cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w2jyz2
title: Occurrence Download

description: A dataset containing 66305465 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Acipenseriformes, Albuliformes, Amiiformes, Anguilliformes, Ateleopodiformes, Atheriniformes, Aulopiformes, Batrachoidiformes, Beloniformes, Beryciformes, Cetomimiformes, Characiformes, Clupeiformes, Cypriniformes, Cyprinodontiformes, Elopiformes, Esociformes, Gadiformes, Gasterosteiformes, Gobiesociformes, Gonorynchiformes, Gymnotiformes, Lampriformes, Lepisosteiformes, Lophiiformes, Mugiliformes, Myctophiformes, Notacanthiformes, Ophidiiformes, Osmeriformes, Osteoglossiformes, Perciformes, Percopsiformes, Pleuronectiformes, Polymixiiformes, Polypteriformes, Saccopharyngiformes, Salmoniformes, Scorpaeniformes, Siluriformes, Stephanoberyciformes, Stomiiformes, Synbranchiformes, Syngnathiformes, Tetraodontiformes, Zeiformes)"
 ]
}

 The dataset includes 66305465 records from 5261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007054-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/qezqkv/wfh9fr
title: Analysis_3.R
DOI: 10.15468/dl.2ave5z
title: Occurrence Download

description: A dataset containing 4276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Racopilum cuspidigerum (Schwägr.) Ångstr.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4276 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087940-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/qezqkv/jdpo0y
title: Codebook.pdf
DOI: 10.6084/m9.figshare.26084719
title: Behavioural data

description: We applied a random forest algorithm to process accelerometer data from broiler chickens. Data from three broiler strains at a range of ages (from 25-49 days old) were used to train and test the algorithm and, unlike other studies, the algorithm was further tested on an unseen broiler strain. When tested on unseen birds from the three training broiler strains the random forest model classified behaviours with very good accuracy (92%), specificity (94%) and good sensitivity (88%) and precision (88%). With the new, unseen strain the model classified behaviours with very good accuracy (94%), sensitivity (91%), specificity (96%) and precision (91%).
DOI: 10.6084/m9.figshare.26084719.v1
title: Behavioural data

description: We applied a random forest algorithm to process accelerometer data from broiler chickens. Data from three broiler strains at a range of ages (from 25-49 days old) were used to train and test the algorithm and, unlike other studies, the algorithm was further tested on an unseen broiler strain. When tested on unseen birds from the three training broiler strains the random forest model classified behaviours with very good accuracy (92%), specificity (94%) and good sensitivity (88%) and precision (88%). With the new, unseen strain the model classified behaviours with very good accuracy (94%), sensitivity (91%), specificity (96%) and precision (91%).
DOI: 10.25346/s6/qezqkv/a0ggwg
title: Analysis_1.R
DOI: 10.3886/e184022v1-153721
title: Data and Code for: "The Evolution of Local Labor Markets After Recessions"

description: This project contains data and code for the paper "The Evolution of Local Labor Markets After Recessions" by Brad J. Hershbein and Bryan A. Stuart
DOI: 10.15468/dl.tdvtxc
title: Occurrence Download

description: A dataset containing 46217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Climacium dendroides (Hedw.) F.Weber & D.Mohr)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 46217 records from 445 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087941-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/qezqkv/ypv7mv
title: Analysis_3.R
DOI: 10.25346/s6/qezqkv/jdpc87
title: Codebook.pdf
DOI: 10.6084/m9.figshare.26084710
title: Primary cilia are required for cell-type determination and angiogenesis in the pituitary development

description: Supplemental information for "Primary cilia are required for cell-type determination and angiogenesis in the pituitary development"
DOI: 10.25346/s6/qezqkv/spoma1
title: Modified_2022_NSDUH.tab
DOI: 10.5281/zenodo.12190718
title: Calibration Study: ChEMBL Data
DOI: 10.5281/zenodo.12190719
title: Calibration Study: ChEMBL Data
DOI: 10.6084/m9.figshare.26084722.v1
title: Test 2 Behaviour Data

description: We applied a random forest algorithm to process accelerometer data from broiler chickens. Data from three broiler strains at a range of ages (from 25-49 days old) were used to train and test the algorithm and, unlike other studies, the algorithm was further tested on an unseen broiler strain. When tested on unseen birds from the three training broiler strains the random forest model classified behaviours with very good accuracy (92%), specificity (94%) and good sensitivity (88%) and precision (88%). With the new, unseen strain the model classified behaviours with very good accuracy (94%), sensitivity (91%), specificity (96%) and precision (91%).
DOI: 10.6084/m9.figshare.26084722
title: Test 2 Behaviour Data

description: We applied a random forest algorithm to process accelerometer data from broiler chickens. Data from three broiler strains at a range of ages (from 25-49 days old) were used to train and test the algorithm and, unlike other studies, the algorithm was further tested on an unseen broiler strain. When tested on unseen birds from the three training broiler strains the random forest model classified behaviours with very good accuracy (92%), specificity (94%) and good sensitivity (88%) and precision (88%). With the new, unseen strain the model classified behaviours with very good accuracy (94%), sensitivity (91%), specificity (96%) and precision (91%).
DOI: 10.25346/s6/qezqkv/g9wgsb
title: Analysis_1.R
DOI: 10.25346/s6/qezqkv/1aw1rj
title: Modified_2022_NSDUH.tab
DOI: 10.15468/dl.tjqu9s
title: Occurrence Download

description: A dataset containing 1524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opiliones",
 "Year 2017-2024"
 ]
}

 The dataset includes 1524 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087944-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11279652
title: Image Database SNF-Sinergia Project "In the Shadow of the Tree"

description: SNF Sinergia Project with four research groups: Profs. Marianne Sommer (University of Lucerne), Simon Teuscher (University of Zurich), Staffan Müller-Wille (University of Exeter and Lübeck), Caroline Arni (University of Basel).

Financed by the Swiss National Science Foundation from February 2019 to January 2024.






‘In the Shadow of the Tree: The Diagrammatics of Relatedness as Scientific, Scholarly, and Popular Practice’ is an interdisciplinary collaboration of four research groups investigating the bewildering variety of diagrams that have been used to conceptualize, determine, and produce relatedness in Western Europe and in spaces of European expansion since the Late Medieval Period. Work on the ‘tree of life’ has brought to light unexpected evolutionary affinities, and the possibility to study the genetic make-up of human populations as well as to identify the place of individual human DNA within ‘the human family tree’ has impacted our understandings of relatedness. In parallel, new digital methods to visualize such relations have proliferated. Drawing on a long cultural and scientific history, such visualizations tend to take the form of a tree, reflecting the assumption that evolution and descent follow a bifurcating pattern. ‘Tree thinking’ has therefore been identified as a dominant mode of thought and the tree as a canonical icon in modern biology. Indeed, tree thinking has been made out as a general modern Western rationale that reduces relatedness to descent. Rather than tracing the history of a particular idea or icon, however, we offer a comparative analysis of diagrams of relatedness as epistemic, cultural, and political practices. The project introduces a new interdisciplinary approach to diagrammatics that analyzes diagrams as techniques that transcend such binaries as ‘thought and action’ and ‘image and text’ and includes the reconstruction of the practices of collection, observation, experimentation, modelling, drafting, commenting, explaining etc. that inform diagrams of relatedness, as well as the politics of their production and use.
DOI: 10.5281/zenodo.12189945
title: Image Database SNF-Sinergia Project "In the Shadow of the Tree"

description: SNF Sinergia Project with four research groups: Profs. Marianne Sommer (University of Lucerne), Simon Teuscher (University of Zurich), Staffan Müller-Wille (University of Exeter and Lübeck), Caroline Arni (University of Basel).

Financed by the Swiss National Science Foundation from February 2019 to January 2024.






‘In the Shadow of the Tree: The Diagrammatics of Relatedness as Scientific, Scholarly, and Popular Practice’ is an interdisciplinary collaboration of four research groups investigating the bewildering variety of diagrams that have been used to conceptualize, determine, and produce relatedness in Western Europe and in spaces of European expansion since the Late Medieval Period. Work on the ‘tree of life’ has brought to light unexpected evolutionary affinities, and the possibility to study the genetic make-up of human populations as well as to identify the place of individual human DNA within ‘the human family tree’ has impacted our understandings of relatedness. In parallel, new digital methods to visualize such relations have proliferated. Drawing on a long cultural and scientific history, such visualizations tend to take the form of a tree, reflecting the assumption that evolution and descent follow a bifurcating pattern. ‘Tree thinking’ has therefore been identified as a dominant mode of thought and the tree as a canonical icon in modern biology. Indeed, tree thinking has been made out as a general modern Western rationale that reduces relatedness to descent. Rather than tracing the history of a particular idea or icon, however, we offer a comparative analysis of diagrams of relatedness as epistemic, cultural, and political practices. The project introduces a new interdisciplinary approach to diagrammatics that analyzes diagrams as techniques that transcend such binaries as ‘thought and action’ and ‘image and text’ and includes the reconstruction of the practices of collection, observation, experimentation, modelling, drafting, commenting, explaining etc. that inform diagrams of relatedness, as well as the politics of their production and use.
DOI: 10.15468/dl.veez3p
title: Occurrence Download

description: A dataset containing 6320 species occurrences available in GBIF matching the query:
{
 "IdentifiedById" : [
 "is https://orcid.org/0000-0002-0337-0467"
 ]
}

 The dataset includes 6320 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087946-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12189713
title: 2023 Portuguese Energy Tariffs: Retail and Feed-In Tariff Data

description: Introduction

This dataset contains historic data for 20 electric grid consumption and energy injection tariffs in Portugal, during 2023. The data includes both retail tariffs for grid consumption energy and feed-in income tariffs for energy injected back into the grid.

 

Data Overview

The dataset comprises the following key elements:

 1. Grid Consumption (Retail Tariffs):



Retail tariffs refer to the cost per unit of electricity consumed from the grid.

Tariff values are given in euro (€) per kWh and vary across different retailers and hour schemes.


 2. Energy Injection (Feed-in Tariffs):



Feed-in tariffs represent the compensation per unit of electricity generated by solar systems and fed back into the grid.

Tariff values are presented in € per kWh and vary across different retailers and conditions.


Assumptions

The retail tariffs in this dataset refer to the consumed energy only and do not include taxes, contracted power costs, and other fees.

The dataset starts on Jan 1st, 2023, and ends on Dec 31st, 2023.

The dataset uses a 15min time step for each line. The price per hour is applied to each of the four 15 minutes steps.

Reference data used to create this dataset:



ERSE Regulatory data simulator - https://simulador.precos.erse.pt/eletricidade/

2023 Energy Cost Description - https://www.erse.pt/en/activities/market-regulation/tariffs-and-prices-electricity

GALP - https://casa.galp.pt/planos-eletricidade-e-gas

Eni Plenitude - https://eniplenitude.pt/eletricidade

Repsol - https://www.repsol.pt/particulares/casa/eletricidade-gas/

EDP - https://www.edp.pt/empresas/energia/tarifarios/


 

We would be grateful if you could acknowledge the use of this dataset in your publications.
description: This article was developed under the “NGS - New Generation Storage” Innovation Pact (C644936001-00000045), by the “NGS” Consortium, co-funded by the NextGenerationEU, through the investment “Agendas para a Inovação Empresarial” of the Portuguese Recovery and Resilience Plan (PRR).” The authors acknowledge the work facilities and equipment provided by GECAD research center (UIDB/00760/2020), DOI:10.54499/UIDB/00760/2020 to the project team.
DOI: 10.5281/zenodo.12189714
title: 2023 Portuguese Energy Tariffs: Retail and Feed-In Tariff Data

description: Introduction

This dataset contains historic data for 20 electric grid consumption and energy injection tariffs in Portugal, during 2023. The data includes both retail tariffs for grid consumption energy and feed-in income tariffs for energy injected back into the grid.

 

Data Overview

The dataset comprises the following key elements:

 1. Grid Consumption (Retail Tariffs):



Retail tariffs refer to the cost per unit of electricity consumed from the grid.

Tariff values are given in euro (€) per kWh and vary across different retailers and hour schemes.


 2. Energy Injection (Feed-in Tariffs):



Feed-in tariffs represent the compensation per unit of electricity generated by solar systems and fed back into the grid.

Tariff values are presented in € per kWh and vary across different retailers and conditions.


Assumptions

The retail tariffs in this dataset refer to the consumed energy only and do not include taxes, contracted power costs, and other fees.

The dataset starts on Jan 1st, 2023, and ends on Dec 31st, 2023.

The dataset uses a 15min time step for each line. The price per hour is applied to each of the four 15 minutes steps.

Reference data used to create this dataset:



ERSE Regulatory data simulator - https://simulador.precos.erse.pt/eletricidade/

2023 Energy Cost Description - https://www.erse.pt/en/activities/market-regulation/tariffs-and-prices-electricity

GALP - https://casa.galp.pt/planos-eletricidade-e-gas

Eni Plenitude - https://eniplenitude.pt/eletricidade

Repsol - https://www.repsol.pt/particulares/casa/eletricidade-gas/

EDP - https://www.edp.pt/empresas/energia/tarifarios/


 

We would be grateful if you could acknowledge the use of this dataset in your publications.
description: This article was developed under the “NGS - New Generation Storage” Innovation Pact (C644936001-00000045), by the “NGS” Consortium, co-funded by the NextGenerationEU, through the investment “Agendas para a Inovação Empresarial” of the Portuguese Recovery and Resilience Plan (PRR).” The authors acknowledge the work facilities and equipment provided by GECAD research center (UIDB/00760/2020), DOI:10.54499/UIDB/00760/2020 to the project team.
DOI: 10.5281/zenodo.12190061
title: Supplementary Data for Paper "Efficient Modeling of Water Adsorption in MOFs Using Interpolated Transition Matrix Monte Carlo"

description: This dataset contains data needed to reproduce all calculations and plots published in paper "Efficient Modeling of Water Adsorption in MOFs Using Interpolated Transition Matrix Monte Carlo", B. Mazur, L. Firlej, and B. Kuchta, 2024, ACS Appl. Mater. Interfaces, DOI: 10.1021/acsami.4c02616.
DOI: 10.5281/zenodo.12187963
title: Supplementary Data for Paper "Efficient Modeling of Water Adsorption in MOFs Using Interpolated Transition Matrix Monte Carlo"

description: This dataset contains data needed to reproduce all calculations and plots published in paper "Efficient Modeling of Water Adsorption in MOFs Using Interpolated Transition Matrix Monte Carlo", B. Mazur, L. Firlej, and B. Kuchta, 2024, ACS Appl. Mater. Interfaces, DOI: 10.1021/acsami.4c02616.
DOI: 10.5281/zenodo.12187964
title: Supplementary Data for Paper "Efficient Modeling of Water Adsorption in MOFs Using Interpolated Transition Matrix Monte Carlo"

description: This dataset contains data needed to reproduce all calculations and plots published in paper "Efficient Modeling of Water Adsorption in MOFs Using Interpolated Transition Matrix Monte Carlo", B. Mazur, L. Firlej, and B. Kuchta, 2024, ACS Appl. Mater. Interfaces, DOI: 10.1021/acsami.4c02616.
DOI: 10.15468/dl.w39r69
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cremnophila nutans Rose"
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087947-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12190661
title: The superconducting clock-circuit: Improving the coherence of Josephson radiation beyond the thermodynamic uncertainty relation
DOI: 10.5281/zenodo.12190662
title: The superconducting clock-circuit: Improving the coherence of Josephson radiation beyond the thermodynamic uncertainty relation
DOI: 10.7284/160012
title: INS (Inertial Navigation System) data collected during research cruise SKQ202402T using a Kongsberg Seapath 320+ instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/160020
title: Anemometer data collected during research cruise SKQ202402T using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.7284/160028
title: Gyrocompass data collected during research cruise SKQ202402T using a Kongsberg MGC R3 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/160025
title: Multibeam Echosounder data collected during research cruise SKQ202402T using a Kongsberg EM304 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/133581
title: Multibeam Echosounder data collected during research cruise SR1901 using a Kongsberg EM712 instrument system onboard the platform RV Sally Ride

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/133582
title: Multibeam Echosounder data collected during research cruise SR1901 using a Kongsberg EM122 instrument system onboard the platform RV Sally Ride

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/156076
title: Meteorological Station data collected during research cruise SR2303 using a SIO MET-System instrument system onboard the platform RV Sally Ride

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25346/s6/qezqkv/kyudvu
title: Modified_2022_NSDUH.tab
DOI: 10.7284/156089
title: Multibeam Echosounder data collected during research cruise SR2303 using a Kongsberg EM124 instrument system onboard the platform RV Sally Ride

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/160019
title: Anemometer data collected during research cruise SKQ202402T using a RMYoung 85004 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/159987
title: Singlebeam Echosounder data collected during research cruise SR2314 using a Kongsberg SBP-29 instrument system onboard the platform RV Sally Ride

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.7284/160001
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise SR2314 using a GeneralOceanics 8050 instrument system onboard the platform RV Sally Ride

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/158893
title: Meteorological Station data collected during research cruise SR2326 using a SIO MET-System instrument system onboard the platform RV Sally Ride

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/156086
title: Ultra Short Baseline Positioning System data collected during research cruise SR2303 using a Kongsberg HiPAP instrument system onboard the platform RV Sally Ride

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/159986
title: Multibeam Echosounder data collected during research cruise SR2314 using a Kongsberg EM712 instrument system onboard the platform RV Sally Ride

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/159996
title: Singlebeam Echosounder data collected during research cruise SR2314 using a Knudsen 3260 instrument system onboard the platform RV Sally Ride

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.12187906
title: Data, scripts, and results from SYNTCOMP 2024

description: This artifact contains all data downloaded from the StarExec platform concerning the jobs that ran the LTL, LTLf, and parity-game tracks of the 2024 reactive synthesis competition (SYNTCOMP24).
DOI: 10.5281/zenodo.12187907
title: Data, scripts, and results from SYNTCOMP 2024

description: This artifact contains all data downloaded from the StarExec platform concerning the jobs that ran the LTL, LTLf, and parity-game tracks of the 2024 reactive synthesis competition (SYNTCOMP24).
DOI: 10.25346/s6/qezqkv/etlafe
title: Analysis_2.R
DOI: 10.15468/dl.d2educ
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Athanasia cuneifolia Lam."
 ]
}

 The dataset includes 15 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087948-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/qezqkv/8uueht
title: Analysis-1.R
DOI: 10.25346/s6/qezqkv/429g9t
title: Analysis-2.R
DOI: 10.5281/zenodo.12190173
title: Mitigation of Vibrio-induced metabolic perturbations in Argopecten purpuratus scallop larvae via probiotic pretreatment
DOI: 10.5281/zenodo.12190174
title: Mitigation of Vibrio-induced metabolic perturbations in Argopecten purpuratus scallop larvae via probiotic pretreatment
DOI: 10.48597/g484-h6mh
title: Ammonia at Castellón (La Marina)

description: Measurement of Ammonia at Castellón (La Marina)