cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.68teqa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysiogenetes",
 "HasCoordinate is true",
 "Country is one of (Bulgaria)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215616-210914110416597/datasets/export for details.
DOI: 10.15468/dl.g4ytqy
title: Occurrence Download

description: A dataset containing 1278569 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Russulales"
 ]
}

 The dataset includes 1278569 records from 658 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117496-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9w2r9ct4f2.1
title: Building and Developing Core Teaching Skills via Reflective Micro-Teaching

description: Teaching is a complex profession; and therefore, micro-teaching is needed to scale down its complexity to train pre-service teachers for future real teaching. However, micro-teaching experiences without reflection are insufficient for building or developing professional teaching skills. Therefore, this book aims at building and developing essential teaching skills through reflective micro-teaching in which teacher trainees, individually and collectively, reflect on their own micro-teaching practices with the assistance of reflection forms in controlled teaching environments. The book consists of three chapters. The first chapter covers the conceptual and theoretical framework of reflective micro-teaching. The second chapter deals with video-mediated microteaching as a stimulus for reflection. The third chapter includes the conceptual and theoretical framework of the core teaching skills and provides reflection forms that help teacher trainees to reflect on their own and one another's micro-teaching practices, for building and developing these core skills.
DOI: 10.15468/dl.ujemjx
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cerastium texanum Britton"
 ]
}

 The dataset includes 275 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132322-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pspkcb
title: Occurrence Download

description: A dataset containing 2330 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhinolophus affinis Horsfield, 1823"
 ]
}

 The dataset includes 2330 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117498-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uk8sn
title: Occurrence Download

description: A dataset containing 851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citharexylum spinosum L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 851 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013857-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wmp54
title: Occurrence Download

description: A dataset containing 13635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.65943 3.48423,-5.13094 2.94295,-2.96239 -5.75896,4.85988 -2.55374,1.76195 4.29556,-3.65943 3.48423))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13635 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132326-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2e32n
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is Peru",
 "Geometry POLYGON((-75.64087 0.16315,-77.80518 -2.97705,-74.56696 -3.69639,-74.25494 -3.95948,-74.38293 -4.08099,-74.25989 -4.33518,-74.05774 -4.43158,-73.78528 -4.58053,-73.45129 -4.46663,-73.35461 -4.08975,-73.21399 -4.13359,-73.24036 -3.68639,-72.94153 -3.44954,-72.29993 -3.5285,-71.73743 -3.31794,-71.71106 -3.70393,-71.48254 -3.85302,-71.25403 -3.8004,-71.1134 -4.01085,-70.71707 -3.87241,-69.97659 -2.6659,-75.64087 0.16315))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Odontophorus gujanensis (J.F.Gmelin, 1789)"
 ]
}

 The dataset includes 124 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084734-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpa82r
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sclerurus cearensis Snethlage, 1924"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273120-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m55cag
title: Occurrence Download

description: A dataset containing 2474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bernardia corensis (Jacq.) Müll.Arg., Bernardia dichotoma (Willd.) Müll.Arg., Bernardia dodecandra (Sessé ex Cav.) Govaerts, Bernardia incana J.K.Morton, Bernardia laurentii R.A.Howard, Bernardia mexicana (Hook. & Arn.) Müll.Arg., Bernardia nicaraguensis Standl. & L.O.Williams, Bernardia pulchella (Baill.) Müll.Arg., Bernardia tenuifolia Urb.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2474 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132330-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/u1t8zm
title: PAN-00177014 - Roman hobnail

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00177014&lt;/p&gt;
description: Modified: 2025-07-24T17:56:20+02:00
DOI: 10.15468/dl.euwptk
title: Occurrence Download

description: A dataset containing 3688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dikerogammarus villosus)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1971",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3688 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027812-251120083545085/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.22262545
title: A history reconstructed time series (1992-2011) of annual global NPP-VIIRS-like nighttime light data through a super-resolution U-Net model

description: The dataset provides an extended time series of Version 2 annual NPP-VIIRS nighttime light (NTL) composites, enabling long-term urban and socioeconomic monitoring from 1992 to 2024.It consists of three components:<br>(1) <b>Simulated NPP-VIIRS-like NTL data for 1992–2011</b>, generated from stable DMSP-OLS NTL observations using a super-resolution U-Net deep learning model that integrates Landsat-derived NDVI to enhance spatial detail and temporal consistency;<br>(2) <b>Annual NPP-VIIRS NTL Version 2.0 data for 2012–2021</b>; and(3) <b>Annual NPP-VIIRS NTL Version 2.2 data for 2022–2024</b>.Both the V2.0 and V2.2 NPP-VIIRS products are the <i>average_masked</i> versions, and all pixel values less than zero have been set to zero.The original NPP-VIIRS V2.0 and V2.2 data (2012–2024) were obtained from the Earth Observation Group at the Colorado School of Mines (https://eogdata.mines.edu/products/vnl/).The dataset are 15 arc second grids, spanning -180 to 180 degrees longitude and -65 to 75 degrees latitude.Each zip file contains an NTL image in geotiff format. The filename of each image is "SRUNet_NPP_VIIRS_V2_Like_yyyy", where "yyyy" is the year of the image.The simulated NPP-VIIRS NTL data converted from the DMSP-OLS NTL data in 2012 and 2013 are also uploaded, which named "simulated_NPP_VIIRS_V2_yyyy".Based on the super-resolution deep learning technology, the dataset using DMSP-OLS NTL data and Landsat NDVI to reconstruct the NPP-VIIRS NTL data in the early years (1992-2011). The dataset could be easily updated by downloading the version 2 annual NPP-VIIRS NTL data in later years from the academic sector at the Colorado School of Mines (https://eogdata.mines.edu/products/vnl/). The dataset has good spatial pattern and temporal consistency, and is highly consistent with NPP-VIIRS NTL data. It provide a longer time period compared to existing products.Compared with the annual NPP-VIIRS NTL data in 2012, the dataset shows a good consistency at the pixel, city, province and nation levels with R2 of 0.617, 0.747, 0.874, and 0.964, respectively, while the R2 of the NPP-VIIRS-like NTL product provide by Chen (2020) is 0.512, 0.694, 0.86, and 0.966, respectively.<br>
DOI: 10.6084/m9.figshare.22262545.v9
title: A history reconstructed time series (1992-2011) of annual global NPP-VIIRS-like nighttime light data through a super-resolution U-Net model

description: The dataset provides an extended time series of Version 2 annual NPP-VIIRS nighttime light (NTL) composites, enabling long-term urban and socioeconomic monitoring from 1992 to 2024.It consists of three components:<br>(1) <b>Simulated NPP-VIIRS-like NTL data for 1992–2011</b>, generated from stable DMSP-OLS NTL observations using a super-resolution U-Net deep learning model that integrates Landsat-derived NDVI to enhance spatial detail and temporal consistency;<br>(2) <b>Annual NPP-VIIRS NTL Version 2.0 data for 2012–2021</b>; and(3) <b>Annual NPP-VIIRS NTL Version 2.2 data for 2022–2024</b>.Both the V2.0 and V2.2 NPP-VIIRS products are the <i>average_masked</i> versions, and all pixel values less than zero have been set to zero.The original NPP-VIIRS V2.0 and V2.2 data (2012–2024) were obtained from the Earth Observation Group at the Colorado School of Mines (https://eogdata.mines.edu/products/vnl/).The dataset are 15 arc second grids, spanning -180 to 180 degrees longitude and -65 to 75 degrees latitude.Each zip file contains an NTL image in geotiff format. The filename of each image is "SRUNet_NPP_VIIRS_V2_Like_yyyy", where "yyyy" is the year of the image.The simulated NPP-VIIRS NTL data converted from the DMSP-OLS NTL data in 2012 and 2013 are also uploaded, which named "simulated_NPP_VIIRS_V2_yyyy".Based on the super-resolution deep learning technology, the dataset using DMSP-OLS NTL data and Landsat NDVI to reconstruct the NPP-VIIRS NTL data in the early years (1992-2011). The dataset could be easily updated by downloading the version 2 annual NPP-VIIRS NTL data in later years from the academic sector at the Colorado School of Mines (https://eogdata.mines.edu/products/vnl/). The dataset has good spatial pattern and temporal consistency, and is highly consistent with NPP-VIIRS NTL data. It provide a longer time period compared to existing products.Compared with the annual NPP-VIIRS NTL data in 2012, the dataset shows a good consistency at the pixel, city, province and nation levels with R2 of 0.617, 0.747, 0.874, and 0.964, respectively, while the R2 of the NPP-VIIRS-like NTL product provide by Chen (2020) is 0.512, 0.694, 0.86, and 0.966, respectively.<br>
DOI: 10.6084/m9.figshare.22262545.v8
title: A history reconstructed time series (1992-2011) of annual global NPP-VIIRS-like nighttime light data through a super-resolution U-Net model

description: The dataset is an extend time series of the Version 2 annual NPP-VIIRS nighttime light composites.The dataset contains (1) simulated NPP-VIIRS NTL time series from the DMSP-OLS NTL data (1992-2011) based on a super-resolution U-Net method; and (2) the version 2 annual NPP-VIIRS NTL data (2012-2023), which were obtained from the academic sector at the Colorado School of Mines (https://eogdata.mines.edu/products/vnl/). The pixels of which value less than zero were set to zero.The dataset are 15 arc second grids, spanning -180 to 180 degrees longitude and -65 to 75 degrees latitude.Each zip file contains an NTL image in geotiff format. The filename of each image is "SRUNet_NPP_VIIRS_V2_Like_yyyy", where "yyyy" is the year of the image.The simulated NPP-VIIRS NTL data converted from the DMSP-OLS NTL data in 2012 and 2013 are also uploaded, which named "simulated_NPP_VIIRS_V2_yyyy".Based on the super-resolution deep learning technology, the dataset using DMSP-OLS NTL data and Landsat NDVI to reconstruct the NPP-VIIRS NTL data in the early years (1992-2011). The dataset could be easily updated by downloading the version 2 annual NPP-VIIRS NTL data in later years from the academic sector at the Colorado School of Mines (https://eogdata.mines.edu/products/vnl/). The dataset has good spatial pattern and temporal consistency, and is highly consistent with NPP-VIIRS NTL data. It provide a longer time period compared to existing products.Compared with the annual NPP-VIIRS NTL data in 2012, the dataset shows a good consistency at the pixel, city, province and nation levels with R2 of 0.617, 0.747, 0.874, and 0.964, respectively, while the R2 of the NPP-VIIRS-like NTL product provide by Chen (2020) is 0.512, 0.694, 0.86, and 0.966, respectively.
DOI: 10.15468/dl.84pcqh
title: Occurrence Download

description: A dataset containing 1135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is SEWBReC Arachnids (South East Wales)",
 "Geometry POLYGON((-4.24625 51.64362,-4.32057 51.61404,-4.31867 51.56431,-4.21385 51.53468,-4.19288 51.54535,-4.14714 51.54061,-4.13761 51.56668,-3.97753 51.57024,-3.93941 51.61523,-3.91654 51.65899,-3.94131 51.67672,-4.0004 51.65308,-4.07663 51.66018,-4.24625 51.64362))",
 "HasGeospatialIssue is false",
 "Year 2013-2023"
 ]
}

 The dataset includes 1135 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027815-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18712/nsd-nsd0639-1-v2
title: The National Broadcasting System's User Survey, 1983

description: Datasettet er hentet fra 'Undersøkelse om radiolytting og fjernsynsseing, 1983', utført av Statistisk sentralbyrå (SSB) etter oppdrag fra Norsk Rikskringkasting (NRK). Undersøkelsen i 1983 var en av SSBs årlige lytter- og seerundersøkelser for NRK. Fra 1967 til 1977 gjennomførte SSB årlige generelle radio- og fjernsynsundersøkelser for NRK. I perioden 1978 til 1985 ble det utført flere spesialundersøkelser, undersøkelser av generell karakter ble bare gjennomført i 1980 og 1983. Fra 1985 tok man i bruk et nytt opplegg med 3 generelle undersøkelser pr. år. Hovedformålet med 1983-undersøkelsen, i likehet med de foregåenede generelle undersøkelsene, var å anslå hvor stor del av landets voksne befolkning som fulgte de enkelte programposter i radio- og fjernsyn i løpet av en bestemt undersøkelsesperiode, og hvordan lytterne og seerne fordelte seg etter bakgrunnskjennetegn som kjønn, alder, utdanning, yrke osv. Opplysniger om hvor mange som har fulgt den enkelte programpost helt eller delvis og hvor mange som har startet eller avbrutt sin radiolytting eller fjernsynsseing i samband med programposten. I tillegg til å registrere oppslutningen om NRKs sendinger tok undersøkelsen sikte på å gi et bilde av befolkningens samlede bruk av massemediene. Det ble tatt med spørsmål om bruken av nye mediatilbud slik som nærradio og video og om etablerte medier som aviser, ukeblad, tidsskrifter, plate- og kassettspillere osv. Undersøkelsen omfatter også spørsmål som gjelder utformingen av programtilbudet, om interesse for forskjellige programtyper, spørsmål om sendetider og om andre saker som har betydning for det praktiske kringkastingsarbeidet. Siden svært mange av spørsmålene også har vært stilt tidligere, gir undersøkelsen muligheter til å studere endringer i bruken av de ulike mediene. For å sikre at registreringen av endringer blir så pålitelig som mulig, er en del av utvalget personer som også var med i Radio- og fjernsynsundersøkelsen januar-februar 1980.Til undersøkelsen ble det i alt utarbeidet 8 skjematyper, én for hver intervjudag Hver skjematype inneholdt spørsmål om programmene for to bestemte programdager (de to siste dagene før intervjudagen). De 8 skjematypene ble delt i to hovedgrupper, A og B. De fleste spørsmålene er de samme i A- og B-skjemaene. I A-skjemaene ble det tatt med noen tilleggsspørsmål om utforming av programposter, i B-skjemaene en del spørsmål om tidsbruken generelt og om interesser i forskjellige emneområder. Skjematype A ble brukt mandag 7., torsdag 10., lørdag 12. og mandag 14. februar; skjematype B ble brukt lørdag 5., tirsdag 8., onsdag 9. og fredag 11. februar.Undersøkelsesperioden var torsdag 3. til søndag 13. februar. Denne filen inneholder data for intervjuene gjennomført mandag 7. februar, spørsmålene gjelder for dagene lørdag 5. og søndag 6. februar.
DOI: 10.15468/dl.zm97mg
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diplothrix legata",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 108 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027816-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18712/nsd-nsd0639-3-v2
title: The National Broadcasting System's User Survey, 1983

description: Datasettet er hentet fra 'Undersøkelse om radiolytting og fjernsynsseing, 1983', utført av Statistisk sentralbyrå (SSB) etter oppdrag fra Norsk Rikskringkasting (NRK). Undersøkelsen i 1983 var en av SSBs årlige lytter- og seerundersøkelser for NRK. Fra 1967 til 1977 gjennomførte SSB årlige generelle radio- og fjernsynsundersøkelser for NRK. I perioden 1978 til 1985 ble det utført flere spesialundersøkelser, undersøkelser av generell karakter ble bare gjennomført i 1980 og 1983. Fra 1985 tok man i bruk et nytt opplegg med 3 generelle undersøkelser pr. år. Hovedformålet med 1983-undersøkelsen, i likehet med de foregåenede generelle undersøkelsene, var å anslå hvor stor del av landets voksne befolkning som fulgte de enkelte programposter i radio- og fjernsyn i løpet av en bestemt undersøkelsesperiode, og hvordan lytterne og seerne fordelte seg etter bakgrunnskjennetegn som kjønn, alder, utdanning, yrke osv. Opplysniger om hvor mange som har fulgt den enkelte programpost helt eller delvis og hvor mange som har startet eller avbrutt sin radiolytting eller fjernsynsseing i samband med programposten. I tillegg til å registrere oppslutningen om NRKs sendinger tok undersøkelsen sikte på å gi et bilde av befolkningens samlede bruk av massemediene. Det ble tatt med spørsmål om bruken av nye mediatilbud slik som nærradio og video og om etablerte medier som aviser, ukeblad, tidsskrifter, plate- og kassettspillere osv. Undersøkelsen omfatter også spørsmål som gjelder utformingen av programtilbudet, om interesse for forskjellige programtyper, spørsmål om sendetider og om andre saker som har betydning for det praktiske kringkastingsarbeidet. Siden svært mange av spørsmålene også har vært stilt tidligere, gir undersøkelsen muligheter til å studere endringer i bruken av de ulike mediene. For å sikre at registreringen av endringer blir så pålitelig som mulig, er en del av utvalget personer som også var med i Radio- og fjernsynsundersøkelsen januar-februar 1980.Til undersøkelsen ble det i alt utarbeidet 8 skjematyper, én for hver intervjudag Hver skjematype inneholdt spørsmål om programmene for to bestemte programdager (de to siste dagene før intervjudagen). De 8 skjematypene ble delt i to hovedgrupper, A og B. De fleste spørsmålene er de samme i A- og B-skjemaene. I A-skjemaene ble det tatt med noen tilleggsspørsmål om utforming av programposter, i B-skjemaene en del spørsmål om tidsbruken generelt og om interesser i forskjellige emneområder. Skjematype A ble brukt mandag 7., torsdag 10., lørdag 12. og mandag 14. februar; skjematype B ble brukt lørdag 5., tirsdag 8., onsdag 9. og fredag 11. februar.Undersøkelsesperioden var torsdag 3. til søndag 13. februar. Denne filen inneholder data for intervjuene gjennomført lørdag 12. februar, spørsmålene gjelder for dagene torsdag 10. og fredag 11. februar.