cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7343175
title: ab initio REPEAT Charge MOF Database (ARC-MOF)

description: This is a database of ~280,000 MOFs which have been either experimentally characterized or computationally generated, spanning all publicly available MOF databases. DFT-derived REPEAT charges, adsorption data, and various descriptors are available for all MOFs. <em>all_structures_1.tar.gz</em> and <em>all_structures_2.tar.gz</em> – these are the cif files that were considered to compose the “entire known design space” of MOFs, with any bad structures removed (split into two separate tarballs since it is a lot of data). <em>ARCMOF_20220610.tar.gz</em> – these are all of the cif files with REPEAT charges composing ARC-MOF. <em>flig-clusters.csv, func-clusters.csv, geo-clusters.csv, mc-clusters.csv</em> – Each file indicates for each MOF which cluster it belongs to, and whether the MOF is present in ARC-MOF. This is done for each "type" of MOF chemistry and for the geometric properties. Clusters with a negative value indicate the MOF does not belong to any cluster (i.e., it is assumed to be "unique"). <em>all_topology_lists.csv</em> – a csv file containing the topology reported by the filename of applicable structures, and the topology reported by CrystalNets.jl ML_test_set.tar.gz – these are the cif files (with REPEAT charges) of the MOFs in the diverse-mc subset, but missing from ARC-MOF (for the purposes of a ML test set for the prediction of metal charges). <em>geometric_properties.csv</em> – a csv file containing geometric descriptors computed for this study for all MOFs. The csv file also indicates which MOFs are present in ARC-MOF, and the order in which they were chosen for the farthest point sampling (up to 100K MOFs). <em>RACs.csv</em> – See geometric_properties.csv description. Same type of file, but with the RAC descriptors. <em>RDFs</em>.csv – The RDFs for each MOF, using several atomic properties. Some atomic properties are not available for all elements. In the cases where the atomic property is not available for a particular structure, no value is assigned. <em>methane.csv, methane_purification-CH4.csv, methane_purification_CO2.csv, post_comb_vsa-CO2.csv, post_comb_vsa-N2.csv, pre_comb_4040-CO2.csv, pre_comb_4040-H2.csv, landfill-CH4.csv, landfill-CO2.csv</em> – these are csv files of the raw uptake data and various temperature, pressure conditions (with standard deviations) for each gas separation process specified in the file <em>overall_process.csv</em>. <em>overall_process.csv</em> – This is a csv file of the adsorption properties of the MOFs. Particularly, the csv files contain the working capacity (mmol/g_working_capacity) and selectivity of each MOF for each of the five process conditions. <em>mc-diverse-set.csv, func-diverse-set.csv</em> – csv files containing which MOFs are present in each diverse set (from farthest point sampling of the MOFs based on either their functional group chemistry or metal chemistry). The file indicates which MOFs are present in ARC-MOF and which are not. Version history of repository: v2 -- added file: "all_topology_lists.csv" v3 -- added file: "ML_test_set.tar.gz"
DOI: 10.5281/zenodo.6963079
title: ab initio REPEAT Charge MOF Database (ARC-MOF)

description: This is a database of ~280,000 MOFs which have been either experimentally characterized or computationally generated, spanning all publicly available MOF databases. DFT-derived REPEAT charges, adsorption data, and various descriptors are available for all MOFs. <em>all_structures_1.tar.gz</em> and <em>all_structures_2.tar.gz</em> – these are the cif files that were considered to compose the “entire known design space” of MOFs, with any bad structures removed (split into two separate tarballs since it is a lot of data). <em>ARCMOF_20220610.tar.gz</em> – these are all of the cif files with REPEAT charges composing ARC-MOF. <em>flig-clusters.csv, func-clusters.csv, geo-clusters.csv, mc-clusters.csv</em> – Each file indicates for each MOF which cluster it belongs to, and whether the MOF is present in ARC-MOF. This is done for each "type" of MOF chemistry and for the geometric properties. Clusters with a negative value indicate the MOF does not belong to any cluster (i.e., it is assumed to be "unique"). <em>all_topology_lists.csv</em> – a csv file containing the topology reported by the filename of applicable structures, and the topology reported by CrystalNets.jl <em>geometric_properties.csv</em> – a csv file containing geometric descriptors computed for this study for all MOFs. The csv file also indicates which MOFs are present in ARC-MOF, and the order in which they were chosen for the farthest point sampling (up to 100K MOFs). <em>RACs.csv</em> – See geometric_properties.csv description. Same type of file, but with the RAC descriptors. <em>RDFs</em>.csv – The RDFs for each MOF, using several atomic properties. Some atomic properties are not available for all elements. In the cases where the atomic property is not available for a particular structure, no value is assigned. <em>methane.csv, methane_purification-CH4.csv, methane_purification_CO2.csv, post_comb_vsa-CO2.csv, post_comb_vsa-N2.csv, pre_comb_4040-CO2.csv, pre_comb_4040-H2.csv, landfill-CH4.csv, landfill-CO2.csv</em> – these are csv files of the raw uptake data and various temperature, pressure conditions (with standard deviations) for each gas separation process specified in the file <em>overall_process.csv</em>. <em>overall_process.csv</em> – This is a csv file of the adsorption properties of the MOFs. Particularly, the csv files contain the working capacity (mmol/g_working_capacity) and selectivity of each MOF for each of the five process conditions. <em>mc-diverse-set.csv, func-diverse-set.csv</em> – csv files containing which MOFs are present in each diverse set (from farthest point sampling of the MOFs based on either their functional group chemistry or metal chemistry). The file indicates which MOFs are present in ARC-MOF and which are not.
DOI: 10.15468/dl.xw7m8p
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.07533 28.91352,-89.12547 28.91352,-89.12547 30.87729,-93.07533 30.87729,-93.07533 28.91352))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)"
 ]
}

 The dataset includes 407 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041565-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6d45e
title: Occurrence Download

description: A dataset containing 10748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dactylortyx thoracicus (Gambel, 1848)"
 ]
}

 The dataset includes 10748 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041564-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6k8gfj
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-64.35616 -15.03682,-64.35616 -15.03682,-65.1771 -29.67091,-52.9133 -30.35196,-49.71936 -15.03682,-64.35616 -15.03682))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Serrapinnus microdon (Eigenmann, 1915)"
 ]
}

 The dataset includes 73 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041566-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ds9khj
title: Occurrence Download

description: A dataset containing 170471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((6.585665 51.34899, 7.289968 51.34899, 7.289968 51.62918, 6.585665 51.62918, 6.585665 51.34899))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 170471 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041556-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11392076
title: Active Cloud Regimes of cloud vertical structure from active observations

description: We introduce a new type of cloud class, which we call “active cloud regime” (ACR), owing to its provenance from active (lidar and cloud radar) spaceborne cloud observations. The ACR flavor of this work describes prevalent monthly mixtures at ~400 km scales of previously introduced cloud vertical structures (CVS) inferred from instantaneous ~ 2 km observations. ACRs thus constitute a gridded cloud dataset generated from the vertically-resolved cloud mask available from the 2B-CLDCLASS-LIDAR CloudSat dataset fusing CALIPSO (lidar) and CloudSat (cloud radar) cloud retrievals. We show that the global classification of cloudiness under the ACR framework provides valuable insights on how the world’s cloud systems affect atmospheric energetics. Using NASA’s GEOS model, we also demonstrate that it is possible to apply the ACR concept to Earth System Models that have the capability to produce subgrid cloudiness obeying pre-specified vertical overlap rules, providing thus another means to assess the realism of simulated clouds.

The Cloud Vertical Structure dataset, Active Cloud Regime for observation and the model, and data that supports the figures have been uploaded.
DOI: 10.5281/zenodo.11392077
title: Active Cloud Regimes of cloud vertical structure from active observations

description: We introduce a new type of cloud class, which we call “active cloud regime” (ACR), owing to its provenance from active (lidar and cloud radar) spaceborne cloud observations. The ACR flavor of this work describes prevalent monthly mixtures at ~400 km scales of previously introduced cloud vertical structures (CVS) inferred from instantaneous ~ 2 km observations. ACRs thus constitute a gridded cloud dataset generated from the vertically-resolved cloud mask available from the 2B-CLDCLASS-LIDAR CloudSat dataset fusing CALIPSO (lidar) and CloudSat (cloud radar) cloud retrievals. We show that the global classification of cloudiness under the ACR framework provides valuable insights on how the world’s cloud systems affect atmospheric energetics. Using NASA’s GEOS model, we also demonstrate that it is possible to apply the ACR concept to Earth System Models that have the capability to produce subgrid cloudiness obeying pre-specified vertical overlap rules, providing thus another means to assess the realism of simulated clouds.

The Cloud Vertical Structure dataset, Active Cloud Regime for observation and the model, and data that supports the figures have been uploaded.
DOI: 10.5281/zenodo.13891853
title: Active Cloud Regimes of cloud vertical structure from active observations

description: We introduce a new type of cloud class, which we call “active cloud regime” (ACR), owing to its provenance from active (lidar and cloud radar) spaceborne cloud observations. The ACR flavor of this work describes prevalent monthly mixtures at ~400 km scales of previously introduced cloud vertical structures (CVS) inferred from instantaneous ~ 2 km observations. ACRs thus constitute a gridded cloud dataset generated from the vertically-resolved cloud mask available from the 2B-CLDCLASS-LIDAR CloudSat dataset fusing CALIPSO (lidar) and CloudSat (cloud radar) cloud retrievals. We show that the global classification of cloudiness under the ACR framework provides valuable insights on how the world’s cloud systems affect atmospheric energetics. Using NASA’s GEOS model, we also demonstrate that it is possible to apply the ACR concept to Earth System Models that have the capability to produce subgrid cloudiness obeying pre-specified vertical overlap rules, providing thus another means to assess the realism of simulated clouds.

The Cloud Vertical Structure dataset, Active Cloud Regime for observation and the model, and data that supports the figures have been uploaded.
DOI: 10.15468/dl.xukku4
title: Occurrence Download

description: A dataset containing 42371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cypseloides niger (J.F.Gmelin, 1789)"
 ]
}

 The dataset includes 42371 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041569-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13020/0bwb-h520
title: Dataset supporting "Evidence of Rhythmic masking Release in Cope's gray treefrog"

description: The two dataset files correspond to the experimental and control behavioral data supporting the manuscript "Evidence of Rhythmic Masking Release in Cope's gray treefrog". This work investigates if a release from masking of a Target signal, in presence of a Distractor, is induced upon the further addition of a Captor stimulus. Four behavioral tests were preformed wherein Target signal was presented by itself, in presence of Distractor, Captor or both the Distractor and the Captor. The proportion of subjects responding to the experimental stimuli was recorded and compared between the four main tests. Additionally, four control tests were performed to confirm the behavioral neutrality of Distractor and Captor. In the control tests, the Distractor and the Captor were presented by themselves or in combination with each other. For each control test, the angle of the subject's first point of contact with the arena wall was recorded in relation to the active speaker. The angular distribution was analyzed to test if the angles were uniformly distributed (behaviorally neutral) or were clustered towards of away from the active speaker (behaviorally attractive or aversive, respectively).
description: Two datafiles included here correspond to the main behavioral tests and the corresponding controls.
DOI: 10.15468/dl.nmqvya
title: Occurrence Download

description: A dataset containing 1944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Panyptila sanctihieronymi Salvin, 1863"
 ]
}

 The dataset includes 1944 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041570-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60905/jrzo7o
title: Dataset prueba - Flujo de Trabajo

description: pruebas
DOI: 10.60905/wmwyxn
title: Dataset 3

description: prueba
DOI: 10.15468/dl.q36q4m
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mesopolobus verditer (Norton, 1869)"
 ]
}

 The dataset includes 289 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041571-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2h5ky6
title: CCDC 2299268: Experimental Crystal Structure Determination

description: Related Article: Lucía Álvarez-Miguel, Clara del Carmen-Rodríguez, María Valle, Celedonio M. Álvarez, José M. Martín-Álvarez, Raúl García-Rodríguez, Daniel Miguel|2024|Dalton Trans.|53|15101|doi:10.1039/D4DT01915F
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.cc2hh8t3
title: CCDC 2308595: Experimental Crystal Structure Determination

description: Related Article: Lucía Álvarez-Miguel, Clara del Carmen-Rodríguez, María Valle, Celedonio M. Álvarez, José M. Martín-Álvarez, Raúl García-Rodríguez, Daniel Miguel|2024|Dalton Trans.|53|15101|doi:10.1039/D4DT01915F
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.cc2h5kz7
title: CCDC 2299269: Experimental Crystal Structure Determination

description: Related Article: Lucía Álvarez-Miguel, Clara del Carmen-Rodríguez, María Valle, Celedonio M. Álvarez, José M. Martín-Álvarez, Raúl García-Rodríguez, Daniel Miguel|2024|Dalton Trans.|53|15101|doi:10.1039/D4DT01915F
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.cc2h5m2d
title: CCDC 2299303: Experimental Crystal Structure Determination

description: Related Article: Lucía Álvarez-Miguel, Clara del Carmen-Rodríguez, María Valle, Celedonio M. Álvarez, José M. Martín-Álvarez, Raúl García-Rodríguez, Daniel Miguel|2024|Dalton Trans.|53|15101|doi:10.1039/D4DT01915F
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.cc2h5swc
title: CCDC 2299483: Experimental Crystal Structure Determination

description: Related Article: Lucía Álvarez-Miguel, Clara del Carmen-Rodríguez, María Valle, Celedonio M. Álvarez, José M. Martín-Álvarez, Raúl García-Rodríguez, Daniel Miguel|2024|Dalton Trans.|53|15101|doi:10.1039/D4DT01915F
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.cc2h6ht1
title: CCDC 2300163: Experimental Crystal Structure Determination

description: Related Article: Lucía Álvarez-Miguel, Clara del Carmen-Rodríguez, María Valle, Celedonio M. Álvarez, José M. Martín-Álvarez, Raúl García-Rodríguez, Daniel Miguel|2024|Dalton Trans.|53|15101|doi:10.1039/D4DT01915F
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.cc2hh8s2
title: CCDC 2308594: Experimental Crystal Structure Determination

description: Related Article: Lucía Álvarez-Miguel, Clara del Carmen-Rodríguez, María Valle, Celedonio M. Álvarez, José M. Martín-Álvarez, Raúl García-Rodríguez, Daniel Miguel|2024|Dalton Trans.|53|15101|doi:10.1039/D4DT01915F
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.cc2jwk88
title: CCDC 2350180: Experimental Crystal Structure Determination

description: Related Article: Sourav Ranjan Pradhan, Chetan Kumar Prasad, Mainak Das, A. Srinivasan|2024|Dalton Trans.|53|15258|doi:10.1039/D4DT01903B
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.cc2jwk99
title: CCDC 2350181: Experimental Crystal Structure Determination

description: Related Article: Sourav Ranjan Pradhan, Chetan Kumar Prasad, Mainak Das, A. Srinivasan|2024|Dalton Trans.|53|15258|doi:10.1039/D4DT01903B
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.cc2jxd1x
title: CCDC 2350979: Experimental Crystal Structure Determination

description: Related Article: Zhixiang Zhao, Yue Yang, Linhai Hu, Jianhua Wang, Jie Yu, Qingxiang Liu|2024|CrystEngComm|26|5078|doi:10.1039/D4CE00553H
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.cc2jxjss
title: CCDC 2351126: Experimental Crystal Structure Determination

description: Related Article: Paulo S. Carvalho, Luan F. Diniz, Christian Fernandes|2024|CrystEngComm|26|4975|doi:10.1039/D4CE00643G
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.cc2jymgl
title: CCDC 2352170: Experimental Crystal Structure Determination

description: Related Article: Shiva Kumar Punna, Mariyaraj Arockiaraj, Venkatachalam Rajeshkumar|2024|Org.Biomol.Chem.|22|7478|doi:10.1039/D4OB01221F
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.