cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29391311
title: Spatial-temporal evolution of natural gas supply and demand in China

description: Studying the spatiotemporal evolution patterns of natural gas supply and demand is of significant importance for optimizing resource allocation and formulating energy policies. This study examines the spatiotemporal evolution of natural gas supply and demand in China from 2004 to 2022, using Lorenz curve analysis, gravity center model, and Moran's index. The research reveals that the total supply and demand of natural gas in China have been steadily increasing, with 2009 marking the turning point from a tight balance to a shortage in demand. Regional disparities in natural gas production and consumption are widening, with a high degree of production concentration and clear geographical clustering characteristics. Consumption patterns have undergone significant adjustments, and the overall regional aggregation index shows a trend of decline stabilizing. The gravity center of production initially moved northwest before returning southeast, while the consumption center consistently shifted southeast, showing a dynamic deviation-stabilization process. There exists a significant positive spatial correlation between natural gas production and consumption, albeit with notable differences in spatial clustering characteristics among different provinces. Enhancing supply resilience, optimizing spatial layout, and strengthening policy guidance can effectively respond to changes in natural gas supply and demand, ensuring national energy security.
DOI: 10.6084/m9.figshare.29391311.v1
title: Spatial-temporal evolution of natural gas supply and demand in China

description: Studying the spatiotemporal evolution patterns of natural gas supply and demand is of significant importance for optimizing resource allocation and formulating energy policies. This study examines the spatiotemporal evolution of natural gas supply and demand in China from 2004 to 2022, using Lorenz curve analysis, gravity center model, and Moran's index. The research reveals that the total supply and demand of natural gas in China have been steadily increasing, with 2009 marking the turning point from a tight balance to a shortage in demand. Regional disparities in natural gas production and consumption are widening, with a high degree of production concentration and clear geographical clustering characteristics. Consumption patterns have undergone significant adjustments, and the overall regional aggregation index shows a trend of decline stabilizing. The gravity center of production initially moved northwest before returning southeast, while the consumption center consistently shifted southeast, showing a dynamic deviation-stabilization process. There exists a significant positive spatial correlation between natural gas production and consumption, albeit with notable differences in spatial clustering characteristics among different provinces. Enhancing supply resilience, optimizing spatial layout, and strengthening policy guidance can effectively respond to changes in natural gas supply and demand, ensuring national energy security.
DOI: 10.15468/dl.sx9rr6
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "DatasetKey is C.P. Gillette Museum of Arthropod Diversity",
 "TaxonKey is Speyeria idalia (Drury, 1773)"
 ]
}

 The dataset includes 57 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067187-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15602791
title: ECG Recordings Filtered
DOI: 10.34740/kaggle/dsv/12210749
title: Vibration Dataset of CCS/IEPE sensor AS-062
DOI: 10.6084/m9.figshare.28122434
title: Data_MaizeLimitMovement

description: Climate warming is driving the northward movement of crop planting limits, especially for maize in Northeast China. While previous studies focused on dynamics of the potential northern limit of maize (PNLine), the movement of the actual northern limit of maize (ANLine) and its agricultural impact remain underexplored. To bridge the gap, this study firstly developed a method to detect the ANLine using satellite-derived crop data and kernel density estimation. To assess the driving factors behind the expansion of maize acreage, an empirical analysis was conducted in the maize-soybean key competitive region (KCR). Finally, we calculated the climate-warming driven maize acreage expansion over the past two decades and projected its changes for the next decade. Results showed that the PNLine and ANLine moved northwards by an average of 101.67 and 75.4 km from 2000 to 2020. The two lines showed a strong correlation (r=0.78, p&lt;0.05). The increasing accumulated temperature was the key driver behind these movements. A 10 ℃·d increase in AAT10 is associated with a 3.12% increase in maize acreage in the KCR. From 2001 to 2020, ~49.5% (2.83×10<sup>6</sup> ha) of the maize acreage expansion could be attributable to climate warming. By 2030, climate warming is projected to expand the maize acreage by 2.43, 2.66 and 3.19 ×10<sup>6</sup> ha under SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios. These findings highlight the need for strategies to narrow the profit gap between maize and soybean and offer insights for regional crop planting structure adjustments and agricultural sustainability under climate change.
DOI: 10.6084/m9.figshare.28122434.v3
title: Data_MaizeLimitMovement

description: Climate warming is driving the northward movement of crop planting limits, especially for maize in Northeast China. While previous studies focused on dynamics of the potential northern limit of maize (PNLine), the movement of the actual northern limit of maize (ANLine) and its agricultural impact remain underexplored. To bridge the gap, this study firstly developed a method to detect the ANLine using satellite-derived crop data and kernel density estimation. To assess the driving factors behind the expansion of maize acreage, an empirical analysis was conducted in the maize-soybean key competitive region (KCR). Finally, we calculated the climate-warming driven maize acreage expansion over the past two decades and projected its changes for the next decade. Results showed that the PNLine and ANLine moved northwards by an average of 101.67 and 75.4 km from 2000 to 2020. The two lines showed a strong correlation (r=0.78, p&lt;0.05). The increasing accumulated temperature was the key driver behind these movements. A 10 ℃·d increase in AAT10 is associated with a 3.12% increase in maize acreage in the KCR. From 2001 to 2020, ~49.5% (2.83×10<sup>6</sup> ha) of the maize acreage expansion could be attributable to climate warming. By 2030, climate warming is projected to expand the maize acreage by 2.43, 2.66 and 3.19 ×10<sup>6</sup> ha under SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios. These findings highlight the need for strategies to narrow the profit gap between maize and soybean and offer insights for regional crop planting structure adjustments and agricultural sustainability under climate change.
DOI: 10.15468/dl.brwmnx
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rheum palmatum L."
 ]
}

 The dataset includes 345 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067188-250525065834625/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.28122434.v2
title: Data_MaizeLimitMovement

description: Climate warming drives northward movements of crop planting limits, especially for maize in Northeast China. Earlier studies more focused on dynamics of the potential northern limit of maize (PNLine), yet knowledge on how climate warming driven movements of the actual northern limit of maize (ANLine) and its corresponding impact on regional agriculture are limited. To bridge the gap, this study firstly developed a method to detect the ANLine by using satellite-derived crop data and kernel density estimation. Spatio-temporal relationships between PNLine and ANLine were further investigated based on the fishnet method. To assess the driving factors behind the expansion of maize acreage, an empirical analysis was conducted in the maize-soybean key competitive region (KCR). Based on the fixed effects estimation, we finally calculated the climate-warming driven maize acreage expansion over the past two decades and projected its changes for the next decade. Results showed that from 2000 to 2020, the PNLine and ANLine moved northwards by an average of 101.67 and 75.4 km. The two lines showed a strong correlation (r = 0.78, p &lt; 0.05). The increasing accumulated temperature was the key driver behind these movements. A 10 ℃·d increase in AAT10 is associated with a 2.74% increase in maize acreage in the KCR. From 2000 to 2020, ~ 43.5% (2.49×104 km²) of the maize acreage expansion could be attributable to climate warming. By 2030, climate warming is projected to expand the maize acreage by 2.07×104 and 2.72×104 km² under SSP2-4.5 and SSP5-8.5 scenarios. It means that to offset maize acreage expansion led by climate warming in Northeast China, more strategies would be needed to narrow the profit gap between maize and soybean. These findings could provide valuable references for regional crop planting structure adjustments and agricultural sustainability under climate change.
DOI: 10.15468/dl.fdgrgc
title: Occurrence Download

description: A dataset containing 1051 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros biológicos de aves de la ciudad de Barranquilla y alrededores"
 ]
}

 The dataset includes 1051 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067189-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15730207
title: Soil based ecosystem services of Emilia-Romagna (NE Italy)

description: The data set contains 100m resolution raster maps (GEO-TIF format) of eight soil-based ecosysme services (SES) plus a syntetic index of Soil Quality (IQ4). The SES are: buffering capacity (BUF), carbon sequestration (CST), erosion control (ERSPRO), food provision (PRO), biomass provision (BIOMASS), water regulation (WAR), water storage (WAS), and habitat for soil biodiversity (BIO).  The raster referenc system is RDN2008 / UTM zone 32N - EPSG:7791
DOI: 10.5281/zenodo.15730208
title: Soil based ecosystem services of Emilia-Romagna (NE Italy)

description: The data set contains 100m resolution raster maps (GEO-TIF format) of eight soil-based ecosysme services (SES) plus a syntetic index of Soil Quality (IQ4). The SES are: buffering capacity (BUF), carbon sequestration (CST), erosion control (ERSPRO), food provision (PRO), biomass provision (BIOMASS), water regulation (WAR), water storage (WAS), and habitat for soil biodiversity (BIO).  The raster referenc system is RDN2008 / UTM zone 32N - EPSG:7791
DOI: 10.15468/dl.3hd63r
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Caledonia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Myrsine discocarpa (M.Schmid) Ricketson & Pipoly"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067190-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17635/lancaster/researchdata/55
title: Zika virus review Figure 1

description: Data used in figure 1 of the Zika virus paper
DOI: 10.17635/lancaster/researchdata/609
title: Distinguishing between deterministic oscillations and noise - data and code

description: Data and code associated with the paper "Distinguishing between deterministic oscillations and noise".Description
DOI: 10.17635/lancaster/researchdata/79
title: CAFTAN evaluation data

description: Performance and user interpretation data for the CAFTAN prototype, a
      keyword search application that operates over relational databases. The
      contents of the movie database the evaluation data was generated from is
      also included in the form of a MySQL dump. This data is part of the PhD
      thesis "Easing access to relational databases" by Philip Garner.
DOI: 10.17635/lancaster/researchdata/96
title: COrpus of Urdu News TExt Reuse (COUNTER)

description: The corpus contains 600 source-derived document pairs collected from the
      field of journalism. We believe these documents will be useful to evaluate
      mono-lingual text reuse detection systems in general and specifically for
      Urdu language.
DOI: 10.17635/lancaster/researchdata/47
title: Interview transcripts for parents' understandings of child's
      journey into offending behaviours

description: Transcripts of interviews with participants relating to linked
      publication. Given the sensitive nature of the data, the ethical approval
      is for only the authors to have access to the data and for it to be
      destroyed after 5 years.
DOI: 10.17635/lancaster/researchdata/608
title: Processed airline slot request data for a coordinated airport

description: Due to confidentiality concerns, supporting data cannot be made openly available. For further information, please contact the Research Data Management Team.Description
DOI: 10.17635/lancaster/researchdata/115
title: Smartphone personality/individual differences data

description: Summary data set associated with linked article ‘Predicting Smartphone
      Operating System from Personality and Individual Differences '
DOI: 10.17635/lancaster/researchdata/385
title: Data and scripts for extracting plant names and collocates from historical texts

description: This zip file contains data and scripts related to extracting plant names and collocates from historical texts and to geoparse the collocates as described in the linked paper
DOI: 10.17635/lancaster/researchdata/39
title: The impact of MBA programme attributes on post-MBA salaries [Dataset]

description: Data to accompany paper with title above
DOI: 10.17635/lancaster/researchdata/624
title: Survey and interview data collected from older adults in Ireland July-October 2021

description: Survey and interview data were collected from adults over the age of 55 years in Ireland. The overarching research aim of this PhD project was to address the question, To what extent, and how, can intergenerational relationships support the development of digital skills through informal and non-formal lifelong learning exchanges amongst older adults in Ireland?Description
DOI: 10.15468/dl.7tw7q2
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus graecizans",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009525-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17635/lancaster/researchdata/97
title: Code and Datasets for "Minimum Density Hyperplanes"

description: The zip files contain code (in MATLAB) implementing the clustering and
      semi-supervised algorithms proposed in the paper "Minimum Density
      Hyperplanes". The publicly available datasets used in this paper are
      also included. The code is released under the LGPL licence,
      https://www.gnu.org/licenses/lgpl-3.0.txt
DOI: 10.15468/dl.8scqb2
title: Occurrence Download

description: A dataset containing 221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.09815 52.34919,13.88248 52.34919,13.88248 52.69008,13.09815 52.69008,13.09815 52.34919))",
 "HasGeospatialIssue is false",
 "TaxonKey is Reynoutria sachalinensis"
 ]
}

 The dataset includes 221 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009524-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17635/lancaster/researchdata/386
title: Dataset for "Nonparametric time series summary statistics for high-frequency accelerometry data from individuals with advanced dementia"

description: Accelerometry data files for the publication: Suibkitwanchai, K., Sykulski, A. M., Perez Algorta, G., Waller, D., and Walshe, C. (2020).
DOI: 10.17635/lancaster/researchdata/628
title: Survey data collected from young adults in Ireland September-October 2020

description: Excel file of raw survey data collected for a module assignment paper and subsequently published in the Journal of Intergenerational Relationships.Description
DOI: 10.17635/lancaster/researchdata/122
title: Data set for "Experimental insights into pyroclast-ice heat transfer
      in water-drained, low pressure cavities during subglacial explosive
      eruptions"

description: Data set supporting manuscript with the title above submitted to Journal
      of Geophysics: Solid Earth in December 2016
DOI: 10.17635/lancaster/researchdata/630
title: Ageing dataset

description: Data from "Aging affects the phase coherence between spontaneous oscillations in brain oxygenation and neural activity", Brain Research Bulletin, 2023. This dataset replaces the one found at: 10.17635/lancaster/researchdata/427Description
DOI: 10.17635/lancaster/researchdata/147
title: Dataset for Electro-mechanical dynamics of spiral waves in a discrete 2D
      model of human atrial tissue
DOI: 10.17635/lancaster/researchdata/389
title: REACT trial main outcome data - online trial of clinical and cost effectiveness (NIHR HTA)

description: De-identified datasets from trial to be shared 12 months following date of publication. https://www.journalslibrary.nihr.ac.uk/programmes/hta/144934#/
DOI: 10.17635/lancaster/researchdata/390
title: WOT? Insights into the flows and fates of e-waste in the UK

description: REPIC commissioned the Pentland Centre of Sustainability in Business at Lancaster University to independently investigate and report on existing models and available data for post-consumer e-waste forecasting. The dataset contains the following: Prototype_dynamic_POM_WG_fridges_V2 developed by DY UNU_UK_Protocol.zip - developed by DY and ISB Interactive UNU-UK-EU-SMW Mapping Tool - DY and ISB Supplementary Materials - Part 1 Include Technical description of the time-varying UNU-UK-EU mapping protocols for POM and WG and Part 2 Technical Description of the prototype dynamic model for POM and WG of fridges in UK (number of units) Additional plots
DOI: 10.17635/lancaster/researchdata/150
title: Probability of partially decoding network-coded messages [data]

description: Data for the generation of the figures presented in the paper
      "Probability of partially decoding network-coded messages",
      which has been accepted for publication in IEEE Communications Letters.
DOI: 10.17635/lancaster/researchdata/631
title: Huntington's disease and controls dataset

description: Data from participants with Huntington's disease and controls. This dataset replaces the one found at: 10.17635/lancaster/researchdata/416Description
DOI: 10.17635/lancaster/researchdata/148
title: Cardiovascular ageing hypertension

description: Dataset containing simultaneous recordings of Electrocardiogram (ECG),
      Respiratory effort (RESP) and right wrist Laser Doppler Flowmetry (LDF)
      from 29 healthy young (Y, aged 24.4±3.4 years), 22 healthy aged (A, aged
      71.1±6.6 years) and 29 treated hypertensive (H, aged 70.3±6.7 years)
      subjects. All the signals are re-sampled at 40Hz. The duration of the
      recordings differs between subjects and it is around 30 minutes.
DOI: 10.17635/lancaster/researchdata/633
title: Patterson et al., 2023(b) Model Data

description: Data used in producing the results of 'Modeling "Wrong Side" Failures Caused by Geomagnetically Induced Currents in Electrified Railway Signaling Systems in the UK' (2023) by Patterson et al.Description
DOI: 10.17635/lancaster/researchdata/635
title: Data for "Modelling Electrified Railway Signalling Misoperations During Extreme Space Weather Events" by Patterson et al., 2023

description: Data used in the study "Modelling Electrified Railway Signalling Misoperations During Extreme Space Weather Events" by Patterson et al., 2023.Description
DOI: 10.17635/lancaster/researchdata/636
title: A quadrant shrinking heuristic for solving the dynamic multi-objective disaster response personnel routing and scheduling problem

description: In this file, we provide data regarding the location of the demand points and disaster response personnel bases that are used in the computational experiments of the following paper: 'Tarhan, I., Zografos, K.G., Sutanto, J. and Kheiri, A. (2023). A quadrant shrinking heuristic for solving the dynamic multi-objective disaster response personnel routing and scheduling problem, European Journal of Operational Research (https://doi.org/10.1016/j.ejor.2023.09.002)'. Description
DOI: 10.17635/lancaster/researchdata/398
title: Macronutrient (TC, TN and TP) concentrations and time series of rainfall, discharge and suspended sediment concentrations of 2018 and 2019

description: Data set of water level (h in m), discharge (q in m3sec-1) with upper and lower 95%-CI, turbidity (turb in FTU), suspended sediment concentration (tss in mg L-1) with upper and lower 95%-CI, rainfall (R in mm per 10 minutes), total nitrogen (TN in %), total carbon (TC in %), CN ratio (%) and total phosphorus (TP in g kg-1).Description
DOI: 10.6084/m9.figshare.30188821
title: <b>Tortoise Oligopeptides</b><b> Augment Cyclophosphamide's Antitumor Activity Through Dual Modulation of Therapeutic Efficacy and Hematologic Toxicity</b>

description: Cyclophosphamide (CTX) is a widely used chemotherapeutic agent, but its efficacy is often limited by leukopenia, a common adverse effect for which effective preventive strategies are currently lacking. In this study, oligopeptides were prepared from a blend of three edible tortoise species (Cuora trifasciata, Mauremys mutica, and Chinemys reevesii) and evaluated for their potential to alleviate CTX-induced leukopenia. The resulting Tortoise Oligopeptides (TOPs) were characterized primarily as small molecules with molecular weights under 5 kDa and peptide lengths between 4–15 amino acids, rich in glycine, glutamic acid, and proline. In a mouse model, TOPs administration significantly ameliorated CTX-induced leukopenia in a dose-dependent manner, attenuated pathological damage in the spleen and femur, and correlated with elevated serum levels of IL-4, IL-1β, TNF-α, and IFN-γ. In CTX-treated tumor-bearing mice, TOPs not only reduced leukopenia but also enhanced the antitumor efficacy of CTX. Correlation analyses linked leukocyte recovery to increased relative abundance of gut microbiota genera such as Colidextribacter, Tyzzerella, Prevotellaceae_UCG_001, and Rikenella. KEGG pathway analysis and fecal microbiota transplantation (FMT) experiments indicated that TOPs alleviate CTX-induced granulocytopenia partly through modulation of the gut microbiota. Additionally, LC-MS/MS sequencing combined with bioinformatic prediction and molecular docking identified several peptides—including PAIPAPPVGPGPK, FSFPTLPF, and PGLPFHP—with high binding affinity to key tumor targets (BCL-2, MDM2, EGFR), suggesting intrinsic antitumor properties. These findings indicate that TOPs may serve as a specialized medical food to mitigate CTX-induced leukopenia through multimodal mechanisms involving immunonutrition, gut microbiota regulation, and direct antitumor peptide effects.