cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fvbp6j2fv8.1
title: Experimental data for the manuscript "Whistler echo trains triggered by energetic winter lightning": part 3

description: Two-component magnetic field data recorded at the high latitude receiving station Kannuslehto operated by the Sodankyla Geophysical Observatory in Finland (67.7°N, 26.3°E). The dataset consists of 3 files, each of them contains the 1-hour long continuous record of magnetic field fluctuations measured by two orthogonal magnetic loops. The data originates from January 3, 2017 07:00-10:00 UTC.
DOI: 10.60600/yu/clawet/8jnmhx
title: 1605.wav

description: :unav
DOI: 10.17632/5p2my2rd7g.1
title: PLANTED FORESTS OF Tachigali vulgaris IN EASTERN AMAZONIA: HOW SPACING AFFECTS THE ANATOMICAL VARIATIONS AND WOOD DENSITY

description: Dataset of the article entitled PLANTED FORESTS OF Tachigali vulgaris IN EASTERN AMAZONIA: HOW SPACING AFFECTS THE ANATOMICAL VARIATIONS AND WOOD DENSITY. This is an anatomical and physical description of T. vulgaris wood cultivated in the Brazilian Amazonia at 102 months of age for energy purposes.
DOI: 10.17632/5z9z5hcs2s.1
title: Supplementary data for "Primary Care Clinic Health Care Workers’ Perspectives on PrEP Implementation in Rural South Africa”

description: Individual interviews were conducted with senior level professional nurses (n=24) at rural primary care clinics in South Africa. Barriers and facilitators for HIV PrEP rollout at these clinics were characterized with a socioecological model.
DOI: 10.15468/dl.cy74d9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhus typhina L., Parthenocissus quinquefolia (L.) Planch., Spiraea ×billardii Hérincq, Prunus laurocerasus L., Rosa rugosa Thunb., Spiraea alba Du Roi, Pistia stratiotes L., Solidago gigantea Aiton, Rubus armeniacus Focke, Robinia pseudoacacia L., Acer negundo L., Ailanthus altissima (Mill.) Swingle, Alternanthera philoxeroides (Mart.) Griseb., Aponogeton distachyos L.f., Arundo donax L., Asclepias syriaca L., Azolla filiculoides Lam., Baccharis halimifolia L., Cabomba caroliniana A.Gray, Carpobrotus N.E.Br., Cotoneaster horizontalis Decne., Egeria densa Planch., Eichhornia crassipes (Mart.) Solms, Elaeagnus angustifolia L., Elodea canadensis Michx., Elodea nuttallii (Planch.) H.St.John, Fallopia baldschuanica (Regel) Holub, Fraxinus pennsylvanica Marshall, Gymnocoronis spilanthoides DC., Helianthus tuberosus L., Helianthus ×laetiflorus Pers., Heracleum mantegazzianum Sommier & Levier, Hydrilla verticillata (L.f.) Royle, Hydrocotyle ranunculoides L.fil., Impatiens capensis Meerb., Impatiens glandulifera Royle, Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Laburnum anagyroides Medik., Lagarosiphon major (Ridl.) Moss, Lemna minuta Kunth, Lemna turionifera Landolt, Limnobium laevigatum (Humb. & Bonpl. ex Willd.) Heine, Reynoutria japonica Houtt., Myriophyllum rubricaule Valk. & Duist., Prunus serotina Ehrh., Parthenocissus tricuspidata (Siebold & Zucc.) Planch., Mahonia aquifolium (Pursh) Nutt., Parthenocissus inserta (A.Kern.) Fritsch, Spiraea tomentosa L., Spiraea douglasii Hook., Reynoutria ×bohemica Chrtek & Chrtková, Salvinia ×molesta D.S.Mitch., Myriophyllum heterophyllum Michx., Rudbeckia laciniata L., Ludwigia grandiflora (Michx.) Greuter & Burdet, Reynoutria sachalinensis (F.Schmidt) Nakai, Spiraea salicifolia L., Solidago canadensis L., Myriophyllum aquaticum (Vell.) Verdc., Ludwigia peploides (Kunth) P.H.Raven)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is 2010,2024",
 "Country is Belgium"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092323-240506114902167/datasets/export for details.
DOI: 10.60600/yu/clawet/9826bo
title: 1763.wav

description: :unav
DOI: 10.17632/ybxvsh4dh7.1
title: Heliyon article data

description: Database for Dr Nesrine souayeh article
DOI: 10.60600/yu/clawet/xngofi
title: 1593.TextGrid

description: :unav
DOI: 10.17632/sf3yjx22zk.1
title: Combination topical 5-fluorouracil 5%/calcipotriene 0.005% cream for the treatment of cutaneous in situ squamous cell carcinoma: a pilot study of efficacy and risks

description: Background: 
Various treatment options, including surgical excision and non-invasive modalities, exist for managing squamous cell carcinoma in situ (SCCIS). This pilot study investigated the safety and efficacy of a compounded 5-FU 5%/calcipotriene 0.005% cream in the treatment of SCCIS in this single-center, single-blinded, randomized study. 
Methods: 
Patients were randomized into one of three groups: a placebo group, a 7-day application group, or a 14-day application group. All patients received surgical excision at least 20 days after completion of cream application.
Results:
Significant differences in histological clearance of SCCIS between the treatment and control groups were identified (p&lt;0.001). There was a complete histological clearance in 83.3% and 87.5% of patients in the 7- and 14-day treatment groups, respectively. All patients in the placebo group showed residual tumor on histological evaluation. Adverse effects, including redness, itching, and burning, were more commonly reported in the 14-day treatment group. Two patients in the treatment groups developed reactive squamous proliferations within the scar approximately 61-96 days after excision. 
Conclusion:
Topical 5-fluorouracil 5%/calcipotriene 0.005% cream is effective in inducing histological clearance of SCCIS when applied twice daily for 7 or 14 days. Reactive squamous atypia may occur in surgical scars if excision is performed within 35 days of cream application.
DOI: 10.17632/9vry97xssn.1
title: Resolving and imaging ultra-low H concentrations in partially protonated Mg:⍺ Al2O3 using the luminescence lifetime of Cr3+

description: 2D and 3D lifetime is contained as a series of TIFFs with the name tag in ps. 
Cr3+ corundum high resolution PL spectrum is shown with column 1 wavelength and column 2 summed photon count
UV-VIS core rim data is explained inside the spreadsheet
UV-VIS map needs to be reshaped to a 990x1957x79 array, with wavelength from 430 every 5 nm.
FTIR the first column is wavenumber the rest are the pixels to be reshaped to 25*34
DOI: 10.60600/yu/clawet/rac7zt
title: 2019.wav

description: :unav
DOI: 10.60600/yu/clawet/ssfvhi
title: 1726.TextGrid

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DOI: 10.17632/hybj7mvs97.1
title: A Cross-sectional Study of Cutaneous Immune-Related Adverse Effects in Hispanic Patients after Immune Checkpoint Inhibitor Use for Cancer Therapy

description: Figure 1. Flowchart of the study cohort.
DOI: 10.60600/yu/clawet/i1kzlh
title: 1965.TextGrid

description: :unav
DOI: 10.17632/t3b5xndppc.1
title: andersen_bertopic_repo

description: Data from: "Travels with BERTopic: HC Andersen’s travel writing and fairy tales through the network lens of large language model-based topic modeling."
DOI: 10.17632/5dp6hwckj5.2
title: JAAD-D-24-00500-SuppTable1

description: Supplemental Table 1. Comparison of wholesale acquisition (WAC) and patient costs of clascoterone and sarecycline with other acne therapies. WAC info is publicly available and represents the cost wholesaler pays to manufacturer (data collected as of April 2024). WAC is not the same as “ASP”; ASP is the price the pharmacy pays for the medication from the wholesaler. Payment adjudication happens after they dispense to the patient. Covered: the process is only pertinent to "covered" prescriptions; when a Rx goes through covered the following fees are taken out of the WAC of each prescription (amount depends on contract negotiations: rebates to PBM/insurance for a branded drug in dermatology ranges from 50% of WAC to 80% of WAC in addition to other standard fees: returns, savings cards, e-vouchers, rebates, wholesaler fees, prompt pay). Uncovered: more often than not, in dermatology, when a medication is not covered, the manufacturer bypasses the wholesaler and the only income to the manufacturer is the co-pay the patient pays minus a dispensing fee & COGs (cost of goods). Distribution = manufacturer to pharmacy; pharmacy to patient. Cash Flow = uncovered copay from patient to pharmacy, pharmacy keeps dispensing fee, remaining to manufacturer (pharma company). Prior Authorizations (PAs): the overall Rx process without submitting a PA hurts the coverage of the medication because payors do not see this volume coming through. Payors want enough volume to make it worth paying for. Not filing PAs hurts the coverage of the dermatology specialty. Without them, drug coverage will not get better and the only remaining option is to increase the list price of the drug. CoPay – information in Table came from several common specialty pharmacies; however, co-pay depends on partnerships between manufacturers and pharmacies.
a must be filled at PhilRx for $90 offer
b off label use requires prior authorization and does not guarantee coverage
DOI: 10.60600/yu/clawet/xvqquh
title: 1840.wav

description: :unav
DOI: 10.17632/5dp6hwckj5.1
title: JAAD-D-24-00500-SuppTable1

description: Supplemental Table 1. Comparison of wholesale acquisition (WAC) and patient costs of clascoterone and sarecycline with other acne therapies. WAC info is publicly available and represents the cost wholesaler pays to manufacturer. WAC is not the same as “ASP”; ASP is the price the pharmacy pays for the medication from the wholesaler. Payment adjudication happens after they dispense to the patient. Covered: the process is only pertinent to "covered" prescriptions; when a Rx goes through covered the following fees are taken out of the WAC of each prescription (amount depends on contract negotiations: rebates to PBM/insurance for a branded drug in dermatology ranges from 50% of WAC to 80% of WAC in addition to other standard fees: returns, savings cards, e-vouchers, rebates, wholesaler fees, prompt pay). Uncovered: more often than not, in dermatology, when a medication is not covered, the manufacturer bypasses the wholesaler and the only income to the manufacturer is the co-pay the patient pays minus a dispensing fee & COGs (cost of goods). Distribution = manufacturer to pharmacy; pharmacy to patient. Cash Flow = uncovered copay from patient to pharmacy, pharmacy keeps dispensing fee, remaining to manufacturer (pharma company). Prior Authorizations (PAs): the overall Rx process without submitting a PA hurts the coverage of the medication because payors do not see this volume coming through. Payors want enough volume to make it worth paying for. Not filing PAs hurts the coverage of the dermatology specialty. Without them, drug coverage will not get better and the only remaining option is to increase the list price of the drug. CoPay – information in Table came from several common specialty pharmacies; however, co-pay depends on partnerships between manufacturers and pharmacies.
a must be filled at PhilRx for $90 offer
b off label use requires prior authorization and does not guarantee coverage
DOI: 10.17632/wy4nx8j7xm.1
title: Data from: Identifying personality traits and behavioural syndromes in a threatened freshwater fish (Nannoperca vittata) through comparative analysis with a model species (Poecilia reticulata): implications for conservation

description: The Excel file provided here contains data used in a study of the repeatabilities and correlations among behavioural traits in western pygmy perch (Nannoperca vittata), a threatened freshwater fish species endemic to south-western Australia, and the guppy (Poecilia reticulata), a species frequently used in personality research. 

Each fish (48 of each species) was measured four times for each of seven behavioural traits, which were presumed to reflect five underlying personality traits. Track length (TL) was used as a measure of activity; time spent in a risky zone (RZ) and time to emergence (ET) as measures of boldness; latency to approach to a novel object (LA) and time spent close to the object (TS) as measures of exploration; time spent close to a mirror (CV) as a measure of sociability; and number of attacks (AT) launched at the mirror as a measure of aggression.
DOI: 10.60600/yu/clawet/uqma39
title: 1779.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/o0szgs
title: 2005.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/19blmy
title: 1660.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/uj42k8
title: 1862.TextGrid

description: :unav
DOI: 10.15468/dl.scqxhu
title: Occurrence Download

description: A dataset containing 571868 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anopheles Meigen, 1818"
 ]
}

 The dataset includes 571868 records from 285 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092292-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/wkx8gs
title: 1712.TextGrid

description: :unav
DOI: 10.17632/sb5r8xts4k.1
title: Mediating effect of telomere length on the relationship between obesity and blood pressure in the general Chinese population. Yuanyuan Yang et al.

description: Data based on demographic information
DOI: 10.60600/yu/clawet/mceugk
title: 1661.wav

description: :unav
DOI: 10.60600/yu/clawet/a08ryt
title: 1994.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/hyaozb
title: 1599.wav

description: :unav
DOI: 10.60600/yu/clawet/r31lc5
title: 2065.wav

description: :unav
DOI: 10.60600/yu/clawet/01bsmi
title: 1904.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/suqlak
title: 1736.wav

description: :unav
DOI: 10.60600/yu/clawet/q08kxi
title: 1699.TextGrid

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DOI: 10.60600/yu/clawet/3qyxhi
title: 1766.wav

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DOI: 10.60600/yu/clawet/t93gb4
title: 2009.TextGrid

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DOI: 10.15468/dl.5u75hs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhus typhina L., Parthenocissus quinquefolia (L.) Planch., Spiraea ×billardii Hérincq, Prunus laurocerasus L., Rosa rugosa Thunb., Spiraea alba Du Roi, Pistia stratiotes L., Solidago gigantea Aiton, Rubus armeniacus Focke, Robinia pseudoacacia L., Acer negundo L., Ailanthus altissima (Mill.) Swingle, Alternanthera philoxeroides (Mart.) Griseb., Aponogeton distachyos L.f., Arundo donax L., Asclepias syriaca L., Azolla filiculoides Lam., Baccharis halimifolia L., Cabomba caroliniana A.Gray, Carpobrotus N.E.Br., Cotoneaster horizontalis Decne., Egeria densa Planch., Eichhornia crassipes (Mart.) Solms, Elaeagnus angustifolia L., Elodea canadensis Michx., Elodea nuttallii (Planch.) H.St.John, Fallopia baldschuanica (Regel) Holub, Fraxinus pennsylvanica Marshall, Gymnocoronis spilanthoides DC., Helianthus tuberosus L., Helianthus ×laetiflorus Pers., Heracleum mantegazzianum Sommier & Levier, Hydrilla verticillata (L.f.) Royle, Hydrocotyle ranunculoides L.fil., Impatiens capensis Meerb., Impatiens glandulifera Royle, Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Laburnum anagyroides Medik., Lagarosiphon major (Ridl.) Moss, Lemna minuta Kunth, Lemna turionifera Landolt, Limnobium laevigatum (Humb. & Bonpl. ex Willd.) Heine, Reynoutria japonica Houtt., Myriophyllum rubricaule Valk. & Duist., Prunus serotina Ehrh., Parthenocissus tricuspidata (Siebold & Zucc.) Planch., Mahonia aquifolium (Pursh) Nutt., Parthenocissus inserta (A.Kern.) Fritsch, Spiraea tomentosa L., Spiraea douglasii Hook., Reynoutria ×bohemica Chrtek & Chrtková, Salvinia ×molesta D.S.Mitch., Myriophyllum heterophyllum Michx., Rudbeckia laciniata L., Ludwigia grandiflora (Michx.) Greuter & Burdet, Reynoutria sachalinensis (F.Schmidt) Nakai, Spiraea salicifolia L., Solidago canadensis L., Myriophyllum aquaticum (Vell.) Verdc., Ludwigia peploides (Kunth) P.H.Raven)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2010",
 "Country is Belgium"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092325-240506114902167/datasets/export for details.
DOI: 10.60600/yu/clawet/msmf3a
title: 2023.TextGrid

description: :unav
DOI: 10.17632/bpsrw76hgx.6
title: A dataset from the daily use of features in Android devices

description: The energy consumption of Android devices, measured via data collection from features, is a recurring theme in the literature. To evaluate the performance of such devices, databases are generated by collecting data from features while using the Android operating system. This is a database generated using Tucandeira Data Collector from the daily use of smartphones and tablets while performing everyday tasks. The dataset contains 98 features and 10,331,114 records related to dynamic, background, list of applications, and static data. Device records were collected daily from ten distinct devices and stored in CSV files that were later organized to generate a database by cleaning and preprocessing the data that are publically available in the Mendeley Data Repository. The dataset formed an integral component of the SWPERFI RD&I Project, a research, development, and innovation initiative aimed at improving the performance and energy optimization of mobile devices. This project was undertaken at the Federal University of Amazonas.
DOI: 10.60600/yu/clawet/k0z45d
title: 1972.wav

description: :unav
DOI: 10.17632/bpsrw76hgx.5
title: A dataset from the daily use of features in Android devices

description: The energy consumption of Android devices, measured via data collection from features, is a recurring theme in the literature. To evaluate the performance of such devices, databases are generated through the collection of data from features while using the Android operating system. This is a database generated from the daily use of smartphones and tablets while performing everyday tasks. The dataset contains 98 features and 10,330,458 records related to dynamic, background, list of applications, and static data. Device records were collected every day from ten distinct devices and stored in CSV files that were later organized to generate a database by cleaning and preprocessing the data that are publically available in the Mendeley Data Repository. The dataset formed an integral component of the SWPERFI RD&I Project, a research, development, and innovation initiative aimed at improving the performance and energy optimization of mobile devices. This project was undertaken at the Federal University of Amazonas.
DOI: 10.60600/yu/clawet/jhtemn
title: 1884.wav

description: :unav
DOI: 10.17632/bpsrw76hgx.4
title: A dataset from the daily use of features in Android devices

description: The energy consumption of Android devices, measured via data collection from features, is a recurring theme in the literature. To evaluate the performance of such devices, databases are generated through the collection of data from features while using the Android operating system. This is a database generated from the daily use of smartphones and tablets while performing everyday tasks. The dataset contains 98 features and 9,752,529 records related to dynamic, background, list of applications, and static data. Device records were collected every day from ten distinct devices and stored in CSV files that were later organized to generate a database by cleaning and preprocessing the data that are publically available in the Mendeley Data Repository. The dataset formed an integral component of the SWPERFI RD&I Project, a research, development, and innovation initiative aimed at improving the performance and energy optimization of mobile devices. This project was undertaken at the Federal University of Amazonas.
DOI: 10.60600/yu/clawet/dgvlb3
title: 1836.wav

description: :unav
DOI: 10.17632/bpsrw76hgx.3
title: A dataset from the daily use of features in Android devices

description: The energy consumption of Android devices, measured via data collection from features, is a recurring theme in the literature. To evaluate the performance of such devices, databases are generated through the collection of data from features while using the Android operating system. This is a database generated from the daily use of smartphones and tablets while performing everyday tasks. The dataset contains 98 features and 5,248,296 records related to dynamic, background, list of applications, and static data. Device records were collected every day from ten distinct devices and stored in CSV files that were later organized to generate a database by cleaning and preprocessing the data that are publically available in the Mendeley Data Repository. The dataset formed an integral component of the SWPERFI RD&I Project, a research, development, and innovation initiative aimed at improving the performance and energy optimization of mobile devices. This project was undertaken at the Federal University of Amazonas.
DOI: 10.60600/yu/clawet/vppvhg
title: 1649.wav

description: :unav
DOI: 10.17632/bpsrw76hgx.2
title: A dataset from the daily use of features in Android devices

description: The energy consumption of Android devices, measured via data collection from features, is a recurring theme in the literature. To evaluate the performance of such devices, databases are generated through the collection of data from features while using the Android operating system. This is a database generated from the daily use of smartphones and tablets while performing everyday tasks. The dataset contains 98 features and 10,517,165 records related to dynamic, background, list of applications, and static data. Device records were collected every day from ten distinct devices and stored in CSV files that were later organized to generate a database by cleaning and preprocessing the data that are publically available in the Mendeley Data Repository.
DOI: 10.60600/yu/clawet/rxbpxw
title: 1631.TextGrid

description: :unav
DOI: 10.17632/bpsrw76hgx.1
title: A dataset from the daily use of features in Android devices

description: The energy consumption of Android devices, measured via data collection from features, is a recurring theme in the literature. To evaluate the performance of such devices, databases are generated through the collection data from features while using the Android operating system. This article describes a database generated from the daily use of smartphones and tablets while performing everyday tasks. The dataset contains 98 features and 10,517,165 of records related to dynamic, background, app list and static data. Device records were collected every day from ten distinct devices and stored in CSV files that were later organized to generate a database by cleaning and preprocessing the data that are publically available in the Mendeley Data Repository.
DOI: 10.60600/yu/clawet/140tpa
title: 1666.wav

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DOI: 10.60600/yu/clawet/ztxehd
title: 1630.TextGrid

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DOI: 10.60600/yu/clawet/laqzky
title: 1993.wav

description: :unav
DOI: 10.60600/yu/clawet/rqmfmb
title: 1915.wav

description: :unav
DOI: 10.17632/7xsm9rnvn5.2
title: The Rise of Philanthropic Governance in a Southern European Setting

description: The Rise of Philanthropic Governance in a Southern European Setting
DOI: 10.17632/7xsm9rnvn5.1
title: The Rise of Philanthropic Governance in a Southern European Setting

description: The Rise of Philanthropic Governance in a Southern European Setting
DOI: 10.60600/yu/clawet/kk6iru
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DOI: 10.60600/yu/clawet/cdourf
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DOI: 10.60600/yu/clawet/v3ndmk
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DOI: 10.60600/yu/clawet/gcvfsq
title: 2072.wav

description: :unav
DOI: 10.60600/yu/clawet/cqye8n
title: 1864.wav

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DOI: 10.60600/yu/clawet/curkem
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DOI: 10.60600/yu/clawet/sbn85b
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DOI: 10.60600/yu/clawet/vcaavy
title: 1706.TextGrid

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DOI: 10.60600/yu/clawet/uvqjfa
title: 1907.wav

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DOI: 10.60600/yu/clawet/cqlfno
title: 1911.wav

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