cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26969393.v1
title: Gut and respiratory microbiota landscapes in IgA nephropathy: a cross-sectional study

description: IgA nephropathy (IgAN) is intimately linked to mucosal immune responses, with nasopharyngeal and intestinal lymphoid tissues being crucial for its abnormal mucosal immunity. The specific pathogenic bacteria in these sites associated with IgAN, however, remain elusive. Our study employs 16S rRNA sequencing and machine learning (ML) approaches to identify specific pathogenic bacteria in these locations and to investigate common pathogens that may exacerbate IgAN. In this cross-sectional analysis, we collected pharyngeal swabs and stool specimens from IgAN patients and healthy controls. We applied 16SrRNA sequencing to identify differential microbial populations. ML algorithms were then used to classify IgAN based on these microbial differences. Spearman correlation analysis was employed to link key bacteria with clinical parameters. We observed a reduced microbial diversity in IgAN patients compared to healthy controls. In the gut microbiota of IgAN patients, increases in <i>Bacteroides</i>, <i>Escherichia-Shigella,</i> and <i>Parabacteroides</i>, and decreases in <i>Parasutterella</i>, <i>Dialister</i>, <i>Faecalibacterium</i>, and <i>Subdoligranulum</i> were notable. In the respiratory microbiota, increases in <i>Neisseria</i>, <i>Streptococcus, Fusobacterium</i>, <i>Porphyromonas</i>, and <i>Ralstonia</i>, and decreases in <i>Prevotella</i>, <i>Leptotrichia</i>, and <i>Veillonella</i> were observed. Post-immunosuppressive therapy, <i>Oxalobacter</i> and <i>Butyricoccus</i> levels were significantly reduced in the gut, while <i>Neisseria</i> and <i>Actinobacillus</i> levels decreased in the respiratory tract. <i>Veillonella</i> and <i>Fusobacterium</i> appeared to influence IgAN through dual immune loci, with <i>Fusobacterium</i> abundance correlating with IgAN severity. This study revealing that changes in flora structure could provide important pathological insights for identifying therapeutic targets, and ML could facilitate noninvasive diagnostic methods for IgAN.
DOI: 10.5281/zenodo.8367810
title: Model output used in the manuscript "The evolution of a non-autonomous chaotic system under non-periodic forcing: a climate change example"

description: This *.rar file contains the model output from ensemble simulations for the Lorenz 84-Stommel 61 model (Van Veen et al, 2001; Daron and Stainforth, 2013). To run these simulations, we used the E-forth ensemble generator (de Melo Viríssimo and Stainforth, <em>in preparation</em>), which is a MATLAB toolboox that allows for large ensembles of low-dimensional dynamical systems to be run and studied in a systematic way (de Melo Viríssimo and Stainforth, 2023). These model outputs are presented and discussed in the Preprint "<em>The evolution of a non-autonomouys chaotic system under non-periodic forcing: a climate change example</em>". The manuscript describes the experiments performed, the parameter values used and the modifications done to the original L84-S61 model. For this matter, we also refer you to Daron and Stainforth (2013). All files uploaded were generated from simulations run by the authors. For specific information about each file uploaded, please refer to the README file. If you have any questions, please feel free to contact me. <strong>References:</strong> Van Veen et al. (2003): https://doi.org/10.1034/j.1600-0870.2001.00241.x Daron and Stainforth (2013): https://dx.doi.org/10.1088/1748-9326/8/3/034021 de Melo Viríssimo and Stainforth (2023): https://doi.org/10.5194/egusphere-egu23-14755 de Melo Viríssimo and Stainforth (2023): in preparation
DOI: 10.15468/dl.qh2k4r
title: Occurrence Download

description: A dataset containing 2200 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus arizonica Engelm."
 ]
}

 The dataset includes 2200 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007106-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vgzwv
title: Occurrence Download

description: A dataset containing 1144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Solanum lycopersicum L.",
 "Year 2010-2025"
 ]
}

 The dataset includes 1144 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015715-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpp8gt
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Lagopus leucura rainierensis W.Taylor, 1920"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015717-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15131/shef.data.30675155
title: Folk Organisers Group WhatsApp set up

description: A peer support WhatsApp group was created for folk organisers. The group was established by Access Folk staff but is intended to be self supporting by its own members/group admins with Access Folk staff input gradually withdrawing over the first 6 months of activity. Volunteers for group admin roles were drawn from attendees at a daylong workshop (see below for materials related to this) - five people were selected. Group members were added incrementally - initially drawn from attendees at WP26, other Small Project Grant holders and people who have been previously involved with Access Folk. Recruitment then moved to members’ wider networks and finally promotion to other folk organisers. The aim of the FON is to provide a space for organisers to share information/discuss issues related to access at their events.This submission includes the Etiquette Statement governing the group and two promotional recruitment images.All the available items arising from the project are available in the Access Folk Collection.
DOI: 10.15131/shef.data.30675155.v1
title: Folk Organisers Group WhatsApp set up

description: A peer support WhatsApp group was created for folk organisers. The group was established by Access Folk staff but is intended to be self supporting by its own members/group admins with Access Folk staff input gradually withdrawing over the first 6 months of activity. Volunteers for group admin roles were drawn from attendees at a daylong workshop (see below for materials related to this) - five people were selected. Group members were added incrementally - initially drawn from attendees at WP26, other Small Project Grant holders and people who have been previously involved with Access Folk. Recruitment then moved to members’ wider networks and finally promotion to other folk organisers. The aim of the FON is to provide a space for organisers to share information/discuss issues related to access at their events.This submission includes the Etiquette Statement governing the group and two promotional recruitment images.All the available items arising from the project are available in the Access Folk Collection.
DOI: 10.7807/immo:red:hk:suf:v3
title: RWI Real Estate Data- Hauskauf - suf
title: RWI Real Estate Data- Houses for Sale - suf

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Häuser zum Verkauf auf der Webseite ImmobilienScout24
description: all houses for sale at ImmobilienScout24
description: full sample
DOI: 10.15468/dl.928tds
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bambusa vulgaris"
 ]
}

 The dataset includes 46 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005850-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/4gylpq
title: Black-tailed prairie dog microsatellite genotypes

description: This dataset contains microsatellite genotypes for black-tailed prairie dogs in Saskatchewan, Montana and South Dakota. The northernmost population of the black-tailed prairie dog (Cynomys ludovicianus), located in Grasslands National Park, Saskatchewan, Canada, is potentially isolated from other parts of the prairie dog range and has experienced dramatic population fluctuations. To better understand the genetic health of this population, we genotyped 566 individuals alongside individuals from populations in Montana (N = 48) and South Dakota (N = 40), at 15 microsatellite loci.
DOI: 10.7805/ebdc-ief-2025q2
title: ifo Konjunkturprognosedaten 2025 Q2 (Sommer)

description: The ifo Institute publishes an economic forecast four times a year. The focus is on forecasting overall economic development in Germany for a period of up to two years. Due to the close interdependence of the German economy with the global economy, and in particular with the European economy, developments in the European Union and other important countries are also forecast. The forecast is based on a thorough analysis of the economic situation.
DOI: 10.15468/dl.ysf787
title: Occurrence Download

description: A dataset containing 121990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Meise Botanic Garden Herbarium (BR)",
 "Country is one of (Argentina, Bolivia (Plurinational State of), Brazil, Colombia, French Guiana, Guyana, Paraguay, Peru, Suriname, Uruguay, Venezuela (Bolivarian Republic of), Ecuador, Chile)"
 ]
}

 The dataset includes 121990 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005839-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dssrbq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-115.7893 35.15274, -115.788 35.15427, -115.7905 35.15522, -115.7918 35.15344, -115.7893 35.15274))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005851-251120083545085/datasets/export for details.
DOI: 10.7807/immo:red:hm:v7.2
title: RWI Real Estate Data - Hausmiete
title: RWI Real Estate Data - Houses for Rent

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Häuser zur Miete auf der Webseite ImmobilienScout24
description: all houses for rent at ImmobilienScout24
description: full sample
DOI: 10.23719/1532436
title: Next Generation National Nutrient Inventory for Nitrogen and Phosphorus (1987 to 2017)

description: The United States Environmental Protection Agency’s National Nutrient Inventory provides estimates of major agricultural, urban, atmospheric, and natural nutrient fluxes for the contiguous US at county and HUC12 scales from 1987 (from 1950 for agriculture) to 2017. We recommend using the attached HUC12 shapefiles which correspond with the HUC12 datasets provided.
DOI: 10.15468/dl.8c2htc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-115.7276 35.1436, -115.7273 35.14483, -115.7299 35.145, -115.7301 35.14354, -115.7276 35.1436))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005852-251120083545085/datasets/export for details.
DOI: 10.7807/immo:red:hm:suf:v7.2
title: RWI Real Estate Data - Hausmiete - suf
title: RWI Real Estate Data - Houses for Rent - suf

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Häuser zur Miete auf der Webseite ImmobilienScout24
description: all houses for rent at ImmobilienScout24
description: full sample
DOI: 10.7807/immo:red:wk:v3
title: RWI Real Estate Data- Wohnungskauf
title: RWI Real Estate Data- Apartments for Sale

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Wohnungen zum Verkauf auf der Webseite ImmobilienScout24
description: all apartments for sale at ImmobilienScout24
description: full sample
DOI: 10.15468/dl.qrv6aa
title: Occurrence Download

description: A dataset containing 133548488 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 133548488 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005830-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tapm65
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pseudosasa cantorii"
 ]
}

 The dataset includes 75 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005855-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rek7d3
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-120.8031 36.69682, -120.8008 36.69573, -120.799 36.69535, -120.7973 36.6957, -120.7958 36.69861, -120.7961 36.70034, -120.7967 36.70066, -120.798 36.70134, -120.7995 36.70212, -120.801 36.70284, -120.8056 36.69907, -120.8031 36.69682))"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005856-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/jmqurg
title: Steenschuur 13 Leiden
title: bouwhistorische opname

description: Bouwhistorische opname van een woonhuis aan het Steenschuur in Leiden. Rond 1500 wordt een voorhuis met vast achterhuis gebouwd, elk bestaande beide uit twee bouwlagen met een drievaks eikenhouten houtskelet met samengestelde balklagen. Het achterhuis bevat een kap van dekbalkspanten en vermoedelijk sporenparen met haanhouten. In het begin van de 17e eeuw wordt het voorhuis opgehoogd met een extra verdieping met viervaks samengestelde balklaag (zonder houtskelet) en een nieuwe kapconstructie. De moerbalken worden opgelegd in dragende zijgevels en voorzien van consoles in de vorm van een Leidse klos. De kapspanten bestaan uit een dekbalkspant met daarop een driehoekspant met spantbalk. Vermoedelijk wordt het houtskelet gemoderniseerd door de sleutelstukken bij te schaven tot een ojiefprofiel (in plaats van een peerkraalprofiel). Mogelijk wordt hierbij ook een deel van de muurstijlen en korbelen verwijderd. Met het ophogen van het voorhuis krijgt het pand ook van een nieuwe voorgevel. Een bakstenen trapgevel in Hollandse Renaissance stijl met natuursteen elementen als decoratie. De rest van het pand wordt ingrijpend gemoderniseerd. Het huis krijgt mogelijk een indeling die typisch is voor 17e-eeuwse huizen in Leiden. In het begin van de 18e eeuw (vermoedelijk 1734/35) wordt in het voorhuis een vestibule afgescheiden met een stucplafond in Lodewijk XIV-stijl en marmer op de wanden en vloer. De voorkamer ernaast krijgt een schouw en lambrisering. Begin 19e eeuw vindt wederom een modernisering plaats. De vensters in de voorgevel worden deels vervangen door Empire schuiframen en de entreepartij wordt vernieuwd. De interne wijzigingen worden uitgevoerd in Lodewijk XVI-/ Empire-stijl. In 1950 wordt het pand verbouwd. De achtergevel wordt opnieuw opgemetseld en in het interieur vinden wijzigingen plaats. Er worden onderdelen hergebruikt, maar er worden ook veel onderdelen in historiserende stijl toegepast. In de jaren negentig wordt het pand gemoderniseerd/gerestaureerd.
DOI: 10.15468/dl.yzum23
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Machine Observation",
 "TaxonKey is Aplysia"
 ]
}

 The dataset includes 195 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005858-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7807/immo:red:hk:v7
title: RWI Real Estate Data - Hauskauf
title: RWI Real Estate Data - Houses for Sale

description: ImmobilienScout24 ist die größte Immobilien-Internetplattform in Deutschland. Auf der Website werden sowohl Immobilien zur privaten als auch zur gewerblichen Nutzung angeboten. Die Daten umfassen jedoch nur Wohnimmobilien. Der Datensatz umfasst die meisten auf der Plattform erhobenen Merkmale wie z.B. Preis, Größe und Ausstattung der Wohneinheit, aber auch generierte Informationen wie die Dauer der Inseratverfügbarkeit.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: RWI-GEO-RED
description: RWI-GEO-RED
description: Computer-based observation
description: alle Häuser zum Verkauf auf der Webseite ImmobilienScout24
description: all houses for sale at ImmobilienScout24
description: full sample
DOI: 10.17026/ar/uvkhfd
title: Pieterskerkstraat 20 te Leiden
title: bouwhistorische verkenning

description: Bouwhistorische verkenning van een 17e-eeuws huis in Leiden. De hoofdopzet met een voorhuis, een binnenplaats met verbindingsgang erlangs en een achterhuis (tot 1990 twee achterhuizen) is onderdeel van het typisch zeventiende-eeuws Leidse huis. Het metselwerk van de voorgevel en de enkelvoudige balklagen dateren uit deze tijd. In de achttiende eeuw werd de gevelindeling van de voor- en achtergevel van het voorhuis gewijzigd. De voorgevel werd een lijstgevel en de voordeur verschoof naar de rechterkant. Achter de voordeur werd een gang van de voorkamer afgescheiden. Het tweede achterhuis werd in de negentiende eeuw verbreed naar achter én verhoogd met een verdieping. Het hoekje bij de aansluiting van de twee achterhuizen werd toegevoegd. Dit hoekje is nog raadselachtig. De kapconstructie van het voorhuis werd in de negentiende eeuw waarschijnlijk vernieuwd met eenvoudige schaarspanten en gordingen. In het begin van de twintigste eeuw werden de verbindingsgang en het eerste achterhuis met een bouwlaag verhoogd.
In 1977 vond een zeer ingrijpende verbouwing plaats. Nagenoeg alle ramen werden vervangen door historiserende ramen. In het voorhuis werden vrijwel alle kozijnen en de voordeur vervangen conform bestaand. De gevelindeling op de begane grond van de achtergevel werd gewijzigd. Er werd (naast de bestaande constructie) een nieuwe verstijvingsconstructie toegevoegd van drie stalen portalen met betonnen fundering. De begane grondvloer werd hierbij geheel vervangen door beton. De bestaande constructie werd waar nodig gesteld en hersteld. Bij de kapconstructie werd het meest vernieuwd en het dak werd geïsoleerd. De interne indeling werd zeer ingrijpend gewijzigd. Alleen de wand tussen de gang en voorkamer op de begane grond bleef behouden. Qua afwerkingen bleven alleen enkele architraven en vensterbanken behouden. De rest werd allemaal (historiserend) gewijzigd en vernieuwd.
In 1990 werd het tweede achterhuis geheel gesloopt. De scheidingswand tussen het eerste en tweede achterhuis werd hierdoor plotseling de achtergevel van het achterhuis. In deze gevel werden nieuwe ramen en een deur naar de tuin gemaakt.