cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0159600.10fu
title: SH0159600.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.qjr6bn
title: Occurrence Download

description: A dataset containing 3373 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mentzelia multiflora"
 ]
}

 The dataset includes 3373 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008109-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16265035
title: Spatial Zoning for Remote Work in Multi-Family Dwellings: Enhancing Environmental Satisfaction for All Occupants

description: This is the dataset of the survey with households to consider environmental satisfaction while working home.
DOI: 10.5281/zenodo.16265036
title: Spatial Zoning for Remote Work in Multi-Family Dwellings: Enhancing Environmental Satisfaction for All Occupants

description: This is the dataset of the survey with households to consider environmental satisfaction while working home.
DOI: 10.15468/dl.vzgyd8
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cernuella virgata",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021406-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2be68f
title: Occurrence Download

description: A dataset containing 16012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Artemisia annua, Artemisia annua macrocephala, Artemisia annua genuina, Artemisia wadei, Artemisia annua genuina, Artemisia stewartii, Artemisia plumosa, Artemisia hyrcana, Artemisia annua annua, Artemisia exilis, Artemisia plumosa, Artemisia chamomilla, Artemisia suaveolens, Artemisia annua annua, Artemisia exilis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 16012 records from 345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021407-250717081556266/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.29603027
title: FLUXNET and Satelite-derived variables for Remote Sensing-Penman Monteith model

description: 8day FLUXNET-measured variables:Column1：TEMColumn2:SWColumn3:VPDColumn4:PREColumn5:LAIColumn6:ETColumn7:latitudeColumn8:longitudeColumn9:PTFsSatellite-derived variables for all FLUXNET sites:olumn1:TEMColumn2:RHColumn3:NRColumn4:soil heat fluxColumn5:air densityColumn6:VPDColumn7:PressureColumn8:Water vapor densityColumn9:LAIColumn10:ET<br>3.global annual mean ET during 2001-2014<br>
DOI: 10.6084/m9.figshare.29603027.v1
title: FLUXNET and Satelite-derived variables for Remote Sensing-Penman Monteith model

description: 8day FLUXNET-measured variables:Column1：TEMColumn2:SWColumn3:VPDColumn4:PREColumn5:LAIColumn6:ETColumn7:latitudeColumn8:longitudeColumn9:PTFsSatellite-derived variables for all FLUXNET sites:olumn1:TEMColumn2:RHColumn3:NRColumn4:soil heat fluxColumn5:air densityColumn6:VPDColumn7:PressureColumn8:Water vapor densityColumn9:LAIColumn10:ET<br>3.global annual mean ET during 2001-2014<br>
DOI: 10.15468/dl.27bh8g
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tridax procumbens",
 "Country is Palau",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021408-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5x8bh
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tridax procumbens",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 56 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021409-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12532975
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.bqqc22
title: Occurrence Download

description: A dataset containing 529 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anemone davidii"
 ]
}

 The dataset includes 529 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021410-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6vaxx
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is IND",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chamaeleo zeylanicus"
 ]
}

 The dataset includes 478 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021411-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3gt72
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tridax procumbens",
 "Country is Solomon Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021412-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbqqh4
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Inventario Español de Especies Terrestres (MAGRAMA)",
 "Geometry POLYGON((-2.97451 43.32291,-2.9774 43.26719,-2.89454 43.25449,-2.90032 43.32262,-2.97451 43.32291))"
 ]
}

 The dataset includes 144 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021413-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18728/igb-fred-996.2
title: Eco-phenotypic feedback loops differ in multi-stressor environments

description: Density dynamics and cell size and shape dynamics of two freshwater ciliate species (Colpidium striatum and Paramecium aurelia) in a full factorial design of 4 different salinity (0, 0.75, 1.5 and 3 NaCl g/L) and 4 different temperature (20, 22, 24 and 26°C) conditions. 
 
 "ID" : is the unique ID of each experimental bottles. This way we can link each video to each bottle over time. 
 "Species": Col = colpidium striatum, Pau = paramecium aurelia, PC = competition treatment 
 "Culture" :  states the same either mono(culture - single species) or mixed culture (competition)
  "Salinity" : different salt levels
"Temperature" : different temperature levels
 "Replicate"  : replicates
 "Date" : is the julian date of the year which I like to use to plot the time series, it takes into account if we 'skipped' a day, or whether it is measured in the morning or afternoon
  "Time"  : categorical time points, does not take into account skipping days, looks at total time points
 "True.date" : the actual date of the measurement
 "predicted_species" : using the species identification algorithm which species it is, this is only implemented on the competition treatment
"density" : the average density of a sample
 "mean_area" : bio area , here average bio-area across individuals of that sample
"mean_ar" : cell shape, ar = aspect ratio of minor to major cell size axis
 "sd_mean_area" : the standard deviation of mean_area
 "sd_mean_ar"  : the standard deviation of mean aspect ratio
  "n." : the number of individuals that have been used to estimate the trait values from
"act.time" : helps to make a plot from 0 to end point in time (basically julian.date - max(julian.date))
 

density: #individuals / mL
mean_area: µm²
mean_ar : unitless
DOI: 10.15468/dl.dg5h65
title: Occurrence Download

description: A dataset containing 803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus rattus",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 803 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021414-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5d3ur
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus rattus",
 "Country is Marshall Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021415-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17031/68763c6d3618e
title: 2024 Seawilding/BSAC Great Seagrass Survey

description: Habitat extent mapping and corresponding data of seagrass conducted by Seawildling and BSAC as part of the Great Seagrass Survey 2024 using combination of snorkel-based (subtidal), shore-based (intertidal) extent mapping and human-powered stand-up paddle habitat extent mapping.
description: Data archived into DASSH from Marine Recorder Online.
DOI: 10.5281/zenodo.15654904
title: Controlling Hydrocarbon Chain Growth and Degree of Branching in CO2 Electroreduction on Fluorine-Doped Nickel Catalysts, DOI: 10.1038/s41929-025-01370-1 (Raw Data Set)

description: This database contains the raw data set for the article 'Controlling Hydrocarbon Chain Growth and Degree of Branching in CO2 Electroreduction on Fluorine-Doped Nickel Catalysts' (DOI: 10.1038/s41929-025-01370-1).
DOI: 10.5281/zenodo.15654905
title: Controlling Hydrocarbon Chain Growth and Degree of Branching in CO2 Electroreduction on Fluorine-Doped Nickel Catalysts, DOI: 10.1038/s41929-025-01370-1 (Raw Data Set)

description: This database contains the raw data set for the article 'Controlling Hydrocarbon Chain Growth and Degree of Branching in CO2 Electroreduction on Fluorine-Doped Nickel Catalysts' (DOI: 10.1038/s41929-025-01370-1).
DOI: 10.5281/zenodo.14766426
title: BETA-FOR_SP9_CameraTrap_Trapper_2022/2023

description: one-time sampling + rapid assessment 2023

################

Camera trap data for 2022 and 2023. One camera was installed on the trunk of a tree at each patch, positioned at a height of approximately 40 to 60 cm above the ground and oriented toward the center of the patch. In 2022, we sampled the 90 patches in the University Forest and the 90 patches in the Bavarian Forest. In 2023, we sampled the 54 patches of the Satellite sites and 54 patches of the Rapid Assessment sites. In both years the cameras operated continuously from the end of March to the end of July. Images were identified in Trapper using an AI approach. Single images that could not be identified automatically were identified by Jörg Müller.

################

We greatly acknowledge the help of:

Michael Junginger, Ruth Pickert, Sophia Hochrein, Katharina Kallnik, Lukas Schneider (BA), Manuel Mauermann, Tim Becker, Tamara Rosch, Julius Schneider, Interns of the Bavarian Forest Nationalpark and all other assistants
description: Variables Description################

*patchLabelBETAFOR: unique BETA-FOR patch label

*dwc:decimalLongitude: longitudinal coordinates of the patch in decimals

*dwc:decimalLatitude: latitudinal coordinates of the patch in decimals

*dwc:eventID: A unique identifier for the obervation

*dwc:vernacularName: A common or vernacular name of the recorded species

*dwc:scientificName: species name in binary nomenclature

*dwc:year: The year of the record

*dwc:month: The month of the record

*dwc:day: The day of the record

*time: The time of the record (UTC+1)

*dwc:identifiedBy: Name of the taxonomist identifying the species
DOI: 10.5281/zenodo.14766425
title: BETA-FOR_SP9_CameraTrap_Trapper_2022/2023

description: one-time sampling + rapid assessment 2023

################

Camera trap data for 2022 and 2023. One camera was installed on the trunk of a tree at each patch, positioned at a height of approximately 40 to 60 cm above the ground and oriented toward the center of the patch. In 2022, we sampled the 90 patches in the University Forest and the 90 patches in the Bavarian Forest. In 2023, we sampled the 54 patches of the Satellite sites and 54 patches of the Rapid Assessment sites. In both years the cameras operated continuously from the end of March to the end of July. Images were identified in Trapper using an AI approach. Single images that could not be identified automatically were identified by Jörg Müller.

################

We greatly acknowledge the help of:

Michael Junginger, Ruth Pickert, Sophia Hochrein, Katharina Kallnik, Lukas Schneider (BA), Manuel Mauermann, Tim Becker, Tamara Rosch, Julius Schneider, Interns of the Bavarian Forest Nationalpark and all other assistants
description: Variables Description################

*patchLabelBETAFOR: unique BETA-FOR patch label

*dwc:decimalLongitude: longitudinal coordinates of the patch in decimals

*dwc:decimalLatitude: latitudinal coordinates of the patch in decimals

*dwc:eventID: A unique identifier for the obervation

*dwc:vernacularName: A common or vernacular name of the recorded species

*dwc:scientificName: species name in binary nomenclature

*dwc:year: The year of the record

*dwc:month: The month of the record

*dwc:day: The day of the record

*time: The time of the record (UTC+1)

*dwc:identifiedBy: Name of the taxonomist identifying the species
DOI: 10.15468/dl.v634zr
title: Occurrence Download

description: A dataset containing 11488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Carabus cancellatus, Sibinia sellatus)"
 ]
}

 The dataset includes 11488 records from 271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021416-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pkrpy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria helvola",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021417-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mp9pyh
title: Occurrence Download

description: A dataset containing 21403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Continent is Africa",
 "Country is one of (Benin, Nigeria)",
 "TaxonKey is Vitellaria paradoxa"
 ]
}

 The dataset includes 21403 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021419-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16265231
title: AMIRIS Examples

description: Example configurations built for AMIRIS 3.6.0 See the individual licence information in the respective scenarios.

How-to

Please use AMIRIS-Py to run AMIRIS-Examples. Follow these very few instructions in its README to have AMIRIS running in no time.

Sample scenarios



Simple: simple scenario running for one day with dummy data

SimpleCoupled: simple scenario coupling two markets running for one day with dummy data

Austria2019: historical simulation of Austrian day-ahead market in 2019

Germany2015: historical simulation of German day-ahead market in 2015

Germany2016: historical simulation of German day-ahead market in 2016

Germany2017: historical simulation of German day-ahead market in 2017

Germany2018: historical simulation of German day-ahead market in 2018

Germany2019: historical simulation of German day-ahead market in 2019


Citing AMIRIS Examples

If you use AMIRIS Examples in your scientific work please cite:

Kristina Nienhaus, Christoph Schimeczek, Ulrich Frey, Evelyn Sperber, Seyedfarzad Sarfarazi, Felix Nitsch, Johannes Kochems & A. Achraf El Ghazi (2023). AMIRIS Examples. Zenodo. doi: 10.5281/zenodo.7789049

Acknowledgments

We thank those who contributed to enhancing the AMIRIS examples:



v1.1 Dr. Tom Bauermann, for pointing out errors in historical fuel prices
DOI: 10.15468/dl.kxnyew
title: Occurrence Download

description: A dataset containing 42499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melia azedarach, Melia argentea, Melia birmanica, Melia florida, Melia azedarach biglandulosa, Melia australis, Melia angustifolia, Melia azedarach albiflora, Melia azedarach umbraculifera, Azedarach sempervirens incisodentata, Melia candollei, Melia sambucina, Melia toosendan, Melia composita, Melia composita cochinchinensis, Azedarach sempervirens subdentata, Melia arguta, Melia dubia, Melia japonica semperflorens, Azedarach vulgaris, Melia flaccida, Melia azedarach squamulosa, Melia commelini, Melia azedarach intermedia, Melia commelini, Azedaraca amena, Melia azedarach acuminatissima, Melia bukayun, Melia argentea, Melia composita, Melia bombolo, Azedarach deleteria, Melia robusta, Melia guineensis, Azedarach odoratum, Azedarach sempervirens longifoliola, Melia aethiopica, Melia cochinchinensis, Azedarach commelinii, Melia azedarach javanica, Melia australasica, Azedarach fraxinifolia, Melia azedarach incisa, Melia azedarach glandulosa, Melia azedarach subtripinnata, Melia robusta, Antelaea javanica, Melia chinensis, Melia composita biglandulosa, Melia hasskarlii, Melia javanica, Azedara speciosa, Melia orientalis, Melia superba, Melia flaccida, Melia chinensis, Melia floribunda, Melia japonica albicans, Melia azedarach umbraculiformis, Melia azedarach glabrior, Melia azedarach sempervirens, Melia azedarach umbraculifera, Melia japonica, Melia bogoriensis, Melia azedarach umbraculifera, Melia azedarach sambucina, Melia azedarach toosendan, Melia azedarach cochinchinensis, Azedarach sempervirens dubia, Azedarach sempervirens australasica, Melia azedarach australasica, Melia azedarach biglandulosa, Melia azedarach floribunda, Azedarach sempervirens glabrior, Melia sempervirens, Azedarach sempervirens, Melia sempervirens, Melia azedarach japonica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 42499 records from 370 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021420-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7db8h
title: Occurrence Download

description: A dataset containing 607 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melodinus fusiformis"
 ]
}

 The dataset includes 607 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021421-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9dpww
title: Occurrence Download

description: A dataset containing 92092 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Oxalis pes-caprae"
 ]
}

 The dataset includes 92092 records from 306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021349-250717081556266/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.29608901.v2
title: <b>Simulation part of the code: </b><b>Allocation of responsibility for carbon emission reduction, carbon unlocking pathways and high-quality development of agriculture from the perspective of the</b><b>Agricultural Industrialization Coalition</b>

description: Green agriculture is necessary for high-quality agricultural development, emphasizing ecological protection, resource conservation, and product quality for sustainable growth. This study adopts a dynamic deductive approach to investigate the responsibility and pathways for reducing carbon emissions in agriculture. The study assessed the changes in total factor productivity of green agriculture in Chinese provinces using the SBM-GML index model. The study also assessed agricultural modernization, high-quality development, and sectoral coordination through the entropy model and coupled coordination model. Spatial autocorrelation and Markov chain methods were applied to analyze trends. The results of the study elucidated the carbon emission reduction model of “Government &gt; Agricultural Industrialization Entrepreneurs &gt; Farmers”, in which government policies, green technology promotion, and low-carbon practices are key. Pilot policy innovations by agricultural industrialization coalitions have significantly contributed to agricultural development, demonstrating positive effects in terms of coupling coordination, green productivity growth, and modernization. In most regions, technological innovation has mainly contributed to green productivity growth, but the phenomenon of “the strong getting stronger and the weak getting weaker ”persists. The geographical distribution of high-quality agricultural development remains stable, interregional mobility is low, and the spatial lag effect is evident in the stage of regional development. The main objective of this study is to provide policy recommendations for promoting the development of green agriculture and enhancing high-quality development in China.