cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13898624
title: An axonal brake on striatal dopamine output  by cholinergic interneurons

description: ABSTRACT

Depolarisation of distal axons is necessary for somatic action potentials to be translated into axonal neurotransmitter release. Here, we show that activation of striatal cholinergic interneurons (ChIs) and nicotinic receptors (nAChRs) on mouse DA axons transiently prevents the release of dopamine (DA) by subsequent stimuli for ~100 ms. Previous studies have shown that nAChRs on DA axons can drive ectopic action potentials in DA axons to trigger DA release. We demonstrate ex vivo that a lower level of activation of ChIs is needed to suppress DA release than to trigger it, an effect that is not due to DA depletion, but to restricted re-activation of DA axons. This axonal brake on DA output is stronger and more persistent in dorsal than ventral striatum.  In vivo, we reveal a predominant depression of DA release by endogenous acetylcholine, as antagonism of nAChRs in dorsal striatum conversely elevated tonic DA detected with optic-fibre photometry of GRABDA2m sensor and promoted conditioned place-preference. Our findings reveal that ChIs acting via nAChRs limit activation of DA axons by subsequent DA neuron activity, uncoupling DA axons from ascending action potentials and generating a dynamic inverse scaling of DA release according to ChI activity.

 

FILE DESCRIPTIONS

This repository contains the following files:



Key Resources Table (.xlsx) - Table containing details on key resources (antibodies, mouse lines, virus strains, and software), and the persistent identifiers for protocols and code used and generated in this study. 

Source Data Folder (.zip):



_README_Source_Data (.txt) with detailed information about each dataset.

Individual tabular datasets corresponding to panels shown in the Main Figures 1 to 5 (.csv).

Excel spreadsheet containing all tabular datasets plotted in Main Figures 1 to 5 (.xlsx)



Supplementary Data Folder (.zip):



_README_Supplementary_Data (.txt) with detailed information about each dataset.

Individual tabular datasets corresponding to panels shown in the Supplementary Figures 1 to 6 (.csv).

Excel spreadsheet containing all tabular datasets plotted in Supplementary Figures 1 to 6  (.xlsx)
DOI: 10.5281/zenodo.13898625
title: An axonal brake on striatal dopamine output  by cholinergic interneurons

description: ABSTRACT

Depolarisation of distal axons is necessary for somatic action potentials to be translated into axonal neurotransmitter release. Here, we show that activation of striatal cholinergic interneurons (ChIs) and nicotinic receptors (nAChRs) on mouse DA axons transiently prevents the release of dopamine (DA) by subsequent stimuli for ~100 ms. Previous studies have shown that nAChRs on DA axons can drive ectopic action potentials in DA axons to trigger DA release. We demonstrate ex vivo that a lower level of activation of ChIs is needed to suppress DA release than to trigger it, an effect that is not due to DA depletion, but to restricted re-activation of DA axons. This axonal brake on DA output is stronger and more persistent in dorsal than ventral striatum.  In vivo, we reveal a predominant depression of DA release by endogenous acetylcholine, as antagonism of nAChRs in dorsal striatum conversely elevated tonic DA detected with optic-fibre photometry of GRABDA2m sensor and promoted conditioned place-preference. Our findings reveal that ChIs acting via nAChRs limit activation of DA axons by subsequent DA neuron activity, uncoupling DA axons from ascending action potentials and generating a dynamic inverse scaling of DA release according to ChI activity.

 

FILE DESCRIPTIONS

This repository contains the following files:



Key Resources Table (.xlsx) - Table containing details on key resources (antibodies, mouse lines, virus strains, and software), and the persistent identifiers for protocols and code used and generated in this study. 

Source Data Folder (.zip):



_README_Source_Data (.txt) with detailed information about each dataset.

Individual tabular datasets corresponding to each panel shown in the Main Figures 1 to 6 (.csv).

Excel spreadsheet containing all tabular datasets plotted in Main Figures 1 to 6 (.xlsx)



Supplementary Data Folder (.zip):



_README_Supplementary_Data (.txt) with detailed information about each dataset.

Individual tabular datasets corresponding to each panel shown in the Supplementary Figures (.csv).

Excel spreadsheet containing all tabular datasets plotted in Supplementary Figures  (.xlsx)
DOI: 10.5281/zenodo.14833273
title: An axonal brake on striatal dopamine output  by cholinergic interneurons

description: ABSTRACT

Depolarisation of distal axons is necessary for somatic action potentials to be translated into axonal neurotransmitter release. Here, we show that activation of striatal cholinergic interneurons (ChIs) and nicotinic receptors (nAChRs) on mouse DA axons transiently prevents the release of dopamine (DA) by subsequent stimuli for ~100 ms. Previous studies have shown that nAChRs on DA axons can drive ectopic action potentials in DA axons to trigger DA release. We demonstrate ex vivo that a lower level of activation of ChIs is needed to suppress DA release than to trigger it, an effect that is not due to DA depletion, but to restricted re-activation of DA axons. This axonal brake on DA output is stronger and more persistent in dorsal than ventral striatum.  In vivo, we reveal a predominant depression of DA release by endogenous acetylcholine, as antagonism of nAChRs in dorsal striatum conversely elevated tonic DA detected with optic-fibre photometry of GRABDA2m sensor and promoted conditioned place-preference. Our findings reveal that ChIs acting via nAChRs limit activation of DA axons by subsequent DA neuron activity, uncoupling DA axons from ascending action potentials and generating a dynamic inverse scaling of DA release according to ChI activity.

 

FILE DESCRIPTIONS

This repository contains the following files:



Key Resources Table (.xlsx) - Table containing details on key resources (antibodies, mouse lines, virus strains, and software), and the persistent identifiers for protocols and code used and generated in this study. 

Source Data Folder (.zip):



_README_Source_Data (.txt) with detailed information about each dataset.

Individual tabular datasets corresponding to panels shown in the Main Figures 1 to 5 (.csv).

Excel spreadsheet containing all tabular datasets plotted in Main Figures 1 to 5 (.xlsx)



Supplementary Data Folder (.zip):



_README_Supplementary_Data (.txt) with detailed information about each dataset.

Individual tabular datasets corresponding to panels shown in the Supplementary Figures 1 to 6 (.csv).

Excel spreadsheet containing all tabular datasets plotted in Supplementary Figures 1 to 6  (.xlsx)
DOI: 10.60905/0jjwjf
title: Carga morbilidad 2010-2016
title: Attributable Burden Disease to PM2.5 ambient Air Pollution

description: La Base de Datos contiene la informaci��n que permite el c��lculo de los A��os de Vida Perdidos, los A��os de Vida con Invalidez y los A��os de Vida Ajustados con Invalidez y el respectivo diccionario de las variables
description: The Databaset contains the information that allows the calculation of the Years of Life Lost, the Years of Life with Disability and the Years of Life Adjusted with Disability and the respective dictionary of the variables
description: The environmental data needed to replicate these analyses are publicly available at https://siata.gov.co/descarga_siata/index.php/Index2/

The health data needed to replicate these analyses are publicly available at https://www.sispro.gov.co/Pages/Home.aspx

The environmental health data needed to replicate these analyses are publicly available at https://datosabiertos.metropol.gov.co/search/field_topic/medio-ambiente-3
DOI: 10.24400/527896/a01-2024-015
title: VENUS Level-2 Marine Reflectances

description: Marine reflectances from the VENUS mission, processed with the Polymer algorithm, on a subset of sites with coastal or inland areas.
DOI: 10.5281/zenodo.14452152
title: Data for Intrinsic DAC calculations

description: Results of calculations and simulations for the Intrinsic Direct Air Capture analysis of Metal Organic Framwork (MOF) sorbents.

Includes Grand Canonical Monte Carlo (GCMC) simulations, predictions of the Specific Heat Capacities (CV), and Intrinsic Direct Air Capture (DAC) calculations for MOF sorbents.
DOI: 10.5281/zenodo.14833625
title: Soil microstructure and carbon cycling
DOI: 10.5281/zenodo.14833626
title: Soil microstructure and carbon cycling
DOI: 10.15468/dl.bzhzae
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Côte d’Ivoire",
 "TaxonKey is Ceiba pentandra (L.) Gaertn.",
 "Year 1975-2025"
 ]
}

 The dataset includes 81 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019676-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14833567
title: Open Research Data for "Do Tropical Cyclone Outer Size Forecasts Improve Simultaneously with Intensity Forecasts?" 1.0

description: The simulated intensity (maximum wind speed, kts) and outer size (R34, nmi) in each quadrant of fifteen selected North Atlantic hurricanes from GFSv16, SHiELD, TSHiELD HAFS-A, and HWRF. The "aalxx-xxxx.dat" file is named by the hurricane number and corresponding year. In each aalxx-xxxx.dat, the codes for every model are: AVNO (GFSv16), SHiELD (F226), T-SHiELD (T22I), HAFS-A(HFSA), and HWRF (HWRF).  

The simulated intensity and size are obtained from the model outputs using the GFDL vortex tracker. The wind profiles are uniformly interpolated onto a 3-km-resolution grid despite the varying resolutions across these models (Marchok 2021). 

Marchok, T. (2021). Important Factors in the Tracking of Tropical Cyclones in Operational Models. J. Appl. Meteor. Climatol., 60 , 1265–1284.
DOI: 10.5281/zenodo.14833568
title: Open Research Data for "Do Tropical Cyclone Outer Size Forecasts Improve Simultaneously with Intensity Forecasts?" 1.0

description: The simulated intensity (maximum wind speed, kts) and outer size (R34, nmi) in each quadrant of fifteen selected North Atlantic hurricanes from GFSv16, SHiELD, TSHiELD HAFS-A, and HWRF. The "aalxx-xxxx.dat" file is named by the hurricane number and corresponding year. In each aalxx-xxxx.dat, the codes for every model are: AVNO (GFSv16), SHiELD (F226), T-SHiELD (T22I), HAFS-A(HFSA), and HWRF (HWRF).  

The simulated intensity and size are obtained from the model outputs using the GFDL vortex tracker. The wind profiles are uniformly interpolated onto a 3-km-resolution grid despite the varying resolutions across these models (Marchok 2021). 

Marchok, T. (2021). Important Factors in the Tracking of Tropical Cyclones in Operational Models. J. Appl. Meteor. Climatol., 60 , 1265–1284.
DOI: 10.5281/zenodo.14833692
title: Estadisticas jugadores
DOI: 10.5281/zenodo.14833693
title: Estadisticas jugadores
DOI: 10.15468/dl.hvzf34
title: Occurrence Download

description: A dataset containing 7129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is Royal Botanic Gardens, Kew - Fungarium Specimens",
 "TaxonKey is one of (Microsphaera Lév., Erysiphe R.Hedw. ex DC., 1805, Albigo Ehrh. ex Steud., Blumeria Golovin ex Speer, 1975, Brasiliomyces Viégas, 1944, Calocladia, Cystotheca Berk. & M.A.Curtis, 1860, Desetangsia, Erysiphella C.H.Peck, 1876, Erysiphopsis Spegazzini, 1910, Erysiphopsis Halsted, 1899, Golovinomyces (U.Braun) V.P.Heluta, Golovinomyces (U.Braun) V.P.Gelyuta, Lanomyces Gäumann, 1922, Leucothallia Trevisan, 1853, Leveillula G.Arnaud, Californiomyces U.Braun, 1981, Neoerysiphe U.Braun, Phyllactinia Lév., 1851, Pleochaeta Sacc. & Speg., Podosphaera Kunze, Queirozia Viégas & Cardoso, Sphaerotheca Lév., Sphaerotheca Desv., 1817, Salmonomyces Chidd., 1959, Sawadaea Miyabe, Takamatsuella U.Braun & A.N.Shi, 2011, Tigria Trevisan, 1853, Trichocladia (de Bary) Neger, 1901, Typhulochaeta S.Ito & Hara, 1915, Uncinula Lév., 1851, Uncinulella Hara, 1936, Uncinuliella, Uncinulopsis, Alphitomorpha, Acrosporium C.G.D.Nees, 1816, Arthrocladiella Vassilkov, Bulbomicrosphaera A.Q.Wang, 1987, Bulbomicrosphaeria A.-Q.Wang, 1987, Bulbomicroidium Marm., Siahaan, S.Takam. & U.Braun, 2017, Bulbouncinula R.Y.Zheng & G.Q.Chen, 1979, Euoidium Y.S.Paul & J.N.Kapoor, Fibroidium (R.T.A.Cook, A.J.Inman & C.Billings) R.T.A.Cook & U.Braun, Kokkalera Ponnappa, 1970, Medusosphaera Golovin & Gamalitzkaja, 1962, Microidium (To-anun & S.Takam.) To-anun & S.Takam., 2011, Oidium Link, 1809, Oidium P.A.Saccardo, 1880, Oidiopsis Scalia, Ovulariopsis Pat. & Har., Pseudoidium Y.S.Paul & J.N.Kapoor, Setoerysiphe Y.Nomura, 1984, Setoidium (R.T.A.Cook, A.J.Inman & C.Billings) R.T.A.Cook & U.Braun, 2012, Streptopodium R.Y.Zheng & G.Q.Chen, 1978, Striatoidium (R.T.A.Cook, A.J.Inman & C.Billings) R.T.A.Cook & U.Braun, 2012, Erysiphaceae, Salmonia S.Blumer & E.Müller, 1964)"
 ]
}

 The dataset includes 7129 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019678-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bythk
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anadia pulchella Ruthven, 1926"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019679-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15161/oar.it/212142
title: Carta Geologica d'Italia alla scala 1:50.000, F. 282 Ancona

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.15161/oar.it/212143
title: Carta Geologica d'Italia alla scala 1:50.000, F. 282 Ancona

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.6084/m9.figshare.27022285
title: Towards site-specific nutrient management strategies: an open database in Senegal

description: <b>Towards site-specific nutrient management strategies: an open database in Senegal</b><br>Federico Gomez<sup>1*</sup>, Ana Carcedo<sup>1#</sup>, Andre Diatta<sup>2</sup>, Pape Djighaly<sup>3</sup>, Latha Nagarajan<sup>4</sup>, Upendra Singh<sup>4</sup>, Zachary Stewart<sup>5</sup>, Shamie Zingore<sup>6</sup>, Kaushik Majumdar<sup>6</sup>, P.V. Vara Prasad<sup>1</sup> and Ignacio Ciampitti<sup>1,7*</sup><sup>1</sup> Department of Agronomy, Kansas State University, Manhattan, Kansas, USA.<br><sup>2</sup> Department of Agronomy, Gaston Berger University, Saint-Louis, Senegal.<br><sup>3</sup> Department of Agroforestry, Assane Seck University, Ziguinchor, Senegal.<br><sup>4</sup> International Fertilizer Development Center, Washington DC, USA.<br><sup>5</sup> Center for Agriculture-Led Growth, Bureau for Resilience and Food Security, United States Agency for International Development, Washington, DC, USA.<sup>6</sup> African Plant Nutrition Institute (APNI), Ben Guerir, Morocco.<br><sup>7</sup> Department of Agronomy, Purdue University, West Lafayette, Indiana, USA.# Currently at: Plant Sciences Department, North Dakota State University, Fargo, North Dakota, USA.For more information about the dataset, please contact the corresponding authors at: fmgomez@ksu.edu, iciampit@purdue.edu.
DOI: 10.6084/m9.figshare.27022285.v1
title: Towards site-specific nutrient management strategies: an open database in Senegal

description: <b>Towards site-specific nutrient management strategies: an open database in Senegal</b><br>Federico Gomez<sup>1*</sup>, Ana Carcedo<sup>1#</sup>, Andre Diatta<sup>2</sup>, Pape Djighaly<sup>3</sup>, Latha Nagarajan<sup>4</sup>, Upendra Singh<sup>4</sup>, Zachary Stewart<sup>5</sup>, Shamie Zingore<sup>6</sup>, Kaushik Majumdar<sup>6</sup>, P.V. Vara Prasad<sup>1</sup> and Ignacio Ciampitti<sup>1,7*</sup><sup>1</sup> Department of Agronomy, Kansas State University, Manhattan, Kansas, USA.<br><sup>2</sup> Department of Agronomy, Gaston Berger University, Saint-Louis, Senegal.<br><sup>3</sup> Department of Agroforestry, Assane Seck University, Ziguinchor, Senegal.<br><sup>4</sup> International Fertilizer Development Center, Washington DC, USA.<br><sup>5</sup> Center for Agriculture-Led Growth, Bureau for Resilience and Food Security, United States Agency for International Development, Washington, DC, USA.<sup>6</sup> African Plant Nutrition Institute (APNI), Ben Guerir, Morocco.<br><sup>7</sup> Department of Agronomy, Purdue University, West Lafayette, Indiana, USA.# Currently at: Plant Sciences Department, North Dakota State University, Fargo, North Dakota, USA.For more information about the dataset, please contact the corresponding authors at: fmgomez@ksu.edu, iciampit@purdue.edu.
DOI: 10.34740/kaggle/dsv/10688864
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5281/zenodo.14833731
title: Monthly Data Analysis

description: Análisis mensual de datos, incluyendo tendencias y patrones clave.
DOI: 10.5281/zenodo.14833732
title: Monthly Data Analysis

description: Análisis mensual de datos, incluyendo tendencias y patrones clave.
DOI: 10.25318/4510002601-eng
title: Electoral participation in last provincial election

description: Electoral participation in last provincial election, by sex and age group, Canada and provinces, 2013.
DOI: 10.6084/m9.figshare.28320134.v41
title: Logic Syllogistic Algorithms Fedorchenko MV.txt

description: Logic Syllogistic Algorithms
DOI: 10.5517/ccdc.csd.cc1yyhgv
title: CCDC 1815808: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1yyhhw
title: CCDC 1815809: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1yyhjx
title: CCDC 1815810: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1yyhky
title: CCDC 1815811: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1yyhlz
title: CCDC 1815812: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1yyhm0
title: CCDC 1815813: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1yyhn1
title: CCDC 1815814: Experimental Crystal Structure Determination

description: Related Article: Peraka Krishna, Alankriti Bajpai, Ewa Patyk-Kaźmierczak, Michał Kaźmierczak, Daniel O'Nolan, Alcemira C. Oliveira, Miranda Perry, Michael J. Zaworotko|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.14515099
title: Hu-Sawicki growth rate fσ8 data

description: These data were used in the interpretable machine learning analysis in https://github.com/IndiraOcampo/Growth_LSS_model_selection_Lime.git and https://link.aps.org/doi/10.1103/PhysRevLett.134.041002

Aim: Train a Neural Networks (NNs) arquitecture on growth rate fσ8 data to perform model selection between two models: HS and ΛCDM. Consequently, extract information about the influence of each individual fσ8 data point (feature) over the final NNs output.

The current repository contains:



Simulated fσ8 data coming from both models (different sizes of datasets that go from 50 to 5000 realizations) for the Neural Networks analysis.

Data coming from an analysis of 50 data example instances (25 belonging to each model) using Lime, to explore the parameter neighbourhood influence over the output.