cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bn1rt
title: CCDC 2164226: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Frossard, Nils Trapp, Karl‐Heinz Altmann|2022|Eur.J.Org.Chem.|2022|e202200761|doi:10.1002/ejoc.202200761
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.cc2c4st4
title: CCDC 2179356: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Frossard, Nils Trapp, Karl‐Heinz Altmann|2022|Eur.J.Org.Chem.|2022|e202200761|doi:10.1002/ejoc.202200761
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.cc2c4sv5
title: CCDC 2179357: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Frossard, Nils Trapp, Karl‐Heinz Altmann|2022|Eur.J.Org.Chem.|2022|e202200761|doi:10.1002/ejoc.202200761
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.cc2c4sw6
title: CCDC 2179358: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Frossard, Nils Trapp, Karl‐Heinz Altmann|2022|Eur.J.Org.Chem.|2022|e202200761|doi:10.1002/ejoc.202200761
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.cc2c4sx7
title: CCDC 2179359: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Frossard, Nils Trapp, Karl‐Heinz Altmann|2022|Eur.J.Org.Chem.|2022|e202200761|doi:10.1002/ejoc.202200761
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: 10.3886/e179341
title: Learning-Mode Choice, Student Engagement, and Achievement Growth During the COVID-19 Pandemic

description: The COVID-19 pandemic resulted in an unanticipated, near-universal shift from in-person to virtual instruction in spring 2020. During the 2020-21 school year, schools began to re-open, and families were faced with decisions regarding the instructional mode for their children. We leverage administrative, survey, and virtual-learning data to examine the determinants of family learning mode choice and associations between virtual education, student engagement, and academic achievement. Family preference for virtual (versus face-to-face) instruction was highly associated with subsequent school-level infection rates and appeared relatively uniform within schools. We find that students assigned to a higher proportion of instructional days in virtual mode experienced higher rates of attendance, but also negative achievement growth compared to students who were assigned a higher proportion of instructional days in face-to-face mode. Insights from this study can be used to better understand family preferences as well as to target and refine virtual learning in a post-COVID-19 society.
DOI: 10.3886/e179341v1
title: Learning-Mode Choice, Student Engagement, and Achievement Growth During the COVID-19 Pandemic

description: The COVID-19 pandemic resulted in an unanticipated, near-universal shift from in-person to virtual instruction in spring 2020. During the 2020-21 school year, schools began to re-open, and families were faced with decisions regarding the instructional mode for their children. We leverage administrative, survey, and virtual-learning data to examine the determinants of family learning mode choice and associations between virtual education, student engagement, and academic achievement. Family preference for virtual (versus face-to-face) instruction was highly associated with subsequent school-level infection rates and appeared relatively uniform within schools. We find that students assigned to a higher proportion of instructional days in virtual mode experienced higher rates of attendance, but also negative achievement growth compared to students who were assigned a higher proportion of instructional days in face-to-face mode. Insights from this study can be used to better understand family preferences as well as to target and refine virtual learning in a post-COVID-19 society.
DOI: 10.6084/m9.figshare.20949091.v1
title: potamarius_nelsoni_ragtag_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.20949091
title: potamarius_nelsoni_ragtag_1.fasta.gz

description: ......
DOI: 10.5281/zenodo.4026112
title: MAGpurify2 database

description: MMSeqs2 database to use with MAGpurify2 for identification of contaminants in metagenome-assembled genomes. Based on GTDB Release 05-RS95.
DOI: 10.5281/zenodo.3817701
title: MAGpurify2 database

description: MMSeqs2 database to use with MAGpurify2 for identification of contaminants in metagenome-assembled genomes. Based on GTDB Release 05-RS95.
DOI: 10.6084/m9.figshare.20949460
title: arius_nenga_ragtag_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20949460.v1
title: arius_nenga_ragtag_1.fasta.gz

description: .......
DOI: 10.5281/zenodo.6514296
title: NUTS-RDF in GeoSPARQL

description: The NUTS (Nomenclature of territorial units for statistics classification) representing the regions in the EU have been converted from NeoGeo to GeoSPARQL structures using a Construct SPARQL query. The purpose of the conversion is to enable GeoSPARQL spatial reasoning features for geometry-based queries. The nuts-rdf file used as input in the conversion process is http://nuts.geovocab.org/data/0.91/nuts-rdf-0.91.ttl, which contains a dump from all the regions in the EU defined in 2013. The nuts-rdf file has been uploaded to a triplestore, and then, the following Construct SPARQL query was run to generate the EU-nuts-rdf-geosparql.ttl file. PREFIX rdf: &lt;http://www.w3.org/1999/02/22-rdf-syntax-ns#&gt;<br> PREFIX nuts: &lt;http://nuts.geovocab.org/id/&gt;<br> PREFIX ngeo: &lt;http://geovocab.org/geometry#&gt;<br> PREFIX geo: &lt;http://www.w3.org/2003/01/geo/wgs84_pos#&gt;<br> PREFIX geosparql: &lt;http://www.opengis.net/ont/geosparql#&gt;<br> PREFIX dc: &lt;http://purl.org/dc/elements/1.1/&gt;<br> PREFIX rdfs: &lt;http://www.w3.org/2000/01/rdf-schema#&gt;<br> PREFIX ramon: &lt;http://rdfdata.eionet.europa.eu/ramon/ontology/&gt; CONSTRUCT { <br> ?entity a geosparql:Feature ;<br> geosparql:hasGeometry ?entityGeo ;<br> rdfs:label ?label ;<br> ramon:name ?name ;<br> ramon:level ?level ;<br> ramon:code ?code .<br> ?entityGeo a geosparql:Geometry ;<br> dc:rights ?entityrights ;<br> geosparql:asWKT ?polygon .<br> }<br> WHERE {<br> {<br> SELECT ?entity (GROUP_CONCAT(?lonlatpair; separator=", ") AS ?lonlatlist)<br> WHERE {<br> {<br> SELECT ?entity ?list<br> WHERE{<br> ?entity ngeo:geometry/ngeo:exterior/ngeo:posList ?list .<br> }<br> }<br> ?list rdf:rest* [ rdf:first ?item ] .<br> ?item geo:long ?lon ;<br> geo:lat ?lat .<br> BIND(CONCAT(?lon, " ", ?lat) AS ?lonlatpair)<br> }<br> GROUP BY ?entity<br> }<br> # Get entity descriptors<br> ?entity ngeo:geometry/dc:rights ?entityrights .<br> ?entity rdfs:label ?label ;<br> ramon:name ?name ;<br> ramon:level ?level ;<br> ramon:code ?code .<br> # Define uri for the geometry<br> BIND(IRI(CONCAT(STR(?entity), "-geo")) AS ?entityGeo)<br> BIND(STRDT(CONCAT("POLYGON ((",STR(?lonlatlist), "))"), geosparql:wktLiteral)AS ?polygon)<br> }
description: Please cite this DOI in your work if using or referring to this dataset.
DOI: 10.5281/zenodo.6514295
title: NUTS-RDF in GeoSPARQL

description: The NUTS (Nomenclature of territorial units for statistics classification) representing the regions in the EU have been converted from NeoGeo to GeoSPARQL structures using a Construct SPARQL query. The purpose of the conversion is to enable GeoSPARQL spatial reasoning features for geometry-based queries. The nuts-rdf file used as input in the conversion process is http://nuts.geovocab.org/data/0.91/nuts-rdf-0.91.ttl, which contains a dump from all the regions in the EU defined in 2013. The nuts-rdf file has been uploaded to a triplestore, and then, the following Construct SPARQL query was run to generate the EU-nuts-rdf-geosparql.ttl file. PREFIX rdf: &lt;http://www.w3.org/1999/02/22-rdf-syntax-ns#&gt;<br> PREFIX nuts: &lt;http://nuts.geovocab.org/id/&gt;<br> PREFIX ngeo: &lt;http://geovocab.org/geometry#&gt;<br> PREFIX geo: &lt;http://www.w3.org/2003/01/geo/wgs84_pos#&gt;<br> PREFIX geosparql: &lt;http://www.opengis.net/ont/geosparql#&gt;<br> PREFIX dc: &lt;http://purl.org/dc/elements/1.1/&gt;<br> PREFIX rdfs: &lt;http://www.w3.org/2000/01/rdf-schema#&gt;<br> PREFIX ramon: &lt;http://rdfdata.eionet.europa.eu/ramon/ontology/&gt; CONSTRUCT { <br> ?entity a geosparql:Feature ;<br> geosparql:hasGeometry ?entityGeo ;<br> rdfs:label ?label ;<br> ramon:name ?name ;<br> ramon:level ?level ;<br> ramon:code ?code .<br> ?entityGeo a geosparql:Geometry ;<br> dc:rights ?entityrights ;<br> geosparql:asWKT ?polygon .<br> }<br> WHERE {<br> {<br> SELECT ?entity (GROUP_CONCAT(?lonlatpair; separator=", ") AS ?lonlatlist)<br> WHERE {<br> {<br> SELECT ?entity ?list<br> WHERE{<br> ?entity ngeo:geometry/ngeo:exterior/ngeo:posList ?list .<br> }<br> }<br> ?list rdf:rest* [ rdf:first ?item ] .<br> ?item geo:long ?lon ;<br> geo:lat ?lat .<br> BIND(CONCAT(?lon, " ", ?lat) AS ?lonlatpair)<br> }<br> GROUP BY ?entity<br> }<br> # Get entity descriptors<br> ?entity ngeo:geometry/dc:rights ?entityrights .<br> ?entity rdfs:label ?label ;<br> ramon:name ?name ;<br> ramon:level ?level ;<br> ramon:code ?code .<br> # Define uri for the geometry<br> BIND(IRI(CONCAT(STR(?entity), "-geo")) AS ?entityGeo)<br> BIND(STRDT(CONCAT("POLYGON ((",STR(?lonlatlist), "))"), geosparql:wktLiteral)AS ?polygon)<br> }
description: Please cite this DOI in your work if using or referring to this dataset.
DOI: 10.5281/zenodo.7051384
title: Band structure of KTaO3 two dimensional electron gas: ARPES data and tight binding fits

description: The dataset contains the angle resolved photoemission spectroscopy measurements of the band structure of the two dimensional electron gas generated at the KTaO3/Al interface. Both dispersion and constant energy maps near the Fermi level are provided. The experimental data are complemented with tight binding fits (eight bands).
DOI: 10.5281/zenodo.7051383
title: Band structure of KTaO3 two dimensional electron gas: ARPES data and tight binding fits

description: The dataset contains the angle resolved photoemission spectroscopy measurements of the band structure of the two dimensional electron gas generated at the KTaO3/Al interface. Both dispersion and constant energy maps near the Fermi level are provided. The experimental data are complemented with tight binding fits (eight bands).
DOI: 10.6084/m9.figshare.20059259.v2
title: The Multi-Component Gratitude Measure (MCGM): validation study in Spanish adults

description: La base de datos incluye: 1. Información sociodemográfica de los participantes; y puntuación total y por ítem de las escalas 2. MCGM; 3. CQ-6; 4. SWLS; 5. SHS; 6. GHQ-12; y 7. PANAS
DOI: 10.5281/zenodo.7048725
title: Datasets from "Electrostatic Embedding of Machine Learning potentials" article

description: Data required to reproduce results in "Electrostatic embedding of machine learning potentials" article. See https://github.com/emedio/embedding for details. QM7_B3LYP_cc-pVTZ.tgz - outputs of single point B3LYP/cc-pVTZ calculations of structures in QM7 dataset with ORCA 5. Include molecular dipolar polarizabilities. QM7_B3LYP_cc-pVTZ_horton.tgz - MBIS partitioning of the B3LYP/cc-pVTZ densities with Horton 2.1.0. mpro_xyz.tgz - coordinates of the ligand and surrounding point charges from 100 snapshots of SARS-CoV-2 Mpro complex with PF-00835231. mpro_*.tgz - DFT and semiempirical single point calculations with ORCA 5 for the coordinates from mpro_xyz.tgz, <em>in vacuo </em>and in presence of point charges.
DOI: 10.22003/xfel.eu-data-003094-00
title: Probing Dynamics of Protein Cluster Formation with MHz-XPCS
DOI: 10.25919/qmy4-p094
title: Parkes observations for project P971 semester 2022APRS_06

description: We propose further timing observations of the relativistic pulsar - white-dwarf binary, PSR J1141$-$6545. This unique system offers access to a wide range of physics, from relativistic phenomena through pulsar emission cone studies, to the structure and distribution of interstellar plasma along our line-of-sight. The analysis of existing data has already revealed the first detection of Lense-Thirring precession in a binary star system, and hinted at complex emission beam structure probed via geodetic precession. Further timing of this system for the next few years is needed for studies of these effects at higher precision.
DOI: 10.5281/zenodo.6583322
title: HOIP-ensembles-Kausas-et-al

description: Supplementary data for "Characterisation of HOIP RBR E3 ligase conformational dynamics using integrative modelling"
DOI: 10.5281/zenodo.6583323
title: HOIP-ensembles-Kausas-et-al

description: Supplementary data for "Characterisation of HOIP RBR E3 ligase conformational dynamics using integrative modelling"
DOI: 10.5281/zenodo.6583368
title: HOIP-ensembles-Kausas-et-al

description: Supplementary data for "Characterisation of HOIP RBR E3 ligase conformational dynamics using integrative modelling"
DOI: 10.5281/zenodo.7041795
title: HOIP-ensembles-Kausas-et-al

description: Supplementary data for "Characterisation of HOIP RBR E3 ligase conformational dynamics using integrative modelling"
DOI: 10.5281/zenodo.7051785
title: Datasets from "Electrostatic Embedding of Machine Learning Potentials"

description: Data required to reproduce results in "Electrostatic Embedding of Machine Learning Potentials" article. See https://github.com/emedio/embedding for details. QM7_B3LYP_cc-pVTZ.tgz - outputs of single point B3LYP/cc-pVTZ calculations of structures in QM7 dataset with ORCA 5. Include molecular dipolar polarizabilities. QM7_B3LYP_cc-pVTZ_horton.tgz - MBIS partitioning of the B3LYP/cc-pVTZ densities with Horton 2.1.0. mpro_xyz.tgz - coordinates of the ligand and surrounding point charges from 100 snapshots of SARS-CoV-2 Mpro complex with PF-00835231. mpro_*.tgz - DFT and semiempirical single point calculations with ORCA 5 for the coordinates from mpro_xyz.tgz, <em>in vacuo </em>and in presence of point charges. mlmm.mat - learned parameters and SOAP feature vectors of reference atomic environments
DOI: 10.5281/zenodo.7048724
title: Datasets from "Electrostatic Embedding of Machine Learning Potentials"

description: Data required to reproduce results in "Electrostatic Embedding of Machine Learning Potentials" article. See https://github.com/emedio/embedding for details. QM7_B3LYP_cc-pVTZ.tgz - outputs of single point B3LYP/cc-pVTZ calculations of structures in QM7 dataset with ORCA 5. Include molecular dipolar polarizabilities. QM7_B3LYP_cc-pVTZ_horton.tgz - MBIS partitioning of the B3LYP/cc-pVTZ densities with Horton 2.1.0. mpro_xyz.tgz - coordinates of the ligand and surrounding point charges from 100 snapshots of SARS-CoV-2 Mpro complex with PF-00835231. mpro_*.tgz - DFT and semiempirical single point calculations with ORCA 5 for the coordinates from mpro_xyz.tgz, <em>in vacuo </em>and in presence of point charges. mlmm.mat - learned parameters and SOAP feature vectors of reference atomic environments
DOI: 10.5517/ccdc.csd.cc2d0vx6
title: CCDC 2205368: Experimental Crystal Structure Determination

description: Related Article: Hao Wu|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25919/rtg6-2s78
title: Parkes pulsar observations with undefined project IDs for 2022APRS_14

description: Parkes pulsar observations with undefined project IDs for 2022APRS. This collection contains observations from project IDs PX071 and PX089.
DOI: 10.25919/63k9-6m79
title: Parkes observations for project P737 semester 2022APRS_10

description: The aim of this proposal is to carry out tests of the new backend instruments which cannot be carried out during standard maintenance periods. The scheduled time is used to measure beam shapes, determine polarisation calibration solutions and commission the National Facility observing modes for the new wide-band receiver.
DOI: 10.6084/m9.figshare.3761562.v2332
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.17909/6r71-f030
title: HST search of Phaethon's fragment

description: HST search of Phaethon's fragment
DOI: 10.5281/zenodo.6992402
title: Supplementary Data of "Introgression between highly divergent sea squirt genomes: an adaptive breakthrough?"

description: <strong>Datasets used in the analyses (see Table S5 for a detailed description).</strong> ► Dataset #1: phased SNPs with offspring.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_phased_phasedBeagle.vcf<br> ► Dataset #2: all SNPs with missing data.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_parents_oNA5.vcf<br> ► Dataset #3a: phased SNPs.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_phased_phasedBeagle_parents.vcf<br> ► Dataset #3b: CDS version of “phased SNPs”.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_phased_phasedBeagle_parents_SNP_CHRall.orf.cds<br> ► Dataset #3c: FASTA version of “phased SNPs”.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_phased_phasedBeagle_parents_SNP_chr5.sub_${START}-${END}.fasta<br> ► Dataset #4: ancestry informative phased SNPs.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_phased_phasedBeagle_parents.frq.fixed.vcf<br> ► Dataset #5: all SNPs.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_parents_oNA.vcf<br> ► Dataset #6: all polarized SNPs.<br> joint_bwa_mem_mdup_IR_recal_variants_refine_HQ_denovo_Oad18ad31ad2.clean.biallelic.noindels_filter_parents_raw_refine_HQ_edwardsi_oNA3_polar.vcf<br> ► Dataset #7: unfiltered mapping files.<br> ciona_bwa-mapping_${IND}_bwa_mem_mdup_IR_chromosome5:700000-1500000_sorted_nodup.bam
DOI: 10.5281/zenodo.7051905
title: MURA-SEG

description: MURA sample ELBOW Images and masks for Segmentation with MONAI (Vision Swin Transformer + UNET )
DOI: 10.5281/zenodo.7051904
title: MURA-SEG

description: MURA sample ELBOW Images and masks for Segmentation with MONAI (Vision Swin Transformer + UNET )
DOI: 10.6084/m9.figshare.20950069
title: genidens_machadoi_ragtag_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.20950069.v1
title: genidens_machadoi_ragtag_1.fasta.gz

description: ......
DOI: 10.6073/pasta/bf879c26a79b89ea8e99d33f061b9b04
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP C-CALI met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.20949910
title: arius_midgleyi_ragtag_1.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.20949910.v1
title: arius_midgleyi_ragtag_1.fasta.gz

description: ........
DOI: 10.6073/pasta/1d27926ae8eb1ef4ea918bff53c88299
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP C-CALI met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/f1d9b80f297c69c7f696e004771c424c
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: 30-minute summary data: 2013 - ongoing

description: 30-minute summary data at NPP C-CALI met station. Average air temperature, relative humidity, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/7c0c22d45661590799277d4aac879f66
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP C-CALI met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.