cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14759798
title: Cecelia: a multifunctional image analysis toolbox for decoding spatial cellular interactions and behaviour

description: This repository contains the source image data from Figures 2 and 4 of our paper (https://doi.org/10.1038/s41467-025-57193-y).
description: With the ever-increasing complexity of microscopy modalities, it is imperative to have computational workflows that enable researchers to process and perform in-depth quantitative analysis of the resulting images. However, workflows that allow flexible, interactiveand intuitive analysis from raw images to analysed data are lacking for many experimental use-cases. Notably, integrated software solutions for analysis of complex 3D and live cell images are sorely needed. To address this, we present Cecelia, a toolbox that integrates various open-source packages into a coherent data management suite to make quantitative multidimensional image analysis accessible for non-specialists. We describe the application of Cecelia to several immunologically relevant scenarios and the development of an unbiased approach to distinguish dynamic cell behaviours from live imaging data. Cecelia is available as asoftware package with a Shiny app interface (https://github.com/schienstockd/cecelia). We envision that this framework and its approaches will be of broad use for biological researchers.
DOI: 10.15468/dl.pduu57
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dicranostigma leptopodum (Maxim.) Fedde"
 ]
}

 The dataset includes 82 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004044-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5h3bv
title: Occurrence Download

description: A dataset containing 5690 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhus chinensis Mill."
 ]
}

 The dataset includes 5690 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004045-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xagxwm
title: Occurrence Download

description: A dataset containing 62708 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mastomys Thomas, 1915"
 ]
}

 The dataset includes 62708 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004041-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7tn8d
title: Occurrence Download

description: A dataset containing 6367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 },
 "TaxonKey is Equus hemionus Pallas, 1775"
 ]
}

 The dataset includes 6367 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004046-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssvfz8
title: Occurrence Download

description: A dataset containing 2876 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mycalesis horsfieldii (Moore)"
 ]
}

 The dataset includes 2876 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004049-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrqesv
title: Occurrence Download

description: A dataset containing 5497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acer davidii Franch."
 ]
}

 The dataset includes 5497 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004050-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dg7x5r
title: Occurrence Download

description: A dataset containing 5655809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "KingdomKey is Plantae",
 "Country is Colombia"
 ]
}

 The dataset includes 5655809 records from 1534 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004039-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1046232.10fu
title: SH1046232.10FU

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: 10.15156/bio/sh1046234.10fu
title: SH1046234.10FU

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: 10.15156/bio/sh1046237.10fu
title: SH1046237.10FU

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: 10.15156/bio/sh1046250.10fu
title: SH1046250.10FU

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: 10.15156/bio/sh1046253.10fu
title: SH1046253.10FU

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: 10.15156/bio/sh1046254.10fu
title: SH1046254.10FU

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: 10.15156/bio/sh1046257.10fu
title: SH1046257.10FU

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: 10.15156/bio/sh1046259.10fu
title: SH1046259.10FU

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: 10.3886/e242431v1
title: College of Nursing Sciences, Yola, Adamawa 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: College of Nursing Sciences, Yola, Adamawa 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.15468/dl.uybqvj
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "Country is Netherlands",
 "Geometry POLYGON((5.99137 51.99321,5.98357 52.00601,5.954 52.00836,5.89752 52.00705,5.86942 51.99614,5.871 51.99429,5.87553 51.98794,5.87871 51.98526,5.89199 51.98061,5.89714 51.97096,5.85967 51.96937,5.82834 51.96101,5.83047 51.94197,5.90319 51.93276,5.90923 51.94365,5.9292 51.93082,5.92707 51.92496,5.94242 51.91677,5.95651 51.90925,5.96646 51.91914,5.93093 51.95066,5.93399 51.96778,5.98629 51.97517,5.99137 51.99321))",
 "TaxonKey is Accipiter nisus",
 "Year 2014-2014"
 ]
}

 The dataset includes 35 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073684-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242430v1
title: St. Anthony College of Nursing Sciences, Aba 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: St. Anthony College of Nursing Sciences, Aba 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.7910/dvn/qoscoa
title: Happy twin primes (sequence)

description: This dataset is a sequence of happy twin primes. I raise the question of whether there are infinitely many such primes.
DOI: 10.3886/e242429v1
title: College of Nursing Sciences, Obahia-Ndoki 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: College of Nursing Sciences, Obahia-Ndoki 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.15468/dl.s3dbpw
title: Occurrence Download

description: A dataset containing 179958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum catharticum)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 179958 records from 1072 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073669-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242435v1
title: College of Nursing Sciences, Iquita-Oron, Akwa Ibom 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: College of Nursing Sciences, Iquita-Oron, Akwa Ibom 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.15468/dl.k73g52
title: Occurrence Download

description: A dataset containing 4894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hipparchia fagi",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 4894 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073686-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/tgyd1i
title: Replication Data for: Does corruption undermine green manufacturing? Regional evidence from India

description: This document provides a step-by-step guide to replicating the data analysis conducted in the paper titled “Does corruption undermine green manufacturing? Regional evidence from India” by Vaishnavi and Gopal Krishna Roy. Replication of the analysis in Stata can be carried out using the steps described in the Read Me file.
DOI: 10.3886/e242427v1
title: College of Nursing Sciences, Abiriba, Abia 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: College of Nursing Sciences, Abiriba, Abia 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.3886/e242428v1
title: Archbishop Charles Heerey College of Nursing Sciences, Aba 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: Archbishop Charles Heerey College of Nursing Sciences, Aba 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.15468/dl.556pdv
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum littorale)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073688-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242438v1
title: College of Nursing Sciences, Adazi-Nnukwu, Anambra 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: College of Nursing Sciences, Adazi-Nnukwu, Anambra 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.3886/e242437v1
title: College of Nursing Sciences, Eket, Akwa 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: College of Nursing Sciences, Eket, Akwa 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.3886/e242436v1
title: College of Nursing Sciences, Ikot-Ekpene, Akwa Ibom 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: College of Nursing Sciences, Ikot-Ekpene, Akwa Ibom 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.3886/e242442v1
title: College of Nursing Sciences, COOUTH, Nkpor 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: College of Nursing Sciences, COOUTH, Nkpor 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.5281/zenodo.18148405
title: Above-canopy precipitation measurements at Hartheim Forest Research Site (DE-Har) from 2025-01-01 to 2025-12-31 [L2]

description: Quality controlled and gap-filled continuous precipitation measurements above the forest canopy at Hartheim Forest Research Site (ICOS Associate Ecosystem Site DE-Har, UFR Code: HARTHM, 7.59814ºE, 47.93391ºN, 201 m) measured using a heated ombrometer Model 5.4031 (Adolf Thies GmbH & Co. KG, Göttingen, Germany). The ombrometer is operated on a 18 m tower just above the top of the canopy.



Quality controlled above-canopy precipitation data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2025.

Precipitation sums are provided on hourly, daily, monthly and annual scales.

Number of hours with precipitation >0.1 mm/hr, >1 mm/hr, >2.5 mm/hr, >5 mm/hr, >10 mm/hr, >20 mm/hr, and > 50 mm/hr provided on daily, monthly, and annual scale.

Number of days with precipitation >0.1 mm/day, >1 mm/day, >2.5 mm/day, >5 mm/day, >10 mm/day, >20 mm/day and >50 mm/day provided on monthly, and annual scale.

Precipitation does not distinguish between form (e.g. snow vs. rain)

Detailed information on gap-filled data is provided.

Note: All times are provided in UTC, not local time.


For more details read `HARTHM_2025_Precipitation_MetaData.txt`.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work was created by the University of Freiburg, Germany.

ATTRIBUTION

The site is operated as part of the Integrated Carbon Observation System (ICOS).

Instruments and sensors in the dataset were operated by the Chair of Environmental Meteorology, University of Freiburg, Germany.

DISCLAIMER

The use of the work is at the user's own risk. The authors and/or the involved institutions, accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The author and/or the involved institutions are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Hartheim Forest Research Site

DE-Har in the ICOS Carbon Portal