cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-x5g-cjd3
title: Plangebied watergangen te Elst, gemeente Overbetuwe; inventariserend veldonderzoek (proefsleuven) en archeologische begeleiding (conform KNA protocol opgraven) Plangebied Watergangen te Elst

description: &lt;p&gt;&lt;p&gt;In opdracht van ADCIM heeft RAAP Archeologisch Adviesbureau in 2014 een proefsleuvenonderzoek en een archeologische begeleiding uitgevoerd in verband met de verbreding van watergangen in de gemeente Overbetuwe.&lt;/p&gt;&lt;p&gt;&lt;p&gt;Het doel van het proefsleuvenonderzoek was het toetsen en aanvullen van de gespecificeerde archeologische verwachting voor het onderzochte gebied, waarbij het in eerste instantie ging om het (al dan niet) vaststellen van de aanwezigheid van archeologische grondsporen. Voorts diende het onderzoek zich te richten op de aard, omvang, datering, kwaliteit (gaafheid en conservering) en diepteligging van eventueel aanwezige archeologische grondsporen en resten.&lt;/p&gt;&lt;p&gt;&lt;p&gt;De archeologische begeleiding (protocol opgraven) had met name betrekking op resten uit de Tweede Wereldoorlog. In het gebied waarin het plangebied ligt, vonden in de periode 1940-45 meermaals grondgevechten plaats tussen strijdende partijen.&lt;/p&gt;&lt;p&gt;&lt;p&gt;Bij het proefsleuvenonderzoek werden ondanks de hoge verwachting op het aantreffen van resten uit de periode IJzertijd-Nieuwe tijd slechts enkele geïsoleerde vondsten gedaan. Er is daarom geen aanvullend onderzoek gedaan.&lt;/p&gt;&lt;p&gt;&lt;p&gt;Bij de archeologische begeleiding werden drie munitieonderdelen gevonden die gerelateerd kunnen worden aan de Tweede Wereldoorlog. Het gaat om een Brits munitiepatroon, een vooroorlogs Nederlands oefenpatroon en een messing plaatje, vermoedelijk van een ontsteker, van onbekende makelij.&lt;/p&gt;
DOI: 10.17026/dans-x5g-y6ww
title: Kerkstraat/burgemeester Pelzerstraat te Waubach RAAPrap_6073_WAUKE3_20221201_compleet

description: &lt;p&gt;&lt;p&gt;RAAP bv heeft een archeologische begeleiding uitgevoerd in het kader van de herinrichting van de Kerstraat en Burgemeester Pelzerstraat in Waubach, gemeente Landgraaf.&lt;br&gt;&lt;p&gt; Tijdens het onderzoek zijn slechts enkele karrensporen aangetroffen in de Kerkstraat. Dat deze sporen hier aangetroffen zijn is niet verrassend. De Kerkstraat is zeker al vanaf 1805 (en vermoedelijk ook al eerder) in gebruik als weg, welke de twee gehuchten Waubach en Groenstraat met elkaar verbond. Het is echter niet duidelijk uit welke periode de karresporen precies dateren, vanwege het gebrek aan vondstmateriaal. Het enige vondstmateriaal dat aangetroffen is, is niet te koppelen aan een spoor of structuur en bestaat uit een fragment Maaslands witbakkend aardewerk.&lt;/p&gt;
DOI: 10.15468/dl.e2pte4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mormyrops parvus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055610-250827131500795/datasets/export for details.
DOI: 10.21227/k119-w370
title: Ultrasound imaging settings can optimize spatial frequency analysis and pathology discrimination in supraspinatus tendon

description: Ultrasound (US) provides non-invasive visualization of tissue morphology for musculoskeletal disorders. Spatial Frequency Analysis (SFA) of US images quantitatively characterizes tissue morphology, and has shown the ability to distinguish healthy from pathological tendons. However, the impact of US machine settings on SFA for tendon pathology remains underexplored. Methods: Five participants with unilateral supraspinatus tendon partial tears were imaged bilaterally to examine how variations in US settings (frequency, dynamic range, gain) influence SFA parameters. Tendons were scanned at 9 and 12 MHz with all possible dynamic range and gain combinations, resulting in 1680 images processed via SFA. A linear mixed-effects model analyzed the impact of US settings and tendon conditions on four SFA parameters. Results: The SFA peak spatial frequency radius (PSFR) significantly differed between healthy and pathological tendons, regardless of machine settings (Coef. = 0.55, SE = 0.04, p &lt; 0.001). The 12 MHz frequency notably enhanced PSFR’s discriminatory power, showing higher values in healthy tendons (mean PSFR = 1.34 mm⁻¹) and lower in partial tears (mean PSFR = 1.09 mm⁻¹) compared to 9 MHz (healthy = 1.22 mm⁻¹, partial tear = 1.04 mm⁻¹). P6, Q6, and Amax parameters were affected by machine settings. P6 and Q6 differentiated tendon conditions but required consistent dynamic range settings. Conclusion: Optimal US settings enhance SFA's ability to discriminate between healthy and pathological supraspinatus tendons, with PSFR as the most robust parameter. 12 MHz significantly improves PSFR’s discriminatory capability. Consistency in US parameters is crucial for reliable SFA results, particularly for P6 and Q6.
DOI: 10.15468/dl.cxa6en
title: Occurrence Download

description: A dataset containing 18245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Colombia, Ecuador, Peru, Venezuela (Bolivarian Republic of), Bolivia (Plurinational State of), Paraguay)",
 "DatasetKey is one of (Herbario Nacional Colombiano (COL), Tropicos Specimens Non-MO, Tropicos MO Specimen Data, The New York Botanical Garden Herbarium (NY), Primer censo de plantas leñosas de una Parcela Permanente de 25 hectáreas, ubicada en la Reserva Natural La Planada (Nariño, Colombia), Segundo censo de plantas leñosas de una Parcela Permanente de 25 hectáreas, ubicada en la Reserva Natural La Planada (Nariño, Colombia), RB - Rio de Janeiro Botanical Garden Herbarium Collection, NMNH Extant Specimen Records (USNM, US), NY herbarium - The New York Botanical Garden - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA, Field Museum of Natural History (Botany) Seed Plant Collection)",
 "GbifRegion is Latin America and the Caribbean",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Celastraceae"
 ]
}

 The dataset includes 18245 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024809-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/8960245
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.15468/dl.fyt3yf
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-89.41702703721737 14.09632648617195,-88.95131047470966 14.09632648617195,-88.95131047470966 14.562043048679644,-89.41702703721737 14.562043048679644,-89.41702703721737 14.09632648617195))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leptodactylus silvanimbus McCranie, Wilson & Porras, 1980"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024810-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jeefc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-91.67907 17.25323,-90.98812 17.25323,-90.98812 17.66417,-91.67907 17.66417,-91.67907 17.25323))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Brosimum alicastrum Sw."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024811-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23v4zb
title: Occurrence Download

description: A dataset containing 506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucalyptus glaucescens Maiden & Blakely"
 ]
}

 The dataset includes 506 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024812-240626123714530/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.26304832
title: <b>缺血性视神经病变药物治疗的比较疗效和可接受性：多种治疗荟萃分析</b><b> - </b>Data.zip

description: <b>抽象</b><b>背景</b> 在传统的荟萃分析中，许多药物在治疗缺血性视神经病变 （ION） 方面无效。通过荟萃分析评估所有/10 种药物治疗 ION 的效果，使用多种治疗的直接和间接比较。<b>方法 </b>本系统评价纳入了 1994 年 4 月至 2022 年 5 月的 9 项随机对照试验（1012 名受试者），比较了以下抗离子药物的疗效：安慰剂 （PLA）、雷珠单抗 （RAN）、地塞米松 （DEX）、泼尼松龙 （PRE）、氧气 （OX）、曲克芦丁 （TRO）、RPh201、促红细胞生成素 （ERY）、左旋多巴 + 卡比多巴 （LEV+CAR） 和泼尼松龙 + 雷尼替丁 （PRE+RA）。成功的主要衡量标准是对治疗有反应或停止研究的患者百分比。进行意向性治疗分析。<b>结果</b> DEX、PRE、OX、TRO、ERY、LEV+CAR和PRE+RA明显优于PLA（比值比分别为43.64、1.19、1.17、4.22、2.64、3.32和1.10）。RAN明显比DEX（或1.67）更有效。RPh201的有效性明显低于所有其他药物。对解放军的接受度很好。<b>总体而言</b>，<b> </b>RAN 和 DEX 是治疗 ION 的最佳选择。因此，在临床实践中应考虑这些结果。
DOI: 10.15468/dl.jfan9t
title: Occurrence Download

description: A dataset containing 16251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.48_1, USA.38_1, USA.13_1)",
 "TaxonKey is Vireo olivaceus (Linnaeus, 1766)"
 ]
}

 The dataset includes 16251 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024813-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12704924
title: 'Reconciling Surface Deflections From Simulations of Global Mantle Convection' : Numerical model dataset

description: Output data from TERRA simulations included in 'Reconciling Surface Deflections From Simulations of Global Mantle Convection'

Dataset includes:



Full density field (`NC_visc_dens_037.tar.gz`)

Radial stresses (directory `radial_stresses`)

Spherical harmonic coefficients for density field (`density_sph.037`)

Radial viscosity factors (`visc.dat`)


Radial stresses are calculated at depths of:



0 km (surface)

45 km

180 km

270 km


and with various amounts of shallow structure removed:



NC_DT_rmir0 - No shallow structure removed

NC_DT_rmir1 - 45 km removed

NC_DT_rmir2 - 90 km removed

NC_DT_rmir3 - 135 km removed

NC_DT_rmir5 - 225 km removed

NC_DT_rmir7 - 270 km removed
DOI: 10.5281/zenodo.12704925
title: 'Reconciling Surface Deflections From Simulations of Global Mantle Convection' : Numerical model dataset

description: Output data from TERRA simulations included in 'Reconciling Surface Deflections From Simulations of Global Mantle Convection'

Dataset includes:



Full density field (`NC_visc_dens_037.tar.gz`)

Radial stresses (directory `radial_stresses`)

Spherical harmonic coefficients for density field (`density_sph.037`)

Radial viscosity factors (`visc.dat`)


Radial stresses are calculated at depths of:



0 km (surface)

45 km

180 km

270 km


and with various amounts of shallow structure removed:



NC_DT_rmir0 - No shallow structure removed

NC_DT_rmir1 - 45 km removed

NC_DT_rmir2 - 90 km removed

NC_DT_rmir3 - 135 km removed

NC_DT_rmir5 - 225 km removed

NC_DT_rmir7 - 270 km removed
DOI: 10.5281/zenodo.12744764
title: Data for "Excitation of Low- and High-frequency Magnetosonic Whistler Waves Associated with SLAMS in the Terrestrial Foreshock" by Yao et al.

description: The database includes the plasma data used in instability analyses and the theoretical analysis results based on the linear model.

Captions:

Plasma_input.mat file is the plasma data used in the instability analyses, which is used to plot Figure 2a-2d.



B: magnetic field strength

n: plasma number density

Te_para: parallel electron temperature

Te_perp: perpendicular electron temperature

Tp: proton temperature


 

WWs_theo_predictions.mat file is the calculation result of linear growth rate and wave frequency. The results are used to plot Figure 2e and 2f.



f_theo: wave frequency in theoretical predictions

gamma_theo: growth rate in theoretical predictions
DOI: 10.15468/dl.f3mmyr
title: Occurrence Download

description: A dataset containing 15350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucalyptus globoidea Blakely"
 ]
}

 The dataset includes 15350 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024814-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hucpnn
title: Occurrence Download

description: A dataset containing 1050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is GBR.3.12.1_1",
 "TaxonKey is Sambucus nigra L."
 ]
}

 The dataset includes 1050 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024815-240626123714530/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.24877849
title: Premorbid lipid levels and long-term risk of ALS—a population-based cohort study

description: To assess the temporal relationship between premorbid lipid levels and long-term amyotrophic lateral sclerosis (ALS) risk. From Norwegian cardiovascular health surveys (1974–2003), we collected information on total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), glucose, and other cardiovascular risk factors. ALS incidence and mortality were identified through validated Norwegian health registries. The relation between premorbid lipid levels and ALS risk was assessed by Cox regression models. Out of 640,066 study participants (51.5% females), 974 individuals (43.5% females) developed ALS. Mean follow-up time was 23.7 (SD 7.1) years among ALS cases. One mmol/l increase in LDL-C was associated with 6% increase in risk for ALS (hazard ratio 1.06 [95% CI: 1.01–1.09]). Higher levels of TC and TG were also associated with increased ALS risk, but only within the last 6–7 years prior to ALS diagnosis or death. No association between HDL-C and ALS risk was found. Adjusting for body mass index, birth cohort, smoking, and physical activity did not alter the results. Higher levels of LDL-C are associated with increased ALS risk over 40 years later, compatible with a causal relationship. The temporal relationship between TG, TC, and ALS risk suggests that increased levels of these lipid biomarkers represent consequences of ALS.
DOI: 10.6084/m9.figshare.24877849.v1
title: Premorbid lipid levels and long-term risk of ALS—a population-based cohort study

description: To assess the temporal relationship between premorbid lipid levels and long-term amyotrophic lateral sclerosis (ALS) risk. From Norwegian cardiovascular health surveys (1974–2003), we collected information on total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), glucose, and other cardiovascular risk factors. ALS incidence and mortality were identified through validated Norwegian health registries. The relation between premorbid lipid levels and ALS risk was assessed by Cox regression models. Out of 640,066 study participants (51.5% females), 974 individuals (43.5% females) developed ALS. Mean follow-up time was 23.7 (SD 7.1) years among ALS cases. One mmol/l increase in LDL-C was associated with 6% increase in risk for ALS (hazard ratio 1.06 [95% CI: 1.01–1.09]). Higher levels of TC and TG were also associated with increased ALS risk, but only within the last 6–7 years prior to ALS diagnosis or death. No association between HDL-C and ALS risk was found. Adjusting for body mass index, birth cohort, smoking, and physical activity did not alter the results. Higher levels of LDL-C are associated with increased ALS risk over 40 years later, compatible with a causal relationship. The temporal relationship between TG, TC, and ALS risk suggests that increased levels of these lipid biomarkers represent consequences of ALS.
DOI: 10.6084/m9.figshare.24750282
title: Predicting amyotrophic lateral sclerosis (ALS) progression with machine learning

description: To predict ALS progression with varying observation and prediction window lengths, using machine learning (ML). We used demographic, clinical, and laboratory parameters from 5030 patients in the Pooled Resource Open-Access ALS Clinical Trials (PRO-ACT) database to model ALS disease progression as fast (at least 1.5 points decline in ALS Functional Rating Scale-Revised (ALSFRS-R) per month) or non-fast, using Extreme Gradient Boosting (XGBoost) and Bayesian Long Short Term Memory (BLSTM). XGBoost identified predictors of progression while BLSTM provided a confidence level for each prediction. ML models achieved area under receiver-operating-characteristics curve (AUROC) of 0.570-0.748 and were non-inferior to clinician assessments. Performance was similar with observation lengths of a single visit, 3, 6, or 12 months and on a holdout validation dataset, but was better for longer prediction lengths. 21 important predictors were identified, with the top 3 being days since disease onset, past ALSFRS-R and forced vital capacity. Nonstandard predictors included phosphorus, chloride and albumin. BLSTM demonstrated higher performance for the samples about which it was most confident. Patient screening by models may reduce hypothetical Phase II/III clinical trial sizes by 18.3%. Similar accuracies across ML models using different observation lengths suggest that a clinical trial observation period could be shortened to a single visit and clinical trial sizes reduced. Confidence levels provided by BLSTM gave additional information on the trustworthiness of predictions, which could aid decision-making. The identified predictors of ALS progression are potential biomarkers and therapeutic targets for further research.
DOI: 10.6084/m9.figshare.24750282.v1
title: Predicting amyotrophic lateral sclerosis (ALS) progression with machine learning

description: To predict ALS progression with varying observation and prediction window lengths, using machine learning (ML). We used demographic, clinical, and laboratory parameters from 5030 patients in the Pooled Resource Open-Access ALS Clinical Trials (PRO-ACT) database to model ALS disease progression as fast (at least 1.5 points decline in ALS Functional Rating Scale-Revised (ALSFRS-R) per month) or non-fast, using Extreme Gradient Boosting (XGBoost) and Bayesian Long Short Term Memory (BLSTM). XGBoost identified predictors of progression while BLSTM provided a confidence level for each prediction. ML models achieved area under receiver-operating-characteristics curve (AUROC) of 0.570-0.748 and were non-inferior to clinician assessments. Performance was similar with observation lengths of a single visit, 3, 6, or 12 months and on a holdout validation dataset, but was better for longer prediction lengths. 21 important predictors were identified, with the top 3 being days since disease onset, past ALSFRS-R and forced vital capacity. Nonstandard predictors included phosphorus, chloride and albumin. BLSTM demonstrated higher performance for the samples about which it was most confident. Patient screening by models may reduce hypothetical Phase II/III clinical trial sizes by 18.3%. Similar accuracies across ML models using different observation lengths suggest that a clinical trial observation period could be shortened to a single visit and clinical trial sizes reduced. Confidence levels provided by BLSTM gave additional information on the trustworthiness of predictions, which could aid decision-making. The identified predictors of ALS progression are potential biomarkers and therapeutic targets for further research.
DOI: 10.6084/m9.figshare.25054335.v1
title: A comparison between bioelectrical impedance analysis and air-displacement plethysmography in assessing fat-free mass in patients with motor neurone diseases: a cross-sectional study

description: To determine the validity of bioelectrical impedance analysis (BIA) in quantifying fat-free mass (FFM) compared to air-displacement plethysmography (ADP) in patients with a motor neurone disease (MND). FFM of 140 patients diagnosed with MND was determined by ADP using the BodPod (i.e. the gold standard), and by BIA using the whole-body Bodystat. FFM values were translated to predicted resting energy expenditure (REE); the actual REE was measured using indirect calorimetry, resulting in a metabolic index. Validity of the BIA compared to the ADP was assessed using Bland-Altman analysis and Pearson’s <i>r</i>. To assess the clinical relevance of differences, we evaluated changes in metabolic index and in individualized protein demand. Despite the high correlation between ADP and BIA (<i>r =</i> 0.93), averaged across patients, the assessed mean fat-free mass was 51.7 kg (± 0.9) using ADP and 54.2 kg (± 1.0) using BIA. Hence, BIA overestimated fat-free mass by 2.5 kg (95% CI 1.8–3.2, <i>p</i> &lt; 0.001). Clinically, an increased metabolic index would be more often underdiagnosed in patients with MND using BIA (31.4% according to BIA versus 44.2% according to ADP, <i>p</i> = 0.048). A clinically relevant overestimation of ≥ 15 g in protein demand was observed for 4 (2.9%) patients using BIA. BIA systematically overestimates FFM in patients with MND. Although the differences are limited with ADP, underscoring the utility of BIA for research, overestimation of fat-free mass may have consequences for clinical decision-making, especially when interest lies in determining the metabolic index.
DOI: 10.6084/m9.figshare.25054335
title: A comparison between bioelectrical impedance analysis and air-displacement plethysmography in assessing fat-free mass in patients with motor neurone diseases: a cross-sectional study

description: To determine the validity of bioelectrical impedance analysis (BIA) in quantifying fat-free mass (FFM) compared to air-displacement plethysmography (ADP) in patients with a motor neurone disease (MND). FFM of 140 patients diagnosed with MND was determined by ADP using the BodPod (i.e. the gold standard), and by BIA using the whole-body Bodystat. FFM values were translated to predicted resting energy expenditure (REE); the actual REE was measured using indirect calorimetry, resulting in a metabolic index. Validity of the BIA compared to the ADP was assessed using Bland-Altman analysis and Pearson’s <i>r</i>. To assess the clinical relevance of differences, we evaluated changes in metabolic index and in individualized protein demand. Despite the high correlation between ADP and BIA (<i>r =</i> 0.93), averaged across patients, the assessed mean fat-free mass was 51.7 kg (± 0.9) using ADP and 54.2 kg (± 1.0) using BIA. Hence, BIA overestimated fat-free mass by 2.5 kg (95% CI 1.8–3.2, <i>p</i> &lt; 0.001). Clinically, an increased metabolic index would be more often underdiagnosed in patients with MND using BIA (31.4% according to BIA versus 44.2% according to ADP, <i>p</i> = 0.048). A clinically relevant overestimation of ≥ 15 g in protein demand was observed for 4 (2.9%) patients using BIA. BIA systematically overestimates FFM in patients with MND. Although the differences are limited with ADP, underscoring the utility of BIA for research, overestimation of fat-free mass may have consequences for clinical decision-making, especially when interest lies in determining the metabolic index.