cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3551995
title: A Dataset of Global Land Cover Validation Samples

description: A dataset of global land cover validation samples in 2015. In order to guarantee the confidence and objective of the validation samples, several existing reference datasets such as GLCNMO2008 training dataset, VIIRS reference dataset, STEP reference dataset, Global cropland reference data and so on, high resolution imagery in the Google earth and time-series NDVI,NDSI values of each related point are integrated to derive the global validation datasets. The dataset is provided in .shp format.
description: {"references": ["Gong, P. et al. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing 34, 2607-2654, doi:10.1080/01431161.2012.748992 (2013).", "Olofsson, P. et al. A global land-cover validation data set, part I: fundamental design principles. International Journal of Remote Sensing 33, 5768-5788, doi:10.1080/01431161.2012.674230 (2012).", "Tateishi, R. et al. Production of global land cover data \u2013 GLCNMO. International Journal of Digital Earth 4, 22-49, doi:10.1080/17538941003777521 (2011).", "Tateishi, R. et al. Production of global land cover data-GLCNMO2008. J. Geogr. Geol. 6, 99-123 (2014).", "Stehman, S. V., Olofsson, P., Woodcock, C. E., Herold, M. & Friedl, M. A. A global land-cover validation data set, II: augmenting a stratified sampling design to estimate accuracy by region and land-cover class. International Journal of Remote Sensing 33, 6975-6993, doi:10.1080/01431161.2012.695092 (2012).", "Schneider, A., Friedl, M. A. & Potere, D. A new map of global urban extent from MODIS satellite data. Environmental Research Letters 4, 044003, doi:10.1088/1748-9326/4/4/044003 (2009).", "Friedl, M. A. et al. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment 114, 168-182, doi:https://doi.org/10.1016/j.rse.2009.08.016 (2010).", "Xiong, J. et al. Automated cropland mapping of continental Africa using Google Earth Engine cloud computing. ISPRS Journal of Photogrammetry and Remote Sensing 126, 225-244, doi:https://doi.org/10.1016/j.isprsjprs.2017.01.019 (2017).", "Lehner, B. & D?ll, P. Development and validation of a global database of lakes, reservoirs and wetlands. Journal of Hydrology 296, 1-22, doi:https://doi.org/10.1016/j.jhydrol.2004.03.028 (2004).", "Tootchi, A., Jost, A. & Ducharne, A. Multi-source global wetland maps combining surface water imagery and groundwater constraints. Earth Syst. Sci. Data 11, 189-220, doi:10.5194/essd-11-189-2019 (2019)."]}
DOI: 10.5281/zenodo.6472398
title: Brussels image-based library of urban materials

description: The header file <em>UrbanSpectralLibrary_APEX_Brussels_2015_GENLIB.hdr</em> and its associated spectral library file <em>UrbanSpectralLibrary_APEX_Brussels_2015_GENLIB.sli</em> constitute a library of 1274 urban cover type spectra describing surface reflectance over the VNIR-SWIR wavelength domain. The library spectra were extracted from a 2m-resolution APEX airborne hyperspectral image of Brussels (SONIA site of BELAIR program) acquired during the summer of 2015. The source image can be downloaded from the VITO Product Distribution Portal. Endmember pixels were algorithmically selected using Iterative Spectral Distancing (see this paper for more info), and the corresponding endmember spectra were smoothed with a Gaussian filter. Note that the WGS84 latitude-longitude coordinates of the endmember pixels are included in the header file. The spectra were manually interpreted and labelled using high-resolution aerial imagery, Google Street View, online documentation and comparison to previously published urban spectral libraries (SLUM, KLUM, UCSB ...). Three sets of spectra labels are provided in this library: one for EAGLE land cover (EAGLE_LCC, consult the EAGLE website for more info), one for generalized material groupings (GENLIB_LCH_BuC_MG) and one for more detailed artificial material type (GENLIB_LCH_BuC_AMT).
description: If you use this data set for published work, please cite it correctly. Suggested citation format: "Priem, F., Somers, B., Canters, F. (2022). Brussels image-based library of urban materials, version X [Data set]. https://doi.org/10.5281/zenodo.6472398". This spectral library was produced in the frame of the GENLIB research project that received funding from the Belgian Science Policy Office per the agreement of subsidy number SR/67/167 (BELAIR 2013), SR/XX/170 (BELAIR SONIA), SR/03/333 (BELAIR SONIA 2015) and SR/00/378 (GENLIB). While every effort was made to ensure accurate information, this data set is presented "as is" without warranties of any kind. The authors accepts no liability or responsibility to any person as a consequence of any reliance upon the data presented here. The user assumes all responsibility and risk for the use of this data. © Priem 2022
DOI: 10.5281/zenodo.7660542
title: Ptychotomography datasets of an ultrafine eutectic Ti-Fe-based alloy processed by additive manufacturing

description: The development of metals tailored to the metallurgical conditions of laser-based additive manufacturing is crucial to advance the maturity of these materials for their use in structural applications. While efforts in this regard are being carried out around the globe, the use of high strength eutectic alloys have, so far, received minor attention, although previous works showed that rapid solidification techniques can result in ultrafine microstructures with excellent mechanical performance, albeit for small sample sizes. In the present work, a eutectic Ti-32.5Fe alloy has been produced by laser powder bed fusion aiming at exploiting rapid solidification and the capability to produce bulk ultrafine microstructures provided by this processing technique. The uploaded datasets are a raw dataset of the 3D microstructure of the eutectic Ti-32.5Fe alloy acquired by ptychotomography at the beamline ID16A of the ESRF in Grenoble, France and a corresponding binary dataset for the bright Ti-Fe phase. The datasets have a dimension of 1173 x 1182 x 1356 px³ with a voxel-size of (10 nm)³. raw dataset: "RAW_10nm_ptycho_1173x1182x1356.tif" binary dataset of the Ti-Fe phase: "TIFE_BINARY_10nm_ptycho_1173x1182x1356.tif" more details can be found in J. Gussone, K. Bugelnig and P. Barriobero-Vila et al. / Applied Materials Today 20 (2020) 100767. https://doi.org/10.1016/j.apmt.2020.100767<br>
DOI: 10.5439/1052221
title: NREL Solar Radiation Research Laboratory (SRRL): Baseline Measurement System (BMS); Golden, Colorado (Data)

description: The SRRL was established at the Solar Energy Research Institute (now NREL) in 1981 to provide continuous measurements of the solar resources, outdoor calibrations of pyranometers and pyrheliometers, and to characterize commercially available instrumentation. The SRRL is an outdoor laboratory located on South Table Mountain, a mesa providing excellent solar access throughout the year, overlooking Denver. Beginning with the basic measurements of global horizontal irradiance, direct normal irradiance and diffuse horizontal irradiance at 5-minute intervals, the SRRL Baseline Measurement System now produces more than 130 data elements at 1-min intervals that are available from the Measurement & Instrumentation Data Center Web site.  Data sources include global horizontal, direct normal, diffuse horizontal (from shadowband and tracking disk), global on tilted surfaces, reflected solar irradiance, ultraviolet, infrared (upwelling and downwelling), photometric and spectral radiometers, sky imagery, and surface meteorological conditions (temperature, relative humidity, barometric pressure, precipitation, snow cover, wind speed and direction at multiple levels). Data quality control and assessment include daily instrument maintenance (M-F) with automated data quality control based on real-time examinations of redundant instrumentation and internal consistency checks using NREL's SERI-QC methodology. Operators are notified of equipment problems by automatic e-mail messages generated by the data acquisition and processing system. Radiometers are recalibrated at least annually with reference instruments traceable to the World Radiometric Reference (WRR).
DOI: 10.58046/4wef-a282
title: RAPID: Multiplexed Distributed Acoustic Sensing (DAS)  at the Ocean Observatory Initiative (OOI) Regional Cabled Array (RCA)
DOI: 10.6084/m9.figshare.28184255
title: Supplementary Material for: Effects of meditation and yoga on anxiety, depression and chronic inflammation in patients with Parkinson's disease: A randomised clinical trial

description: Introduction: Clinical guidelines recommend a holistic approach to Parkinson’s disease (PD) care, yet randomized trials examining mindfulness-based interventions are scarce. This study investigated effects of two mindfulness practices–meditation and yoga–on biopsychosocial outcomes in PD patients, including anxiety and depressive symptoms, compared to usual care.
Methods: 159 participants with a clinical diagnosis of idiopathic PD and a Hoehn and Yahr stage of 1, 2, and 3, were randomised into meditation(n=53), yoga(n=52), and control(n=54). Meditation and yoga were delivered in 90-minute groups for 8 weeks. Primary outcomes included anxiety and depressive symptoms. Secondary outcomes included motor and non-motor symptoms, HRQOL, mindfulness, and serum levels of interleukin-6, cortisol and TNF-alpha. Assessments were done at baseline(T0), 2 months(T1) and 6 months(T2). Linear mixed models were conducted following intention-to-treat principle. 
Results: Compared to control, meditation and yoga groups had significant improvements in anxiety symptoms (meditation: mean difference [MD]=−1.36, 95%CI−2.46 to−0.26; yoga: MD=−1.61, CI−2.70 to −0.52), motor symptoms (meditation: MD=−5.35, CI−8.61 to−2.09; yoga: MD=−6.59, CI−9.82 to−3.36), HRQOL (meditation: MD=−2.01, CI−3.41 to−0.62; yoga: MD=−1.45, CI−2.83 to−0.08), and describing skills (meditation: MD=0.97, CI 0.04 to 1.89; yoga: MD=0.92, CI 0.01–1.84) at T1, and significant reductions in serum interleukin-6 levels(meditation: MD=−1.14, CI−2.18 to−0.10; yoga: MD=−1.11, CI −2.09 to−0.13) at T2. Only meditation significantly reduced depression (MD=−1.44, CI−2.57 to−0.30) at T1 and sustained motor and HRQOL improvements at T2. 
Conclusion: Meditation and yoga significantly improved anxiety symptoms, chronic inflammation, motor symptoms, mindfulness-describing facet and HRQOL in PD patients. Meditation provided additional benefits in reducing depressive symptoms and sustaining motor and HRQOL improvements.
DOI: 10.6084/m9.figshare.28513592
title: Supplementary Material for: Improving Accuracy and Source Transparency in Responses to Soft Tissue Sarcoma Queries using GPT-4o Enhanced with German Evidence-Based Guidelines

description: Introduction: This study aimed to evaluate the effectiveness of GPT-4o, with and without Retrieval-Augmented Generation (RAG), in responding to soft tissue sarcoma (STS)-related queries. 
Methods: The study used a 20-question dataset derived from clinical scenarios related to adult STS. The responses were generated by GPT-4o with and without the RAG approach. The RAG system incorporated the English version of German evidence-based S3 guidelines through an embedding-based retrieval system. Two sarcoma experts evaluated the responses for accuracy, comprehensiveness, and safety using a Likert scale. Statistical analyses were conducted to compare the performances.
Results: GPT-4o with RAG outperformed the model without RAG across all evaluated areas (p&lt;0.05). GPT-4o without RAG had a 40% error rate, which was reduced to 10% by the RAG approach. In 90% of the questions, the pages with the relevant information that addressed the questions were correctly cited using the retrieval system.
Conclusion: The RAG approach significantly enhanced the performance of GPT-4o in answering STS-related questions. However, the model still produced incorrect responses in certain complex scenarios. GPT-4o, even with RAG, should be used cautiously in clinical settings, particularly for rare diseases like sarcoma. Human expertise remains irreplaceable in medical decision-making.
DOI: 10.6084/m9.figshare.28513595
title: Supplementary Material for: Modifications to prostate cancer diagnosis following COVID-19 and following models

description: Introduction: The COVID-19 pandemic has impacted the treatment of prostate cancer (PCa). The study examines any predictions that could point to future models. Methods: Two interrupted time series analyses were conducted: one for the pre-COVID period (January 2017 to December 2019) and another for the post-COVID period during 2022. Information on age, total prostate-specific antigen (PSA), abnormal digital rectal exam (DRE), prostate volume (PV), previous negative biopsy, number of positive biopsies, Gleason score, and biopsy outcome were collected for all patients. The categories for the results were no cancer, insignificant, low and intermediate, high-risk, and very high-risk PCa. Using a generalized linear model (GLM), the outcomes are modeled. The area under the curve (AUC) and accuracy were used to assess how well multi-class predictions performed. Results: 244 patients who had biopsies following the COVID-19 pandemic and 832 patients who had biopsies before the pandemic were compared. The accuracy of the GLM model was only 0.635. The AUC for category no cancer, low and intermediate-risk, and very high-risk patients was 0.821, 0.716, and 0.926. With scaled relevance values, PSA was the most critical test. The two features that significantly influenced the treatment model prediction for PCa were biopsy PSA level and DRE, respectively. Conclusion: Advanced age and a very high-risk group appear to have a detrimental impact on the results of biopsies conducted after the first wave of the COVID-19 era. At the same time, PSA levels and abnormal DRE are the most significant predictors in GLM.
DOI: 10.6084/m9.figshare.28513601
title: Supplementary Material for: Measuring Respiration Rate from Speech

description: The physical basis of speech production in humans requires coordination of multiple anatomical systems, where inhalation and exhalation of air through lungs is at the core of the phenomenon. Vocalization happens during exhalation, while inhalation typically happens between speech pauses. We use deep learning models to predict respiratory signal during speech-breathing, from which respiration rate is estimated. Bilingual data from a large clinical study (N=1005) is used to develop and evaluate a multivariate time series transformer model with speech encoder embeddings as input. The best model shows predicted respiration rate from speech within ±3 BPM for 82% of test subjects. A noise-aware algorithm was also tested in a simulated hospital environment with varying noise levels to evaluate impact on performance. This work proposes and validates speech as a virtual sensor for respiration rate, which can be an efficient and cost-effective enabler for remote patient monitoring and telehealth solutions.
DOI: 10.6084/m9.figshare.28513604
title: Supplementary Material for: THE RELATIONSHIP BETWEEN SURGICAL PROCEDURES AND ANGIOEDEMA ATTACKS IN HEREDITARY ANGIOEDEMA

description: Introduction: Surgical interventions can trigger angioedema attacks in hereditary angioedema (HAE). The aim of this study was to assess the incidence of perioperative angioedema and identify associated risk factors.
Methods: This retrospective study included HAE patients diagnosed between 1999 and 2024 at a tertiary adult allergy clinic. Data on surgical procedures and perioperative angioedema were analyzed.
Results: Of 102 HAE patients, 28 were excluded due to incomplete data, leaving 74 patients (46 female, 62.2%). Fifty-three patients underwent 94 surgeries, with the most common being gynecological (27, 28.7%), abdominal (27, 28.7%), and otorhinolaryngological (16, 17.0%). Of 54 surgeries before HAE diagnosis, 23 (42.5%) were abdominal. Among 27 abdominal surgeries, 17 (62.9%) occurred in patients with gastrointestinal angioedema prior to diagnosis. Of 40 surgeries after diagnosis, 31 (77.5%) received preoperative short term prophylaxis (STP), mostly plasma-derived C1 esterase inhibitor concentrate (27, 87.1%). Perioperative angioedema occurred in 28 (29.8%) surgeries, with a median recovery of 48 hours. In surgeries after diagnosis, attacks occurred in 7 out of 31 surgeries (22.6%) with STP and 2 out of 9 (22.2%) without. Among gynecological surgeries, 22 cesarean sections were performed. No significant difference in attack frequency was found between cesarean sections with STP (3, 27.3%) and without (2, 18.2%, p=0.611).
Conclusion: Our study found that abdominal attacks before HAE diagnosis are consistent with literature, underscoring their importance for early diagnosis. The angioedema rate was similar with or without STP before cesarean section, suggesting STP may not be necessary. Further research is needed to optimize HAE management in surgery.
DOI: 10.17632/nm2vc4v2br.1
title: Energy Usage Measurements for Public Schools in Western Cape, South Africa.

description: The dataset contains energy usage measurements for 53 public primary and secondary least affluent and energy-poor schools located in Western Cape, South Africa. The data was collected using smart meters installed in the schools over one year, from December 1, 2022, to November 30, 2023.
DOI: 10.15468/dl.d5uuh3
title: Occurrence Download

description: A dataset containing 89020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ficus carica L.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 89020 records from 691 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001754-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bbdw2
title: Occurrence Download

description: A dataset containing 23959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rudbeckia laciniata L.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23959 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001761-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxye3c
title: Occurrence Download

description: A dataset containing 2879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Asparagus africanus Lam.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 2879 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001721-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67sgk8
title: Occurrence Download

description: A dataset containing 7385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cotoneaster simonsii Baker)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7385 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001762-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zz8qcj
title: Occurrence Download

description: A dataset containing 33776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Asparagus asparagoides (L.) Druce)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 33776 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001723-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujsv4n
title: Occurrence Download

description: A dataset containing 64256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alytes obstetricans (Laurenti, 1768)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 64256 records from 1202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001709-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-41967
title: Penalty information, 1991

description: Collection of complaint reports against police officers - information re reports includes nature of incident, date of incident, penalty officer faced for incident, etc. (1971-1991), 1991. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.jdye5u
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alpheus vanderbilti Boone, 1930"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001595-150811131857512/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.25768905
title: all articles

description: all articles founded in RSL
DOI: 10.15468/dl.2wfyuz
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Delphinium malabaricum (Huth) Munz"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168044-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-41941
title: Penalty information, 1991

description: Collection of complaint reports against police officers - information re reports includes nature of incident, date of incident, penalty officer faced for incident, etc. (1971-1991), 1991. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.