cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2p8d7m
title: CCDC 2480720: Experimental Crystal Structure Determination

description: Related Article: Savelii V. Barkovskii, Konstantin A. Lyssenko, Mikhail S. Nechaev, Valentine G. Nenajdenko|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c03697
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.cc2p8d8n
title: CCDC 2480721: Experimental Crystal Structure Determination

description: Related Article: Savelii V. Barkovskii, Konstantin A. Lyssenko, Mikhail S. Nechaev, Valentine G. Nenajdenko|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c03697
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.cc2p8hvb
title: CCDC 2480832: Experimental Crystal Structure Determination

description: Related Article: Suman S. Das, Rajanikanta Rana, Chakali Srinivas, Parameswar Krishnan Iyer, Saroj L Samal|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c03844
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.cc2p8hwc
title: CCDC 2480833: Experimental Crystal Structure Determination

description: Related Article: Suman S. Das, Rajanikanta Rana, Chakali Srinivas, Parameswar Krishnan Iyer, Saroj L Samal|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c03844
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.cc2p8wkf
title: CCDC 2481195: Experimental Crystal Structure Determination

description: Related Article: Hao-Dong Liu, Long-Hua Zeng, Xi-Yu Shao, Cheng Liu, Wen-Tong Chen|2025|Inorg.Chim.Acta|590|122975|doi:10.1016/j.ica.2025.122975
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.cc2p8wlg
title: CCDC 2481196: Experimental Crystal Structure Determination

description: Related Article: Hao-Dong Liu, Long-Hua Zeng, Xi-Yu Shao, Cheng Liu, Wen-Tong Chen|2025|Inorg.Chim.Acta|590|122975|doi:10.1016/j.ica.2025.122975
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: 10.3334/cdiac/otg.vos_tf5_2009
title: Partial pressure (or fugacity) of carbon dioxide, salinity and other variables collected from Surface underway observations using Barometric pressure sensor, Carbon dioxide (CO2) gas analyzer and other instruments from Trans Future 5 in the Bass Strait, Coral Sea and others from 2009-01-03 to 2010-01-05 (NCEI Accession 0157349)

description: This dataset includes Surface underway, chemical, meteorological and physical data collected from Trans Future 5 in the Bass Strait, Coral Sea, North Pacific Ocean, Philippine Sea, Solomon Sea, South Pacific Ocean and Tasman Sea from 2009-01-03 to 2010-01-05. These data include ABSOLUTE HUMIDITY, AIR TEMPERATURE, AIR-SEA DIFFERENCE - PARTIAL PRESSURE (OR FUGACITY) OF CARBON DIOXIDE, BAROMETRIC PRESSURE, INCOMING SOLAR RADIATION, Partial pressure (or fugacity) of carbon dioxide - atmosphere, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY, SEA SURFACE TEMPERATURE and WIND SPEED. The instruments used to collect these data include Barometric pressure sensor, Carbon dioxide (CO2) gas analyzer, Shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement and thermosalinographs.

These data were collected by Yukihiro Nojiri of National Institute for Environmental Studies (NIES) as part of the VOS_Trans_Future_5_2009 dataset. CDIAC associated the following cruise ID(s) with this dataset: PAT520090103
DOI: 10.5517/ccdc.csd.cc2lztl0
title: CCDC 2412903: Experimental Crystal Structure Determination

description: Related Article: Anastasiya V. Agafonova, Julia I. Pavlenko, Timur O. Zanakhov, Alexander F. Khlebnikov, Mikhail S. Novikov|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04084
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.cc2p8z54
title: CCDC 2481276: Experimental Crystal Structure Determination

description: Related Article: Anastasiya V. Agafonova, Julia I. Pavlenko, Timur O. Zanakhov, Alexander F. Khlebnikov, Mikhail S. Novikov|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04084
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.cc2p986h
title: CCDC 2481556: Experimental Crystal Structure Determination

description: Related Article: Li-Fang Wang, You-Zhu Yu|2025|Z.Kristallogr.-New Cryst.Struct.|240|717|doi:10.1515/ncrs-2025-0201
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.cc2p9qsj
title: CCDC 2482008: Experimental Crystal Structure Determination

description: Related Article: Hiroto Kobayashi, Takashi Kubo, Shinya Sugiura, Yohei Haketa, Hiromitsu Maeda|2025|Chem.-Eur.J.||e02698|doi:10.1002/chem.202502698
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.cc2p9qtk
title: CCDC 2482009: Experimental Crystal Structure Determination

description: Related Article: Hiroto Kobayashi, Takashi Kubo, Shinya Sugiura, Yohei Haketa, Hiromitsu Maeda|2025|Chem.-Eur.J.||e02698|doi:10.1002/chem.202502698
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.cc2p9qvl
title: CCDC 2482010: Experimental Crystal Structure Determination

description: Related Article: Hiroto Kobayashi, Takashi Kubo, Shinya Sugiura, Yohei Haketa, Hiromitsu Maeda|2025|Chem.-Eur.J.||e02698|doi:10.1002/chem.202502698
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: 10.3334/cdiac/otg.vos_new_century_2_2015
title: Monitoring of the atmosphere-ocean carbon dioxide exchange by the ship of opportunity (SOOP) during the M/S New Century 2 line cruises in 2015 (NCEI Accession 0157369)

description: This dataset includes surface underway, chemical, meteorological and physical data collected from M/S New Century 2 in the North Pacific Ocean, Caribbean Sea, North Atlantic Ocean from 2015-03-16 to 2016-01-02. These data include absolute humidity, air temperature, air-sea difference - partial pressure (or fugacity) of carbon dioxide, barometric pressure, partial pressure (or fugacity) of carbon dioxide - atmosphere, partial pressure (or fugacity) of carbon dioxide - water, relative humidity, sea surface salinity, sea surface temperature and wind direction and speed. The instruments used to collect these data include barometric pressure sensor, carbon dioxide (CO2) gas analyzer, shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement and thermosalinographs. These data were collected by Shin-ichiro Nakaoka of National Institute for Environmental Studies as part of the SOOP New Century-2 2015 lines data.
DOI: 10.15468/dl.zfsvp4
title: Occurrence Download

description: A dataset containing 2306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dispholidus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 2306 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011750-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3334/cdiac/otg.vos_tf5_2008
title: Partial pressure (or fugacity) of carbon dioxide, salinity and other variables collected from Surface underway observations using Barometric pressure sensor, Carbon dioxide (CO2) gas analyzer and other instruments from Trans Future 5 in the Bass Strait, Coral Sea and others from 2008-02-04 to 2008-11-22 (NCEI Accession 0157379)

description: This dataset includes Surface underway, chemical, meteorological and physical data collected from Trans Future 5 in the Bass Strait, Coral Sea, North Pacific Ocean, Philippine Sea, Solomon Sea, South Pacific Ocean and Tasman Sea from 2008-02-04 to 2008-11-22. These data include ABSOLUTE HUMIDITY, AIR TEMPERATURE, AIR-SEA DIFFERENCE - PARTIAL PRESSURE (OR FUGACITY) OF CARBON DIOXIDE, BAROMETRIC PRESSURE, INCOMING SOLAR RADIATION, Partial pressure (or fugacity) of carbon dioxide - atmosphere, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY, SEA SURFACE TEMPERATURE and WIND SPEED. The instruments used to collect these data include Barometric pressure sensor, Carbon dioxide (CO2) gas analyzer, Shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement and thermosalinographs.

These data were collected by Yukihiro Nojiri of National Institute for Environmental Studies (NIES) as part of the VOS_Trans_Future_5_2008 dataset. CDIAC associated the following cruise ID(s) with this dataset: PAT520080204
DOI: 10.6084/m9.figshare.29900252
title: Supporting material for Schmidt et al. 2025 -<b> </b>Unraveling the mesoscale resting-state functional connectivity of ocular dominance columns in humans using high-resolution functional MRI

description: Despite their importance in shaping visual perception, functional connectivity between ocular dominance columns (ODCs), the building blocks of neuronal processing within the human primary visual cortex (V1), remains largely unknown. Using high-resolution functional MRI (fMRI), we localized ODCs and assessed their resting-state functional connectivity (rs-FC) in 12 human adults (4 females). Consistent with anatomical studies in animals, we found stronger rs-FC in the middle compared to deep and superficial cortical depths and selectively stronger rs-FC between ODCs with alike compared to unalike ocular polarity. Beyond what was known from animal models, and consistent with human perceptual biases, we found stronger intra- and interhemispheric rs-FC in peripheral (compared to central) and in dorsal (compared to ventral) V1 subregions. Lastly, we found a significant correlation between rs-FC patterns and ODC maps, supporting the hypothesis that ODC maps can be predicted from rs-FC patterns within V1. These results highlight the heterogeneity in functional connectivity between ODCs across cortical depths and V1 subfields, underscoring their likely association with human perceptual biases.
DOI: 10.6084/m9.figshare.29900252.v1
title: Supporting material for Schmidt et al. 2025 -<b> </b>Unraveling the mesoscale resting-state functional connectivity of ocular dominance columns in humans using high-resolution functional MRI

description: Despite their importance in shaping visual perception, functional connectivity between ocular dominance columns (ODCs), the building blocks of neuronal processing within the human primary visual cortex (V1), remains largely unknown. Using high-resolution functional MRI (fMRI), we localized ODCs and assessed their resting-state functional connectivity (rs-FC) in 12 human adults (4 females). Consistent with anatomical studies in animals, we found stronger rs-FC in the middle compared to deep and superficial cortical depths and selectively stronger rs-FC between ODCs with alike compared to unalike ocular polarity. Beyond what was known from animal models, and consistent with human perceptual biases, we found stronger intra- and interhemispheric rs-FC in peripheral (compared to central) and in dorsal (compared to ventral) V1 subregions. Lastly, we found a significant correlation between rs-FC patterns and ODC maps, supporting the hypothesis that ODC maps can be predicted from rs-FC patterns within V1. These results highlight the heterogeneity in functional connectivity between ODCs across cortical depths and V1 subfields, underscoring their likely association with human perceptual biases.
DOI: 10.15468/dl.wm9qph
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ovophis makazayazaya"
 ]
}

 The dataset includes 53 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011751-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17735784
title: Dataset for Paper - "Is ChatGPT-Generated Code Really Green?"

description: This repository contains the data, scripts, evaluation outputs, and supplementary materials used to compare energy-efficiency patterns between human (Stack Overflow) and AI-generated code.





CSV Files




1. DL_Energy_Patterns.csv


This file contains the raw curated dataset used in the study. It includes:



Stack Overflow questions and other metadata

Accepted human answers

Corresponding ChatGPT-generated responses


This file forms the primary input for all analyses conducted in this work.



2. developer_survey.csv


This file contains the developer survey results collected by the authors who originally released the curated Stack Overflow dataset. The survey includes responses from deep-learning practitioners regarding the usefulness and applicability of the dataset.





Folders




1. prompt_refinement/


Contains all the prompt versions and refinements explored during the study. These prompts were used to compare the human and AI responses.



2. analysis_script/


Contains the scripts used to evaluate human and AI code using the final prompt. This folder includes:



Python scripts for three models: Cohere, ChatGPT, and Gemini

API-based evaluation scripts for Cohere and Gemini

A script for processing ChatGPT’s JSON-formatted output (from a shared conversation link) into a structured CSV format


These scripts take both Stack Overflow and AI answers as input and generate model-specific evaluation outputs.



3. evaluation_sheet/


Contains the evaluation results produced by the analysis scripts. This includes the results from the comparative evaluation of AI and Human code as evaluated by ChatGPT and Gemini.

Each sheet summarizes the model’s judgments on the energy-efficiency patterns for each question–answer pair, along with numerical scores for the finalized patterns.



4. statistical_results/


Contains the statistical analyses performed on the evaluation outputs. This includes correlation tests and significance analyses to understand the agreement between the models (e.g., ChatGPT vs. Gemini).





Supplementary PDF




5. exploratory_freeform_analysis.pdf


This PDF contains the preliminary free-form comparative analysis conducted during the early phase of the study. It documents exploratory evaluations of AI-generated and human-written code prior to the structured methodology presented in the revised manuscript.

The PDF is included to ensure transparency and traceability, allowing readers to see how the initial free-form insights evolved into the final, prompt-structured evaluation used in the published analysis.
DOI: 10.5281/zenodo.17735785
title: Dataset for Paper - "Is ChatGPT-Generated Code Really Green?"

description: This repository contains the data, scripts, evaluation outputs, and supplementary materials used to compare energy-efficiency patterns between human (Stack Overflow) and AI-generated code.





CSV Files




1. DL_Energy_Patterns.csv


This file contains the raw curated dataset used in the study. It includes:



Stack Overflow questions and other metadata

Accepted human answers

Corresponding ChatGPT-generated responses


This file forms the primary input for all analyses conducted in this work.



2. developer_survey.csv


This file contains the developer survey results collected by the authors who originally released the curated Stack Overflow dataset. The survey includes responses from deep-learning practitioners regarding the usefulness and applicability of the dataset.





Folders




1. prompt_refinement/


Contains all the prompt versions and refinements explored during the study. These prompts were used to compare the human and AI responses.



2. analysis_script/


Contains the scripts used to evaluate human and AI code using the final prompt. This folder includes:



Python scripts for three models: Cohere, ChatGPT, and Gemini

API-based evaluation scripts for Cohere and Gemini

A script for processing ChatGPT’s JSON-formatted output (from a shared conversation link) into a structured CSV format


These scripts take both Stack Overflow and AI answers as input and generate model-specific evaluation outputs.



3. evaluation_sheet/


Contains the evaluation results produced by the analysis scripts. This includes the results from the comparative evaluation of AI and Human code as evaluated by ChatGPT and Gemini.

Each sheet summarizes the model’s judgments on the energy-efficiency patterns for each question–answer pair, along with numerical scores for the finalized patterns.



4. statistical_results/


Contains the statistical analyses performed on the evaluation outputs. This includes correlation tests and significance analyses to understand the agreement between the models (e.g., ChatGPT vs. Gemini).





Supplementary PDF




5. exploratory_freeform_analysis.pdf


This PDF contains the preliminary free-form comparative analysis conducted during the early phase of the study. It documents exploratory evaluations of AI-generated and human-written code prior to the structured methodology presented in the revised manuscript.

The PDF is included to ensure transparency and traceability, allowing readers to see how the initial free-form insights evolved into the final, prompt-structured evaluation used in the published analysis.
DOI: 10.3334/cdiac/otg.flupac_35a319940923
title: Partial pressure (or fugacity) of carbon dioxide, salinity and other variables collected from Surface underway observations using Carbon dioxide (CO2) gas analyzer and other instruments from L'ATALANTE in the North Pacific Ocean and South Pacific Ocean from 1994-09-23 to 1994-10-30 (NCEI Accession 0157463)

description: This dataset includes Surface underway, chemical, meteorological and physical data collected from L'ATALANTE in the North Pacific Ocean and South Pacific Ocean from 1994-09-23 to 1994-10-30. These data include BAROMETRIC PRESSURE, Partial pressure (or fugacity) of carbon dioxide - water, SALINITY and SEA SURFACE TEMPERATURE. The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer.

These data were collected by Martine Rodier and Robert P. Le Borgne of Institut de Recherche pour le Developpement (IRD), Centre de Noumea and Nicolas Metzl of Sorbonne University (SU) as part of the VOS_FLUPAC_1994 dataset. CDIAC associated the following cruise ID(s) with this dataset: 35A319940923
DOI: 10.3204/pubdb-2025-05051
title: Fe3_110k, CCDC 2270543: Experimental Crystal Structure Determination (2023)

description: Cambridge Crystallographic Data Centre (2023). doi:10.5517/CCDC.CSD.CC2G6PBQ
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.
description: Published by Cambridge Crystallographic Data Centre
DOI: 10.25921/fm0n-5t39
title: Surface Ocean CO2 Atlas (SOCAT) version 2, 1968-11-16 to 2011-12-31 (NCEI Accession 0157631)

description: This dataset includes Surface Ocean CO2 Atlas (SOCAT) version 2, a synthesis product of the surface water fugacity of CO2 (fCO2) for the global oceans and coastal seas from 1968-11-16 to 2011-12-31.

The Surface Ocean CO2 Atlas (SOCAT) is an international effort, supported by the International Ocean Carbon Coordination Project (IOCCP), the Surface Ocean Lower Atmosphere Study (SOLAS), and the Integrated Marine Biogeochemistry and Ecosystem Research program (IMBER), to deliver a uniformly quality-controlled surface ocean CO2 database.
DOI: 10.25921/sn2m-r739
title: Simulation and assimilation of global ocean pCO2 and air-sea CO2 fluxes using ship observations of surface ocean pCO2 in a simplified biogeochemical offline model from 1996-01-01 to 2004-12-31 (NCEI Accession 0157733)

description: This dataset includes Simulation and assimilation of global ocean pCO2 and air-sea CO2 fluxes using ship observations of surface ocean pCO2 in a simplified biogeochemical offline model from 1996-01-01 to 2004-12-31. These data were calculated by Vinu Valsala and Shamil Maksyutov of National Institute for Environmental Studies as part of the Gobal ocean pCO2 and air-sea CO2 fluxes data set. CDIAC associated the following cruise ID(s) with this data set: Gobal ocean pCO2 and air-sea CO2 fluxes.