cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/bf5ir8
title: Why Mothers are Less Enthusiastic About Breastfeeding than the Experts in China: Evidence from the Social Media Platform Zhihu

description: The keyword search terms included “breast milk”, “breastfeeding”, “alternatives to breastfeeding”, “milk powder feeding”, and “aqueous milk”. A total of 152 questions about three related subjects as well as 10,635 answers to them were crawled. The period for the data is 1 January 2018 to 1 March 2022 and mainly focused on the period from 2019 through 2021. A total of 4,447 answers were left after removing the duplicates and manually deleting meaningless questions and answers. An average answer consists of 1,286 characters, so the total character count is 5,718,842 covering all answer texts.
DOI: 10.15468/dl.3hr2nd
title: Occurrence Download

description: A dataset containing 27536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neoniphon",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 27536 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004076-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hzdft
title: Occurrence Download

description: A dataset containing 12303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isopsetta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12303 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004077-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3hhg7
title: Occurrence Download

description: A dataset containing 10613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Securidaca"
 ]
}

 The dataset includes 10613 records from 407 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004078-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ddwy9l
title: FEMA National Household Survey Data

description: National Household Survey Data Collected by the Federal Emergency Management Agency. The National Household Survey (NHS) tracks progress in personal disaster preparedness through investigation of the American public's preparedness actions, attitudes, and motivations. FEMA administers the survey in English and Spanish via landline and mobile telephone to a random sampling of approximately 5,000 adult respondents. The survey includes a nationally representative sample as well as hazard-specific oversamples, which may include earthquake, flood, wildfire, hurricane, winter storm, extreme heat, tornado, and urban event. FEMA delays publishing the data until approximately the release of the summary results for the subsequent NHS iteration. The NHS ran from 2014 to 2024 annually. But only the 2017, 2018, 2019, 2020, 2021, 2022, 2023 datasets are published openly. Since the end of 2024, the datasets are no longer available on FEMA's website. The original distribution URL for these datasets was: https://www.fema.gov/about/openfema/data-sets/national-household-survey.
DOI: 10.5281/zenodo.18745379
title: METHODS OF DEVELOPING LOGICAL THINKING IN PRESCHOOL CHILDREN

description: This article provides a broad and in-depth analysis of methods for developing logical thinking in preschool children on a scientific basis. The article, based on the “First Step” state curriculum of Uzbekistan, local empirical studies, international meta-analyses and longitudinal observations, details the components of logical thinking (analysis, synthesis, comparison, generalization, classification, establishment of cause-and-effect relationships), their age characteristics and development dynamics, as well as the most effective pedagogical methods and types of activities. The results show that the systematic and game-based development of logical thinking in preschool children has a significant positive impact not only on the intellectual, but also on the speech, emotional and social development of children, and creates a solid foundation for academic success in primary education. The article provides practical recommendations based on empirical evidence for educators, methodologists, parents and education system specialists.
DOI: 10.5281/zenodo.18745380
title: METHODS OF DEVELOPING LOGICAL THINKING IN PRESCHOOL CHILDREN

description: This article provides a broad and in-depth analysis of methods for developing logical thinking in preschool children on a scientific basis. The article, based on the “First Step” state curriculum of Uzbekistan, local empirical studies, international meta-analyses and longitudinal observations, details the components of logical thinking (analysis, synthesis, comparison, generalization, classification, establishment of cause-and-effect relationships), their age characteristics and development dynamics, as well as the most effective pedagogical methods and types of activities. The results show that the systematic and game-based development of logical thinking in preschool children has a significant positive impact not only on the intellectual, but also on the speech, emotional and social development of children, and creates a solid foundation for academic success in primary education. The article provides practical recommendations based on empirical evidence for educators, methodologists, parents and education system specialists.
DOI: 10.15468/dl.rdtcfh
title: Occurrence Download

description: A dataset containing 8953 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phocoenoides",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8953 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004079-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuvfpc
title: Occurrence Download

description: A dataset containing 9565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ocenebra",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9565 records from 225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004080-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tn3bb6gtxt.1
title: Data for 'Precision Oncology, Signaling Pathways Reprogramming and Targeted Therapy: A Holistic Approach to Molecular Cancer Therapeutics'

description: Cancer is a fatal genetic disease with different aspects of complexity, including cancer immune evasion, treatment resistance and recurrence, requiring optimized treatment for proper cure. Molecular studies have revealed that tumors are extremely heterogeneous in nature, leading to the complexity of cancer progression that is ultimately linked to its genetic machinery. It is important to note that patients with the same types of cancer respond differently to cancer treatments, indicating the need for treatment options specific to each patient. Thus, in-depth genomic study of patient's tumor will be needed to fully understand the determinants of cancer initiation and progression for effective targeted therapy. Precision oncology has evolved as a form of cancer therapy focused on genetic profiling of tumors to identify molecular alterations involved in cancer manifestation for tailored individualized treatment of the disease. There has been a deluge of formulation and mass production of anticancer agents in recent years, mainly due to advances in genomic technologies enabling precise targeting of oncogenic pathways involved in disease. This article aims to briefly explain the foundations and frontiers of precision oncology in the context of advancements in the tools and techniques exploited in the process in order to assess its scope and importance to realize the intended goals.
DOI: 10.15468/dl.cwrees
title: Occurrence Download

description: A dataset containing 986217983 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 986217983 records from 19787 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033474-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sa7y32
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "TaxonKey is Aegialitis rotundifolia"
 ]
}

 The dataset includes 56 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024270-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/s6s7eb
title: Ohio Wesleyan University Invertebrate Specimens (Arctos)

description: The invertebrate collection at the Ohio Wesleyan University Museum of Natural History consists of a selection of specimens from a wide range of taxa. Major collections include Pacific and Atlantic corals, gastropod and bivalve mollusc shells, and crustaceans. In addition, the collection includes a set of marine invertebrates collected by the US Fish Commission and donated by the Smithsonian Institution in 1883.
DOI: 10.5281/zenodo.17344178
title: ReESH_US-Ho1: Howland Forest (main tower)

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:

US-Ho1: Howland Forest (main tower)

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)
DOI: 10.5281/zenodo.17344179
title: ReESH_US-Ho1: Howland Forest (main tower)

description: Regional Ecosystem Soil Hydraulics (ReESH) Project:

US-Ho1: Howland Forest (main tower)

The ReESH Database includes soil characteristics of soil samples and corresponding soil water retention curves, which enable the conversion of soil water content to soil water potential.

Database Files: 1) Soil Characteristics:

"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Depth_cm" -- Sample Collection Depth (cm)"Depth" -- Sample Collection Depth (cm)"CLAY" -- Percent Clay (%)"SILT" -- Percent Silt (%)"SAND" -- Percent Sand (%)"RootBiomass_g" -- Fine Root biomass (g per 250mL soil)"Pct_OM" -- Percent Organic Matter (%)"Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)"Med_KsSoil_m_s" -- Median Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Min_KsSoil_m_s" -- Minimum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"Max_KsSoil_m_s" -- Maximum Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"SD_KsSoil_m_s" -- Standard Deviation in Saturated Hydraulic Conductivity (m s^-1) -minimum three replicates"KS_Soil_Flag" -- QAQC flags for Saturated Hydraulic Conductivity measurements (0==good; 1==suspect and use with caution)

2) Soil Water Retention Curves:"Site" -- Site Name (AmeriFlux Site Code)"Sample_ID" -- Unique Sample Identifier "Plot" -- Site Personnel Defined Pit Identifier "Depth_cm" -- Sample Collection Depth (cm)"MPa_Abs" -- Sample Water Potential (-MPa)"Vol_Water" -- Sample Water Content (%)"Hypropfilter" -- Instrument Code (1==WP4C; 2==HyProp)"Sampling_Date" -- Date of Sample Collection (YYYY-MM-DD)"Latitude" -- Site Latitude"Longitude" -- Site Longitude"Veg" -- International Geosphere-Biosphere Program (IGBP) "Bulk_Den_g_m3" -- Sample Bulk Density (g m^-3)
DOI: 10.15468/dl.69c4fn
title: Occurrence Download

description: A dataset containing 17465 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scytosiphon lomentaria"
 ]
}

 The dataset includes 17465 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024271-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.eqf5xtwc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5680147 records)
DOI: 10.15468/dl.tg2enr
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrostria fasciculata"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005800-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgb6tv
title: Occurrence Download

description: A dataset containing 1206 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sedum formosanum"
 ]
}

 The dataset includes 1206 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005801-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsdq7q
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zinnia elegans",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 53 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005804-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m28jbq
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zinnia elegans",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005802-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zc92va
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prosopis juliflora",
 "Country is Mauritania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005803-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3yqmpu
title: Occurrence Download

description: A dataset containing 30801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Brassica oleracea"
 ]
}

 The dataset includes 30801 records from 505 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005799-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2y6q6c
title: Occurrence Download

description: A dataset containing 2802102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Silene",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2802102 records from 4996 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005659-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1397892.10fu
title: SH1397892.10FU

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/sh1397893.10fu
title: SH1397893.10FU

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/sh1397894.10fu
title: SH1397894.10FU

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/sh1397896.10fu
title: SH1397896.10FU

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/sh1397897.10fu
title: SH1397897.10FU

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.