cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ez7f8n
title: Occurrence Download

description: A dataset containing 355436 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fomitopsis pinicola (Sw.) P.Karst., Xiphinema americanum Cobb, 1913, Phymatotrichopsis omnivora (Duggar) Hennebert, Grovesinia moricola (I.Hino) Redhead, Botryosphaeria dothidea (Moug.) Ces. & De Not., Gloeodes pomigena (Schwein.) Colby, Belonolaimus longicaudatus Rau, 1958, Diaporthe orthoceras (Fr.) Nitschke, Trametes elegans (Spreng.) Fr., Pseudocercospora angraeci (Feuilleaub. & Roum.) U.Braun & Urtiaga, Ramularia brunnea Peck, Fusarium acaciae-mearnsii O'Donnell, T.Aoki, Kistler & Geiser, Phyllosticta allii Baudyš, Septoria aciculosa Ellis & Everh., Kretzschmaria deusta (Hoffm.) P.M.D.Martin, Meripilus giganteus (Pers.) P.Karst., Xeromphalina fraxinophila A.H.Sm., Nemania serpens (Pers.) Gray, Phytophthora cinnamomi Rands, Ceratocystis fimbriata Ellis & Halst., Fabisporus sanguineus (L.) Zmitr., Phoradendron racemosum (Aubl.) Krug & Urb., Pappia fissilis (Berk. & M.A.Curtis) Zmitr., Thyrostroma compactum (Sacc.) Höhn., Ganoderma lucidum (Curtis) P.Karst., Rhizomorpha subcorticalis P.Micheli ex Pers., 1801, Didymella arachidicola (Khokhr.) Tomilin, Mycosphaerella punctiformis (Pers.) Starbäck, Oidium arachidis Chorin, Microsphaera variabilis Y.N.Yu, Phellinus gilvus (Schwein.) Pat., Phytophthora palmivora (E.J.Butler) E.J.Butler, Phyllactinia guttata (Wallr.) Lév., Rhizoctonia solani J.G.Kühn, Pythium acanthicum Drechsler, Botryosphaeria stevensii Shoemaker, Ganoderma applanatum (Pers.) Pat., Erysiphe penicillata (Wallr.) Link, Meloidogyne incognita (Kofoid & White, 1919) Chitwood, 1949, Corythucha ciliata (Say, 1832), Phomopsis radula (Berk. & Broome) Grove, Dichomera mutabilis (Berk. & Broome) Sacc., Hapalocystis berkeleyi Auersw. ex Fuckel, Bloxamia leucophthalma (Lév.) Höhn., Inonotus hispidus (Bull.) P.Karst., Pholiota squarrosa (Vahl) P.Kumm., Perenniporia fraxinea (Bull.) Ryvarden, Vuilleminia comedens (Nees) Maire, Heterobasidion annosum (Fr.) Bref., Gibberella zeae (Schwein.) Petch)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 355436 records from 1029 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032823-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6y45b
title: Occurrence Download

description: A dataset containing 1549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010",
 "HasCoordinate is true",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "VerbatimScientificName is Sphagnum compactum",
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 1549 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032858-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2908/sdg_02_10
title: Obesity rate by body mass index (BMI)
title: Taux d'obésité par l'Indice de masse corporelle (IMC)
title: Fettleibigkeitsrate nach body mass index (BMI)

description: L'indicateur mesure la proportion de personnes obèses en fonction de leur indice de masse corporelle (IMC) qui est défini comme le poids en kilogrammes, divisé par le carré de la taille en mètres. Les personnes âgées de 18 ans ou plus sont considérés comme obèses avec un IMC égal ou supérieur à 30. La catégorie pré-obèse désigne les personnes ayant un IMC compris entre 25 et moins de 30. La catégorie de surcharge pondérale (IMC égal ou supérieur à 25) combine les deux catégories pré-obèses et obèses. Les données présentées dans cette section proviennent de l’enquête européenne par entretien sur la santé (EHIS) et des statistiques de l’UE sur le revenu et les conditions de vie (EU-SILC).
description: This indicator is derived from the body mass index (BMI), which is defined as the weight in kilograms divided by the square of the height in metres. People aged 18 years or over are considered obese if their BMI is equal to or greater than 30. The category ‘pre-obese’ refers to people with a BMI between 25 and less than 30. The category ‘overweight’ (BMI equal or greater than 25) combines the two categories pre-obese and obese. The data presented in this section stem from the European Health Interview Survey (EHIS) and the EU Statistics on Income and Living Conditions (EU-SILC).
description: Der Indikator misst den Anteil fettleibiger Menschen auf der Grundlage ihres Body Mass Index (BMI). Der BMI ist definiert als das Gewicht in Kilogramm dividiert durch das Quadrat der Körpergröße in Metern. Personen ab 18 Jahren gelten als fettleibig bei einem BMI von mindestens 30. Die Kategorie Vorstufe zu Fettleibigkeit bezieht sich auf Personen mit einem BMI zwischen 25 und 30. Das Übergewicht (BMI größer oder gleich 25) verbindet die beiden Kategorien Vorstufe zu Fettleibigkeit und Fettleibigkeit. Die in diesem Abschnitt dargestellten Daten stammen aus der Europäischen Gesundheitsumfrage (EHIS) und der EU-Statistik über Einkommen und Lebensbedingungen (EU-SILC).
DOI: 10.2908/sdg_02_40
title: Area under organic farming
title: Surface agricole couverte par l'agriculture biologique
title: Für ökologische Landwirtschaft genutzte Fläche

description: This indicator is defined as the share of total utilised agricultural area (UAA) occupied by organic farming (existing organically farmed areas and areas undergoing conversion). Organic farming is a production method that puts the highest emphasis on environmental and wildlife protection and, with regard to livestock production, on animal welfare considerations. It avoids or largely reduces the use of synthetic chemical inputs, such as fertilisers, pesticides, additives and medical products.
description: Cet indicateur est défini comme la part de la superficie agricole utilisée totale (SAU) occupée par l’agriculture biologique (zones d’élevage biologique existantes et zones en conversion). L’agriculture biologique est une méthode de production qui met l’accent le plus sur la protection de l’environnement et de la faune sauvage et, en ce qui concerne la production animale, sur des considérations liées au bien-être animal. Elle évite ou réduit largement l’utilisation d’intrants chimiques de synthèse tels que les engrais, les pesticides, les additifs et les produits médicaux.
description: Dieser Indikator ist definiert als der Anteil der landwirtschaftlich genutzten Fläche (UAA) an der gesamten landwirtschaftlich genutzten Fläche (bestehend aus ökologisch bewirtschafteten Flächen und Flächen in Umstellung). Der ökologische Landbau ist ein Produktionsverfahren, bei dem der Umweltschutz und der Schutz wildlebender Tiere und Vieh, sowie – im Hinblick auf die tierische Erzeugung – Tierschutzaspekte, am stärksten in den Vordergrund gerückt werden. Dadurch wird der Einsatz synthetischer chemischer Betriebsmittel, sowie Düngemittel, Pestizide, Zusatzstoffe und medizinische Produkte, vermieden oder weitgehend reduziert.
DOI: 10.2908/sdg_02_60
title: Émissions d'ammoniac provenant de l'agriculture
title: Ammoniakemissionen aus der Landwirtschaft
title: Ammonia emissions from agriculture

description: Dieser Indikator misst die Ammoniakemissionen (NH3) aus der landwirtschaftlichen Erzeugung. Diese Emissionen ergeben sich aus der Dungbewirtschaftung, der Ausbringung anorganischer Stickstoffdünger und tierischer Dung, die auf den Boden ausgebracht werden, sowie durch den von Weidetieren abgeschiedenen Urin und Dung. Die Daten für diesen Indikator stammen aus dem EU-Verzeichnis über Luftverschmutzung, das von der Europäischen Umweltagentur (EUA) im Rahmen des Übereinkommens über weiträumige grenzüberschreitende Luftverunreinigung (LRTAP) erstellt wurde, und stehen voll und ganz im Einklang mit den von den EU-Mitgliedstaaten erstellten nationalen Luftverschmutzungsinventaren. Die Daten über die landwirtschaftlich genutzte Fläche (LF) stammen aus der jährlichen Statistik der pflanzlichen Erzeugung von Eurostat. Die Definition dieses Indikators basiert auf dem Indikator der Gemeinsamen Agrarpolitik (GAP) C45 Emissionen aus der Landwirtschaft.
description: Cet indicateur mesure les émissions d’ammoniac (NH3) résultant de la production agricole. Ces émissions résultent de la gestion des effluents d’élevage, de l’application d’engrais azotés inorganiques et d’effluents d’élevage épandus sur le sol, ainsi que de l’urine et du fumier déposés par les animaux de pâturage. Les données pour cet indicateur proviennent de l’inventaire de l’UE sur la pollution atmosphérique établi par l’Agence européenne pour l’environnement (AEE) dans le cadre de la convention sur la pollution atmosphérique transfrontière à longue distance (PATLD) et sont parfaitement cohérentes avec les inventaires nationaux de la pollution atmosphérique établis par les États membres de l’UE. Les données relatives à la superficie agricole utilisée (SAU) proviennent des statistiques annuelles d’Eurostat sur les cultures. La définition de cet indicateur est fondée sur l’indicateur C45 de la politique agricole commune (PAC) relatif aux émissions provenant de l’agriculture.
description: This indicator measures ammonia (NH3) emissions as a result of agricultural production. These emissions result from manure management, applications of inorganic nitrogen fertilisers and animal manure applied to soil, as well as urine and dung deposited by grazing animals. Data for this indicator come from the EU inventory on air pollution compiled by the European Environment Agency (EEA) under the Convention on Long-range Transboundary Air Pollution (LRTAP) and are fully consistent with national air pollution inventories compiled by EU Member States. Data on the utilised agricultural area (UAA) stem from Eurostat’s annual crop statistics. The definition of this indicator is based on the CAP indicator C45 Emissions from agriculture.
DOI: 10.15468/dl.uhg983
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-68.56016 -6.27208, -68.56326 -6.269752, -68.57702999999999 -6.268136, -68.59189000000001 -6.265363, -68.59273 -6.257519, -68.56845 -6.224907, -68.57053000000001 -6.21925, -68.58181999999999 -6.213258, -68.59563 -6.212758, -68.61441000000001 -6.222123, -68.6254 -6.238476, -68.63303000000001 -6.257165, -68.63285999999999 -6.284826, -68.56016 -6.27208))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032859-250426092105405/datasets/export for details.
DOI: 10.15468/dl.7vwgb8
title: Occurrence Download

description: A dataset containing 18063 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Misgurnus anguillicaudatus (Cantor, 1842)"
 ]
}

 The dataset includes 18063 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032860-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15399768
title: Microfluidic Platform for Automatic Quantification of Malaria Invasion Under Physiological Flow Conditions

description: Understanding the impact that the forces generated by blood flow have on biological processes that take place in the circulatory system, such as malaria parasite replication, is currently limited by the lack of experimental systems to integrate them. Malaria kills over 600,000 people annually, with the blood stage responsible for all the clinical symptoms. Recent quantification of growth, of \textit{Plasmodium falciparum}, the deadliest malaria strain of malaria, under conditions of fluid motion generated by orbital shaking has shown that the importance of certain ligands used during invasions differs under conditions of high wall shear stress, but there is currently no method avalable to systematicly test how vaying flow conditions impacts growth and invasion. We have developed a microfluidic device with four channels, with dimensions similar to a post-capillary venule, each with different flow velocities. Highly synchronised drug-treated parasites are injected to ensure a high rate of egress and invasion in a short window. Invasion in these channels is quantified using software we have developed, which fully automates cell type identification and trajectory tracking. Testing was done with two wild-type lines, 3D7 and NF54, and two lines missing proteins involved in attachment early in invasion. Over the flow velocities, significant differences in invasion rates were only seen in the line missing attachment protein Erythrocyte Binding Antigen 175 (PfEBA175). These findings unveil the critical influence of flow conditions on parasite invasion and demonstrate a method that has application to address a range of questions on the effect of physical flow forces on malaria invasion as well as in studying broader biological processes affected by fluid motion, including cell adhesion, migration, and mechanotransduction.

This repository contains two min folders.



analysis contains all the code used to analyse the datasets. The most important files are Cell.py and MalariaAnalysis.py which contains the functions and classes used for segmenting the cells, and generating trajectories, and classifying cells.  

data contains output from each successful experiment, including a dataframe with information about cell populations over time and a set of plots showing some basic statistics for that given experiment repeat. The plots contain data averaged over 1s, 30s and 60s (indicated in parentheses).
DOI: 10.5281/zenodo.15399769
title: Microfluidic Platform for Automatic Quantification of Malaria Invasion Under Physiological Flow Conditions

description: Understanding the impact that the forces generated by blood flow have on biological processes that take place in the circulatory system, such as malaria parasite replication, is currently limited by the lack of experimental systems to integrate them. Malaria kills over 600,000 people annually, with the blood stage responsible for all the clinical symptoms. Recent quantification of growth, of \textit{Plasmodium falciparum}, the deadliest malaria strain of malaria, under conditions of fluid motion generated by orbital shaking has shown that the importance of certain ligands used during invasions differs under conditions of high wall shear stress, but there is currently no method avalable to systematicly test how vaying flow conditions impacts growth and invasion. We have developed a microfluidic device with four channels, with dimensions similar to a post-capillary venule, each with different flow velocities. Highly synchronised drug-treated parasites are injected to ensure a high rate of egress and invasion in a short window. Invasion in these channels is quantified using software we have developed, which fully automates cell type identification and trajectory tracking. Testing was done with two wild-type lines, 3D7 and NF54, and two lines missing proteins involved in attachment early in invasion. Over the flow velocities, significant differences in invasion rates were only seen in the line missing attachment protein Erythrocyte Binding Antigen 175 (PfEBA175). These findings unveil the critical influence of flow conditions on parasite invasion and demonstrate a method that has application to address a range of questions on the effect of physical flow forces on malaria invasion as well as in studying broader biological processes affected by fluid motion, including cell adhesion, migration, and mechanotransduction.

This repository contains two min folders.



analysis contains all the code used to analyse the datasets. The most important files are Cell.py and MalariaAnalysis.py which contains the functions and classes used for segmenting the cells, and generating trajectories, and classifying cells.  

data contains output from each successful experiment, including a dataframe with information about cell populations over time and a set of plots showing some basic statistics for that given experiment repeat. The plots contain data averaged over 1s, 30s and 60s (indicated in parentheses).
DOI: 10.5281/zenodo.15423134
title: Microfluidic Platform for Automatic Quantification of Malaria Invasion Under Physiological Flow Conditions

description: Understanding the impact that the forces generated by blood flow have on biological processes that take place in the circulatory system, such as malaria parasite replication, is currently limited by the lack of experimental systems to integrate them. Malaria kills over 600,000 people annually, with the blood stage responsible for all the clinical symptoms. Recent quantification of growth, of \textit{Plasmodium falciparum}, the deadliest malaria strain of malaria, under conditions of fluid motion generated by orbital shaking has shown that the importance of certain ligands used during invasions differs under conditions of high wall shear stress, but there is currently no method avalable to systematicly test how vaying flow conditions impacts growth and invasion. We have developed a microfluidic device with four channels, with dimensions similar to a post-capillary venule, each with different flow velocities. Highly synchronised drug-treated parasites are injected to ensure a high rate of egress and invasion in a short window. Invasion in these channels is quantified using software we have developed, which fully automates cell type identification and trajectory tracking. Testing was done with two wild-type lines, 3D7 and NF54, and two lines missing proteins involved in attachment early in invasion. Over the flow velocities, significant differences in invasion rates were only seen in the line missing attachment protein Erythrocyte Binding Antigen 175 (PfEBA175). These findings unveil the critical influence of flow conditions on parasite invasion and demonstrate a method that has application to address a range of questions on the effect of physical flow forces on malaria invasion as well as in studying broader biological processes affected by fluid motion, including cell adhesion, migration, and mechanotransduction.

This repository contains two min folders.



analysis contains all the code used to analyse the datasets. The most important files are Cell.py and MalariaAnalysis.py which contains the functions and classes used for segmenting the cells, and generating trajectories, and classifying cells.  

data contains output from each successful experiment, including a dataframe with information about cell populations over time and a set of plots showing some basic statistics for that given experiment repeat. The plots contain data averaged over 1s, 30s and 60s (indicated in parentheses).
DOI: 10.15468/dl.n2hb3u
title: Occurrence Download

description: A dataset containing 62537 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ARE.1.1_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2021-2021"
 ]
}

 The dataset includes 62537 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032817-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unupb8
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ochna integerrima (Lour.) Merr.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 231 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032863-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z3pnkf
title: Occurrence Download

description: A dataset containing 5694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Azolla filiculoides Lam.",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 5694 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032864-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tycfjt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-67.14019 -11.57557, -67.15433 -11.51825, -67.16472 -11.53624, -67.17151 -11.54422, -67.17721 -11.556, -67.18145 -11.57053, -67.18107999999999 -11.5726, -67.17385 -11.58223, -67.16412 -11.58874, -67.16052000000001 -11.58907, -67.14868 -11.58451, -67.14583 -11.58105, -67.14019 -11.57557))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032866-250426092105405/datasets/export for details.
DOI: 10.15468/dl.mgywxs
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.19468 41.32621,0.44046 41.32621,0.44046 43.01439,-1.19468 43.01439,-1.19468 41.32621))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aquila chrysaetos (Linnaeus, 1758)"
 ]
}

 The dataset's 3 records were derived from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032841-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7486/dri.jm21jq76k-1
title: Person Data
DOI: 10.15468/dl.unap88
title: Occurrence Download

description: A dataset containing 8789 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 Epimedium L."
 ]
}

 The dataset includes 8789 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032867-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc4w4qv
title: CCDC 145257: Experimental Crystal Structure Determination

description: Related Article: N.Godbert, A.S.Batsanov, M.R.Bryce, J.A.K.Howard|2001|J.Org.Chem.|66|713|doi:10.1021/jo001014q
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.