cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bweb74
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anacolosa glochidiiformis Kaneh. & Hatus."
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009520-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spbyap
title: Occurrence Download

description: A dataset containing 8084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Pecari Reichenbach, 1835"
 ]
}

 The dataset includes 8084 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016416-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghhatf
title: Occurrence Download

description: A dataset listing the 2815530 species recorded in GBIF matching the query:
{ }

 The dataset's 2815530 records were derived from 25081 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003994-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5878/mpyy-9j29
title: Data for the paper: Modelling metal uptake by selected vegetables from urban soils in Europe: Uncovering key soil factors using Partial Least Squares Regression (PLS-R)
title: Data för artikeln: Modelling metal uptake by selected vegetables from urban soils in Europe: Uncovering key soil factors using Partial Least Squares Regression (PLS-R)

description: The dataset comprises geochemical analysis data from 22 soils collected from allotment gardens in urban environments across six cities in Europe, along with chemical analyses of three vegetables cultivated in a greenhouse environment using these soils. The soils exhibit varying degrees of contamination by typical urban metal contaminants; Ba, Cd, Cu, Ni, Pb, and Zn.
The record consists of two files, a CSV file containing analysis data, and a PDF document with explanations and descriptions of analysis methods for the parameters in the CSV file.
description: Datasetet består av geokemiska analysdata från 22 jordar insamlade på odlingslotter i urban miljö från sex städer i Europa, samt kemiska analyser av tre grönsaker som odlats i växthus i dessa jordar. Jordarna har olika grad av kontaminering av typiska urbana metallföroreningar; Ba, Cd, Cu, Ni, Pb och Zn. 
Posten består av två filer, en csv-fil med analysdata och ett PDF-dokument med förklaringar och analysmetodsbeskrivningar till parametarna i csv-filen.
DOI: 10.57804/xqsh-m026
title: Zooplankton fatty acids across large environmental gradients in Sweden : Raw data for Chaguaceda et al (2024) Limnology & Oceanography
title: Zooplankton fatty acids across large environmental gradients in Sweden : Raw data for Chaguaceda et al (2024) Limnology & Oceanography

description: Zooplankton fatty-fatty acid data from Swedish lakes along a temperature (summer temperatures 6.8–15.9°C), water color (&lt; 0.005–0.51 Abs420), and eutrophication ( mean TP &lt; 1.0–42.3 μg P L−1) gradient encompassing 2002–2010 and 2020–2021 periods (n=100, N=32 lakes). The dataset is divided into two sheets: one with the fatty acid data ("Zooplankton fatty acid data"), and another with the mean lake data ("Lake data"). A third sheet ("metadata") explains the metadata and the abbreviations used in the other two sheets.

The dataset was originally published in DiVA and moved to SND in 2024.
description: Datasetet är uppdelat i två ark: ett med fettsyradata ("Zooplankton fettsyradata") och ett annat med medelsjödata ("Sjödata"). Ett tredje blad ("metadata") förklarar de förkortningar som används i de andra två arken. 

Se engelsk beskrivnig för mer information. 

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.57804/3eet-2290
title: Project data: Gonyostomum semen and pCO₂
title: Project data: Gonyostomum semen and pCO₂

description: This includes all data from the project "Gonyostomum semen and lake pCO2 and carbon fluxes" that has been used and referred to in the manuscript "Nuisance alga reduces lake pCO₂ and carbon flux to the atmosphere in boreal lakes". Data used in statistical analysis is found in the folder "R data" (including lake environmental data, Gonyostomum semen data and clean sensor data from which pCO₂ values were calculated). "Raw data" includes compiled data that was not used in statistical analyses, but collected during sampling and laboratory work by Karla Münzner and Thomas Rohrlack (additional lake environmental data, lake alkalinity used for pCO₂ calculations and qPCR copy number data and G. semen cell abundance calculations). The folder "Protocols qPCR" holds all lab protocols used for dna analyses (DNA extraction, DNA quantification and qPCR). There are also field notes in pdf-format for field work undertaken in Sweden ("Field notes").

The dataset was originally published in DiVA and moved to SND in 2024.
description: Data som användes i statistiska analyser finns i mappen "R data". "Raw data" innehåller sammanställd data som inte användes i statistiska analyser, men som samlades in under provtagning och laboratoriearbete av Karla Münzner och Thomas Rohrlack. Mappen "Protocols qPCR" innehåller alla laboratorieprotokoll som användes för dna-analyser. Det finns också fältanteckningar i pdf-format för fältarbete som utförts i Sverige ("Field notes").

Se engelsk beskrivning för mer information.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.15468/dl.xxxcms
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allium carinatum",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 388 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005022-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57804/yer0-6940
title: Raw-Data: A Reusable Characterization Of The Memory System Behavior Of SPEC 2017 And SPEC 2006
title: Raw-Data: A Reusable Characterization Of The Memory System Behavior Of SPEC 2017 And SPEC 2006

description: This dataset accompanies the ISPASS 2020 extended abstract: Architecturally-independent and time-based characterization of SPEC CPU 2017 and TACO paper: A Reusable Characterization of the Memory System Behavior of SPEC2017 and SPEC2006.

In this data you can find 2 folders: SPEC06 and SPEC17. These 2 folders contain data for benchmarks from SPEC 2006 and SPEC 2017 respectively. 

Inside the folder of SPEC06/SPEC17 you find number of folders each with the name of a specific benchmark. 

Inside each benchmark folder you find 2 folders with the name of Prefetch and No-Prefetch. The prefetch folder contains data from experiments with prefetching and no-prefetch contains data without prefetching. 

Inside the Prefetch (No-Prefetch) folder you can find 16 files each with a specific number: 32k means this is data.

The dataset was originally published in DiVA and moved to SND in 2024.
description: This dataset accompanies the ISPASS 2020 extended abstract: Architecturally-independent and time-based characterization of SPEC CPU 2017 and TACO paper: A Reusable Characterization of the Memory System Behavior of SPEC2017 and SPEC2006.

In this data you can find 2 folders: SPEC06 and SPEC17. These 2 folders contain data for benchmarks from SPEC 2006 and SPEC 2017 respectively. 

Inside the folder of SPEC06/SPEC17 you find number of folders each with the name of a specific benchmark. 

Inside each benchmark folder you find 2 folders with the name of Prefetch and No-Prefetch. The prefetch folder contains data from experiments with prefetching and no-prefetch contains data without prefetching. 

Inside the Prefetch (No-Prefetch) folder you can find 16 files each with a specific number: 32k means this is data.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.57804/1az8-bg71
title: Statistical dataset on active Facebook users living outside of their country of origin in the European Union
title: Statistical dataset on active Facebook users living outside of their country of origin in the European Union

description: This statistical dataset contains estimates on the number of active online Facebook users living outside of their country of origin within the European Union. The dataset includes information on Facebook users' age, gender, country of residence, and country of previous residence. The data is divided in the number of Monthly Active Users and Daily Active Users. The data was collected through standard CSV format via an advertising API platform by using an R Studio code, and the data collection was conducted twice a month from January to November 2021.

The dataset was originally published in DiVA and moved to SND in 2024.
description: Detta statistiska dataset innehåller uppskattningar av antalet aktiva Facebook-användare online som bor utanför sitt ursprungsland inom Europeiska unionen.

Se engelsk beskrivning för mer information.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.5878/406j-b839
title: Data for: Stress-corrosion cracking sensitization by hydrogen upon oxidation of nickel-base alloys by water – An experiment-guided first-principles study
title: Data för: Stress-corrosion cracking sensitization by hydrogen upon oxidation of nickel-base alloys by water – An experiment-guided first-principles study

description: Data material contains (i) the final output of Density Functional Theory calculations stored in Atomic Simulation Environment (ASE) databases and (ii) Python Jupyter notebooks that were used to calculate reactions enthalpy of formation, structural parameters, and percentage errors based on outputs stored in these databases.
description: Datamaterialet innehåller (i) slutresultatet av beräkningar av densitetsfunktionsteori lagrade i Atomic Simulation Environment (ASE)-databaser och (ii) Python Jupyter notebooks som användes för att beräkna reaktionsentalpi för bildning, strukturella parametrar och procentuella fel baserade på lagrade utdata i dessa databaser.
DOI: 10.57804/vn18-6x14
title: Compilation of 14C-dated trapping pits in 2020
title: Sammanställning av 14C-daterade fångstgropar 2020

description: Compilation of 14C-dated trap pits in archaeological investigations.

The dataset was originally published in DiVA and moved to SND in 2024.
description: Sammanställning av 14C-daterade fångstgropar vid arkeologiska undersökningar.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.5878/sj6x-6v34
title: A bibliography of quaternary entomology: (qbib)
title: A bibliography of quaternary entomology: (qbib)

description: Originally published in 1991 (Buckland & Coope, 1991), this is the most comprehensive bibliography of articles and books on Quaternary fossil insects available on the planet. It covers over 2100 works on their use in palaeoclimatology, palaeoecology, forensic archaeology, and environmental archaeology. Updates are periodically posted here, at www.bugscep.com, and on other open resources.

The dataset was originally published in DiVA and moved to SND in 2024.
description: Denna bibliografi publicerades ursprungligen 1991 (Buckland & Coope, 1991) och är den mest omfattande bibliografin över artiklar och böcker om fossila insekter från kvartärtiden som finns tillgänglig i världen. Den omfattar över 2100 verk om deras användning inom paleoklimatologi, paleoekologi, rättsarkeologi och miljöarkeologi. Uppdateringar läggs regelbundet ut här, på www.bugscep.com och på andra öppna resurser.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.5878/8kd2-6091
title: Air pollution and noise GeoTIFF files for SCAPIS environment
title: GeoTIFF-filer för luftföroreningar och buller inom SCAPIS-miljö

description: In this dataset we have published maps in GeoTIFF format with annual average levels of total concentrations of modeled air pollutants (PM2.5, PM10, NOx and NO2) or the years 2000 to 2018. For noise (expressed as Lden) as mesh files (file type .2dm) for the years 2000, 2011, and 2018. All files cover areas around the SCAPIS sites Malmö, Gothenburg, Linköping, Stockholm-Uppsala, and Umeå. The resolution for the air pollution maps is 50 m and for noise the resolution varies from 25 to 100 meters depending on the distance to the nearest noise source.
description: I detta dataset har vi publicerat kartor i GeoTIFF-format med årsmedelvärden av totalhalter av modellerade luftföroreningar (PM2.5, PM10, NOx och NO2) för åren 2000 till 2018. För buller (uttryckt som Lden) som mesh-filer (filtyp .2dm) för åren 2000, 2011 och 2018. Alla filer täcker områden kring SCAPIS-orterna Malmö, Göteborg, Linköping, Stockholm-Uppsala, samt Umeå. Upplösningen för luftföroreningskartorna är är 50 m och för buller varierar upplösningen från 25 till 100 meter beroende på avstånd till närmaste bullerkälla.
DOI: 10.57804/vgpe-0444
title: Supplementary data for Carbon dioxide dynamics in an agricultural headwater stream driven by hydrology and primary production. (Wallin et al. DOI: 10.5194/bg-2019-486)
title: Supplementary data for Carbon dioxide dynamics in an agricultural headwater stream driven by hydrology and primary production. (Wallin et al. DOI: 10.5194/bg-2019-486)

description: Hourly measured CO2 concentration data from a 11.3 km² temperate agricultural stream, collected over more than one year (a total of 339 days, excluding periods with ice and snow cover).

The dataset was originally published in DiVA and moved to SND in 2024.
description: Hourly measured CO2 concentration data from a 11.3 km² temperate agricultural stream, collected over more than one year (a total of 339 days, excluding periods with ice and snow cover).

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.5878/aaxe-kg23
title: Monitoring the gelation time and curing process of a reinforced polyester lining - original data
title: Monitoring the gelation time and curing process of a reinforced polyester lining - original data

description: Polymer linings used in sewer rehabilitation technologies are expected to cure fast in order for the renewed line to return to the service quickly and with minimum disruption. This dataset includes the original data obtained from the thermal analyses of a reinforced polyester composite used as pipe lining, including studying gelation, enthalpy and curing process for a better understanding of the material's curing behavior after application in the field. 

The dataset was originally published in DiVA and moved to SND in 2024.
description: Polymer linings used in sewer rehabilitation technologies are expected to cure fast in order for the renewed line to return to the service quickly and with minimum disruption. This dataset includes the original data obtained from the thermal analyses of a reinforced polyester composite used as pipe lining, including studying gelation, enthalpy and curing process for a better understanding of the material's curing behavior after application in the field. 

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.15468/dl.tz8tcc
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allium carinatum",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005021-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5878/rtvm-yc23
title: Physico-chemical parameters measured at a high spatial resolution in the Miellajokka catchment, Sweden
title: Fysikalisk-kemiska parametrar uppmätta med en stor rumslig upplösning i Miellajokka-avrinningen, Sverige

description: High spatial resolution dataset of CO2 evasion in a stream network in northern Sweden (52.5 km2; Miellajokka catchment). We measured key hydrological parameters to estimate k600, directly determined the pCO2, and estimated stream CO2 evasion across 168 sites in the stream network. 

Comparison of pCO2 values from a global compilation of river chemistry (GLORICH; Hartmann et al., 2014) with calculated site-specific k600 and CO2 evasion.
description: Dataset med hög rumslig upplösning för CO2-undandragande i ett bäcknätverk i norra Sverige (52,5 km2; Miellajokka avrinningsområde). Viktiga hydrologiska parametrar uppmättes för att uppskatta k600, direkt bestämd pCO2 och beräknad strömavlopp CO2-undvikning över 168 platser i bäcknätverket.

Jämförelse av pCO2-värden från en global sammanställning av flodkemi (GLORICH; Hartmann et al., 2014) med beräknad platsspecifik k600 och CO2-evasion.
DOI: 10.57804/8y12-wt62
title: Chaguaceda et al. (2020) Oecologia dataset
title: Chaguaceda et al. (2020) Oecologia dataset

description: This dataset contains a series of variables over the ontogeny of a polymorphic perch (Perca fluviatilis) that live in pelagic and littoral habitats. The variables include: body size, growth, condition factor, C and N stable isotopes, diet estimations and % of different fatty acids in the dorsal muscle of perch. It also shows the isotope values of the food sources that were used as endpoints in the isotope mixing model. The dataset provides metadata of each variable.

The dataset was originally published in DiVA and moved to SND in 2024.
description: This dataset contains a series of variables over the ontogeny of a polymorphic perch (Perca fluviatilis) that live in pelagic and littoral habitats. The variables include: body size, growth, condition factor, C and N stable isotopes, diet estimations and % of different fatty acids in the dorsal muscle of perch. It also shows the isotope values of the food sources that were used as endpoints in the isotope mixing model. The dataset provides metadata of each variable.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.5878/59x8-2335
title: Characterization of Silver Nanowire Layers in the Terahertz Frequency Range
title: Characterization of Silver Nanowire Layers in the Terahertz Frequency Range

description: Transmittance of thin layers of silver nanowires with increasing densities. 

Nanowire dimensions of Samples:
- A: 40 ± 5 nm diameter, 35 ± 5 µm length
- B: 35 ± 5 nm diameter, 25 ± 5 µm length
- C: 30 ± 5 nm diameter, 20 ± 3 µm length

CSV files with the frequency in THz in the first column and the transmittance in the second column.

The dataset was originally published in DiVA and moved to SND in 2024.
description: Transmission av tunna lager av silver nanotrådar med ökande densiteter.

Nanotråddimensioner för prover:
- A: 40 ± 5 nm diameter, 35 ± 5 µm längd
- B: 35 ± 5 nm diameter, 25 ± 5 µm längd
- C: 30 ± 5 nm diameter, 20 ± 3 µm längd

CSV-filer med frekvensen i THz i den första kolumnen och transmittansen i den andra kolumnen.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.
DOI: 10.5878/jrex-z325
title: Automatic Detection of Ditches and Natural Streams from Digital Elevation Models Using Deep Learning
title: Automatisk detektion av diken och vattendrag från digitala höjdmodeller med hjälp av djupinlärning

description: This data contains the digital elevation models and polyline shapefiles with the location of channels from the 12 study areas used in this study. It also has the code to generate the datasets used to train the deep learning models to detect channels, ditches, and streams, and calculate the topographic indices. The code to train the models is also included, along with the models with the highest performance in 0.5 m resolution. The channels were mapped differently based on their type: ditches were manually digitized based on the visual analysis of some topographic indices and orthophotos obtained from the DEM. Streams were mapped by initially detecting all natural channel heads, then tracing the downstream channels, and finally manually editing them based on orthophotos.
description: Den här datamängden innehåller digitala höjdmodeller och polyline-shapefiler med placeringen av kanaler från de 12 studieområdena som används i denna studie. Den innehåller också koden för att generera datamängderna som används för att träna djupinlärningsmodellerna som används för att kartera kanaler, diken och vattendrag, samt beräkna topografiska index. Koden för att träna modellerna ingår också, tillsammans med modellerna med bäst prestanda i 0,5 meters upplösning. Kanalerna kartlades på olika sätt: diken digitaliserades manuellt baserat på visuell analys av vissa topografiska index och ortofoton som erhållits från en digital höjdmodell. Vattendrag kartlades genom att först upptäcka alla naturliga kanalhuvuden, sedan spåra nedströmskanalerna och slutligen redigera dem manuellt baserat på ortofoton.
DOI: 10.57804/m1k8-7p65
title: Data set for the material to "Coaching in Higher Education – A generic training model for university students to prevent stress"
title: Data set for the material to "Coaching in Higher Education – A generic training model for university students to prevent stress"

description: Primary data:

Responses to questionnaires and students' portfolio

Dataset with empirical material for the conference paper: "Coaching in Higher Education - A generic training model for stress prevention". Maria Fredriksson and Annika Henningsson

Brief summary of the empirical material: The purpose of this dataset is to collect the empirical material as a fraction was used for the conference contribution.

The dataset was originally published in DiVA and moved to SND in 2024.
description: Primärdata:

Svar på enkäter och studenters portfolio

Dataset av empiriskt material till konferensbidraget: "Coaching in Higher Education – A generic training model to prevent stress". Författare i bokstavsordning: Maria Fredriksson och Annika Henningsson

Kort sammanfattning av det empiriska materialet: Syfte med detta dataset är att samla det empiriska materialet då en bråkdel användes till konferensbidraget.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.