cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24151113
title: Additional file 1 of What evidence exists on the ecological and physical effects of built structures in shallow, tropical coral reefs? A systematic map protocol

description: Additional file 1. ROSES for systematic map protocols checklist.
DOI: 10.25582/data.2022-02.2427959/2214790
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-08.2592188/2214791
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-05.2515228/2214792
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-03.2457923/2214793
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-02.2428000/2214794
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-02.2428146/2214795
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-09.2599870/2214796
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-09.2597037/2214797
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-05.2515415/2214798
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-05.2515581/2214799
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-09.2602279/2214800
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-08.2589153/2214801
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-04.2470083/2214802
title: Data for EMSL Project 60261 from April 2022
DOI: 10.25582/data.2022-09.2599403/2214803
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-02.2427507/2214804
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-05.2515352/2214805
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-08.2590229/2214806
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-03.2461486/2214807
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-05.2516306/2214808
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-08.2581181/2214809
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-09.2602464/2214810
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-09.2602203/2214811
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-05.2516035/2214812
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-08.2584068/2214813
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-02.2428227/2214814
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-09.2598673/2214815
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-09.2602326/2214816
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-05.2515328/2214817
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-05.2515527/2214818
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-02.2428381/2214819
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-02.2428038/2214820
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-08.2581358/2214821
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-08.2592875/2214822
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-05.2515253/2214823
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-08.2571792/2214824
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-05.2515846/2214825
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-09.2597027/2214826
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-05.2515799/2214827
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-08.2591867/2214828
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-09.2602268/2214829
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-09.2602391/2214830
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-05.2515200/2214831
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-02.2428137/2214832
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-02.2428046/2214833
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-09.2597172/2214834
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-02.2428375/2214835
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-09.2598686/2214836
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-05.2515516/2214837
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-02.2427425/2214838
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-09.2598656/2214839
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-02.2427520/2214840
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-03.2457449/2214841
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-09.2602280/2214842
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-02.2427493/2214843
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-02.2427421/2214844
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-05.2515332/2214845
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-03.2463453/2214846
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-09.2602204/2214847
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-02.2427519/2214848
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-08.2572656/2214849
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-05.2515903/2214850
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-03.2463271/2214851
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-09.2602444/2214852
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-09.2598927/2214853
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-05.2516207/2214854
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-08.2587266/2214855
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-02.2427536/2214856
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-02.2427964/2214857
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-03.2457398/2214858
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-03.2460747/2214859
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-04.2467286/2214860
title: Data for EMSL Project 60261 from April 2022
DOI: 10.25582/data.2022-05.2516295/2214861
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-05.2515600/2214862
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-09.2602376/2214863
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-02.2427488/2214864
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-05.2515232/2214865
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-05.2515807/2214866
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-05.2515271/2214867
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-09.2598705/2214868
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-03.2461038/2214869
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-02.2427689/2214870
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-09.2602340/2214871
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-03.2461673/2214872
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-02.2428083/2214873
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-08.2584072/2214874
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-09.2595569/2214875
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-09.2599884/2214876
title: Data for EMSL Project 60261 from September 2022
DOI: 10.6084/m9.figshare.24586023
title: Additional file 1 of Lower viral evolutionary pressure under stable versus fluctuating conditions in subzero Arctic brines

description: Additional file 1: Table S1. Viromic statistics and viral concentrations of four samples. Table S2. Comparison in virus recovery from short- and long-read assemblies. Table S3. Size summary of vOTUs from CB17. The two assembly types (i.e., short+long-read assembly and short-read-only assesmbly) had identical sequencing depth, as described in Table S2. Table S4. Size summary of vOTUs from CB18. The two assembly types (i.e., short+long-read assembly and short-read-only assesmbly) had identical sequencing depth, as described in Table S2. Table S5. Taxonomic assignments and viral cluster summary. Viruses from this study, the NCBI RefSeq database, and 250 environmental metagenomes were included for clustering analysis. The environmental metagenomes included samples from below ecosystems: global oceans (GOV2 dataset), deep ocean water, deep ocean sediment, surfacer layer (top 1 meter) of permafrost (IsoGenie), soil, air, glacier cryoconite, glacier ice core, and lake water. Table S6. Viral cluster summary of the two vOTUs encoding fatty acid desaturase (FAD) genes. The two vOTUs are vOTU105_CB18_230153 and vOTU43_CB18_222366. Viral contigs that connected to above two vOTUs from Figure S4 and Table S5 were used for network analysis in this Table. Table S7. Putative gene annotations of the 11,088 vOTUs from this study. Genes were annotated by comparing them to three databases PFAM, KEGG, and Uniref using DRAMv. Table S8. Gene annotation and phage gene identification of the vOTU vOTU4_CB17_43158 encoding the AMG espG.The methods used for gene annotation and phage gene identification are described in the legend of Fig. 5. Table S9. Tests for selection pressure of epsG gene using site and free-ratio models. Table S10. Summay and annotations of all brine viral genes under positive selection. The 23 putative phage tail fiber genes were highlighted in grey (i.e., Rows 3-25). Table S11. Scripts used for quality control of the short-read viromes based on DOE Joint Genome Institute's standards pipeline (Clum et al., 2021).
DOI: 10.25582/data.2022-09.2602250/2214877
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-03.2461020/2214878
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-08.2591978/2214879
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-09.2596075/2214880
title: Data for EMSL Project 60261 from September 2022
DOI: 10.6084/m9.figshare.24586029
title: Additional file 1 of A meta-analysis of systematic reviews and meta-analyses to evaluate the psychological consequences of COVID-19

description: Additional file 1.
DOI: 10.6084/m9.figshare.24586029.v1
title: Additional file 1 of A meta-analysis of systematic reviews and meta-analyses to evaluate the psychological consequences of COVID-19

description: Additional file 1.
DOI: 10.25582/data.2022-05.2515244/2214881
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-03.2460535/2214882
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-03.2461494/2214883
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-03.2463918/2214884
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-05.2515263/2214885
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-09.2599816/2214886
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-08.2592703/2214887
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-09.2602256/2214888
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-08.2572644/2214889
title: Data for EMSL Project 60261 from August 2022
DOI: 10.25582/data.2022-09.2596029/2214890
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-04.2470158/2214891
title: Data for EMSL Project 60261 from April 2022
DOI: 10.25582/data.2022-02.2427506/2214892
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-09.2602398/2214893
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-02.2428088/2214894
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-02.2427496/2214895
title: Data for EMSL Project 60261 from February 2022
DOI: 10.25582/data.2022-03.2461464/2214896
title: Data for EMSL Project 60261 from March 2022
DOI: 10.25582/data.2022-05.2515778/2214897
title: Data for EMSL Project 60261 from May 2022
DOI: 10.25582/data.2022-09.2602288/2214898
title: Data for EMSL Project 60261 from September 2022
DOI: 10.25582/data.2022-02.2427473/2214899
title: Data for EMSL Project 60261 from February 2022
DOI: 10.6084/m9.figshare.24180833
title: Additional file 3 of Restrictive versus conventional ward fluid therapy in non-cardiac surgery patients and the effect on postoperative complications: a meta-analysis

description: Additional file 3. Full text screening—exclusion criteria.
DOI: 10.15468/dl.3bh3q2
title: Occurrence Download

description: A dataset containing 2001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salamandra lanzai Nascetti, Andreone, Capula & Bullini, 1988",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 2001 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079071-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjx8td
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Rumaniulus mammosus Attems, 1927",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079072-240626123714530/datasets/export for details.
DOI: 10.17595/20190828.001
title: Atmospheric trace gas data from the CONTRAIL flask air sampling over the Pacific Ocean

description: The update of this dataset has stopped, because the data is merged into the all-route dataset. This data set contains trace gas mole fractions observed over the Eurasian continent by the flask air sampling of the CONTRAIL (Comprehensive Observation Network for TRace gases by AIrLiner) project. Air samples were collected by the Automatic air Sampling Equipment (ASE) and manually by the Manual air Sampling Equipment (MSE) on board commercial aircraft of Japan Airlines (JAL).
DOI: 10.17595/20190828.002
title: Atmospheric trace gas data from the CONTRAIL flask air sampling over the Eurasian continent

description: The update of this dataset has stopped, because the data is merged into the all-route dataset. This data set contains trace gas mole fractions observed over the Eurasian continent by the flask air sampling of the CONTRAIL (Comprehensive Observation Network for TRace gases by AIrLiner) project. Air samples were collected by the Automatic air Sampling Equipment (ASE) and manually by the Manual air Sampling Equipment (MSE) on board commercial aircraft of Japan Airlines (JAL). This data set consists of observational data between Tokyo and Paris, and Tokyo and Moscow.
DOI: 10.17595/20220722.001
title: Atmospheric trace gas data from the CONTRAIL flask air sampling over the Pacific Ocean (the most recent data)

description: The update of this dataset has stopped, because the data is merged into the all-route dataset. This data set contains trace gas mole fractions observed over the Eurasian continent by the flask air sampling of the CONTRAIL (Comprehensive Observation Network for TRace gases by AIrLiner) project. Air samples were collected by the Automatic air Sampling Equipment (ASE) and manually by the Manual air Sampling Equipment (MSE) on board commercial aircraft of Japan Airlines (JAL). This data set contains the most recently obtained data, whose QA/QC is still in progress. Because of this, the citation policy and format are different from those of the regular data (Machida et al., 2023). Please carefully read the citation policy written below. Furthermore, a password is required to download the data, which can be obtained by contacting the CONTRAIL PIs (contrail_pi@nies.go.jp). Note that these data will be merged into the regular data set at the next major update.
DOI: 10.17595/20210827.002
title: Atmospheric trace gas data from the CONTRAIL flask air sampling over the Eurasian continent (most recent data)

description: The update of this dataset has stopped, because the data is merged into the all-route dataset. This data set contains trace gas mole fractions observed over the Eurasian continent by the flask air sampling of the CONTRAIL (Comprehensive Observation Network for TRace gases by AIrLiner) project. Air samples were collected by the Automatic air Sampling Equipment (ASE) and manually by the Manual air Sampling Equipment (MSE) on board commercial aircraft of Japan Airlines (JAL). This data set consists of observational data between Tokyo and Paris, and Tokyo and Moscow. This data set contains the most recently obtained data, whose QA/QC is still in progress. Because of this, the citation policy and format are different from those of the regular data (Machida et al., 2019). Please read carefully the citation policy written below. Furthermore, a password is required to download the data, which can be obtained by contacting the CONTRAIL PIs (contrail_pi@nies.go.jp). Note that these data will be merged into the regular data set at the next major update.
DOI: 10.15468/dl.pgjk3j
title: Occurrence Download

description: A dataset containing 763 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Discoglossus sardus Tschudi, 1837",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 763 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079073-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4jkg2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptoiulus deubeli (Verhoeff, 1897)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079074-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5zczzw
title: Occurrence Download

description: A dataset containing 1194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Saguinus oedipus (Linnaeus, 1758)"
 ]
}

 The dataset includes 1194 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079075-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atam2e
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Discoglossus montalentii Lanza, Nascetti, Capula & Bullini, 1984",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 229 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079076-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bhbea
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptoiulus tendanus Verhoeff, 1930",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079077-240626123714530/datasets/export for details.
DOI: 10.15468/dl.euh3um
title: Occurrence Download

description: A dataset containing 829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyla sarda (De Betta, 1853)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 829 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079078-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6htyq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptoiulus baconyensis (Verhoeff, 1899)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079079-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.7719102
title: Reducing transmission expansion by co-optimizing sizing of wind, solar, storage, and grid connection capacity: Raw Data

description: This dataset contained an older and out-of-date version of all GenX model input and results data relevant to the working paper ‘Reducing transmission expansion by co-optimizing sizing of wind, solar, storage, and grid connection capacity.’ The data for the more recent version of the paper can be found here: https://zenodo.org/records/13340214.
DOI: 10.5281/zenodo.7719103
title: Reducing transmission expansion by co-optimizing sizing of wind, solar, storage, and grid connection capacity: Raw Data

description: This dataset contained an older and out-of-date version of all GenX model input and results data relevant to the working paper ‘Reducing transmission expansion by co-optimizing sizing of wind, solar, storage, and grid connection capacity.’ The data for the more recent version of the paper can be found here: https://zenodo.org/records/13340214.