cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14033100
title: Hartmannsdorf Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.14033089
title: Hartenstein Mohren-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.14032311
title: qiime2
DOI: 10.5281/zenodo.14032312
title: qiime2
DOI: 10.15468/dl.r3fdex
title: Occurrence Download

description: A dataset containing 11132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Cameroon",
 "DatasetKey is iNaturalist Research-grade Observations",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "Year 2000-2024"
 ]
}

 The dataset includes 11132 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020638-241024112534372/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/9797981
title: Bug Identification Dataset
DOI: 10.5281/zenodo.14032761
title: Spatial predictions of the morpho-ecological state of Finnish palsa mires

description: Spatial predictions of the probability of a good morpho-ecological state are provided for Finnish palsa mires as a TIFF file with a 10 m resolution, using the EUREF FIN TM35FIN coordinate system.

These predictions were produced through spatial modeling that combined classified point data on the state of Finnish palsa mires (Ruuhijärvi et al., 2022) with high-resolution (10 m) environmental datasets. The predictions were computed for the extent of palsa mires (Tammilehto et al., 2024).  Modelling was conducted in mgcv package (version 1.9.0; Wood, 2011) in R (version 4.3.2; R Core Team 2023). The predictions were developed during the preparation of the manuscript: "The morpho-ecological state of palsa mires in sub-arctic Fennoscandia: insights from high-resolution spatial modelling" (Leppiniemi et al., 2024, in-review).

 

References:

Leppiniemi, O., Karjalainen, O., Aalto, J., Yletyinen., E., Luoto, M., & Hjort, J. 2024. The morpho-ecological state of palsa mires in sub-arctic Fennoscandia: insights from high-resolution spatial modelling. (In-review).

R Core Team (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/ (accessed 14 October 2024).

Ruuhijärvi, R., Salminen, P., & Tuominen, S., 2022. Distribution range, morphological types, and state of palsa mires in Finland in the 2010s. Suo 73, 1–32. (In Finnish with English summary).

Tammilehto, A., Härmä, P., Kallio, M., Törmä, M., Saikkonen, A., Tuominen, S., Impiö, M., Heikkinen, M., Kervinen, M., Jussila, T., Böttcher, K., Pääkkö, E., Kokko, A., Mäkelä, K., & Anttila, S., 2024. Ylä-Lapin luonnon kaukokartoitus – Projektin loppuraportti osa 1 – Aineistot ja menetelmät. Vantaa. (In Finnish).

Wood, S.N., 2011. Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. J. R. Stat. Soc. Series B Stat. Methodol. 73, 3–36. https://doi.org/10.1111/J.1467-9868.2010.00749.X
DOI: 10.5281/zenodo.14032762
title: Spatial predictions of the morpho-ecological state of Finnish palsa mires

description: Spatial predictions of the probability of a good morpho-ecological state are provided for Finnish palsa mires as a TIFF file with a 10 m resolution, using the EUREF FIN TM35FIN coordinate system.

These predictions were produced through spatial modeling that combined classified point data on the state of Finnish palsa mires (Ruuhijärvi et al., 2022) with high-resolution (10 m) environmental datasets. The predictions were computed for the extent of palsa mires (Tammilehto et al., 2024).  Modelling was conducted in mgcv package (version 1.9.0; Wood, 2011) in R (version 4.3.2; R Core Team 2023). The predictions were developed during the preparation of the manuscript: "The morpho-ecological state of palsa mires in sub-arctic Fennoscandia: insights from high-resolution spatial modelling" (Leppiniemi et al., 2024, in-review).

 

References:

Leppiniemi, O., Karjalainen, O., Aalto, J., Yletyinen., E., Luoto, M., & Hjort, J. 2024. The morpho-ecological state of palsa mires in sub-arctic Fennoscandia: insights from high-resolution spatial modelling. (In-review).

R Core Team (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/ (accessed 14 October 2024).

Ruuhijärvi, R., Salminen, P., & Tuominen, S., 2022. Distribution range, morphological types, and state of palsa mires in Finland in the 2010s. Suo 73, 1–32. (In Finnish with English summary).

Tammilehto, A., Härmä, P., Kallio, M., Törmä, M., Saikkonen, A., Tuominen, S., Impiö, M., Heikkinen, M., Kervinen, M., Jussila, T., Böttcher, K., Pääkkö, E., Kokko, A., Mäkelä, K., & Anttila, S., 2024. Ylä-Lapin luonnon kaukokartoitus – Projektin loppuraportti osa 1 – Aineistot ja menetelmät. Vantaa. (In Finnish).

Wood, S.N., 2011. Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. J. R. Stat. Soc. Series B Stat. Methodol. 73, 3–36. https://doi.org/10.1111/J.1467-9868.2010.00749.X
DOI: 10.15468/dl.4yzdwt
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Pteris blumeana J.Agardh"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020641-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14033114
title: Bad Harzburg Adler-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).Historical
DOI: 10.5281/zenodo.14018211
title: SERENA EJPSOIL PL SOC LOSS SOC CONTENT

description: General description of SERENA

The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

Files description

Data was prepared as a result of SERENA EJP SOIL. The attached files are a part of the analysis of Assessment of Soil Threats and Ecosystem Services from each MS with the harmonized procedures. SERENA deliverable 3.3 (https://doi.org/10.5281/zenodo.13991087). Data was prepared based on the DSM approach using QRF algorithm. We used over 40000 points to create maps of SOC content for 2018 and climate change RCP 4.5 and 8.5 scenarios (https://opendap.4tu.nl/thredds/catalog/data2/uuid/e940ec1a-71a0-449e-bbe3-29217f2ba31d/catalog.html) to  predict SOC content for 2050.
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:






It is the result of a modelling exercise and does not necessarily reflect reality.




Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .




It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.




These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.





==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.15468/dl.y2wksk
title: Occurrence Download

description: A dataset listing the 223 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Saudi Arabia",
 "Geometry POLYGON((34.85046 29.81083,32.05339 30.51266,37.9299 15.53485,43.47809 12.16336,43.69509 14.16359,42.44868 18.56075,40.17438 22.59755,34.85046 29.81083))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Echinodermata"
 ]
}

 The dataset's 223 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020636-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxfpyz
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "Geometry POLYGON((30.35567 -26.1035,32.10138 -26.1035,32.10138 -22.3162,30.35567 -22.3162,30.35567 -26.1035))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phragmites mauritianus Kunth"
 ]
}

 The dataset includes 75 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020644-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y44ev5
title: Occurrence Download

description: A dataset containing 1134 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllostachys edulis (Carrière) J.Houz."
 ]
}

 The dataset includes 1134 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020645-241024112534372/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.27601491
title: MG1.finally .gff3

description: Annotation on the genome of a male Chanodichthys mongolicus called MG1（Liu， Q. & Li， W. <i>Genbank </i><i>https://www.ncbi.nlm.nih.gov/datasets/genome/GCA_040802255.1</i>）
DOI: 10.5281/zenodo.14017678
title: SERENA EJPSOIL PL GHG NEP

description: General description of SERENA

The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

Files description

Data was prepared as a result of SERENA EJP SOIL. The attached files are a part of the analysis of Assessment of Soil Threats and Ecosystem Services from each MS with the harmonized procedures. SERENA deliverable 3.3 (https://doi.org/10.5281/zenodo.13991087). 

The present dataset corresponds to a map of Net Ecosystem Productivity (NEP) for Poland (agricultural areass) as wheat by the Eurocrop 2028 spatial product (d’Andrimont et al. 2021). The map is the result of applying the NEP cookbook developed in SERENA/EJP-Soil to the area of interest (AOI) input data. NEP is expressed for a single 8-day period in early summer as it is the date with the highest value. The NEP value is a 2014 average for the particular 8-day period. NEP was used as an indicator of greenhouse gasses and climate regulation supported by soils. 
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:






It is the result of a modelling exercise and does not necessarily reflect reality.




Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .




It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.




These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.





==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.5281/zenodo.14018111
title: SERENA EJPSOIL PL EROSION CONTROL SOIL MASS NOT ERODED

description: General description of SERENA

The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.

Files description

Data was prepared as a result of SERENA EJP SOIL. The attached files are a part of the analysis of Assessment of Soil Threats and Ecosystem Services from each MS with the harmonized procedures. SERENA deliverable 3.3 (https://doi.org/10.5281/zenodo.13991087). The RUSLE method was used to prepare the attached files. 
description: The data are derived from the calculation of indicators based on a standard methodology established as part of the EJP Soil SERENA programme. Please keep in mind that:






It is the result of a modelling exercise and does not necessarily reflect reality.




Despite the efforts made to provide reliable data, the results may contain inconsistencies, depending in particular on the raw data available and level of accuracy of the techniques chosen and their prior knowledge .




It is necessary to consider how the results have been obtained in order to decide on their relevance in relation to the intended purpose of reuse.




These results are interesting from a scientific point of view, but their use for environmental management and policy issues should be done keeping the previous aspects in mind and complementing when necessary the provided results with the best available data.





==> Finally, it is the responsibility of the users of this information to decide whether it is appropriate to use these data and whether the data meet their needs. The authors of this resource can in no way be held responsible for the results obtained from the use of this data.
DOI: 10.15468/dl.ev3xsa
title: Occurrence Download

description: A dataset containing 59383 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Furcellaria J.V.F.Lamouroux, 1813"
 ]
}

 The dataset includes 59383 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020646-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/xbcdss
title: Various SAR fractions in structural particleboards

description: The database contains the raw data of the selected mechanical (MOR, MOE, IB, SWR) and physical (density profiles, WA, TS) parameters of the structural particleboards with the different fractions of suberinic acid residues (SAR).
DOI: 10.5281/zenodo.7032327
title: Electronic appendix to: Spectral Induced Polarization (SIP) of Denitrification-Driven Microbial Activity in Column Experiments Packed with Calcareous Aquifer Sediments

description: This is the electronic appendix of the publication 
C. Strobel, S. Abramov, J. A. Huisman, O.A. Cirpka, A. Mellage (2022): Spectral Induced Polarization (SIP) of Denitrification-Driven Microbial Activity in Column Experiments Packed with Calcareous Aquifer Sediments (submitted)
DOI: 10.5281/zenodo.7032328
title: Electronic appendix to: Spectral Induced Polarization (SIP) of Denitrification-Driven Microbial Activity in Column Experiments Packed with Calcareous Aquifer Sediments

description: This is the electronic appendix of the publication 
C. Strobel, S. Abramov, J. A. Huisman, O.A. Cirpka, A. Mellage (2022): Spectral Induced Polarization (SIP) of Denitrification-Driven Microbial Activity in Column Experiments Packed with Calcareous Aquifer Sediments (submitted)
DOI: 10.15468/dl.c5b77z
title: Occurrence Download

description: A dataset listing the 7598 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is CZE",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 7598 records were derived from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020637-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehsqrf
title: Occurrence Download

description: A dataset containing 104029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ESP",
 "TaxonKey is Myiopsitta monachus (Boddaert, 1783)",
 "Year 1800-2023"
 ]
}

 The dataset includes 104029 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020640-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9crat
title: Occurrence Download

description: A dataset containing 853126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CZE",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 853126 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020642-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4nzts
title: Occurrence Download

description: A dataset containing 17934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "DatasetKey is one of (naturgucker, EOD – eBird Observation Dataset, Observation.org, Nature data from around the World, iNaturalist Research-grade Observations, Flora von Deutschland (Phanerogamen), Pl@ntNet automatically identified occurrences, Monitoring data from the federal state Hesse (Germany), Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany, Kinzigaue. Zoologische Untersuchungen 1999-2001, Teil 1. Naturwaldreservate in Hessen, Mainufer)",
 "GadmGid is DEU.7.14.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "PublishingOrg is one of (bb646dff-a905-4403-a49b-6d378c2cf0d9, e2e717bf-551a-4917-bdc9-4fa0f342c530, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, 43cab2b0-0653-11d9-acb2-b8a03c50a862, da86174a-a605-43a4-a5e8-53d484152cd3, b872b075-9ab5-4e27-b6c6-5add6b890379, 6e1cad80-bdf5-11d8-84ea-b8a03c50a862, 98dbab03-09e5-4ceb-988e-04f3e803decb, ef69a030-3940-11dd-b168-b8a03c50a862)"
 ]
}

 The dataset includes 17934 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020648-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bn2dsp
title: Occurrence Download

description: A dataset containing 10942 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Harmful Algal Event Database (HAEDAT)"
 ]
}

 The dataset includes 10942 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020651-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvh7qk
title: Occurrence Download

description: A dataset containing 3613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((122.46020031628888 36.312911834475486,126.46020031628888 36.312911834475486,126.46020031628888 40.312911834475486,122.46020031628888 40.312911834475486,122.46020031628888 36.312911834475486))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "Year 1736-2024"
 ]
}

 The dataset includes 3613 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020652-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.