cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.getsfj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trochalopteron peninsulae",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031478-250920141307145/datasets/export for details.
DOI: 10.15468/dl.zbzq4d
title: Occurrence Download

description: A dataset containing 891 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Caracterización biológica de la ventana de biodiversidad municipio de Filandia, Quindío, Colombia"
 ]
}

 The dataset includes 891 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031479-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zgxjxk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Surirella biseriata",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031480-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6p483s
title: Occurrence Download

description: A dataset containing 5452 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Patrones biogeográficos de vegas de la Puna Argentina"
 ]
}

 The dataset includes 5452 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031481-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3n9gnv
title: Occurrence Download

description: A dataset containing 4948 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de fauna mediante fototrampeo en Caño Cristales, La Macarena, Meta"
 ]
}

 The dataset includes 4948 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031482-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pj7wxz
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxychilus alliarius",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031483-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e238424
title: CDC - Weekly Rates of Laboratory-Confirmed COVID-19 Hospitalizations from the COVID-NET Surveillance System

description: The Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) a network that conducts active, population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations among children and adults. COVID-NET, along with the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) and the Influenza Hospitalization Surveillance Network (FluSurv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. COVID-NET is CDC’s source for important data on rates of hospitalizations associated with COVID-19. Hospitalization rates show how many people in the surveillance area are hospitalized with COVID-19, compared to the total number of people residing in that area.
DOI: 10.3886/e238424v2
title: CDC - Weekly Rates of Laboratory-Confirmed COVID-19 Hospitalizations from the COVID-NET Surveillance System

description: The Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) a network that conducts active, population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations among children and adults. COVID-NET, along with the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) and the Influenza Hospitalization Surveillance Network (FluSurv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. COVID-NET is CDC’s source for important data on rates of hospitalizations associated with COVID-19. Hospitalization rates show how many people in the surveillance area are hospitalized with COVID-19, compared to the total number of people residing in that area.
DOI: 10.15468/dl.k2u8yg
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxychilus alliarius",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031484-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6arrp7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Montecincla jerdoni",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031487-250920141307145/datasets/export for details.
DOI: 10.15468/dl.r9ac55
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxychilus alliarius",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031485-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7b4t9r
title: Occurrence Download

description: A dataset containing 4126 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Cruzando el Caribe - Construyendo la capacidad para el ecoturismo en el Darién y Urabá"
 ]
}

 The dataset includes 4126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031488-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gw7vcy
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Surirella capronii",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031489-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13211039
title: Iris Species
DOI: 10.15468/dl.v2zjs9
title: Occurrence Download

description: A dataset containing 1162 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Avifauna de bosques nublados en la cordillera Occidental, departamentos del Valle del Cauca, Risaralda y sur de Antioquia."
 ]
}

 The dataset includes 1162 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031490-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9gq8j
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxychilus alliarius",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 158 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031491-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eb58sx
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Egypt",
 "TaxonKey is one of (Eudocimus albus, Aquila nipalensis)",
 "Year 2024-2025"
 ]
}

 The dataset includes 77 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031493-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e238423
title: CDC - Weekly Rates of Laboratory-Confirmed RSV Hospitalizations from the RSV-NET Surveillance System

description: The Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) is a network that conducts active, population-based surveillance for laboratory-confirmed RSV-associated hospitalizations in children younger than 18 years of age and adults. RSV-NET, along with the Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) an the Influenza Hospitalization Surveillance network (FluSuv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. Because the surveillance areas and age groups included in surveillance have changed over time, trends should be interpreted with caution. RSV-NET is CDC’s source for important data on rates of hospitalizations associated with RSV. Hospitalization rates show how many people in the surveillance area are hospitalized with RSV, compared to the total number of people residing in that area.<br><br>Data are preliminary and subject to change as more data become available. Data will be updated weekly.
DOI: 10.3886/e238423v2
title: CDC - Weekly Rates of Laboratory-Confirmed RSV Hospitalizations from the RSV-NET Surveillance System

description: The Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) is a network that conducts active, population-based surveillance for laboratory-confirmed RSV-associated hospitalizations in children younger than 18 years of age and adults. RSV-NET, along with the Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) an the Influenza Hospitalization Surveillance network (FluSuv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. Because the surveillance areas and age groups included in surveillance have changed over time, trends should be interpreted with caution. RSV-NET is CDC’s source for important data on rates of hospitalizations associated with RSV. Hospitalization rates show how many people in the surveillance area are hospitalized with RSV, compared to the total number of people residing in that area.<br><br>Data are preliminary and subject to change as more data become available. Data will be updated weekly.
DOI: 10.34740/kaggle/dsv/13211463
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.7910/dvn/mqj5ze
title: Optimizing AI Integration: Designing Efficient Business Process Automation Workflows

description: This study demonstrates that the strategic design of business process automation (BPA) workflows is pivotal for optimizing AI integration, addressing the persistent challenges of technical complexity, resource allocation, and process redesign that hinder organizational efficiency. Through the research approach of reducing the methodology to an experiment using n8n platform and incorporating such tools as Google Gemini and OCR APIs, it was able to simulate and validate the two AI-enhanced workflows an AI Customer Service Agent and an Invoice Data-Entry Agent. These workflows have saved a lot of processing time (from minutes/hours to seconds), minimized the number of human errors, and allowed the process to run 24 hours a day 7 days a week with an ability to scale human resources to do high-value tasks. Significant properties of its workflow, specifically the existence of structured decision nodes, augmented context memory handling, and end to end cohesion, was specified to be critical success factors. The findings give a feasible organization roadmap of implementing and leveraging AI-enabled automation, leveraging it as a way to turn cost centers into value-creating assets, maximising data-driven decision-making, and getting concrete efficiency gains in all kinds of business situations. The use of simulated environments and a limited number of specific tools (used in this study, such as n8n, Gemini) can reduce the applicability of the study to any business ecosystem, especially when legacy systems or unstructured data challenges are produced. The workflows had an orientation towards standardized work processes (customer queries, invoice processing) and did not address more dynamic inter-departmental work processes. These designs should be tested in real life over the diverse industries and over the long term by examining their scalability in the high-volume environment as well as ethical procedures (e.g., bias mitigation against AI agent). Another way of improving operational challenges beyond reinforcement learning that could be pursued is further research into adaptive workflows that are optimized naturally through the self.
DOI: 10.15468/dl.7h4wbd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Montecincla cachinnans",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031495-250920141307145/datasets/export for details.
DOI: 10.15468/dl.82smkq
title: Occurrence Download

description: A dataset containing 4318 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registro de Fauna Silvestre en el Inventario Nacional Forestal y de Fauna Silvestre-SERFOR, Perú"
 ]
}

 The dataset includes 4318 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031496-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgrksb
title: Occurrence Download

description: A dataset containing 4368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-292.92 -85.02778,54.60002 -85.02778,54.60002 -30.36054,-292.92 -30.36054,-292.92 -85.02778))",
 "HasGeospatialIssue is false",
 "TaxonKey is Brachiopoda"
 ]
}

 The dataset includes 4368 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018679-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6tcju
title: Occurrence Download

description: A dataset containing 2650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-292.92 -85.02778,54.60002 -85.02778,54.60002 -30.36054,-292.92 -30.36054,-292.92 -85.02778))",
 "HasGeospatialIssue is false",
 "TaxonKey is Nemertea"
 ]
}

 The dataset includes 2650 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018680-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.km8eyq
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Saudi Arabia",
 "Geometry POLYGON((35.41244 28.49309,36.05325 28.4731,36.05325 28.97354,35.42016 28.98098,35.41244 28.49309))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 156 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018681-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjkz65
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.98465 3.06333,-76.16799 3.06333,-76.16799 3.61399,-76.98465 3.61399,-76.98465 3.06333))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Heliornis fulica (Boddaert, 1783)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018682-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7xawn
title: Occurrence Download

description: A dataset containing 20122 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A dataset of marine macroinvertebrate diversity from Mozambique and São Tomé and Príncipe"
 ]
}

 The dataset includes 20122 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018683-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5427s3
title: Occurrence Download

description: A dataset containing 6450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxyura jamaicensis (J.F.Gmelin, 1789)",
 "Country is France",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 6450 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018684-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cf73w
title: Occurrence Download

description: A dataset containing 9073685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Year 1949-2024"
 ]
}

 The dataset includes 9073685 records from 1650 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018685-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0191896.10fu
title: SH0191896.10FU

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.m59p4z
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((78.024563 20.225024, 77.949716 20.219448, 77.876727 20.202857, 77.807408 20.175665, 77.743476 20.138546, 77.686514 20.092419, 77.637925 20.038429, 77.59890300000001 19.977912, 77.570402 19.912364, 77.553113 19.843404, 77.54744700000001 19.772734, 77.553528 19.702094, 77.571192 19.633223, 77.59999000000001 19.567813, 77.63920299999999 19.50747, 77.68785800000001 19.453673, 77.744755 19.40774, 77.80849499999999 19.370794, 77.877517 19.34374, 77.950131 19.327239, 78.024563 19.321694, 78.098995 19.327239, 78.171609 19.34374, 78.24063099999999 19.370794, 78.304371 19.40774, 78.361268 19.453673, 78.40992300000001 19.50747, 78.449136 19.567813, 78.477934 19.633223, 78.495598 19.702094, 78.501679 19.772734, 78.496013 19.843404, 78.478724 19.912364, 78.45022299999999 19.977912, 78.41120100000001 20.038429, 78.362612 20.092419, 78.30565 20.138546, 78.24171800000001 20.175665, 78.172399 20.202857, 78.09941000000001 20.219448, 78.024563 20.225024))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001969-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0191897.10fu
title: SH0191897.10FU

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.