy et al. 2023

description: For species of conservation concern and human-wildlife conflict, it is imperative that spatial population data are available to design adaptive-management strategies and be prepared to meet challenges such as land use and climate change, disease outbreaks, and invasive species spread. This can be difficult, perhaps impossible, if spatially explicit wildlife data are not available. Low-resolution areal counts, however, are common in wildlife monitoring, i.e., number of animals reported for a region, usually corresponding to administrative subdivisions, e.g., region, province, county, departments, or cantons. Bayesian areal disaggregation regression is a solution to exploit areal counts and provide conservation biologists with high-resolution species distribution predictive models. This method originated in epidemiology but lacks experimentation in ecology. It provides a plethora of applications to change the way we collect and analyse data for wildlife populations. Based on high-resolution environmental rasters, the disaggregation method disaggregates the number of individuals observed in a region and distributes them at the pixel level (e.g., 5x5 km or finer resolution), therefore converting the low-resolution data into high-resolution distribution and indices of relative density. In our demonstrative study, we disaggregated areal count data from hunting bag returns to disentangle the changing distribution and population dynamics of three deer species (red, sika and fallow) in Ireland from 2000 to 2018. We show an application of the Bayesian areal disaggregation regression method and document marked increases in relative population density and extensive range expansion for each of the three deer species across Ireland. We challenged our disaggregated model predictions by correlating them with independent deer surveys carried out in field sites and alternative deer distribution models built using presence-only and presence-absence data. Finding high correlation with both independent datasets, we highlighted the accurate ability of Bayesian areal disaggregation regression to capture fine scale spatial patterns of animal distribution. This study opens new scenarios for wildlife managers and conservation biologists to reliably use regional count data disregarded so far in species distribution modelling. Thus, representing a step forward in our ability to monitor wildlife population and meet challenges in our changing world.
DOI: 10.17632/fvjhtskg93
title: Mammogram Mastery: A Robust Dataset for Breast Cancer Detection and Medical Education

description: This dataset presents a comprehensive data comprising breast cancer images collected from patients, encompassing two distinct sets: one from individuals diagnosed with breast cancer and another from those without the condition. The dataset is meticulously curated, vetted, and classified by specialist clinicians, ensuring its reliability and accuracy for research and educational purposes. Hailing from Iraq-Sulaymaniyah, the dataset offers a unique perspective on breast cancer prevalence and characteristics in the region. With 745 original images and 9,685 augmented images, this dataset provides a rich resource for training and evaluating deep learning algorithms aimed at breast cancer detection. The dataset's inclusion of augmented X-rays offers enhanced versatility for algorithm development and educational initiatives. This dataset holds immense potential for advancing medical research, aiding in the development of innovative diagnostic tools, and fostering educational opportunities for medical students interested in breast cancer detection and diagnosis.
DOI: 10.6084/m9.figshare.12934787.v1
title: 3Rb funestus SNPs

description: Single nucleotide polymorphisms within inversion 3Rb (approximate coordinates: 20,512,400 - 33,000,000).<br>
DOI: 10.17632/msvscjgtfp
title: The active space of sperm whale codas: inter-click information for intra-unit communication. doi:10.1242/jeb.246442

description: Publication abstract: Sperm whales (Physeter macrocephalus) are social mega-predators who form stable matrilineal units that often associate within a larger vocal clan. Clan membership is defined by sharing a repertoire of coda types consisting of specific temporal spacings of multi-pulsed clicks. It has been hypothesized that codas communicate membership across socially segregated sympatric clans, while others propose that codas are primarily used for behavioral coordination and social cohesion within a closely spaced social unit. Here, we test these hypotheses by combining measures of ambient noise levels and coda click source levels with models of sound propagation to estimate the active space of coda communication. Coda clicks were localized off the island of Dominica with a four- or five-element 80-meter vertical hydrophone array, allowing us to calculate the median RMS source levels of 1598 clicks from 444 codas to be 161 dB re 1μPa (IQR 153-167), placing codas among the most powerful communication sounds in toothed whales. However, together with measured ambient noise levels, these source levels lead to a median active space of coda communication of about 4 km, reflecting the maximum footprint of a single foraging sperm whale unit. We conclude that while sperm whale codas may contain information about clan affiliation, their moderate active space shows that codas are not used for long range acoustic communication between units and clans, but likely serve to mediate social cohesion and behavioral transitions in intra-unit communication.

Data available: The files beginning with "mergedwav" are synched, multi-track acoustic recordings from deployment 1 of our 80 m hydrophone array. The other four deployments used in the above publication are also available upon request, but not included here due to data storage limitations. Recordings were used to calculate the active space of sperm whale codas. The files beginning with "sw" are matlab files containing the tag data from 23 tag deployments on 16 individual sperm whales from the same population. Tag data was used to determine coda production and dive depths.
doi:10.1242/jeb.246442
DOI: 10.17632/2kcz53pbf2
title: Replication code for "Monetary Policy Transmission in Segmented Markets"

description: Replication code for "Monetary Policy Transmission in Segmented Markets"