cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6367857
title: data set from the article Iacobellis G, Malavazos AE, Basilico S, Tresoldi S, Rinaldo RF, Dubini C, Capitanio G, Serpi F, Schiaffino S, Oliva OA, Cariati M, Morricone L, Centanni S, Sardanelli F, Carruba M, Corsi Romanelli MM, Secchi F. Epicardial fat inflammation response to COVID-19 therapies. Obesity (Silver Spring). 2021 Sep;29(9):1427-1433. doi: 10.1002/oby.23232. Epub 2021 Aug 3. PMID: 34028990; PMCID: PMC8242726.

description: data set from the article Iacobellis G, Malavazos AE, Basilico S, Tresoldi S, Rinaldo RF, Dubini C, Capitanio G, Serpi F, Schiaffino S, Oliva OA, Cariati M, Morricone L, Centanni S, Sardanelli F, Carruba M, Corsi Romanelli MM, Secchi F. Epicardial fat inflammation response to COVID-19 therapies. Obesity (Silver Spring). 2021 Sep;29(9):1427-1433. doi: 10.1002/oby.23232. Epub 2021 Aug 3. PMID: 34028990; PMCID: PMC8242726. Abstract: <strong>Objective: </strong>Adipose tissue plays a role in the novel coronavirus disease 2019 (COVID-19). Epicardial adipose tissue (EAT), a unique visceral fat, presents with a high degree of inflammation in severe COVID-19. Whether and how adipose tissue may respond to the COVID-19 therapies is unknown. <strong>Methods: </strong>The difference in computed tomography-measured EAT and subcutaneous (SAT) attenuation, defined as mean attenuation expressed in Hounsfield units (HU), was retrospectively analyzed in 72 patients (mean [SD] age was 59.6 [12.4] years, 50 patients [69%] were men) at the hospital admission for COVID-19 and 99 days (interquartile range = 71-129) after discharge. <strong>Results: </strong>At the admission, EAT-HU was significantly correlated with blood glucose levels, interleukin 6, troponin T levels, and waist circumference. EAT-HU decreased from -87.21 (16.18) to -100.0 (11) (p &lt; 0.001), whereas SAT-HU did not change (-110.21 [12.1] to -111.11 [27.82]; p = 0.78) after therapy. Changes in EAT-HU (expressed as ∆) significantly correlated with dexamethasone therapy (r = -0.46, p = 0.006) and when dexamethasone was combined with tocilizumab (r = -0.24, p = 0.04). <strong>Conclusions: </strong>Dexamethasone therapy was associated with significant reduction of EAT inflammation in COVID-19 patients, whereas SAT showed no changes. Anti-inflammatory therapies targeting visceral fat may be helpful in COVID-19.
DOI: 10.5281/zenodo.6367856
title: data set from the article Iacobellis G, Malavazos AE, Basilico S, Tresoldi S, Rinaldo RF, Dubini C, Capitanio G, Serpi F, Schiaffino S, Oliva OA, Cariati M, Morricone L, Centanni S, Sardanelli F, Carruba M, Corsi Romanelli MM, Secchi F. Epicardial fat inflammation response to COVID-19 therapies. Obesity (Silver Spring). 2021 Sep;29(9):1427-1433. doi: 10.1002/oby.23232. Epub 2021 Aug 3. PMID: 34028990; PMCID: PMC8242726.

description: data set from the article Iacobellis G, Malavazos AE, Basilico S, Tresoldi S, Rinaldo RF, Dubini C, Capitanio G, Serpi F, Schiaffino S, Oliva OA, Cariati M, Morricone L, Centanni S, Sardanelli F, Carruba M, Corsi Romanelli MM, Secchi F. Epicardial fat inflammation response to COVID-19 therapies. Obesity (Silver Spring). 2021 Sep;29(9):1427-1433. doi: 10.1002/oby.23232. Epub 2021 Aug 3. PMID: 34028990; PMCID: PMC8242726. Abstract: <strong>Objective: </strong>Adipose tissue plays a role in the novel coronavirus disease 2019 (COVID-19). Epicardial adipose tissue (EAT), a unique visceral fat, presents with a high degree of inflammation in severe COVID-19. Whether and how adipose tissue may respond to the COVID-19 therapies is unknown. <strong>Methods: </strong>The difference in computed tomography-measured EAT and subcutaneous (SAT) attenuation, defined as mean attenuation expressed in Hounsfield units (HU), was retrospectively analyzed in 72 patients (mean [SD] age was 59.6 [12.4] years, 50 patients [69%] were men) at the hospital admission for COVID-19 and 99 days (interquartile range = 71-129) after discharge. <strong>Results: </strong>At the admission, EAT-HU was significantly correlated with blood glucose levels, interleukin 6, troponin T levels, and waist circumference. EAT-HU decreased from -87.21 (16.18) to -100.0 (11) (p &lt; 0.001), whereas SAT-HU did not change (-110.21 [12.1] to -111.11 [27.82]; p = 0.78) after therapy. Changes in EAT-HU (expressed as ∆) significantly correlated with dexamethasone therapy (r = -0.46, p = 0.006) and when dexamethasone was combined with tocilizumab (r = -0.24, p = 0.04). <strong>Conclusions: </strong>Dexamethasone therapy was associated with significant reduction of EAT inflammation in COVID-19 patients, whereas SAT showed no changes. Anti-inflammatory therapies targeting visceral fat may be helpful in COVID-19.
DOI: 10.6084/m9.figshare.19382975.v1
title: wholebooster.xls

description: data set describe the vaccination
DOI: 10.25399/unisadata.12413186
title: Survey dataset for copying strategies and factors that influenced loss of animals by smallholder farmers in Greater Letaba Local Municipality during the 2014-2016 drought

description: The research was designed to answer the following questions:<br>I. Were the smallholder farmers prepared for the drought that <br> occurred in 2014-2016 in the Greater Letaba Local Municipality <br> (GLLM)?<br>II. What coping strategies did the smallholder farmers in the GLLM <br> area adopted that enabled them to cope with the drought of 2014- <br> 2016?<br>III. What interventions did the government and other none <br> Governmental agencies implement to assist the farmers cope with <br> the drought of 2014-2016?<br>IV. Which socioeconomic factors were significantly associated with the <br> number of animals that the farmers lost?<br>A cross-sectional questionnaire based survey was conducted to collect the data from a randomly selected sample of small holder livestock farmers in GLLM in Limpopo Province, South Africa. The data shows farmers were aware of the impending drought, adopted some copying strategies to mitigate the drought conditions and measures government plus other agencies implemented to assist farmers mitigate the effects of the drought conditions experienced in the study area during the 2014-2016 period. In addition the data shows a deficit in the reach of extension officers in the area. Finally, the data shows that certain groups in the population were more vulnerable to the drought conditions and thus suffered more loss than others.
DOI: 10.25399/unisadata.12413186.v1
title: Survey dataset for copying strategies and factors that influenced loss of animals by smallholder farmers in Greater Letaba Local Municipality during the 2014-2016 drought

description: The research was designed to answer the following questions:<br>I. Were the smallholder farmers prepared for the drought that <br> occurred in 2014-2016 in the Greater Letaba Local Municipality <br> (GLLM)?<br>II. What coping strategies did the smallholder farmers in the GLLM <br> area adopted that enabled them to cope with the drought of 2014- <br> 2016?<br>III. What interventions did the government and other none <br> Governmental agencies implement to assist the farmers cope with <br> the drought of 2014-2016?<br>IV. Which socioeconomic factors were significantly associated with the <br> number of animals that the farmers lost?<br>A cross-sectional questionnaire based survey was conducted to collect the data from a randomly selected sample of small holder livestock farmers in GLLM in Limpopo Province, South Africa. The data shows farmers were aware of the impending drought, adopted some copying strategies to mitigate the drought conditions and measures government plus other agencies implemented to assist farmers mitigate the effects of the drought conditions experienced in the study area during the 2014-2016 period. In addition the data shows a deficit in the reach of extension officers in the area. Finally, the data shows that certain groups in the population were more vulnerable to the drought conditions and thus suffered more loss than others.
DOI: 10.5281/zenodo.6367381
title: Indoor3Dmapping dataset

description: <strong>Data Organization</strong><br> Under the root directory for the whole acquisition, there is a <em>positions.csv</em> file and 3 subdirectories: <em>img</em>, <em>dense</em>, and <em>sparse</em>. The mobile mapping 3D dataset was generated walking around an indoor space and each <strong>&lt;positionID&gt;</strong> corresponds to a unique pose along the trajectory of this motion. This version of the dataset contains a total of 99 unique poses. There is a separation of 1 meter between each adjacent pose. <pre><code>root ├── img │ ├── &lt;positionID&gt;.jpg | └── ... ├── dense │ ├── &lt;positionID&gt;.png | └── ... ├── sparse │ ├── &lt;positionID&gt;.png | └── ... └── positions.csv</code></pre> <strong>positions.csv</strong> File format: One ASCII file. File structure Rows: Each image is one record. File structure Columns: Comma separated headers, with exact order described below. Filename, column 0: Panorama file name as on disk, without file extension. Timestamps, column 1: Absolute time at which the panorama was captured, Decimal notation, without thousands separator (microseconds). X,Y,Z, columns 2 through 4: Position of the panoramic camera in decimal notation, without thousands separator (meters). w,x,y,z, columns 5 through 8: Rotation of the camera, quaternion. <strong>sparse</strong> Set of equirectangular rendered depth images. 1920x960 resolution 16-bit grayscale PNG White → 0 m Black → ≥ 16 m or absent geometry Occlusions: If a pixel was hit by several rays, only the value of the closest one is represented. <strong>dense</strong> Set of equirectangular rendered depth images. 1920x960 resolution 16-bit grayscale PNG White → 0 m Black → ≥ 16 m or absent geometry Occlusions: If a pixel was hit by several rays, only the value of the closest one is represented. <strong>img</strong><br> A set of equirectangular panoramic images was taken with a 360° color camera in 1920x960 resolution. They follow the same trajectory.
DOI: 10.5281/zenodo.6367380
title: Indoor3Dmapping dataset

description: <strong>Data Organization</strong><br> Under the root directory for the whole acquisition, there is a <em>positions.csv</em> file and 3 subdirectories: <em>img</em>, <em>dense</em>, and <em>sparse</em>. The mobile mapping 3D dataset was generated walking around an indoor space and each <strong>&lt;positionID&gt;</strong> corresponds to a unique pose along the trajectory of this motion. This version of the dataset contains a total of 99 unique poses. There is a separation of 1 meter between each adjacent pose. <pre><code>root ├── img │ ├── &lt;positionID&gt;.jpg | └── ... ├── dense │ ├── &lt;positionID&gt;.png | └── ... ├── sparse │ ├── &lt;positionID&gt;.png | └── ... └── positions.csv</code></pre> <strong>positions.csv</strong> File format: One ASCII file. File structure Rows: Each image is one record. File structure Columns: Comma separated headers, with exact order described below. Filename, column 0: Panorama file name as on disk, without file extension. Timestamps, column 1: Absolute time at which the panorama was captured, Decimal notation, without thousands separator (microseconds). X,Y,Z, columns 2 through 4: Position of the panoramic camera in decimal notation, without thousands separator (meters). w,x,y,z, columns 5 through 8: Rotation of the camera, quaternion. <strong>sparse</strong> Set of equirectangular rendered depth images. 1920x960 resolution 16-bit grayscale PNG White → 0 m Black → ≥ 16 m or absent geometry Occlusions: If a pixel was hit by several rays, only the value of the closest one is represented. <strong>dense</strong> Set of equirectangular rendered depth images. 1920x960 resolution 16-bit grayscale PNG White → 0 m Black → ≥ 16 m or absent geometry Occlusions: If a pixel was hit by several rays, only the value of the closest one is represented. <strong>img</strong><br> A set of equirectangular panoramic images was taken with a 360° color camera in 1920x960 resolution. They follow the same trajectory.
DOI: 10.5281/zenodo.6368003
title: Dataset of D.-H. Chae et al., Meas. Sci.Technol 33 (2022) 065012, "Investigation of the stability of graphene devices for quantum resistance metrology at direct and alternating current"

description: Compilation of the datasets used to generate the figures in the following journal publication: "Investigation of the stability of graphene devices for quantum resistance metrology at direct and alternating current" by Dong-Hun Chae, Mattias Kruskopf, Jan Kucera, Jaesung Park, Ngoc Thanh Mai Tran, Dan Bee Kim, Klaus Pierz, Martin Götz, Yefei Yin, Pavel Svoboda, Petr Chrobok, François Couëdo and Félicien Schopfer, Meas. Sci. Technol. 33 (2022) 065012, DOI:10.1088/1361-6501/ac4a1a
description: This work was supported in part by the Joint Research Project GIQS (18SIB07). This project received funding from the European Metrology programme for Innovation and Research (EMPIR) co-financed by the Participating States and from the European Unions' Horizon 2020 research and innovation programme. Funder ID: 10.13039/100014132, Grant no: 18SIB07 GIQS.
DOI: 10.5281/zenodo.6368002
title: Dataset of D.-H. Chae et al., Meas. Sci.Technol 33 (2022) 065012, "Investigation of the stability of graphene devices for quantum resistance metrology at direct and alternating current"

description: Compilation of the datasets used to generate the figures in the following journal publication: "Investigation of the stability of graphene devices for quantum resistance metrology at direct and alternating current" by Dong-Hun Chae, Mattias Kruskopf, Jan Kucera, Jaesung Park, Ngoc Thanh Mai Tran, Dan Bee Kim, Klaus Pierz, Martin Götz, Yefei Yin, Pavel Svoboda, Petr Chrobok, François Couëdo and Félicien Schopfer, Meas. Sci. Technol. 33 (2022) 065012, DOI:10.1088/1361-6501/ac4a1a
description: This work was supported in part by the Joint Research Project GIQS (18SIB07). This project received funding from the European Metrology programme for Innovation and Research (EMPIR) co-financed by the Participating States and from the European Unions' Horizon 2020 research and innovation programme. Funder ID: 10.13039/100014132, Grant no: 18SIB07 GIQS.
DOI: 10.5281/zenodo.6368009
title: MorphinPlan Experimental Evaluation results

description: Results of the empirical evaluation of the MorphinPlan framework.
DOI: 10.5281/zenodo.6368008
title: MorphinPlan Experimental Evaluation results

description: Results of the empirical evaluation of the MorphinPlan framework.
DOI: 10.34740/kaggle/dsv/3319345
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.6368005
title: Data set from the article Malavazos AE, Capitanio G, Milani V, Ambrogi F, Matelloni IA, Basilico S, Dubini C, Sironi FM, Stella E, Castaldi S, Secchi F, Menicanti L, Iacobellis G, Corsi Romanelli MM, Carruba MO, Morricone LF. Tri-Ponderal Mass Index vs body Mass Index in discriminating central obesity and hypertension in adolescents with overweight. Nutr Metab Cardiovasc Dis. 2021 May 6;31(5):1613-1621. doi: 10.1016/j.numecd.2021.02.013. Epub 2021 Feb 23. Erratum in: Nutr Metab Cardiovasc Dis. 2021 Oct 28;31(11):3247-3248. PMID: 33741212.

description: Data set from the article Malavazos AE, Capitanio G, Milani V, Ambrogi F, Matelloni IA, Basilico S, Dubini C, Sironi FM, Stella E, Castaldi S, Secchi F, Menicanti L, Iacobellis G, Corsi Romanelli MM, Carruba MO, Morricone LF. Tri-Ponderal Mass Index vs body Mass Index in discriminating central obesity and hypertension in adolescents with overweight. Nutr Metab Cardiovasc Dis. 2021 May 6;31(5):1613-1621. doi: 10.1016/j.numecd.2021.02.013. Epub 2021 Feb 23. Erratum in: Nutr Metab Cardiovasc Dis. 2021 Oct 28;31(11):3247-3248. PMID: 33741212. Astract
DOI: 10.5281/zenodo.6368004
title: Data set from the article Malavazos AE, Capitanio G, Milani V, Ambrogi F, Matelloni IA, Basilico S, Dubini C, Sironi FM, Stella E, Castaldi S, Secchi F, Menicanti L, Iacobellis G, Corsi Romanelli MM, Carruba MO, Morricone LF. Tri-Ponderal Mass Index vs body Mass Index in discriminating central obesity and hypertension in adolescents with overweight. Nutr Metab Cardiovasc Dis. 2021 May 6;31(5):1613-1621. doi: 10.1016/j.numecd.2021.02.013. Epub 2021 Feb 23. Erratum in: Nutr Metab Cardiovasc Dis. 2021 Oct 28;31(11):3247-3248. PMID: 33741212.

description: Data set from the article Malavazos AE, Capitanio G, Milani V, Ambrogi F, Matelloni IA, Basilico S, Dubini C, Sironi FM, Stella E, Castaldi S, Secchi F, Menicanti L, Iacobellis G, Corsi Romanelli MM, Carruba MO, Morricone LF. Tri-Ponderal Mass Index vs body Mass Index in discriminating central obesity and hypertension in adolescents with overweight. Nutr Metab Cardiovasc Dis. 2021 May 6;31(5):1613-1621. doi: 10.1016/j.numecd.2021.02.013. Epub 2021 Feb 23. Erratum in: Nutr Metab Cardiovasc Dis. 2021 Oct 28;31(11):3247-3248. PMID: 33741212. Astract
DOI: 10.6084/m9.figshare.19383323
title: Data File for "How Friendly to Entrepreneurs are 'Business Friendly' Policies?"

description: Data File for: <br>Benjamin VanMetre and Joshua Hall, “How Friendly to Entrepreneurs are ‘Business Friendly’ Policies? Some Preliminary Results,” <i>Journal of Business and Economic Perspectives</i> 28(1) 2011: 105-116.<br>
DOI: 10.6084/m9.figshare.19383323.v1
title: Data File for "How Friendly to Entrepreneurs are 'Business Friendly' Policies?"

description: Data File for: <br>Benjamin VanMetre and Joshua Hall, “How Friendly to Entrepreneurs are ‘Business Friendly’ Policies? Some Preliminary Results,” <i>Journal of Business and Economic Perspectives</i> 28(1) 2011: 105-116.<br>
DOI: 10.15468/dl.4r2jq2
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Bomarea andreana Baker"
 ]
}

 The dataset includes 75 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005976-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3pk2bg
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ecklonia maxima (Osbeck) Papenf."
 ]
}

 The dataset includes 101 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003274-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9urbh
title: Occurrence Download

description: A dataset containing 24396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Traunsteinera globosa (L.) Rchb."
 ]
}

 The dataset includes 24396 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067117-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hnerm
title: Occurrence Download

description: A dataset containing 1009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glaucidium palmarum Nelson, 1901",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1009 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007307-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2vbdj
title: Occurrence Download

description: A dataset containing 474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxyuranus scutellatus Peters, 1867",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "OccurrenceStatus is Present",
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 }
 ]
}

 The dataset includes 474 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018544-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9x84a
title: Occurrence Download

description: A dataset containing 39549 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Pilosella lactucella (Wallr.) P.D.Sell & C.West"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 39549 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039706-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skg966
title: Occurrence Download

description: A dataset containing 270 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus stuhlmannii Warb."
 ]
}

 The dataset includes 270 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018554-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqebeb
title: Occurrence Download

description: A dataset containing 54383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Reptilia",
 "Country is United States of America",
 "Geometry POLYGON((-118.762207 37.317751,-118.762207 33.852169,-114.169921 33.852169,-114.169921 37.317751,-118.762207 37.317751))",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 54383 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007307-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwnwqy
title: Occurrence Download

description: A dataset containing 31858 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pygopodidae"
 ]
}

 The dataset includes 31858 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019495-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wio2by
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aricia artaxerxes (Fabricius, 1793)",
 "DatasetKey is Atlas Survey of the Butterflies of Denmark"
 ]
}

 The dataset includes 362 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007307-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkw9ex
title: Occurrence Download

description: A dataset containing 271779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bubo scandiacus (Linnaeus, 1758)"
 ]
}

 The dataset includes 271779 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037764-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rba6gu
title: Occurrence Download

description: A dataset containing 9164 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coffea arabica L."
 ]
}

 The dataset includes 9164 records from 368 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019497-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.