cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9ws3n3
title: Occurrence Download

description: A dataset containing 3124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Corynocarpus laevigatus J.R.Forst. & G.Forst.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3124 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000581-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j64cer
title: Occurrence Download

description: A dataset containing 41144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amelanchier ×lamarckii F.G.Schroed.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41144 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000580-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14916857
title: BioDiv_BW_Environmental data_Soil temperature 2024

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

On the 15 BioDiv plots, soil temperature and moisture was continuously recorded between April and September 2024, using TOMST TMS-4 loggers. The temperature measurements are given in degrees Celsius.
DOI: 10.5281/zenodo.14937405
title: Raw data file-Del Burgo-Gutiérrez et al., Piquillo urine
DOI: 10.5281/zenodo.14937406
title: Raw data file-Del Burgo-Gutiérrez et al., Piquillo urine
DOI: 10.5281/zenodo.13795732
title: Maximizing NMR Sensitivity: A Guide to Receiver Gain Adjustment

description: Title: Maximizing NMR Sensitivity: A Guide to Receiver Gain AdjustmentJournal: NMR in BiomedicineAuthors: Josh P. Peters, Jan-Bernd Hövener and Andrey N. Pravdivtsev

The python script is provided: "SNR_script.py"All neccessary information about its usage is provided in the script.

The data is organized with respect to the main figures 1 to 4 and SI figure S1.A description of acquisition parameters and conditions is provided here or in the manuscript text.

Figure 1:- Overflow experiments of 1H and BB-channel.

Figure 2 & 3:- Receiver gain sweep data with signal and SNR maps.A list of the corresponding experiment IDs and RG values can be found in "Combined_analysis.xlsx"The extracted SNR and signal values are provided there as well.

Figure 4:- Alternating RG starting with RG 18 (17) followed by RG 0.25 (18) and so on. A 5° pulse was used.The thermal was acquired with 1 average, RG 18 and a 90° pulse.

Figure S1:- Constant signal experiment with varying pulse and receiver gain. Details can be found in Supporting information.A list of the corresponding experiment IDs and RG values can be found in "Combined_analysis.xlsx"
description: Nuclear magnetic resonance is revolutionizing in parallel with the development of methodology and all electronics and hardware around it. The primary objective of such modifications is to make the system more reliable and sensitive. Almost a decade ago, Bruker introduced an Avance NEO console with an extended dynamic range of the receiver gain (RG). The system offered a maximum sensitivity even at very low RG. This feature is handy in the case of hyperpolarization when too much signal can cause clipping of the free induction decay signal. We analyzed the RG profile for our spectrometer's 1H, 2H, 13C, and 15N nuclei and found non-monotonous sensitivity behavior characterized by signal-to-noise ratio (SNR). For example, 13C SNR at RG = 18 is 5.5% higher than SNR at maximum RG = 101 and 51.6% higher than at RG = 20.2. Having found this, we advertise here that other NMR users using any spectrometer should calibrate their SNR(RG) and find the RG value right for their experiments, as automatic RG adjustment does not know about the actual performance of each system. We offer a tool and strategy for such an optimization and exemplify the benefits of using SNR-adjusted RG value with hyperpolarized [1-13C]pyruvate measurements.
description: We acknowledge funding from German Federal Ministry of Education and Research (BMBF) within the framework of the e:Med research and funding concept (01ZX1915C, 03WIR6208A hyperquant), DFG (PR 1868/3-1, PR 1868/5-1, HO-4602/2-2, HO-4602/3, HO-4602/4, EXC2167, FOR5042, TRR287). MOIN CC was founded by a grant from the European Regional Development Fund (ERDF) and the Zukunftsprogramm Wirtschaft of Schleswig-Holstein (Project no. 122-09-053).
DOI: 10.15468/dl.q2pk3n
title: Occurrence Download

description: A dataset containing 582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Manihot grahamii Hook.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 582 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000584-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14944710
title: Car_Insurance_Claim
DOI: 10.5281/zenodo.14944711
title: Car_Insurance_Claim
DOI: 10.5281/zenodo.14930490
title: BioDiv_BW_Environmental data_Air temperature and humidity 2021

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

On the 15 BioDiv plots, air temperature and moisture was continuously recorded between April and September 2021, using Tinytag TGP-4500 Temperature and humidity data loggers (Gemini Data Loggers). 

Please note: Due to technical problems, only the data for 9 of the 15 plots are available for 2021.
DOI: 10.5281/zenodo.14930489
title: BioDiv_BW_Environmental data_Air temperature and humidity 2021

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

On the 15 BioDiv plots, air temperature and moisture was continuously recorded between April and September 2021, using Tinytag TGP-4500 Temperature and humidity data loggers (Gemini Data Loggers). 

Please note: Due to technical problems, only the data for 9 of the 15 plots are available for 2021.
DOI: 10.15468/dl.6g88ga
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Barilius gatensis (Valenciennes, 1844)"
 ]
}

 The dataset includes 51 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000585-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58132/hiepol
title: Próbki danych multimodalnych - projekt Badanie mowy zaburzonej i funkcji prymarnych za pomocą artykulografu CARSTENS AG501 i analizatora rozkładu pola akustycznego

description: Próbki danych z multimodalnego korpusu powstającego w ramach projektu NCN OPUS pn. Badanie mowy zaburzonej i funkcji prymarnych za pomoca artykulografu CARSTENS AG501 i analizatora rozkladu pola akustycznego (Nr rej. 2021/43/B/HS2/00162, Identyfikator 533909), okres realizacji projektu 2022-2026. Każda z udostępnionych próbek obejmuje zestaw plików w formatach: anotacja - segmentacja i transkrypcja, Annotation Pro (.ANTx, XML-based)anotacja - segmentacja i transkrypcja, Praat (.TextGrid)pozycje sensorów artykulografu Carstens AG 501 (.TXT)tekst wypowiedzi, prompt (.TXT)W związku z ograniczeniami wynikającymi z ochrony danych osobowych, powiązane pliki multimedialne w formatach WAV i MP4 są dostępne wyłącznie dla wykonawców projektu.Więcej informacji w pliku udostępnionym: Dokumentacja - próbki danych multimodalnych w Repozytorium UW.PDF
DOI: 10.5281/zenodo.14930829
title: BioDiv_BW_Environmental data_Air temperature and humidity 2022

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

On the 15 BioDiv plots, air temperature and moisture was continuously recorded between April and September 2022, using Tinytag TGP-4500 Temperature and humidity data loggers (Gemini Data Loggers).
DOI: 10.5281/zenodo.14930830
title: BioDiv_BW_Environmental data_Air temperature and humidity 2022

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

On the 15 BioDiv plots, air temperature and moisture was continuously recorded between April and September 2022, using Tinytag TGP-4500 Temperature and humidity data loggers (Gemini Data Loggers).
DOI: 10.15468/dl.be5b6b
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pteris tripartita Sw.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 217 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000593-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9t9mv
title: Occurrence Download

description: A dataset containing 3005 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Roldana petasitis (Sims) H.Rob. & Brettell)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3005 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000595-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14930954
title: BioDiv_BW_Environmental data_Air temperature and humidity 2023

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

On the 15 BioDiv plots, air temperature and moisture was continuously recorded between April and September 2023, using Tinytag TGP-4500 Temperature and humidity data loggers (Gemini Data Loggers).
DOI: 10.5281/zenodo.14930955
title: BioDiv_BW_Environmental data_Air temperature and humidity 2023

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

On the 15 BioDiv plots, air temperature and moisture was continuously recorded between April and September 2023, using Tinytag TGP-4500 Temperature and humidity data loggers (Gemini Data Loggers).
DOI: 10.15151/esrf-es-2047159558
title: Messengers from deep Earth: a full-field XRF study of fluid-bearing inclusions in natural micro-diamonds

description: Recently, a large number of inclusions of hydroxyl members of the humite group were discovered in a unique set of ~100 micronsized
diamonds. These hydrated phases might play a crucial role in the distribution of key volatiles in Earth’s mantle. While the hosts for
mantle water in the transition zone are relatively well understood, there is a wider variety of potential hydrated phases in the upper mantle.
However, until the discovery of the diamonds that are the subject of this proposal, little evidence for the existence of hydrous phases beyond
phlogopite and amphibole had been found. Studying hydrous minerals in upper mantle assemblages is thus vital for enhancing our
understanding of water transport and storage in the upper mantle. This project will address the complex nature of dense hydrated minerals
and their coexisting phases and fluids by determining their major and trace-element composition.
DOI: 10.5281/zenodo.14944109
title: Experimental data and scripts for "pH dependent ultrafast photodynamics of p-hydroxyphenacyl: Deprotonation accelerates the photo-uncaging reaction"

description: This dataset contains the data and python scripts used to generate the figures in the publication:  "pH dependent ultrafast photodynamics of p-hydroxyphenacyl: Deprotonation accelerates the photo-uncaging reaction"
DOI: 10.5281/zenodo.14944110
title: Experimental data and scripts for "pH dependent ultrafast photodynamics of p-hydroxyphenacyl: Deprotonation accelerates the photo-uncaging reaction"

description: This dataset contains the data and python scripts used to generate the figures in the publication:  "pH dependent ultrafast photodynamics of p-hydroxyphenacyl: Deprotonation accelerates the photo-uncaging reaction"
DOI: 10.5281/zenodo.14931397
title: BioDiv_BW_Environmental data_Air temperature and humidity 2024

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

On the 15 BioDiv plots, air temperature and moisture was continuously recorded between April and September 2024, using Tinytag TGP-4500 Temperature and humidity data loggers (Gemini Data Loggers).
DOI: 10.5281/zenodo.14931396
title: BioDiv_BW_Environmental data_Air temperature and humidity 2024

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

On the 15 BioDiv plots, air temperature and moisture was continuously recorded between April and September 2024, using Tinytag TGP-4500 Temperature and humidity data loggers (Gemini Data Loggers).
DOI: 10.5281/zenodo.14936471
title: BioDiv_BW_Biodiversity_1Night_LightTraps_Lepidoptera_2022

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

Lepidoptera were caught with light traps, as part of one-night-sampling. Samples were weighed and biomass is given in gramms. Species determination was done by a taxonomist. 

One-night-samplings comprised light traps for insects, batcoders and small mammal camera traps and were done four times in field season 2022 (see dates below) on 15 BioDiv-Plots in the Bavarian Forest National park (Set 2).
DOI: 10.5281/zenodo.14936472
title: BioDiv_BW_Biodiversity_1Night_LightTraps_Lepidoptera_2022

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

Lepidoptera were caught with light traps, as part of one-night-sampling. Samples were weighed and biomass is given in gramms. Species determination was done by a taxonomist. 

One-night-samplings comprised light traps for insects, batcoders and small mammal camera traps and were done four times in field season 2022 (see dates below) on 15 BioDiv-Plots in the Bavarian Forest National park (Set 2).
DOI: 10.5281/zenodo.14936362
title: BioDiv_BW_Biodiversity_1Night_LightTraps_Lepidoptera_2021

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

Lepidoptera were caught with light traps, as part of one-night-sampling. Species determination was done by a taxonomist. 

One-night-samplings comprised light traps for insects, batcoders and small mammal camera traps and were done four times in field season 2021 (see dates below) on 15 BioDiv-Plots in the Bavarian Forest National park (Set 1).
DOI: 10.5281/zenodo.14936361
title: BioDiv_BW_Biodiversity_1Night_LightTraps_Lepidoptera_2021

description: BioDiv is the continuous longterm biodiversity monitoring of the Bavarian national parks. The data is available for each year since 2021.

Lepidoptera were caught with light traps, as part of one-night-sampling. Species determination was done by a taxonomist. 

One-night-samplings comprised light traps for insects, batcoders and small mammal camera traps and were done four times in field season 2021 (see dates below) on 15 BioDiv-Plots in the Bavarian Forest National park (Set 1).
DOI: 10.15468/dl.8d4pq3
title: Occurrence Download

description: A dataset containing 104498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.08781 37.70069,-7.93446 37.70069,-7.93446 37.86289,-8.08781 37.86289,-8.08781 37.70069))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 104498 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000583-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t39fda
title: Occurrence Download

description: A dataset containing 41649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia trifida L."
 ]
}

 The dataset includes 41649 records from 499 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000596-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1062255.10fu
title: SH1062255.10FU

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/sh1062257.10fu
title: SH1062257.10FU

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/sh1062266.10fu
title: SH1062266.10FU

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/sh1062267.10fu
title: SH1062267.10FU

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/sh1062269.10fu
title: SH1062269.10FU

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.