cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yjf9jp
title: Occurrence Download

description: A dataset containing 623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "TaxonKey is Digitaria insularis (L.) Mez ex Ekman"
 ]
}

 The dataset includes 623 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001636-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pkuwf
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tripterospermum cordatum (C.Marquand) Harry Sm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 179 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271823-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3msjt
title: Occurrence Download

description: A dataset containing 710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus yunnanensis Franch."
 ]
}

 The dataset includes 710 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122253-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kuw4v
title: Occurrence Download

description: A dataset containing 30124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poecile montanus (Conrad von Baldenstein, 1827)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2022",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 30124 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257335-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10948854
title: North America (SW) Gross Primary Productivity (GPP) Dataset 2019 (GeoTIFF) - ZIP file

description: Product: Gross Primary Productivity (GPP)

Year: 2019

Region: North America (southwest)

Temporal Scale: 8 Days

Spatial Resolution: 500 meters

Method: Light-use-efficiency (LUE) approach.

Referred Publication: https://www.sciencedirect.com/science/article/pii/S0048969718307149

https://onlinelibrary.wiley.com/doi/10.1111/gcb.12261

This archive has been uploaded as a .zip file, due to repeated difficulties uploading single GeoTIFFs to Zenodo. 

NOTE: As ArcPy classifies 'no data' pixels as very low negative values, users should mask all data values below 0 to prevent these affecting statistics.
DOI: 10.5281/zenodo.10948855
title: North America (SW) Gross Primary Productivity (GPP) Dataset 2019 (GeoTIFF) - ZIP file

description: Product: Gross Primary Productivity (GPP)

Year: 2019

Region: North America (southwest)

Temporal Scale: 8 Days

Spatial Resolution: 500 meters

Method: Light-use-efficiency (LUE) approach.

Referred Publication: https://www.sciencedirect.com/science/article/pii/S0048969718307149

https://onlinelibrary.wiley.com/doi/10.1111/gcb.12261

This archive has been uploaded as a .zip file, due to repeated difficulties uploading single GeoTIFFs to Zenodo. 

NOTE: As ArcPy classifies 'no data' pixels as very low negative values, users should mask all data values below 0 to prevent these affecting statistics.
DOI: 10.15468/dl.cwsweh
title: Occurrence Download

description: A dataset containing 2076360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-17.90481 35.58778,-20.65268 19.20032,54.56719 22.0485,64.78492 34.27797,66.9589 70.91948,38.91451 72.09145,11.3049 71.68597,-25.2684 67.34813,-17.90481 35.58778))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prunus L."
 ]
}

 The dataset includes 2076360 records from 2796 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0249358-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.33250.04801
title: Seasons and Body Organs Correspondent Pattern - 12 Octaves as 12 Chinese Zodiac Signs series 2
DOI: 10.13140/rg.2.2.24310.93761
title: Persecution Discourse Experiment Dataset
DOI: 10.15468/dl.3readq
title: Occurrence Download

description: A dataset containing 2829 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Archimantis latistyla"
 ]
}

 The dataset includes 2829 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042300-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/35kquy
title: Données naturalistes opportunistes issues de la plateforme INaturalist-Données naturalistes opportunistes "maitilde_ht"

description: Données naturalistes opportunistes saisies sur iNaturalist à partir du compte "maitilde_ht"
DOI: 10.15468/dl.3ufhsa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Insecta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-180 0,-172.5 0,-172.5 7.5,-180 7.5,-180 0))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042301-251009101135966/datasets/export for details.
DOI: 10.13140/rg.2.2.20488.55040/1
title: SkelEpanet: Tool to simplify models of hydraulic networks
DOI: 10.13140/rg.2.2.29716.01929
title: flower walk clip aug 31 2021
DOI: 10.13140/rg.2.2.15088.38409
title: Jacob Nagler - List of Publications
DOI: 10.13140/rg.2.2.19492.40322
title: Road Accident Statistics in Sri Lanka (2005 - 2006)
DOI: 10.13140/rg.2.2.16949.60641
title: Lugar en consulta y difusión de mis trabajos en página de internet 31-08 al 05-09 del 2021
DOI: 10.15468/nnfar4
title: A new genus of large hydrothermal vent-endemic gastropod (Neomphalina: Peltospiridae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chen, Chong, Linse, Katrin, Roterman, Christopher N., Copley, Jonathan T., Rogers, Alex D. (2015): A new genus of large hydrothermal vent-endemic gastropod (Neomphalina: Peltospiridae). Zoological Journal of the Linnean Society (Zool. J. Linn. Soc.) 175 (2): 319-335, DOI: 10.1111/zoj.12279, URL: http://dx.doi.org/10.1111/zoj.12279
DOI: 10.15468/5udjcb
title: Three new species of Oppiidae (Acari, Oribatida) from Mexico

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ermilov, Sergey G., Kontschán, Jenő (2023): Three new species of Oppiidae (Acari, Oribatida) from Mexico. Zootaxa 5360 (1): 113-126, DOI: 10.11646/zootaxa.5360.1.6, URL: https://www.mapress.com/zt/article/download/zootaxa.5360.1.6/52108AbstractThree new species of Oppiidae (Oribatida) — Graptoppia (Apograptoppia) rooensis sp. nov., Neoamerioppia (Neoamerioppia) mexicoensis sp. nov., and Ramusella (Insculptoppia) quintanaensis sp. nov. —are described based on adults collected from leaf litter in a large karst pit in the secondary semi-evergreen tropical forest in Mexico. The subgenus Graptoppia (Apograptoppia) is recorded for the first time in the Neotropical region.
DOI: 10.15468/n6xgry
title: New record of Pilaria crane flies (Diptera: Limoniidae) from Korea

description: This dataset contains the digitized treatments in Plazi based on the original journal article Podenas, Sigitas, Byun, Sun-Jae Park and Hye-Woo (2022): New record of Pilaria crane flies (Diptera: Limoniidae) from Korea. Journal of Species Research 11 (1): 38-46, DOI: 10.12651/JSR.2022.11.1.038
DOI: 10.5281/zenodo.14175563
title: indicator_maculatus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14175564
title: indicator_maculatus_decontaminated_FSCR.fasta.gz
DOI: 10.15468/dl.4d9927
title: Occurrence Download

description: A dataset containing 765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Muscina pascuorum, Muscina pascuorum, Muscina pascuorum, Muscina pascuorum, Muscina pascuorum, Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen, 1826), Muscina pascuorum Meigen, 1826, Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen 1826), Muscina pascuorum (Meigen, 1826), 204270191, 161551702, Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen, 1826), 157700982, Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen, 1826), Muscina pascuorum (Meigen, 1826), Muscina pascuorum Meigen 1826, Musca pascuorum Meigen, 1826, Steelea pales Emden, 1965, Musca pascuorum Meigen, 1826, Musca pascuorum Meigen, 1826, 177048816, Muscina japonica Shinonaga, 1974, 204270192, Muscina japonica Shinonaga, 1974, Musca pascuorum Meigen, 1826, 211058028, Musca pascuorum Meigen, 1826, Muscina japonica Shinonaga, 1974, Musca pascuorum Meigen, 1826, Musca pascuorum Meigen, 1826, Musca pascuorum Meigen, 1826)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 765 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018438-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14175570
title: holcosus_undulatus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14175571
title: holcosus_undulatus_decontaminated_FSCR.fasta.gz
DOI: 10.15468/dl.9vkw5s
title: Occurrence Download

description: A dataset containing 34077388 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is DOF/BirdLife Denmark - Observations from DOFbasen"
 ]
}

 The dataset includes 34077388 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018421-241107131044228/datasets/export for details.
DOI: 10.5281/zenodo.14175575
title: xyleborus_affinis_spades_01.fasta.gz
DOI: 10.5281/zenodo.14175576
title: xyleborus_affinis_spades_01.fasta.gz
DOI: 10.5281/zenodo.13254981
title: Data supporting: Improved Tangential Interpolation-based Multi-input Multi-output Modal Analysis of a Full Aircraft
DOI: 10.5281/zenodo.13254982
title: Data supporting: Improved Tangential Interpolation-based Multi-input Multi-output Modal Analysis of a Full Aircraft
DOI: 10.5281/zenodo.14173403
title: Data supporting: Improved Tangential Interpolation-based Multi-input Multi-output Modal Analysis of a Full Aircraft
DOI: 10.5281/zenodo.14175569
title: Data supporting: Improved Tangential Interpolation-based Multi-input Multi-output Modal Analysis of a Full Aircraft
DOI: 10.15468/dl.at4ftp
title: Occurrence Download

description: A dataset containing 3446 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pulsatilla cernua (Thunb.) Bercht. & J.Presl"
 ]
}

 The dataset includes 3446 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018439-241107131044228/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.27807924
title: <b>Non-native plants engage differently in native infochemical networks via plant volatiles: avoiding herbivores but enhancing pollinator relationships</b>

description: Plant volatiles provide information that mediates interactions among plants, herbivores, predators, parasitoids, and pollinators. However, little is known about how volatiles released by non-native plant species integrate into information systems of the communities they invade. We compared arthropod communities on 25 non-native and 56 native species at 28 field sites and conducted bioassays and volatile analyses with 15 pairs of non-native and native congeners in a common garden experiment. Native species had much higher leaf arthropod abundances and diversities than non-natives both in the field survey and common garden experiment. In contrast, pollinator abundance and diversity were greater on non-native species than on native species. Leaf alkane and terpene volatiles related to insect preferences, were emitted at higher rates by native species and attracted more herbivores, whereas flower terpene volatiles were emitted at higher rates by non-native species and were more attractive to pollinators. Decreased preferences of herbivores for non-native species corresponded with less leaf damage, and increased preferences of pollinators for non-native species corresponded with higher seed production. We propose that plant volatiles from non-native plants engage in native infochemical networks in ways that minimize risks posed by herbivores, relative to native plants, but strengthen their interactions with mutualists.
DOI: 10.6084/m9.figshare.27807924.v1
title: <b>Non-native plants engage differently in native infochemical networks via plant volatiles: avoiding herbivores but enhancing pollinator relationships</b>

description: Plant volatiles provide information that mediates interactions among plants, herbivores, predators, parasitoids, and pollinators. However, little is known about how volatiles released by non-native plant species integrate into information systems of the communities they invade. We compared arthropod communities on 25 non-native and 56 native species at 28 field sites and conducted bioassays and volatile analyses with 15 pairs of non-native and native congeners in a common garden experiment. Native species had much higher leaf arthropod abundances and diversities than non-natives both in the field survey and common garden experiment. In contrast, pollinator abundance and diversity were greater on non-native species than on native species. Leaf alkane and terpene volatiles related to insect preferences, were emitted at higher rates by native species and attracted more herbivores, whereas flower terpene volatiles were emitted at higher rates by non-native species and were more attractive to pollinators. Decreased preferences of herbivores for non-native species corresponded with less leaf damage, and increased preferences of pollinators for non-native species corresponded with higher seed production. We propose that plant volatiles from non-native plants engage in native infochemical networks in ways that minimize risks posed by herbivores, relative to native plants, but strengthen their interactions with mutualists.
DOI: 10.5281/zenodo.14175567
title: Validating and Confirming Crucial Service Quality Attributes to Airline Customers' Recommendations: A Feature Selection Approach
DOI: 10.5281/zenodo.14175568
title: Validating and Confirming Crucial Service Quality Attributes to Airline Customers' Recommendations: A Feature Selection Approach
DOI: 10.15468/dl.g2qbqn
title: Occurrence Download

description: A dataset containing 176937 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Magnoliaceae"
 ]
}

 The dataset includes 176937 records from 1114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018440-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/tg7p-hr23
title: NILM Datasets for Research: IAWE, REDD, and UKDALE

description: This dataset includes the original IAWE, REDD, and UKDALE datasets, as well as the pre-processed tensor data used in the research paper. The files with the .h5 extension are the original datasets, while the .npy files are the tensorized data used in the paper.The IAWE dataset is a high-resolution energy consumption dataset collected from a single household in India, recorded at a 1-second interval. It includes data on various appliances such as air conditioners, refrigerators, and lighting systems, making it particularly useful for studying load patterns in developing countries.The REDD dataset, developed by MIT, is a benchmark dataset in the NILM field. It consists of data from 6 U.S. households, with high-frequency voltage and current waveforms sampled at 15 kHz and low-frequency aggregate power data recorded every second. REDD provides detailed appliance-level energy usage data for devices like refrigerators, microwaves, and washers, making it ideal for energy disaggregation studies.The UKDALE dataset, provided by Imperial College London, covers long-term electricity consumption data from 5 households in the UK, recorded since 2012. It includes aggregate power data at 1-second intervals and appliance-level data at 6-second intervals, with information on approximately 50 appliances. Its long time span and seasonal variations make it particularly suitable for studying long-term household energy behavior.The combination of these datasets allows for diverse, real-world energy analysis, while the tensorized .npy files streamline their use in tensor decomposition and deep learning applications.
DOI: 10.15468/dl.4y6w6b
title: Occurrence Download

description: A dataset containing 1051812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1970-2000"
 ]
}

 The dataset includes 1051812 records from 539 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018437-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s368g8
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoracantha recurva",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031274-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-8285-1
title: Acute Trusts: Adult Inpatients Survey, 2016
title: National Health Service Patient Survey Programme, 2003-
title: NHS Patient Survey Programme

description: &lt;p&gt;The National Patient Survey Programme is one of the largest patient survey programmes in the world. It provides an opportunity to monitor experiences of health and provides data to assist with registration of trusts and monitoring on-going compliance. Understanding what people think about the care and treatment they receive is crucial to improving the quality of care being delivered by healthcare organisations. One way of doing this is by asking people who have recently used the health service to tell the Care Quality Commission (CQC) about their experiences.&lt;br&gt;
&lt;br&gt;The CQC will use the results from the surveys in the regulation, monitoring and inspection of NHS acute trusts (or, for community mental health service user surveys, providers of mental health services) in England. Data are used in CQC Insight, an intelligence tool which identifies potential changes in quality of care and then supports deciding on the right regulatory response. Survey data will also be used to support CQC inspections.&lt;br&gt;
&lt;br&gt;
Each survey has a different focus. These include patients' experiences in outpatient and accident and emergency departments in Acute Trusts, and the experiences of people using mental health services in the community.&lt;br&gt;
&lt;br&gt;
&lt;i&gt;History of the programme&lt;br&gt;&lt;/i&gt;&lt;br&gt;
The National Patient Survey Programme began in 2002, and was then conducted by the Commission for Health Improvement (CHI), along with the Commission for Healthcare Audit and Inspection (CHAI). Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On 1 April 2009, the CQC was formed, which replaced the Healthcare Commission.&lt;br&gt;
&lt;br&gt;
Further information about the National Patient Survey Programme may be found on the CQC &lt;a href="http://www.cqc.org.uk/content/surveys" title="Patient Survey Programme" ,="" target="_blank"&gt;Patient Survey Programme&lt;/a&gt; web pages.&lt;br&gt;
&lt;br&gt;
&lt;/p&gt; The &lt;i&gt;Acute Trusts: Adult Inpatients Survey, 2016&lt;/i&gt; was designed to provide actionable feedback to each participating NHS trust on patients' views of the care they had received as inpatients in England. Results are used by CQC in a range of ways, including the assessment of NHS performance as well as in regulatory activities such as registration, monitoring on-going compliance and reviews.&lt;br&gt;
&lt;br&gt;
DOI: 10.25346/s6eecgix/iemnsi
title: qt_fi-1.qm
DOI: 10.5255/ukda-sn-8290-1
title: Scottish Health Survey, 2016
title: Scottish Health Survey, 1995-
title: SHeS

description: The &lt;i&gt;Scottish Health Survey&lt;/i&gt; (SHeS) series was established in 1995. Commissioned by the Scottish Government Health Directorates, the series provides regular information on aspects of the public's health and factors related to health which cannot be obtained from other sources. The SHeS series was designed to:&lt;ul&gt;&lt;li&gt;estimate the prevalence of particular health conditions in Scotland;&lt;/li&gt;&lt;li&gt;estimate the prevalence of certain risk factors associated with these health conditions and to document the pattern of related health behaviours;&lt;/li&gt;&lt;li&gt;look at differences between regions and between subgroups of the population in the extent of their having these particular health conditions or risk factors, and to make comparisons with other national statistics for Scotland and England;&lt;/li&gt;&lt;li&gt;monitor trends in the population's health over time;&lt;/li&gt;&lt;li&gt;make a major contribution to monitoring progress towards health targets.&lt;/li&gt;&lt;/ul&gt;Each survey in the series includes a set of core questions and measurements (height and weight and, if applicable, blood pressure, waist circumference, urine and saliva samples), plus modules of questions on specific health conditions that vary from year to year. Each year the core sample has also been augmented by an additional boosted sample for children. Since 2008 NHS Health Boards have also had the opportunity to boost the number of adult interviews carried out in their area. &lt;br&gt;
&lt;br&gt;
The Scottish Government &lt;a href="https://www.gov.scot/collections/scottish-health-survey/" title="Scottish Health Survey"&gt;Scottish Health Survey&lt;/a&gt; webpages contain further information about the series, including latest news and publications. &lt;br&gt;
&lt;br&gt;
DOI: 10.25346/s6eecgix/3pqshj
title: opengl32sw-1.dll
DOI: 10.25346/s6eecgix/jmvyhc
title: d3dcompiler_47-1.dll