cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30645818.v1
title: Supplementary Material for: Ningmitai Capsule Facilitates Residual Fragment Clearance after Ureteroscopic Holmium Laser Lithotripsy: A Multicenter Randomized Controlled Trial

description: Objective To evaluate the efficacy of Ningmitai capsule (NMT), a traditional Chinese medicine, alone or combined with tamsulosin, in promoting residual stone fragment clearance after Ureteroscopic Holmium Laser Lithotripsy (Ho:YAG-URS).
Methods In this multicenter, prospective, randomized controlled trial, 222 patients with distal ureteral residual fragments (3.18 ± 1.14 mm) post-Ho:YAG-URS were assigned to three groups: control (no medication), NMT (0.38g × 4 capsules, 3 times/day), or NMT + tamsulosin (0.4 mg/day). Primary outcome was the stone-free rate (SFR) at 4 weeks. Secondary outcomes included stone expulsion rate, stone-free time, and expulsion time.
Results At 4 weeks, SFRs were 76.19% (control), 92.21% (NMT; p = 0.023 vs. control), and 98.91% (combination; p &lt; 0.001 vs. control). The combination group achieved significantly shorter stone-free time (6.37 ± 2.25 vs. 15.82 ± 21.62 days, p &lt; 0.0001) and expulsion time (2.27 ± 1.17 vs. 6.64 ± 10.56 days, p &lt; 0.0001) compared to the control group. No drug-related adverse events were reported.
Conclusions NMT significantly accelerates residual fragment expulsion post-Ho:YAG-URS, with synergistic effects observed when combined with tamsulosin. This study demonstrates that patients can benefit from Ningmitai capsules alone or combined with tamsulosin, particularly for small fragments where alpha-blockers show limited efficacy.
DOI: 10.6084/m9.figshare.30645821
title: Supplementary Material for: Thyroid Disease and Amyotrophic Lateral Sclerosis

description: Introduction: Thyroid disease has been implicated in the pathology of neurodegenerative diseases. However, its role in amyotrophic lateral sclerosis (ALS) is unclear. This study aimed to investigate the association between thyroid disease, including hypothyroidism and hyperthyroidism, and the risk of ALS. Methods: We used a matched cohort design to evaluate UK Biobank data on participants enrolled between 2006 and 2010 who were followed up until 2022. We used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Results: The study cohort comprised 42,684 patients with thyroid disease (females: 80%). Thyroid disease was moderately associated with an increased risk of ALS development (HR: 1.44, 95% CI: 1.02–2.02), and this association remained similar following adjustment for comparative height at the age of 10 years (HR: 1.44, 95% CI: 1.03–2.03). Hyperthyroidism showed a potential association with an increased risk of ALS development among individuals aged ≤60 years (HR: 21.22, 95% CI: 1.64–274.46) and in females (HR: 3.02, 95% CI: 1.13–8.08). Conclusion: Our findings demonstrate that thyroid disease is associated with a moderately increased risk of ALS development. Given the multifunctional role of the thyroid gland, further in-depth studies examining the relationship between thyroid conditions and ALS are warranted.
DOI: 10.6084/m9.figshare.30645821.v1
title: Supplementary Material for: Thyroid Disease and Amyotrophic Lateral Sclerosis

description: Introduction: Thyroid disease has been implicated in the pathology of neurodegenerative diseases. However, its role in amyotrophic lateral sclerosis (ALS) is unclear. This study aimed to investigate the association between thyroid disease, including hypothyroidism and hyperthyroidism, and the risk of ALS. Methods: We used a matched cohort design to evaluate UK Biobank data on participants enrolled between 2006 and 2010 who were followed up until 2022. We used Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Results: The study cohort comprised 42,684 patients with thyroid disease (females: 80%). Thyroid disease was moderately associated with an increased risk of ALS development (HR: 1.44, 95% CI: 1.02–2.02), and this association remained similar following adjustment for comparative height at the age of 10 years (HR: 1.44, 95% CI: 1.03–2.03). Hyperthyroidism showed a potential association with an increased risk of ALS development among individuals aged ≤60 years (HR: 21.22, 95% CI: 1.64–274.46) and in females (HR: 3.02, 95% CI: 1.13–8.08). Conclusion: Our findings demonstrate that thyroid disease is associated with a moderately increased risk of ALS development. Given the multifunctional role of the thyroid gland, further in-depth studies examining the relationship between thyroid conditions and ALS are warranted.
DOI: 10.15468/dl.a5dzuf
title: Occurrence Download

description: A dataset containing 713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus tetragona",
 "HasCoordinate is true"
 ]
}

 The dataset includes 713 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040997-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vr49dk
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen)",
 "CoordinateUncertaintyInMeters 0.0-30000.0",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera uncia"
 ]
}

 The dataset includes 41 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040998-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7cgjm
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Occurrence evidence, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen)",
 "Geometry POLYGON((88.00513 28.20211,89.32821 23.98147,93.13744 21.71419,93.71736 23.37449,94.21029 23.53409,94.73222 24.19701,95.11433 25.38969,95.73194 26.33841,96.70455 26.74928,97.5961 27.13463,97.32957 29.47207,94.70322 29.88588,93.25342 28.88982,92.27379 28.06836,91.08505 28.04452,91.8145 27.47073,91.82842 27.00273,91.04972 27.02023,89.73347 26.88601,89.07879 26.95605,88.89549 27.3289,88.991 28.30428,88.00513 28.20211))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rubus ellipticus"
 ]
}

 The dataset includes 62 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041001-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ets2vv
title: Occurrence Download

description: A dataset containing 983 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-105.8688 21.74913, -105.7188 21.74913, -105.7188 21.89913, -105.8688 21.89913, -105.8688 21.74913))"
 ]
}

 The dataset includes 983 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040999-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7c5d3t
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen)",
 "CoordinateUncertaintyInMeters 0.0-30000.0",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera uncia"
 ]
}

 The dataset includes 41 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041000-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d75x9x
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parophrys vetulus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 1959"
 ]
}

 The dataset includes 185 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041002-251025141854904/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.28711577
title: Data from: Updated chorotypes of terrestrial vertebrates shed new light on zoogeographical regions in China

description: The R Code and data supporting the main findings of this study. Code to generate main figures of this manuscript.
DOI: 10.6084/m9.figshare.28711577.v2
title: Data from: Updated chorotypes of terrestrial vertebrates shed new light on zoogeographical regions in China

description: The R Code and data supporting the main findings of this study. Code to generate main figures of this manuscript.
DOI: 10.6084/m9.figshare.28711577.v1
title: Data from: Updated chorotypes of terrestrial vertebrates shed new light on zoogeographical regions in China

description: The R Code and data supporting the main findings of this study. Code to generate main figures of this manuscript.
DOI: 10.15468/dl.4q32wf
title: Occurrence Download

description: A dataset containing 138268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "Year 2015-2025"
 ]
}

 The dataset includes 138268 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040921-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcqpbb
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus tetraptera",
 "HasCoordinate is true"
 ]
}

 The dataset includes 318 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041004-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/x284-wn82
title: " TII-SSRC-23 dataset- edited "

description: "ABSTRACT Intrusion Detection Systems (IDSs) are widely used to monitor and protect computer networks, but they often rely on very sensitive traffic data. Handling this kind of data may expose private information or even cause breaches if not treated carefully. To deal with this issue, this work introduces an adaptive hybrid obfuscation model designed to protect data privacy while keeping good detection accuracy for Machine Learning (ML)-based IDS. The model includes three different obfuscation levels\u2014mild, moderate, and strong\u2014each mixing hashing, noise, binning, and masking methods to change the data at different strengths. The researchers tested the framework using the TII-SSRC-23 dataset, after balancing it through under sampling and synthetic oversampling to make the classes balanced. The evaluation was done with TabNet as the main classifier and compared with other models like XGBoost, LightGBM, and k-Nearest Neighbors to verify robustness. Results showed that moderate obfuscation gives the best trade-off between privacy and performance, keeping accuracy around 85%, while strong obfuscation lowered accuracy to about 52%. Overall, the findings show that the proposed method can preserve data privacy without fully breaking model performance, giving a practical step toward safer and more privacy-aware IDS designs."
DOI: 10.15468/dl.57vrfh
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-105.7188 21.74913, -105.5688 21.74913, -105.5688 21.89913, -105.7188 21.89913, -105.7188 21.74913))"
 ]
}

 The dataset includes 160 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041005-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6qcve
title: Occurrence Download

description: A dataset containing 656 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parophrys vetulus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1960",
 "Year is less than or equal to 1969"
 ]
}

 The dataset includes 656 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041006-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15541647
title: Dataset for "Persistent El Niño-like conditions over the western Pacific during the Bølling–Allerød interstadial"

description: Data File 1 provides the pollen data for core CB19 from the NW Borneo Trough. Data File 2 presents the chronological framework, X-ray fluorescence core scanning data, black carbon, magnetic susceptibility, grain size, sedimentation rate, mass accumulation rate, and Sr-Nd isotopic data for core CG18 from the same region. Data File 3 contains the Pacific site data, including the Mg/Ca-derived sea surface temperature (SST) stacks for the WPWP, CEP, and EEP regions, as well as the EEP δ18Osw-iv record.
DOI: 10.5281/zenodo.17637184
title: Dataset for "Persistent El Niño-like conditions over the western Pacific during the Bølling–Allerød interstadial"

description: Data File 1 provides the pollen data for core CB19 from the NW Borneo Trough. Data File 2 presents the chronological framework, X-ray fluorescence core scanning data, black carbon, magnetic susceptibility, grain size, sedimentation rate, mass accumulation rate, and Sr-Nd isotopic data for core CG18 from the same region. Data File 3 contains the Pacific site data, including the Mg/Ca-derived sea surface temperature (SST) stacks for the WPWP, CEP, and EEP regions, as well as the EEP δ18Osw-iv record.
DOI: 10.15468/dl.wq5ufa
title: Occurrence Download

description: A dataset containing 639862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta",
 "Year 2001-2021"
 ]
}

 The dataset includes 639862 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040953-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17636278
title: Hydroclimate Change in Mid-latitude East Asia Linked to Early Cretaceous Weissert Event
DOI: 10.5281/zenodo.17636279
title: Hydroclimate Change in Mid-latitude East Asia Linked to Early Cretaceous Weissert Event
DOI: 10.15468/dl.pk5k7h
title: Occurrence Download

description: A dataset containing 825 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((101.02532 13.36764,101.15268 13.36764,101.15268 13.48826,101.02532 13.48826,101.02532 13.36764))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 825 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041007-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.274wkn
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus thamnoides",
 "HasCoordinate is true"
 ]
}

 The dataset includes 261 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041008-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqksbc
title: Occurrence Download

description: A dataset containing 3771 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-105.5688 21.74913, -105.4188 21.74913, -105.4188 21.89913, -105.5688 21.89913, -105.5688 21.74913))"
 ]
}

 The dataset includes 3771 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041009-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.untzsv
title: Occurrence Download

description: A dataset containing 796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pinaceae, Cupressaceae, Taxaceae, Podocarpaceae, Fagaceae, Betulaceae, Juglandaceae, Prunus, Malus, Crataegus, Sorbus, Amelanchier, Ulmaceae, Moraceae, Rhamnaceae, Sapindaceae, Simaroubaceae, Anacardiaceae, Malvaceae, Magnoliaceae, Lauraceae, Salicaceae, Platanaceae, Oleaceae, Bignoniaceae, Cornaceae, Hamamelidaceae, Oxydendrum, Arbutus, Robinia, Cercis, Gleditsia, Gymnocladus, Cladrastis, Albizia, Rutaceae, Aquifoliaceae, Nyssaceae, Araliaceae, Caprifoliaceae, Tamaricaceae, Elaeagnaceae)",
 {
 "or" : [
 "Geometry POLYGON ((-113.00990000036005 48.998618182192665, -111.93970365430111 46.883425714196356, -109.90671945827698 47.55839835571536, -110.15927621725015 48.043731541774626, -109.28909409404797 47.94340612629421, -109.3178539391302 48.19942705625122, -109.83434408464525 48.105219383346906, -109.7403938040534 48.349995671084706, -109.39503516581236 48.2881756120001, -109.13213802391044 48.120454061519716, -109.05493253895993 48.15974233137398, -109.02915396310408 48.26955551807482, -108.87649588097042 48.008459172857634, -109.00998133183768 47.94794177012124, -108.71971065974137 47.69908185502849, -107.89161111429195 47.50319226561162, -104.57386034383536 47.312477655227084, -102.74521426822591 48.53885189012902, -99.89164682483502 46.3583586979044, -99.9643002206473 43.07436070161857, -98.03353722712647 42.11873598315419, -97.8710073659481 43.13936779909247, -98.83291553208588 44.49619231622114, -99.64296028902385 44.61230838068614, -99.24684287467565 47.346837238144495, -103.6697991822154 48.99943130942142, -113.00990000036005 48.998618182192665), (-111.56219451866895 48.970407498301476, -111.50944925925536 48.92546814832712, -111.57159608585306 48.92597121420784, -111.56219451866895 48.970407498301476), (-111.1068875377792 48.83722076126589, -111.18284031601704 48.860954300205755, -111.11839147966894 48.87015083122607, -111.1068875377792 48.83722076126589), (-110.51327384677084 47.57544118967151, -110.39427019763711 47.48312968651501, -110.64824859396111 47.35825648517378, -110.51327384677084 47.57544118967151), (-109.10135971762217 48.15014606840062, -109.24623635509548 48.20076892517118, -109.14870086878395 48.201582642442894, -109.10135971762217 48.15014606840062), (-108.55105514427406 48.02749687765451, -108.40093572868486 47.96055458755654, -108.68384479351253 47.840528718410965, -108.55105514427406 48.02749687765451))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "Year is greater than or equal to 1980",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 796 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040989-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14457/tu.the.2024.1160
title: New economic geography perspectives: resource asymmetry, crowding, and knowledge capital

description: This dissertation investigates the underlying mechanisms driving regional economic disparities in developing economies, with a particular focus on asymmetric resource endowments, urban congestion, and knowledge spillovers. By extending the theoretical foundations of New Economic Geography (NEG), this study develops the Asymmetric Endowment Linear Capital (AELC) Model to capture the effects of uneven resource distribution on capital flows and industrial agglomeration. Additionally, an expanded Footloose Entrepreneur (FE) Model is introduced to analyze the impact of urban congestion on skilled labor mobility and regional competitiveness. Empirical analyses further examine the role of knowledge spillovers in shaping regional economic trajectories, with China serving as the primary case study. The findings reveal that asymmetric resource endowments contribute to persistent economic divergence, as resource-rich regions attract greater investment while resource-poor areas face structural constraints. Urban congestion presents a dual challenge, driving economic concentration while simultaneously impeding labor mobility and increasing regional imbalances. Furthermore, knowledge spillovers exhibit highly uneven effects, reinforcing disparities between innovation hubs and peripheral regions.Based on these insights, this study offers a set of policy recommendations aimed at mitigating regional inequalities, including targeted investment in infrastructure, enhanced mechanisms for knowledge diffusion, and strategic urban planning to alleviate congestion effects. While this research is centered on China, its theoretical contributions and empirical findings have broader implications for regional development policies in other emerging economies. By integrating advanced theoretical modeling with empirical validation, this dissertation provides a comprehensive framework for understanding and addressing spatial economic disparities in an era of rapid globalization and technological change.