cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25493/ra0d-emc
title: Probabilistic cytoarchitectonic map of Area OP2 (POperc) (v12.2)

description: This dataset contains the distinct probabilistic cytoarchitectonic map of Area OP2 (POperc) in the individual, single subject template of the MNI Colin 27 reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using classical histological criteria and quantitative cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to the reference space, where each voxel was assigned the probability to belong to Area OP2 (POperc). The probability map of Area OP2 (POperc) is provided in NifTi format for each hemisphere in the reference space. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and updated probability estimates for new brain structures may in some cases lead to measurable but negligible deviations of existing probability maps, as compared to earlier released datasets. Other available data versions of Area OP2 (POperc): Eickhoff et al. (2018) [Data set, v9.2] [DOI: 10.25493/F8W5-HNB](https://doi.org/10.25493%2FF8W5-HNB) Eickhoff et al. (2019) [Data set, v9.4] [DOI: 10.25493/5KBV-36J](https://doi.org/10.25493%2F5KBV-36J) Eickhoff et al. (2020) [Data set, v11.0] [DOI: 10.25493/SDW0-YEZ](https://doi.org/10.25493%2FSDW0-YEZ) Eickhoff et al. (2020) [Data set, v12.0] [DOI: 10.25493/6CVK-W9](https://doi.org/10.25493%2F6CVK-W9) The most probable delineation of Area OP2 (POperc) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53) Amunts et al. (2021) [Data set, v2.6] [DOI: 10.25493/KJQN-AM0](https://doi.org/10.25493%2FKJQN-AM0) Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)
DOI: 10.25493/d41s-ag7
title: Probabilistic cytoarchitectonic map of Area 6d3 (SFS) (v7.1)

description: This dataset contains the distinct architectonic Area 6d3 (SFS) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area 6d3 (SFS). The probability map of Area 6d3 (SFS) are provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area 6d3 (SFS): Sigl et al. (2019) [Data set, v4.0] [DOI: 10.25493/40J8-TAK](https://doi.org/10.25493%2F40J8-TAK) Sigl et al. (2019) [Data set, v4.1] [DOI: 10.25493/NVJ5-JJ](https://doi.org/10.25493%2FNVJ5-JJ) Sigl et al. (2020) [Data set, v5.0] [DOI: 10.25493/JTZS-1TR](https://doi.org/10.25493%2FJTZS-1TR) The most probable delineation of Area 6d3 (SFS) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53) Amunts et al. (2021) [Data set, v2.6] [DOI: 10.25493/KJQN-AM0](https://doi.org/10.25493%2FKJQN-AM0) Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)
DOI: 10.25493/n3np-hd0
title: Probabilistic cytoarchitectonic map of Area OP1 (POperc) (v12.2)

description: This dataset contains the distinct probabilistic cytoarchitectonic map of Area OP1 (POperc) in the individual, single subject template of the MNI Colin 27 reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using classical histological criteria and quantitative cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to the reference space, where each voxel was assigned the probability to belong to Area OP1 (POperc). The probability map of Area OP1 (POperc) is provided in NifTi format for each hemisphere in the reference space. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and updated probability estimates for new brain structures may in some cases lead to measurable but negligible deviations of existing probability maps, as compared to earlier released datasets. Other available data versions of Area OP1 (POperc): Eickhoff et al. (2018) [Data set, v9.2] [DOI: 10.25493/HVH9-KBR](https://doi.org/10.25493%2FHVH9-KBR) Eickhoff et al. (2019) [Data set, v9.4] [DOI: 10.25493/SH37-979](https://doi.org/10.25493%2FSH37-979) Eickhoff et al. (2020) [Data set, v11.0] [DOI: 10.25493/9SP6-8HA](https://doi.org/10.25493%2F9SP6-8HA) Eickhoff et al. (2020) [Data set, v12.0] [DOI: 10.25493/8T8D-QZ0](https://doi.org/10.25493%2F8T8D-QZ0) The most probable delineation of Area OP1 (POperc) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53) Amunts et al. (2021) [Data set, v2.6] [DOI: 10.25493/KJQN-AM0](https://doi.org/10.25493%2FKJQN-AM0) Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)
DOI: 10.25919/mkvg-3y13
title: Parkes observations for project PX500 semester 2021APRS_20

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5517/ccdc.csd.cc23fg34
title: CCDC 1949345: Experimental Crystal Structure Determination

description: Related Article: Jeremy D. Mason, Daniel W. Terwilliger, Aditya R. Pote, Andrew G. Myers|2021|J.Am.Chem.Soc.|143|11019|doi:10.1021/jacs.1c03529
DOI: 10.5517/ccdc.csd.cc24swpj
title: CCDC 1990128: Experimental Crystal Structure Determination

description: Related Article: Pratibha Kalaramna, Avijit Goswami|2021|J.Org.Chem.|86|9317|doi:10.1021/acs.joc.1c00478
DOI: 10.6084/m9.figshare.15085853
title: Additional file 11 of The ESCRT-0 subcomplex component Hrs/Hgs is a master regulator of myogenesis via modulation of signaling and degradation pathways

description: Additional file 11. Raw-data-Numerical.
DOI: 10.6084/m9.figshare.15085853.v1
title: Additional file 11 of The ESCRT-0 subcomplex component Hrs/Hgs is a master regulator of myogenesis via modulation of signaling and degradation pathways

description: Additional file 11. Raw-data-Numerical.
DOI: 10.6084/m9.figshare.15085894
title: Additional file 1 of Behaviour of cranes (family Gruidae) mirrors their phylogenetic relationships

description: Additional file 1: Table S1. Compressed description of used behavioural traits. Table S2. Behavioural traits. Table S3. GenBank access numbers of analysed species. Figure S1. Node support values for the phylogenetic tree.
DOI: 10.6084/m9.figshare.15085894.v1
title: Additional file 1 of Behaviour of cranes (family Gruidae) mirrors their phylogenetic relationships

description: Additional file 1: Table S1. Compressed description of used behavioural traits. Table S2. Behavioural traits. Table S3. GenBank access numbers of analysed species. Figure S1. Node support values for the phylogenetic tree.
DOI: 10.6084/m9.figshare.15085897
title: Additional file 2 of Behaviour of cranes (family Gruidae) mirrors their phylogenetic relationships

description: Additional file 2: Table S4. Likelihoods reconstructions of individual traits for particular nodes based on multi-state matrix.
DOI: 10.6084/m9.figshare.15085897.v1
title: Additional file 2 of Behaviour of cranes (family Gruidae) mirrors their phylogenetic relationships

description: Additional file 2: Table S4. Likelihoods reconstructions of individual traits for particular nodes based on multi-state matrix.
DOI: 10.6084/m9.figshare.15085900
title: Additional file 3 of Behaviour of cranes (family Gruidae) mirrors their phylogenetic relationships

description: Additional file 3: Table S5. Likelihoods reconstructions of individual traits for particular nodes based on binary matrix.
DOI: 10.6084/m9.figshare.15085900.v1
title: Additional file 3 of Behaviour of cranes (family Gruidae) mirrors their phylogenetic relationships

description: Additional file 3: Table S5. Likelihoods reconstructions of individual traits for particular nodes based on binary matrix.
DOI: 10.6084/m9.figshare.15085915.v1
title: Additional file 3 of Assessing the antigenicity of different VP3 regions of infectious bursal disease virus in chickens from South Brazil

description: Additional file 3. O.D. values of larger fragments. O.D. average values of 39 antisera samples tested by ELISA sensitized with FA, FM, FP fragments and rVP3.
DOI: 10.6084/m9.figshare.15085918
title: Additional file 4 of Assessing the antigenicity of different VP3 regions of infectious bursal disease virus in chickens from South Brazil

description: Additional file 4. O.D. values of shorter fragments. Description of data: (A) O.D. average values of 39 antisera samples tested by ELISA sensitized with F1, F2, F3, F4, F5, F6, F7 fragments, GFP and rVP3. (B) Optical density average values of 39 antisera samples tested by ELISA subtracting O.D. of GFP from F1, F2, F3, F4, F5, F6, F7 fragments.
DOI: 10.6084/m9.figshare.15085915
title: Additional file 3 of Assessing the antigenicity of different VP3 regions of infectious bursal disease virus in chickens from South Brazil

description: Additional file 3. O.D. values of larger fragments. O.D. average values of 39 antisera samples tested by ELISA sensitized with FA, FM, FP fragments and rVP3.
DOI: 10.6084/m9.figshare.15085918.v1
title: Additional file 4 of Assessing the antigenicity of different VP3 regions of infectious bursal disease virus in chickens from South Brazil

description: Additional file 4. O.D. values of shorter fragments. Description of data: (A) O.D. average values of 39 antisera samples tested by ELISA sensitized with F1, F2, F3, F4, F5, F6, F7 fragments, GFP and rVP3. (B) Optical density average values of 39 antisera samples tested by ELISA subtracting O.D. of GFP from F1, F2, F3, F4, F5, F6, F7 fragments.
DOI: 10.6084/m9.figshare.15085921
title: Additional file 5 of Assessing the antigenicity of different VP3 regions of infectious bursal disease virus in chickens from South Brazil

description: Additional file 5. Repeatability test using ME93 antisera tested in different plates and different days. (A) O.D. average values of ME93 antisera tested by ELISA sensitized with FA, FM, FP fragments and rVP3. (B) O.D. average values of ME93 antisera tested by ELISA sensitized F1, F2, F3, F4, F5, F6, F7, GFP and rVP3. (C) Percentage of O.D. average values of ME93 antisera tested by ELISA sensitized with FA, FM and FP related to rVP3. (D) Percentage of O.D. average values of ME93 antisera tested by ELISA sensitized with F1, F2, F3, F4, F5, F6 and F7 related to rVP3; Percentages inferior to 10% were symbolized as "-"; GFP value of subtracted from fragment values.
DOI: 10.6084/m9.figshare.15085921.v1
title: Additional file 5 of Assessing the antigenicity of different VP3 regions of infectious bursal disease virus in chickens from South Brazil

description: Additional file 5. Repeatability test using ME93 antisera tested in different plates and different days. (A) O.D. average values of ME93 antisera tested by ELISA sensitized with FA, FM, FP fragments and rVP3. (B) O.D. average values of ME93 antisera tested by ELISA sensitized F1, F2, F3, F4, F5, F6, F7, GFP and rVP3. (C) Percentage of O.D. average values of ME93 antisera tested by ELISA sensitized with FA, FM and FP related to rVP3. (D) Percentage of O.D. average values of ME93 antisera tested by ELISA sensitized with F1, F2, F3, F4, F5, F6 and F7 related to rVP3; Percentages inferior to 10% were symbolized as "-"; GFP value of subtracted from fragment values.
DOI: 10.6084/m9.figshare.15085928.v1
title: Additional file 1 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 1: Table S1. A list of all identified proteins.
DOI: 10.6084/m9.figshare.15085928
title: Additional file 1 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 1: Table S1. A list of all identified proteins.
DOI: 10.6084/m9.figshare.15085931
title: Additional file 2 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 2: Table S2. A list of the volcano plots.
DOI: 10.6084/m9.figshare.15085934
title: Additional file 3 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 3: Table S3. A list of the heatmap.
DOI: 10.6084/m9.figshare.15085934.v1
title: Additional file 3 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 3: Table S3. A list of the heatmap.
DOI: 10.6084/m9.figshare.15085931.v1
title: Additional file 2 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 2: Table S2. A list of the volcano plots.
DOI: 10.6084/m9.figshare.15085937
title: Additional file 4 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 4: Table S4. Go analysis of DEPs.
DOI: 10.6084/m9.figshare.15085937.v1
title: Additional file 4 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 4: Table S4. Go analysis of DEPs.
DOI: 10.6084/m9.figshare.15085940
title: Additional file 5 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 5: Table S5. KEGG analysis of DEPs.
DOI: 10.6084/m9.figshare.15085943.v1
title: Additional file 6 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 6: Table S6. The PPI relationships and scores.
DOI: 10.6084/m9.figshare.15085940.v1
title: Additional file 5 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 5: Table S5. KEGG analysis of DEPs.
DOI: 10.6084/m9.figshare.15085943
title: Additional file 6 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 6: Table S6. The PPI relationships and scores.
DOI: 10.6084/m9.figshare.15085946
title: Additional file 7 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 7: Table S7. The details of PPI network.
DOI: 10.6084/m9.figshare.15085946.v1
title: Additional file 7 of iTRAQ-based proteomic analysis of sperm reveals candidate proteins that affect the quality of spermatozoa from boars on plateaus

description: Additional file 7: Table S7. The details of PPI network.
DOI: 10.6084/m9.figshare.15086030.v1
title: Additional file 5 of HumGut: a comprehensive human gut prokaryotic genomes collection filtered by metagenome data

description: Additional file 4. Table S1. Metagenenomes metadata. Table S2. Genomes metadata.
DOI: 10.6084/m9.figshare.15086030
title: Additional file 5 of HumGut: a comprehensive human gut prokaryotic genomes collection filtered by metagenome data

description: Additional file 4. Table S1. Metagenenomes metadata. Table S2. Genomes metadata.
DOI: 10.6084/m9.figshare.15086041
title: Additional file 10 of Age-related susceptibility to insulin resistance arises from a combination of CPT1B decline and lipid overload

description: Additional file 10. All supporting data values.
DOI: 10.6084/m9.figshare.15086041.v1
title: Additional file 10 of Age-related susceptibility to insulin resistance arises from a combination of CPT1B decline and lipid overload

description: Additional file 10. All supporting data values.
DOI: 10.6084/m9.figshare.15086050.v1
title: Additional file 3 of Age-related susceptibility to insulin resistance arises from a combination of CPT1B decline and lipid overload

description: Additional file 3. Lipidomics dataset.
DOI: 10.6084/m9.figshare.15086050
title: Additional file 3 of Age-related susceptibility to insulin resistance arises from a combination of CPT1B decline and lipid overload

description: Additional file 3. Lipidomics dataset.
DOI: 10.6084/m9.figshare.15086053.v1
title: Additional file 4 of Age-related susceptibility to insulin resistance arises from a combination of CPT1B decline and lipid overload

description: Additional file 4. Proteomics dataset.
DOI: 10.6084/m9.figshare.15086053
title: Additional file 4 of Age-related susceptibility to insulin resistance arises from a combination of CPT1B decline and lipid overload

description: Additional file 4. Proteomics dataset.
DOI: 10.6084/m9.figshare.15086056
title: Additional file 5 of Age-related susceptibility to insulin resistance arises from a combination of CPT1B decline and lipid overload

description: Additional file 5. Average proteomics.
DOI: 10.6084/m9.figshare.15086056.v1
title: Additional file 5 of Age-related susceptibility to insulin resistance arises from a combination of CPT1B decline and lipid overload

description: Additional file 5. Average proteomics.
DOI: 10.6084/m9.figshare.15086065.v1
title: Additional file 8 of Age-related susceptibility to insulin resistance arises from a combination of CPT1B decline and lipid overload

description: Additional file 8. Vmax values.
DOI: 10.6084/m9.figshare.15086065
title: Additional file 8 of Age-related susceptibility to insulin resistance arises from a combination of CPT1B decline and lipid overload

description: Additional file 8. Vmax values.
DOI: 10.6084/m9.figshare.15086122
title: Additional file 1 of Histone H2A.X phosphorylation and Caspase-Initiated Chromatin Condensation in late-stage erythropoiesis

description: Additional file 1. Differentially expressed genes (DEGs) derived from RNA-seq analyses of wild-type (wt) vs. H2A.X or BAZ1B knockout HUDEP-2 cell lines. Contains lists of DEGs (log base 2 +/−1.5 change) identified by comparison of wt vs. H2A.X KO lines, or of wt vs. BAZ1B KO lines, at d0 and d6 of maturation.
DOI: 10.6084/m9.figshare.15086122.v1
title: Additional file 1 of Histone H2A.X phosphorylation and Caspase-Initiated Chromatin Condensation in late-stage erythropoiesis

description: Additional file 1. Differentially expressed genes (DEGs) derived from RNA-seq analyses of wild-type (wt) vs. H2A.X or BAZ1B knockout HUDEP-2 cell lines. Contains lists of DEGs (log base 2 +/−1.5 change) identified by comparison of wt vs. H2A.X KO lines, or of wt vs. BAZ1B KO lines, at d0 and d6 of maturation.
DOI: 10.6084/m9.figshare.15086174.v1
title: Additional file 1 of Obstructive sleep apnea increases the risk of cardiovascular damage: a systematic review and meta-analysis of imaging studies

description: Additional file 1: Table S1 A example of search strategies. Table S2 Equations. Table S3 Certainty of evidence. Figure S1 Forest plot. Figure S2 Funnel plot. Figure S3 Sensitivity plot.
DOI: 10.6084/m9.figshare.15086174
title: Additional file 1 of Obstructive sleep apnea increases the risk of cardiovascular damage: a systematic review and meta-analysis of imaging studies

description: Additional file 1: Table S1 A example of search strategies. Table S2 Equations. Table S3 Certainty of evidence. Figure S1 Forest plot. Figure S2 Funnel plot. Figure S3 Sensitivity plot.
DOI: 10.6084/m9.figshare.15086221.v1
title: Additional file 4 of How do lizard niches conserve, diverge or converge? Further exploration of saurian evolutionary ecology

description: Additional file 4. Proportion of described species included in this study for each family and Clade. Number of described species according to The Reptile Database (Uetz et al. 2020) [26].
DOI: 10.6084/m9.figshare.15086218.v1
title: Additional file 2 of How do lizard niches conserve, diverge or converge? Further exploration of saurian evolutionary ecology

description: Additional file 3. List of species included in this study, detailing functional group membership for each species.
DOI: 10.6084/m9.figshare.15086221
title: Additional file 4 of How do lizard niches conserve, diverge or converge? Further exploration of saurian evolutionary ecology

description: Additional file 4. Proportion of described species included in this study for each family and Clade. Number of described species according to The Reptile Database (Uetz et al. 2020) [26].
DOI: 10.6084/m9.figshare.15086218
title: Additional file 2 of How do lizard niches conserve, diverge or converge? Further exploration of saurian evolutionary ecology

description: Additional file 3. List of species included in this study, detailing functional group membership for each species.