cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tv9k3z
title: Occurrence Download

description: A dataset containing 3456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is UTA Reptiles",
 "Geometry POLYGON((-129.22383 20.44936,-70.63976 20.44936,-70.63976 47.1769,-129.22383 47.1769,-129.22383 20.44936))",
 "HasGeospatialIssue is false",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 3456 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022200-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7fepe
title: Occurrence Download

description: A dataset containing 4397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Casuarina cristata Miq."
 ]
}

 The dataset includes 4397 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022202-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2uvztu
title: Occurrence Download

description: A dataset containing 811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Chenopodium glaucum L."
 ]
}

 The dataset includes 811 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022203-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6xtp8
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alepisaurus ferox Lowe, 1833",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022204-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6kexke
title: Occurrence Download

description: A dataset containing 1785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Gomphocarpus fruticosus (L.) W.T.Aiton"
 ]
}

 The dataset includes 1785 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022205-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.de2hqh
title: Occurrence Download

description: A dataset containing 53541 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate precision invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Country derived from coordinates, Continent derived from coordinates, Continent derived from country, Presumed swapped coordinate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, Depth min max swapped, Elevation min max swapped, Multimedia URI invalid, Multimedia date invalid, Occurrence status inferred from individual count, ccurrence status inferred from basis of record)",
 "TaxonKey is Dama dama (Linnaeus, 1758)",
 "Year 2014-2024"
 ]
}

 The dataset includes 53541 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022201-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdynae
title: Occurrence Download

description: A dataset containing 3918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudolycopodium Holub",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3918 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022206-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbhaar
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enteroctopus dofleini (Wülker, 1910)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 219 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022207-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34760/668fd24e17140
title: ReSpAct

description: The Rehabilitation, Sports and Active lifestyle (ReSpAct) study is a multicentre longitudinal cohort study that aims to evaluate a tailored counselling programme ‘Rehabilitation, Sports and Exercise’ (RSE) (Dutch: ‘Revalidatie, Sport en Bewegen’, RSB) in inpatients and outpatients in the Dutch rehabilitation care. Besides, a process evaluation was carried out on the process of implementation of the programme in Dutch rehabilitation care. The main objectives of the research project ReSpAct are: - To gain more insight in the possible dose-response associations between the RSE programme and the physical activity behaviour of the patients. - To gain more insight in the underlying mechanisms of the RSE programme. - To monitor the process of implementation of the RSE programme within Dutch rehabilitation care. - To perform an economic evaluation of the RSE programme.
description: GENERAL DESIGN

Cohort type
Clinical cohort

Design
Longitudinal

Design description
A questionnaire-based nationwide longitudinal prospective cohort study is conducted. Participants are recruited from 18 rehabilitation centres and hospitals in The Netherlands. 2000 participants with a physical disability or chronic disease will be followed during and after their participation in a tailored counselling programme. Programme outcomes on physical activity behaviour and patient as well as programme characteristics that may be associated with differences in physical activity behaviour after programme completion are being assessed. Data collection takes place at baseline (T0) and 14 (T1), 33 (T2) and 52 weeks (T3) and 6-8 years (T4) after discharge from rehabilitation.

Design schematic
Design schematic
Collection type
Prospective

Start/End year
2013 - 2021

POPULATION

Countries
Netherlands (the)

Regions
Limburg, Zeeland, Zuid-Holland, Noord-Holland, Noord-Brabant, Flevoland, Utrecht, Gelderland, Overijssel, Drenthe, Friesland, Groningen

Number of participants
1719

Population age groups
Adult (18+ years)

Main medical condition
IX Diseases of the circulatory system
X Diseases of the respiratory system
IV Endocrine, nutritional and metabolic diseases
VI Diseases of the nervous system
XVIII Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified
XIX Injury, poisoning and certain other consequences of external causes
XXI Factors influencing health status and contact with health services
ORPHAcodes
DOI: 10.15468/dl.gjdb9s
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is one of (Hong Kong, China, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Limnonectes fujianensis Ye & Fei, 1994"
 ]
}

 The dataset includes 174 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022208-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2vbk4
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adapis Cuvier, 1822"
 ]
}

 The dataset includes 179 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022209-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dt6rp
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Amaranthus tricolor L."
 ]
}

 The dataset includes 407 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022210-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pc7h6v
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is one of (Hong Kong, China, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Occidozyga lingnanica Lyu & Wang, 2022"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022211-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m2fpah
title: Occurrence Download

description: A dataset containing 2183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate precision invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Country derived from coordinates, Continent derived from coordinates, Continent derived from country, Presumed swapped coordinate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, Depth min max swapped, Elevation min max swapped, Multimedia URI invalid, Multimedia date invalid, Occurrence status inferred from individual count, ccurrence status inferred from basis of record)",
 "TaxonKey is Cervus nippon Temminck, 1838",
 "Year 2014-2024"
 ]
}

 The dataset includes 2183 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022213-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.beug6c
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balaenoptera acutorostrata Lacépède, 1804",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 170 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022212-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h5em7y
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is one of (Hong Kong, China, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Occidozyga lima (Gravenhorst, 1829)"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022215-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acesx6
title: Occurrence Download

description: A dataset containing 2443 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SEFSC Dolphin Photo ID"
 ]
}

 The dataset includes 2443 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022214-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.26246546
title: Dealing with the attitudes, beliefs and strategies employed by professional and pre-service educators in the application of mobile apps in English language classroom

description: These datasets consist of primary and secondary datasets compiled from semi-structured interviews. The datasets are for a masters dissertation focusing on how mobile apps can be utilised in English Language education to enhance multiliteracies in the classroom. The primary datasets are transcripts derived from semi-structured interviews with high school English language educators. The transcripts entail educators' views and strategies when utilising mobile apps in the English language classroom. The secondary datasets consist of transcripts derived from a previous study, where pre-service educators were interviewed about their use and views of mobile apps in the classroom.
DOI: 10.15468/dl.uh67ts
title: Occurrence Download

description: A dataset containing 452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is one of (Hong Kong, China, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quasipaa exilispinosa (Liu & Hu, 1975)"
 ]
}

 The dataset includes 452 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022216-240626123714530/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.26270665
title: HPL Kidney 10x

description: HPL model weights for Kidney trained on UPenn 10x magnification
DOI: 10.15468/dl.smecbd
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eopsetta grigorjewi (Herzenstein, 1890)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 342 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022217-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17031/66912d6900e90
title: CPR Data request - Susan Hartman - NOC - 12/07/2024

description: All CPR samples (851)
From January 2000 to December 2021. 
From 45.97 to 50.041 North, and -19.1 to -11.971 East (area around PAP-SO).
All taxa (category 1 and 2) for large zooplankton, small zooplankton and phytoplankton.
DOI: 10.15468/dl.zzg7uv
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is one of (Hong Kong, China, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quasipaa spinosa (David, 1875)"
 ]
}

 The dataset includes 155 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022218-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12723608
title: Svalbox-DOM_2021-0057

description: Model description: Digital outcrop model of eastern face of Hornsundtind, inner Hornsund, Sørkapp Land, Svalbard archipelago.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.12723609
title: Svalbox-DOM_2021-0057

description: Model description: Digital outcrop model of eastern face of Hornsundtind, inner Hornsund, Sørkapp Land, Svalbard archipelago.Data availability:All uploaded archives are to be extracted to the same directory for a functional working environment, i.e., at the very least consisting of a project folder with the data and metashape subdirectories. The included processing report specifies the processing parameters that were used as input for the processing software (Agisoft Metashape, v2.1.0.17532).Exported model data use CRS epsg:32633.Show and visualise on Svalbox.no:Through Svalbox we aim to take geoscientific research and education to the next level – with the simple motto of placing all key information and data sets in their correct spatial position. We bring modern technology, in particular cost-effective digital outcrops, to complement more than 200 years of geoscientific research on Svalbard. Finally, Svalbox provides a sustainable platform for sharing results, workflows and teaching material with the wider geoscientific community.For more information, contact the Svalbox team at svalbox[at]gmail.com.This data set forms part of the Svalbox Digital Model Database.Please cite the database alongside this resource:Betlem, Peter and Rodes, Nil and Birchall, Thomas and Dahlin, Anders and Smyrak-Sikora, Aleksandra and Senger, Kim. The Svalbox Digital Model Database: A Geoscientific Window into the High Arctic. Geosphere (2023) 19 (6): 1640-1666. https://doi.org/10.1130/GES02606.1
DOI: 10.5281/zenodo.12732510
title: genomecomb reference data for Homo sapiens (hg19) version 0.98.7 cad annotation data
DOI: 10.6084/m9.figshare.25533367.v7
title: coastalNet, global estimates of coastal oceanographic connectivity

description: The coastalNet R package offers a suite of tools for the analysis of oceanographic connectivity and its implications for marine biodiversity. Developed to address the complex dynamics of how ocean currents influence the distribution, evolution, and conservation of marine species, coastalNet leverages high-resolution ocean current data, biophysical modeling, and graph theory to offer a comprehensive toolkit for marine ecology research.The integration of biophysical modeling with graph theory stands at the core of coastalNet's approach. By simulating the dispersal routes of marine species and applying graph theory, coastalNet identifies critical connectivity hubs and pathways, offering realistic estimates of population connectivity. This methodological innovation allows for a nuanced understanding of marine biodiversity dynamics, challenging simplistic predictive models and unveiling the complex relationships between ocean currents and genetic structuring across marine species distributions.
DOI: 10.6084/m9.figshare.22701365
title: Robust and efficient subsampling algorithms for massive data logistic regression

description: Datasets that are big with regard to their volume, variety and velocity are becoming increasingly common. However, limitations in computer processing can often restrict analysis performed on them. Nonuniform subsampling methods are effective in reducing computational loads for massive data. However, the variance of the estimator of nonuniform subsampling methods becomes large when the subsampling probabilities are highly heterogenous. To this end, we develop two new algorithms to improve the estimation method for massive data logistic regression based on a chosen hard threshold value and combining subsamples, respectively. The basic idea of the hard threshold method is to carefully select a threshold value and then replace subsampling probabilities lower than the threshold value with the chosen value itself. The main idea behind the combining subsamples method is to better exploit information in the data without hitting the computation bottleneck by generating many subsamples and then combining estimates constructed from the subsamples. The combining subsamples method obtains the standard error of the parameter estimator without estimating the sandwich matrix, which provides convenience for statistical inference in massive data, and can significantly improve the estimation efficiency. Asymptotic properties of the resultant estimators are established. Simulations and analysis of real data are conducted to assess and showcase the practical performance of the proposed methods.