cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gsdo2f
title: Occurrence Download

description: A dataset containing 5310572 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sturnus vulgaris"
 ]
}

 The dataset includes 5310572 records from 718 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039598-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ynsdr9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Brunelliaceae",
 "Year 1753-2023"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098440-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kf75fp
title: Occurrence Download

description: A dataset containing 104451 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chelonia mydas (Linnaeus, 1758)"
 ]
}

 The dataset includes 104451 records from 391 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295343-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqqx8h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ariathisa abyssinia (Guenée, 1852)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0369548-210914110416597/datasets/export for details.
DOI: 10.15468/dl.bmgvtb
title: Occurrence Download

description: A dataset containing 238045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-25 -40,60 -40,60 40,-25 40,-25 -40))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Muridae"
 ]
}

 The dataset includes 238045 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098444-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6411829
title: Word-to-word transcripts of the interviews/consultations on What do FNS-Cloud Food Researchers Want to Know?

description: Word to word transcripts of 11 semi-structured interviews carried out during the period April-October 2020 on 'What do FNS-Cloud Food Researchers Want to Know'. The notes were independently taken by the two interviewers during the interviews and combined to produce almost word-to-word transcripts of the interviews. Included in this Excel are also the questions addressed. The semi-guided interviews were undertaken to ensure the content validity of trainings for the FNS-Cloud community, and to reflect the training needs and preferences of FNS-Cloud project partners. Both interviewers (2 persons) and interviewed (15 persons) were food science professionals participating in the FNS-Cloud project (H2020 No. 863059). The Interviews, which lasted 30 minutes, aimed at identifying training needs and preferences related to open science and the use of the project datasets, tools and services: what partners want to learn, how they prefer to learn, and who are their ideal teachers. Inductive coding of the transcripts was done with the NVivo 12 Pro© software for qualitative analysis, following an iterative approach involving three researchers reviewing interview transcripts, codes, sub-codes, and coded phrases. The results of the qualitative analysis are presented in the paper: Teaching Open Science. What do FNS-Cloud Food Researchers Want to Know? presented at the 8th International Conference on Higher Education Advances (HEAd’22), HEAd'22 | June 14-17, 2022 · Valencia, Spain (headconf.org) and published as a Peer-reviewed article in the: Proceedings of the 8th International Conference on Higher Education Advances (HEAd’22) (includes DOI and ISBN)
DOI: 10.15468/dl.9r5es6
title: Occurrence Download

description: A dataset containing 3152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apuleia leiocarpa (Vogel) J.F.Macbr."
 ]
}

 The dataset includes 3152 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295364-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6411828
title: Word-to-word transcripts of the interviews/consultations on What do FNS-Cloud Food Researchers Want to Know?

description: Word to word transcripts of 11 semi-structured interviews carried out during the period April-October 2020 on 'What do FNS-Cloud Food Researchers Want to Know'. The notes were independently taken by the two interviewers during the interviews and combined to produce almost word-to-word transcripts of the interviews. Included in this Excel are also the questions addressed. The semi-guided interviews were undertaken to ensure the content validity of trainings for the FNS-Cloud community, and to reflect the training needs and preferences of FNS-Cloud project partners.


Both interviewers (2 persons) and interviewed (15 persons) were food science professionals participating in the FNS-Cloud project (H2020 No. 863059). The Interviews, which lasted 30 minutes, aimed at identifying training needs and preferences related to open science and the use of the project datasets, tools and services: what partners want to learn, how they prefer to learn, and who are their ideal teachers. 


Inductive coding of the transcripts was done with the NVivo 12 Pro© software for qualitative analysis, following an iterative approach involving three researchers reviewing interview transcripts, codes, sub-codes, and coded phrases. The results of the qualitative analysis are presented in the paper: Teaching Open Science. What do FNS-Cloud Food Researchers Want to Know? presented at the 8th International Conference on Higher Education Advances (HEAd’22), HEAd'22 | June 14-17, 2022 · Valencia, Spain (headconf.org) and published as a Peer-reviewed article in the: Proceedings of the 8th International Conference on Higher Education Advances (HEAd’22) (includes DOI and ISBN)
DOI: 10.5281/zenodo.8036827
title: Word-to-word transcripts of the interviews/consultations on What do FNS-Cloud Food Researchers Want to Know?

description: Word to word transcripts of 11 semi-structured interviews carried out during the period April-October 2020 on 'What do FNS-Cloud Food Researchers Want to Know'. The notes were independently taken by the two interviewers during the interviews and combined to produce almost word-to-word transcripts of the interviews. Included in this Excel are also the questions addressed. The semi-guided interviews were undertaken to ensure the content validity of trainings for the FNS-Cloud community, and to reflect the training needs and preferences of FNS-Cloud project partners.


Both interviewers (2 persons) and interviewed (15 persons) were food science professionals participating in the FNS-Cloud project (H2020 No. 863059). The Interviews, which lasted 30 minutes, aimed at identifying training needs and preferences related to open science and the use of the project datasets, tools and services: what partners want to learn, how they prefer to learn, and who are their ideal teachers. 


Inductive coding of the transcripts was done with the NVivo 12 Pro© software for qualitative analysis, following an iterative approach involving three researchers reviewing interview transcripts, codes, sub-codes, and coded phrases. The results of the qualitative analysis are presented in the paper: Teaching Open Science. What do FNS-Cloud Food Researchers Want to Know? presented at the 8th International Conference on Higher Education Advances (HEAd’22), HEAd'22 | June 14-17, 2022 · Valencia, Spain (headconf.org) and published as a Peer-reviewed article in the: Proceedings of the 8th International Conference on Higher Education Advances (HEAd’22) (includes DOI and ISBN)
DOI: 10.15468/dl.hue68t
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Borodinia macrophylla (Turcz.) O.E.Schulz"
 ]
}

 The dataset includes 98 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098430-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/hzfgzf
title: Colección biológica viva de primates monos nocturnos (Aotus l. griseimembra) - FUCEP- Valle del Cauca - Cali

description: La Fundación Centro de Primates (FUCEP), es el único Centro a nivel mundial que cuenta con una colonia estable de Aotus lemurinus griseimembra y un pequeño grupo de Saimiris sciureus, dedicados brindar respaldo a la experimentación biomédica y a su reproducción en cautiverio. La investigación biomédica está orientada al desarrollo de vacunas contra la malaria, enfermedad que afecta a más de 200 millones de habitantes del planeta y a cerca de 80.000 casos clínicos en Colombia, cada año. A pesar de los obstáculos biológicos y de infraestructura, la reproducción en cautiverio corresponde a una política de conservación de FUCEP. Además el centro procura el bienestar, ética y manejo humanizado de los animales de experimentación, cumpliendo con los estándares de las buenas prácticas de investigación biomédica, lo cual justifica la importancia de tener estas especies biológicas necesarias para los estudios pertinentes.
DOI: 10.15468/dl.dqm2cz
title: Occurrence Download

description: A dataset listing the 25766 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is Colombia",
 "Year 2019-2023"
 ]
}

 The dataset's 25766 records were derived from 637 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098409-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ssyjq
title: Occurrence Download

description: A dataset containing 281 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuora galbinifrons Bourret, 1939"
 ]
}

 The dataset includes 281 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295373-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aw8fjq
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Borya mirabilis Churchill"
 ]
}

 The dataset includes 25 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098443-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qdawd
title: Occurrence Download

description: A dataset containing 2076 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agrilus guerinii Lacordaire, 1835, Agrilus perrini Pic, 1905, Agrilus laticornis (Illiger, 1803), Agrilus obscuricollis Kiesenwetter, 1857)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 2076 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309371-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d49489
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxytropis pellita Bunge"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139346-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qr5g5w
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vernonia cryptocephala Baker"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028854-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xq2qf7
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxytropis globiflora Bunge"
 ]
}

 The dataset includes 128 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139340-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5g8jp
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cyphocharax vexillapinnus Vari, 1992)"
 ]
}

 The dataset includes 33 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014176-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dubb29
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis kelephus (Lynch, 1998)"
 ]
}

 The dataset includes 75 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0305498-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9keba
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxytropis platysema Schrenk"
 ]
}

 The dataset includes 19 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139352-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ku4vjg
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gopherus evgoodei Edwards, Karl, Vaughn, Rosen, Meléndez-Torres & Murphy, 2016"
 ]
}

 The dataset includes 49 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295361-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.348nmm
title: Occurrence Download

description: A dataset containing 2654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.44_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Prunus caroliniana (Mill.) Aiton"
 ]
}

 The dataset includes 2654 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010660-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12631557
title: KG2BAD CHU 3.330 MHz from April 8, 2024 Solar Eclipse

description: Radio: Yaesu FTDX10

GPS-disciplined: No

AGC: Off

Antenna: North-South

Lat/Lon:




32.722879
-96.846604




Notes:

I had to disconnect my system twice because of thunderstorms with serious lightning twice during the recording period. I also lost power while I was away from my station on Friday 4/12. I started recording again when I got home and learned power was lost and my computer had restarted.
DOI: 10.5281/zenodo.12631558
title: KG2BAD CHU 3.330 MHz from April 8, 2024 Solar Eclipse

description: Radio: Yaesu FTDX10

GPS-disciplined: No

AGC: Off

Antenna: North-South

Lat/Lon:




32.722879
-96.846604




Notes:

I had to disconnect my system twice because of thunderstorms with serious lightning twice during the recording period. I also lost power while I was away from my station on Friday 4/12. I started recording again when I got home and learned power was lost and my computer had restarted.
DOI: 10.5281/zenodo.12636697
title: Dataset for Interannual and seasonal variability of the air-sea CO2 exchange at Utö in the coastal region of the Baltic Sea

description: Uto Atmospheric and Marine Research StationFinnish Meteorological Institute and Finnish Environment Institute

Data Jan 2017 - Dec 2021

 

Data used in:Honkanen, M., Aurela, M., Hatakka, J., Haraguchi, L., Kielosto, S., Mäkelä, T., Seppälä, J., Siiriä, S.-M., Stenbäck, K., Tuovinen, J.-P., Ylöstalo, P., and Laakso, L.: Interannual and seasonal variability of the air-sea CO2 exchange at Utö in the coastal region of the Baltic Sea, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-628, 2024.

 

This research has been supported by the Research Council of Finland project SEASINK (Evolving carbon sinks and sources in coastalseas – will ecosystem response temper or aggravate climate change? project nos. 317297 and 317298), and the JERICO-NEXT and JERICO-S3 projects which have received funding from the European Union Horizon 2020 Research and Innovation Program under grant agreement nos. 654410 and 871153, respectively.
DOI: 10.5281/zenodo.12636698
title: Dataset for Interannual and seasonal variability of the air-sea CO2 exchange at Utö in the coastal region of the Baltic Sea

description: Uto Atmospheric and Marine Research StationFinnish Meteorological Institute and Finnish Environment Institute

Data Jan 2017 - Dec 2021

 

Data used in:Honkanen, M., Aurela, M., Hatakka, J., Haraguchi, L., Kielosto, S., Mäkelä, T., Seppälä, J., Siiriä, S.-M., Stenbäck, K., Tuovinen, J.-P., Ylöstalo, P., and Laakso, L.: Interannual and seasonal variability of the air-sea CO2 exchange at Utö in the coastal region of the Baltic Sea, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-628, 2024.

 

This research has been supported by the Research Council of Finland project SEASINK (Evolving carbon sinks and sources in coastalseas – will ecosystem response temper or aggravate climate change? project nos. 317297 and 317298), and the JERICO-NEXT and JERICO-S3 projects which have received funding from the European Union Horizon 2020 Research and Innovation Program under grant agreement nos. 654410 and 871153, respectively.
DOI: 10.15468/dl.z9eqwg
title: Occurrence Download

description: A dataset containing 12147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arabidopsis thaliana (L.) Heynh."
 ]
}

 The dataset includes 12147 records from 359 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010661-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12636771
title: IC data from Drakopoulos et al., 2024

description: This dataset contains the inferior colliculus (IC) recordings that were used to evaluate the ICNet model in Drakopoulos et al., 2024. The code of the ICNet model is available via https://doi.org/10.5281/zenodo.11943090 or https://github.com/fotisdr/ICNet. A Jupyter notebook is included with a simple usage example for ICNet. 



Drakopoulos, F., Sabesan, S., Xia, Y., Fragner, A. & Lesica, N. A. (2024). Modeling neural coding in the auditory brain with high resolution and accuracy. bioRxiv 2024.06.17.599294; doi: 10.1101/2024.06.17.599294


Sound

The sound_data matfile can be accessed on MATLAB or Python and contains a structure with the 4 sounds that were used in model evaluation and elicited the responses in IC_data. Each sound segment is 30 s in duration and is calibrated with a 2e-5 Pa reference:



speech_in_quiet: A speech segment from the UCL SCRIBE dataset consisting of sentences spoken by a male talker and presented at 60 dB SPL.

speech_in_noise: A speech segment from the UCL SCRIBE dataset consisting of sentences spoken by a female talker and presented at 85 dB SPL. The speech segment was mixed in hallway noise from the Microsoft Scalable Noisy Speech dataset at 0 dB SNR.

moving_ripples: Dynamic moving ripples with frequency sinusoids between 4.7 kHz and 10.8 kHz presented at 85 dB SPL.

music: Three seconds from each of 10 mixed pop songs from the musdb18 dataset presented at 75 dB SPL.

fs: The sampling rate of the sounds (24414.0625 Hz).


IC recordings

The IC_data_trial1 and IC_data_trial2 matfiles contain the IC activity elicited by each of the 4 sounds on two successive trials. Each matfile contains a structure with 7 fields:



speech_in_quiet, speech_in_noise, moving_ripples and music: Recorded neural activity for 7 animals in response to each of the 4 sounds. Each field corresponds to a matrix of size [animals x time bins x channels] that contains multi-unit spikes across time bins and channels for each of the 7 animals. Each time element of the matrix indicates the spike count in one 1.3 ms bin (exactly 32 samples of the corresponding audio). 

animals: The experimental identifier of each animal as used in the ICNet model (numbers of [3,...,9]).

channel_CFs: An [animals x channels] matrix that contains the characteristic frequencies (in Hz) of each recorded unit for each of the 7 animals.

measurement_times: An [animals x sounds] matrix that contains the relative times (in s) at which each sound was recorded during each individual IC experiment. The experimental times were used as the time inputs in each corresponding decoder branch of ICNet.

fs: The sampling rate of the recorded multi-unit activity (24414.0625 / 32 = 762.9395 Hz). 


 

For questions, please reach out to one of the corresponding authors:



Fotios Drakopoulos: f.drakopoulos@ucl.ac.uk

Nicholas A Lesica: n.lesica@ucl.ac.uk




This work was supported by EPSRC EP/W004275/1 and MRC MR/W019787/1.