cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1400395.10fu
title: SH1400395.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1400396.10fu
title: SH1400396.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1400398.10fu
title: SH1400398.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1400400.10fu
title: SH1400400.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1400402.10fu
title: SH1400402.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1400405.10fu
title: SH1400405.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1400409.10fu
title: SH1400409.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.a9ajws
title: Occurrence Download

description: A dataset containing 112294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mindarus kinseyi, Tuta absoluta, Planiliza haematocheila, Echinopsis chamaecereus, Carpomya pardalina, Arboridia hussaini, Tubificoides benedii, Manayunkia caspica, Eocyzicus orientalis, Hypanis, Amathillina cristata, Shablogammarus subnudus, Pontogammarus maeoticus, Turcogammarus aralensis, Coregonus albula, Coregonus lavaretus, Coregonus maraenoides, Coregonus migratorius, Coregonus pallasii, Pachycordyle navis)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 112294 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022783-251025141854904/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.30571814
title: HRV AND PTG

description: HRV AND PTG
DOI: 10.6084/m9.figshare.30571814.v1
title: HRV AND PTG

description: HRV AND PTG
DOI: 10.5281/zenodo.17556714
title: The evolution of the interest rate in Morocco from the COVID-19 crisis until 2024

description: Morocco faced major financial and economic shocks due to the COVID-19, including a slowdown in growth, volatile inflation, and a decline in commodity prices, in addition to monetary tightening at the international level. Bank Al-Maghrib has enhanced its role by using the key rate as the principal monetary policy instrument.

The policy rate underwent three different phases between 2020 and 2024: monetary easing supporting the economy, tightening to control inflation, and loosening to support the economic recovery.

To analyze the impact of these decisions, it is necessary to use a conceptual model of monetary transmission such as VAR, and ARDL. This model suggests that short-term interest rates are first influenced by the key rate, which has an impact on the credit conditions offered by commercial banks. Economic growth is influenced by changes in consumption and investment behaviors caused by these conditions. Also, inflation expectations and price stability are influenced by monetary policy.

A few questions arise in this context:

-        What actions has the Central Bank taken to reduce the consequences of economic shocks? 

-        What is the significance of the policy rate as a crucial tool for financing the actual economy? 

-        Is it feasible to maintain price stability in a climate with structural constraints with the recent decline in the policy rate in 2024-2025?

This study aims to assess the policy rate's ability to transmit its effects to the real economy and maintain prices in a Moroccan context characterized by significant economic turbulence.
DOI: 10.5281/zenodo.17556713
title: The evolution of the interest rate in Morocco from the COVID-19 crisis until 2024

description: Morocco faced major financial and economic shocks due to the COVID-19, including a slowdown in growth, volatile inflation, and a decline in commodity prices, in addition to monetary tightening at the international level. Bank Al-Maghrib has enhanced its role by using the key rate as the principal monetary policy instrument.

The policy rate underwent three different phases between 2020 and 2024: monetary easing supporting the economy, tightening to control inflation, and loosening to support the economic recovery.

To analyze the impact of these decisions, it is necessary to use a conceptual model of monetary transmission such as VAR, and ARDL. This model suggests that short-term interest rates are first influenced by the key rate, which has an impact on the credit conditions offered by commercial banks. Economic growth is influenced by changes in consumption and investment behaviors caused by these conditions. Also, inflation expectations and price stability are influenced by monetary policy.

A few questions arise in this context:

-        What actions has the Central Bank taken to reduce the consequences of economic shocks? 

-        What is the significance of the policy rate as a crucial tool for financing the actual economy? 

-        Is it feasible to maintain price stability in a climate with structural constraints with the recent decline in the policy rate in 2024-2025?

This study aims to assess the policy rate's ability to transmit its effects to the real economy and maintain prices in a Moroccan context characterized by significant economic turbulence.
DOI: 10.15468/dl.r98f5j
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Capreolus pygargus"
 ]
}

 The dataset includes 103 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022789-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grtjsw
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Taxus yunnanensis",
 "Year 1000-2025"
 ]
}

 The dataset includes 54 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022791-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17375489
title: DSGA components of various TCGA datasets

description: This dataset provides processed bulk expression data components derived from multiple TCGA cancer cohorts. The  TCGA expression datasets were obtained from the UCSC Xena platform.

The raw data underwent a standardized pre-processing pipeline which included:Data pre-processing, Normalization & Transformation using the `voom` function from the `limma` R package.

Following this pipeline, the DSGA algorithm (Nicolau, Monica, et al. "Disease-specific genomic analysis: identifying the signature of pathologic biology." Bioinformatics 23.8 (2007): 957-965. ) was applied to the processed expression data to generate the resulting data components.

This record contains:* The primary DSGA-derived component files for each TCGA dataset analyzed.* The corresponding clinical survival data (e.g., Overall Survival time and status) for the patients associated with each cohort.

This processed data is intended for researchers interested in analyzing TCGA data using the DSGA framework, validating findings, or for downstream analyses utilizing these pre-computed components.
DOI: 10.5281/zenodo.17556739
title: DSGA components of various TCGA datasets

description: This dataset provides processed bulk expression data components derived from multiple TCGA cancer cohorts. The  TCGA expression datasets were obtained from the UCSC Xena platform.

The raw data underwent a standardized pre-processing pipeline which included:Data pre-processing, Normalization & Transformation using the `voom` function from the `limma` R package.

Following this pipeline, the DSGA algorithm (Nicolau, Monica, et al. "Disease-specific genomic analysis: identifying the signature of pathologic biology." Bioinformatics 23.8 (2007): 957-965. ) was applied to the processed expression data to generate the resulting data components.

This record contains:* The primary DSGA-derived component files for each TCGA dataset analyzed.* The corresponding clinical survival data (e.g., Overall Survival time and status) for the patients associated with each cohort.

This processed data is intended for researchers interested in analyzing TCGA data using the DSGA framework, validating findings, or for downstream analyses utilizing these pre-computed components.
DOI: 10.15468/dl.jkfz9n
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Capricornis rubidus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022792-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpcujq
title: Occurrence Download

description: A dataset containing 414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Opuntia dillenii"
 ]
}

 The dataset includes 414 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022793-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ukykiq
title: Replication Data for: Tracks of Solidarity: Public Opinion and Railway Worker Strikes

description: Replication code and data on railway worker strikes
DOI: 10.5281/zenodo.7832188
title: بهبود تشخیص هرزپیامک در پیامک های فارسی با ارائه یک پایگاه داده جامع,اولین کنفرانس ملی آنالیز داده ها

description: Text messaging is widely regarded as one of the most frequently used methods of text communication among mobile phone users. The affordability and widespread use of texting make it an attractive option for advertisers and spammers. Unfortunately, this has resulted in a large volume of spam messages received by users, lowering their overall satisfaction with mobile phone usage. A significant obstacle in the field of Persian SMS spam classification and removal is the lack of a sufficient and diverse database of both legitimate (ham) and spam SMS messages in Persian. To solve the issue of the limited database of ham and spam Persian SMS messages, in this research a comprehensive database was established by gathering 4,389 text messages from various sources and labeling them.سالاری, محمدحسین و شایگان, محمدامین,1402,بهبود تشخیص هرزپیامک در پیامک های فارسی با ارائه یک پایگاه داده جامع,اولین کنفرانس ملی آنالیز داده ها,یاسوج,,,https://civilica.com/doc/1670746
DOI: 10.5281/zenodo.7832187
title: بهبود تشخیص هرزپیامک در پیامک های فارسی با ارائه یک پایگاه داده جامع,اولین کنفرانس ملی آنالیز داده ها

description: Text messaging is widely regarded as one of the most frequently used methods of text communication among mobile phone users. The affordability and widespread use of texting make it an attractive option for advertisers and spammers. Unfortunately, this has resulted in a large volume of spam messages received by users, lowering their overall satisfaction with mobile phone usage. A significant obstacle in the field of Persian SMS spam classification and removal is the lack of a sufficient and diverse database of both legitimate (ham) and spam SMS messages in Persian. To solve the issue of the limited database of ham and spam Persian SMS messages, in this research a comprehensive database was established by gathering 4,389 text messages from various sources and labeling them.سالاری, محمدحسین و شایگان, محمدامین,1402,بهبود تشخیص هرزپیامک در پیامک های فارسی با ارائه یک پایگاه داده جامع,اولین کنفرانس ملی آنالیز داده ها,یاسوج,,,https://civilica.com/doc/1670746
DOI: 10.15468/dl.sk8bw9
title: Occurrence Download

description: A dataset containing 3166873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Argentina anserina, Crataegus monogyna, Malus, Prunus mahaleb, Prunus persica, Rubus ulmifolius, Ulmus pumila, Urtica urens, Citrus trifoliata, Ruta chalepensis, Acer negundo, Calystegia sepium, Cupressus sempervirens, Cedrus deodara, Carassius auratus, Myocastor coypus, Cirsium sorocephalum, Cota triumfetti, Tagetes minima, Clematis vitalba)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 3166873 records from 5820 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022787-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrvrrr
title: Occurrence Download

description: A dataset containing 2150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carollia castanea",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2150 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004808-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18750803
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Karl Ludwig Philipp Zeyher, http://www.wikidata.org/entity/Q86271. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q86271
DOI: 10.5281/zenodo.8121410
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Karl Ludwig Philipp Zeyher, http://www.wikidata.org/entity/Q86271. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q86271
DOI: 10.15468/dl.tgvhtf
title: Occurrence Download

description: A dataset containing 20120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trinectes",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20120 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004809-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ay3yyj
title: Occurrence Download

description: A dataset containing 836971 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bernice P. Bishop Museum"
 ]
}

 The dataset includes 836971 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004788-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.