cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14609690
title: Global Disease Management Apps Market 2024 To 2033

description: Disease Management Apps Market Size, Trends and Insights By Platform Type (iOS, Android, Others), By Device (Smartphones, Tablets, Wearables, Others), By Indication (Obesity, Cardiovascular Issues, Mental Health, Diabetes, Others), By End-User (Patients, Healthcare Providers, Payers, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the global Disease Management Apps Market is expected to record a CAGR of 11.6% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 10,287.8 Million. By 2033, the valuation is anticipated to reach USD 27,625.1 Million.

The disease management apps market comprises digital health solutions designed to assist individuals in managing chronic diseases, infectious conditions, and mental health disorders through mobile applications and web platforms.

These apps offer features such as symptom tracking, medication reminders, lifestyle coaching, and virtual consultations, empowering patients to monitor their health, adhere to treatment plans, and make informed decisions.

With advancements in technology, the increasing prevalence of chronic illnesses, and the growing adoption of telehealth services, the Disease Management Apps Market plays a vital role in facilitating remote patient monitoring, improving healthcare outcomes, and enhancing overall wellness.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=50810
DOI: 10.5281/zenodo.14609691
title: Global Disease Management Apps Market 2024 To 2033

description: Disease Management Apps Market Size, Trends and Insights By Platform Type (iOS, Android, Others), By Device (Smartphones, Tablets, Wearables, Others), By Indication (Obesity, Cardiovascular Issues, Mental Health, Diabetes, Others), By End-User (Patients, Healthcare Providers, Payers, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the global Disease Management Apps Market is expected to record a CAGR of 11.6% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 10,287.8 Million. By 2033, the valuation is anticipated to reach USD 27,625.1 Million.

The disease management apps market comprises digital health solutions designed to assist individuals in managing chronic diseases, infectious conditions, and mental health disorders through mobile applications and web platforms.

These apps offer features such as symptom tracking, medication reminders, lifestyle coaching, and virtual consultations, empowering patients to monitor their health, adhere to treatment plans, and make informed decisions.

With advancements in technology, the increasing prevalence of chronic illnesses, and the growing adoption of telehealth services, the Disease Management Apps Market plays a vital role in facilitating remote patient monitoring, improving healthcare outcomes, and enhancing overall wellness.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=50810
DOI: 10.13145/bacdive109478.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109479.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109480.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109481.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109482.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109483.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109484.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109485.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109486.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.34816/ifao.archives.99817
title: KELLIA_nb_1986_03449

description: Référence : nb_1986_03449<br />Site : Kellia / Quşūr al-Ruba‘yyāt<br />Secteur : QR_195<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.99816
title: KELLIA_nb_1986_03410

description: Référence : nb_1986_03410<br />Site : Kellia / Quşūr al-Ruba‘yyāt<br />Secteur : Appartement nord-ouest (QR_195); QR_195<br />Type : photographie<br />
DOI: 10.15468/dl.hs5cab
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbophyllum pachyglossum Schltr."
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104158-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhb7tm
title: Occurrence Download

description: A dataset containing 6121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cantharis decipiens Baudi, 1871)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 6121 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0234550-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.99815
title: KELLIA_nb_1986_03431

description: Référence : nb_1986_03431<br />Site : Kellia / Quşūr al-Ruba‘yyāt<br />Secteur : Appartement nord-ouest (QR_195); QR_195<br />Type : photographie<br />
DOI: 10.5281/zenodo.2609187
title: Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks

description: Description

unarXive is a scholarly data set containing publications' full-text, annotated in-text citations, and a citation network.

The data is generated from all LaTeX sources on arXiv and therefore of higher quality than data generated from PDF files.

Typical use cases are



Citation recommendation

Citation context analysis

Bibliographic analyses

Reference string parsing


Note: This Zenodo record is an old version of unarXive. You can find the most recent version at https://zenodo.org/record/7752754 and https://zenodo.org/record/7752615

Access

┏━━━━━━━━━━━━━━━━━━━━━━━━━━┓┃  D O W N L O A D   S A M P L E   ┃┗━━━━━━━━━━━━━━━━━━━━━━━━━━┛

To download the whole data set send an access request and note the following:



Note: this Zenodo record is a "full" version of unarXive, which was generated from all of arXiv.org including non-permissively licensed papers. Make sure that your use of the data is compliant with the paper's licensing terms.¹

¹ For information on papers' licenses use arXiv's bulk metadata access.


The code used for generating the data set is publicly available.

Usage examples for our data set are provided at here on GitHub.

Citing

This initial version of unarXive is described in the following journal article.

Tarek Saier, Michael Färber: "unarXive: A Large Scholarly Data Set with Publications' Full-Text, Annotated In-Text Citations, and Links to Metadata", Scientometrics, 2020,[link to an author copy]

The updated version is described in the following conference paper.

Tarek Saier, Michael Färber. "unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network", JCDL 2023.[link to an author copy]
DOI: 10.15468/dl.6v2mwf
title: Occurrence Download

description: A dataset containing 29501 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données du Parc national des Cévennes - Inventaire et suivis d'espèces dans le Parc national des Cévennes"
 ]
}

 The dataset includes 29501 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013190-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.99814
title: KELLIA_nb_1986_03417

description: Référence : nb_1986_03417<br />Site : Kellia / Quşūr al-Ruba‘yyāt<br />Secteur : Appartement nord-ouest (QR_195); QR_195<br />Type : photographie<br />
DOI: 10.5281/zenodo.2553522
title: unarXive: A Large Scholarly Data Set with Publications' Full-Text, Annotated In-Text Citations, and Links to Metadata

description: Description

unarXive is a scholarly data set containing publications' full-text, annotated in-text citations, and a citation network.

The data is generated from all LaTeX sources on arXiv and therefore of higher quality than data generated from PDF files.

Typical use cases are



Citation recommendation

Citation context analysis

Bibliographic analyses

Reference string parsing


This version (v3) of our data set is based on all arXiv publications until 2020-07-31 and on the Microsoft Academic Graph as of 2020-08-18. As additional contribution, we included a table with the publication date and the scientific discipline for each paper for easier filtering.

Note: This Zenodo record is an old version of unarXive. You can find the most recent version at https://zenodo.org/record/7752754 and https://zenodo.org/record/7752615

Access

┏━━━━━━━━━━━━━━━━━━━━━━━━━━┓┃  D O W N L O A D   S A M P L E   ┃┗━━━━━━━━━━━━━━━━━━━━━━━━━━┛

To download the whole data set send an access request and note the following:



Note: this Zenodo record is a "full" version of unarXive, which was generated from all of arXiv.org including non-permissively licensed papers. Make sure that your use of the data is compliant with the paper's licensing terms.¹

¹ For information on papers' licenses use arXiv's bulk metadata access.


The code used for generating the data set is publicly available.

Usage examples for our data set are provided at here on GitHub.

Citing

This initial version of unarXive is described in the following journal article.

Tarek Saier, Michael Färber: "unarXive: A Large Scholarly Data Set with Publications' Full-Text, Annotated In-Text Citations, and Links to Metadata", Scientometrics, 2020,[link to an author copy]

The updated version is described in the following conference paper.

Tarek Saier, Michael Färber. "unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network", JCDL 2023.[link to an author copy]
DOI: 10.5281/zenodo.2553523
title: Bibliometric-Enhanced arXiv: A Data Set for Paper-Based and Citation-Based Tasks

description: Description

unarXive is a scholarly data set containing publications' full-text, annotated in-text citations, and a citation network.

The data is generated from all LaTeX sources on arXiv and therefore of higher quality than data generated from PDF files.

Typical use cases are



Citation recommendation

Citation context analysis

Bibliographic analyses

Reference string parsing


Note: This Zenodo record is an old version of unarXive. You can find the most recent version at https://zenodo.org/record/7752754 and https://zenodo.org/record/7752615

Access

┏━━━━━━━━━━━━━━━━━━━━━━━━━━┓┃  D O W N L O A D   S A M P L E   ┃┗━━━━━━━━━━━━━━━━━━━━━━━━━━┛

To download the whole data set send an access request and note the following:



Note: this Zenodo record is a "full" version of unarXive, which was generated from all of arXiv.org including non-permissively licensed papers. Make sure that your use of the data is compliant with the paper's licensing terms.¹

¹ For information on papers' licenses use arXiv's bulk metadata access.


The code used for generating the data set is publicly available.

Usage examples for our data set are provided at here on GitHub.

Citing

This initial version of unarXive is described in the following journal article.

Tarek Saier, Michael Färber: "unarXive: A Large Scholarly Data Set with Publications' Full-Text, Annotated In-Text Citations, and Links to Metadata", Scientometrics, 2020,[link to an author copy]

The updated version is described in the following conference paper.

Tarek Saier, Michael Färber. "unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network", JCDL 2023.[link to an author copy]
DOI: 10.15468/dl.524pgk
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jurinea dolomiaea Boiss."
 ]
}

 The dataset includes 44 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104165-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pk23tb
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia seleri Donn.Sm."
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0206505-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.99813
title: KELLIA_nb_1986_03448

description: Référence : nb_1986_03448<br />Site : Kellia / Quşūr al-Ruba‘yyāt<br />Secteur : QR_195<br />Type : photographie<br />
DOI: 10.15468/dl.g7welm
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Système d'Information sur la Nature et les Paysages d'Ile de France - Etude écologique de la Cité Scolaire Paul Valéry Paris 12ème"
 ]
}

 The dataset includes 36 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013173-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.99812
title: KELLIA_nb_1986_03504

description: Référence : nb_1986_03504<br />Site : Kellia / Quşūr al-Ruba‘yyāt<br />Secteur : Appartement nord-ouest (QR_195); QR_195<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.99811
title: KELLIA_nb_1986_03416

description: Référence : nb_1986_03416<br />Site : Kellia / Quşūr al-Ruba‘yyāt<br />Secteur : Appartement nord-ouest (QR_195); QR_195<br />Type : photographie<br />
DOI: 10.15468/dl.7mn6fb
title: Occurrence Download

description: A dataset listing the 6034 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astragalus L."
 ]
}

 The dataset's 6034 records were derived from 1497 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104162-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqhgm4
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alytes dickhilleni Arntzen & García-París, 1995",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 124 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015027-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.445xgt
title: Occurrence Download

description: A dataset containing 108276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU, NT, LC)",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2016-2016"
 ]
}

 The dataset includes 108276 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107990-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kk5pb8
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aviceda jerdoni (Blyth, 1842)",
 "Year 2000-2022"
 ]
}

 The dataset includes 154 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0302431-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88yskn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ameletus subalpinus Imanishi, 1931",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0302426-210914110416597/datasets/export for details.
DOI: 10.15468/dl.sdea6a
title: Occurrence Download

description: A dataset containing 16460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Chenopodiastrum hybridum (L.) S.Fuentes, Uotila & Borsch"
 ]
}

 The dataset includes 16460 records from 187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108021-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qddx6
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mitracarpus breviflorus A.Gray"
 ]
}

 The dataset includes 321 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042419-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bdeh2x
title: Occurrence Download

description: A dataset containing 50477546 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Germany"
 ]
}

 The dataset includes 50477546 records from 3666 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0108027-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebg01j
title: Occurrence Download

description: A dataset containing 1787 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ammotragus lervia (Pallas, 1777)"
 ]
}

 The dataset includes 1787 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040230-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6cshj
title: Occurrence Download

description: A dataset containing 4560 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plestiodon inexpectatus (Taylor, 1932)"
 ]
}

 The dataset includes 4560 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0268876-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84rcw5
title: Occurrence Download

description: A dataset containing 16403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vespa velutina Lepeletier, 1836",
 "Year is greater than or equal to 2020",
 "Year is less than or equal to 2022",
 "Country is Belgium"
 ]
}

 The dataset includes 16403 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004199-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ywcep
title: Occurrence Download

description: A dataset containing 65498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 {
 "or" : [
 "Geometry POLYGON((225.50547 9.43923,295.03344 9.43923,295.03344 53.87267,225.50547 53.87267,225.50547 9.43923))",
 "Geometry POLYGON((-16.23087 28.77814,42.01608 28.77814,42.01608 67.22572,-16.23087 67.22572,-16.23087 28.77814))",
 "Geometry POLYGON((84.37749 -59.6283,193.50418 -59.6283,193.50418 31.77106,84.37749 31.77106,84.37749 -59.6283))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Liquidambar L."
 ]
}

 The dataset includes 65498 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0148045-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.