cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2l8nl4
title: CCDC 2391606: Experimental Crystal Structure Determination

description: Related Article: Subarna Pan|2024|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: 10.5517/ccdc.csd.cc2l94ln
title: CCDC 2392071: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Angel S. Philip, Pooja Singh, Matthias Zeller, Gellert Mezei|2025|Inorg.Chem.|64|1048|doi:10.1021/acs.inorgchem.4c04544
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.cc2l94mp
title: CCDC 2392072: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Angel S. Philip, Pooja Singh, Matthias Zeller, Gellert Mezei|2025|Inorg.Chem.|64|1048|doi:10.1021/acs.inorgchem.4c04544
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.cc2l94nq
title: CCDC 2392073: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Angel S. Philip, Pooja Singh, Matthias Zeller, Gellert Mezei|2025|Inorg.Chem.|64|1048|doi:10.1021/acs.inorgchem.4c04544
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.cc2l94pr
title: CCDC 2392074: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Angel S. Philip, Pooja Singh, Matthias Zeller, Gellert Mezei|2025|Inorg.Chem.|64|1048|doi:10.1021/acs.inorgchem.4c04544
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.cc2l94qs
title: CCDC 2392075: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Angel S. Philip, Pooja Singh, Matthias Zeller, Gellert Mezei|2025|Inorg.Chem.|64|1048|doi:10.1021/acs.inorgchem.4c04544
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: 10.15468/dl.zbwsvr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clarisia racemosa Ruiz & Pav.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016865-250127130748423/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.cc2lb2bc
title: CCDC 2392962: Experimental Crystal Structure Determination

description: Related Article: Pascal Retailleau, Jean-Théophile Banzouzi|2024|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: 10.5517/ccdc.csd.cc2lb4bf
title: CCDC 2393024: Experimental Crystal Structure Determination

description: Related Article: Jeanette A. Krause, Ronnie Muvirimi, William B. Connick|2024|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: 10.5517/ccdc.csd.cc2lb4cg
title: CCDC 2393025: Experimental Crystal Structure Determination

description: Related Article: Jeanette A. Krause, Ronnie Muvirimi, William B. Connick|2024|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: 10.5517/ccdc.csd.cc2lb4dh
title: CCDC 2393026: Experimental Crystal Structure Determination

description: Related Article: Jeanette A. Krause, Ronnie Muvirimi, William B. Connick|2024|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: 10.5517/ccdc.csd.cc2lb4fj
title: CCDC 2393027: Experimental Crystal Structure Determination

description: Related Article: Jeanette A. Krause, Ronnie Muvirimi, William B. Connick|2024|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: 10.5517/ccdc.csd.cc2lb4hl
title: CCDC 2393029: Experimental Crystal Structure Determination

description: Related Article: Jeanette A. Krause, Ronnie Muvirimi, William B. Connick|2024|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: 10.5517/ccdc.csd.cc2lb4jm
title: CCDC 2393030: Experimental Crystal Structure Determination

description: Related Article: Jeanette A. Krause, Ronnie Muvirimi, William B. Connick|2024|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: 10.5517/ccdc.csd.cc2lb5z3
title: CCDC 2393075: Experimental Crystal Structure Determination

description: Related Article: Xifa Yang|2024|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: 10.5517/ccdc.csd.cc2lb638
title: CCDC 2393079: Experimental Crystal Structure Determination

description: Related Article: Xifa Yang|2024|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: 10.5517/ccdc.csd.cc2lb7x3
title: CCDC 2393135: Experimental Crystal Structure Determination

description: Related Article: Jeanette A. Krause, Ronnie Muvirimi, William B. Connick|2024|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: 10.5517/ccdc.csd.cc2ldr6z
title: CCDC 2395531: Experimental Crystal Structure Determination

description: Related Article: Shu-Rong Zhong, Xin-Ling Xie, Tao Huang, Teng Zhang|2025|Inorg.Chem.|64|801|doi:10.1021/acs.inorgchem.4c04961
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.cc2ldr70
title: CCDC 2395532: Experimental Crystal Structure Determination

description: Related Article: Shu-Rong Zhong, Xin-Ling Xie, Tao Huang, Teng Zhang|2025|Inorg.Chem.|64|801|doi:10.1021/acs.inorgchem.4c04961
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.cc2ldr81
title: CCDC 2395533: Experimental Crystal Structure Determination

description: Related Article: Shu-Rong Zhong, Xin-Ling Xie, Tao Huang, Teng Zhang|2025|Inorg.Chem.|64|801|doi:10.1021/acs.inorgchem.4c04961
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.cc2l94km
title: CCDC 2392070: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Angel S. Philip, Pooja Singh, Matthias Zeller, Gellert Mezei|2025|Inorg.Chem.|64|1048|doi:10.1021/acs.inorgchem.4c04544
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: 10.15468/dl.3hgdvb
title: Occurrence Download

description: A dataset containing 233167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Larix decidua Mill., Larix gmelinii (Rupr.) Kuzen., Larix griffithii Hook.f., Larix kaempferi (Lamb.) Carrière, Larix laricina (Du Roi) K.Koch, Larix lyallii Parl., Larix mastersiana Rehd. & E.H.Wilson, Larix occidentalis Nutt., Larix potaninii Batalin, Larix sibirica Ledeb.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 233167 records from 1022 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016844-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9zz53jp4fb
title: Functional Recovery Program for Femoroacetabular Impingement

description: Supplementary material for a functional recovery program in two phases aimed to control the pain, work on active and passive stretching, and strengthen core stability in two tennis players.
DOI: 10.17632/9zz53jp4fb.2
title: Functional Recovery Program for Femoroacetabular Impingement

description: Supplementary material for a functional recovery program in two phases aimed to control the pain, work on active and passive stretching, and strengthen core stability in two tennis players.
DOI: 10.17632/6zwtfwghxm.1
title: LINF_120008300

description: Myotubularin-related protein; Leishmania infantum
DOI: 10.34740/kaggle/dsv/11308269
title: Hacker News Cumulative Data
DOI: 10.17632/6zwtfwghxm.2
title: LINF_120008300

description: Myotubularin-related protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/pzpnbk5xz2.1
title: ​​Dataset on Shopping Mall Visits in Johannesburg, South Africa

description: his dataset captures observations of consumer visits to three major shopping malls in Johannesburg, South Africa, from 2022 to 2023. The data, sourced from Fetch Analytics, utilizes ​​​​smartphone​​​​ signal tracking to provide insights into consumer behaviour. Key variables include mall name, visit frequency, distance travelled, and demographic indicators such as income and Living Standard Measure (LSM). The dataset allows for a granular analysis of how spatial and socio-economic factors influence shopping patterns in a fragmented retail landscape. This dataset is valuable for researchers investigating consumer behaviour, spatial economics, and urban retail planning.
DOI: 10.17632/pzpnbk5xz2.2
title: ​​Dataset on Shopping Mall Visits in Johannesburg, South Africa

description: This dataset captures observations of consumer visits to three major shopping malls in Johannesburg, South Africa, from 2022 to 2023. The data, sourced from Fetch Analytics, utilizes ​​​​smartphone​​​​ signal tracking to provide insights into consumer behavior. Key variables include mall name, visit frequency, distance traveled, and demographic indicators such as income and Living Standard Measure (LSM). The dataset allows for a granular analysis of how spatial and socioeconomic factors influence shopping patterns in a fragmented retail landscape. This dataset is valuable for researchers investigating consumer behavior, spatial economics, and urban retail planning.
DOI: 10.17632/pzpnbk5xz2.3
title: ​​Dataset on Shopping Mall Visits in Johannesburg, South Africa

description: This dataset captures observations of consumer visits to three major shopping malls in Johannesburg, South Africa, from 2022 to 2023. The data, sourced from Fetch Analytics, utilizes ​​​​smartphone​​​​ signal tracking to provide insights into consumer behavior. Key variables include mall name, visit frequency, distance traveled, and demographic indicators such as income and Living Standard Measure (LSM). The dataset allows for a granular analysis of how spatial and socioeconomic factors influence shopping patterns in a fragmented retail landscape. This dataset is valuable for researchers investigating consumer behavior, spatial economics, and urban retail planning.
DOI: 10.17632/pzpnbk5xz2.4
title: ​​Dataset on Shopping Mall Visits in Johannesburg, South Africa

description: This dataset captures observations of consumer visits to three major shopping malls in Johannesburg, South Africa, from 2022 to 2023. The data, sourced from Fetch Analytics, utilizes ​​​​smartphone​​​​ signal tracking to provide insights into consumer behavior. Key variables include mall name, visit frequency, distance traveled, and demographic indicators such as income and Living Standard Measure (LSM). The dataset allows for a granular analysis of how spatial and socioeconomic factors influence shopping patterns in a fragmented retail landscape. This dataset is valuable for researchers investigating consumer behavior, spatial economics, and urban retail planning.
DOI: 10.15468/dl.53z25y
title: Occurrence Download

description: A dataset listing the 10 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vinca minor L."
 ]
}

 The dataset's 10 records were derived from 1466 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008039-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11583/dtu.29618153
title: Time series of hourly resolution Onshore Wind generation for European Scale Energy system studies

description: This dataset provides Pan-European simulated hourly time series of onshore wind generation to be used with Balmorel energy system model which can be used to study future European scale energy system. The dataset is divided into two main categories (folders), 'Existing' which represents simulation of existing fleets (all existing wind farms in the year 2020 with their specific locations and technological characteristics) and 'Future' where several sets of possible future technologies are simulated. Within the Future folder, the simulations are available for 3 different specific-powers (199, 277 and 335 W/m2), 3 different hub-heights (100, 150 and 200 m) and 3 different resource grades (RGA, RGB and RGC). Naming of the folders and their respective files are based on the specific power, followed by hub-height and then followed by resource grade (e.g. SP277_HH100_RGA would mean specific power of 277 W/m2 hub-height of 100m and resource grade A). The resource grade A (RGA) consists of simulation of the best 10 % of locations (in terms of mean wind-speed) within each region. Similarly, RGB consists of simulation of 10-50 % of the best location and RGC consists of the remaining 50 % of the locations. Each folder has one csv file which contains the hourly time-series and a map which shows the resulting capacity factor for each region. The first column in csv file is the timestamps defined in GMT time and the rest of the columns represent Balmorel regions.The available land considers all onshore land areas of a region, excluding lakes, rivers, urban areas, military areas, very high elevation locations (above 1500 m), and legally protected areas (IUCN categories Ia–VI). Urban areas are identified using the Natural Earth 50m Urban Areas dataset (Natural Earth, public domain license: link3). Protected areas are based on the European Environment Agency’s Nationally Designated Areas dataset (citation identifier: eea_v_3035_100_k_natda-poly_p_2023-2024_v22_r00, available via link4). Orography, bathymetry, and hydrological features (lakes and rivers) follow the Global Wind Atlas combined dataset (source: link5). Military areas are delineated using the <i>landuse=military</i> identifier from OpenStreetMap (link6). The possible impact of any existing onshore wind installations in the region is not considered. Wake losses are modeled (see the first linked paper), with an additional 5% accounting for other losses and unavailability .The linked journal paper (1st link) describes the simulation methodology (combination of ERA5 and GWA data is used). It is requested that the paper is cited when the data are used. The linked related journal paper (2nd link) describes the concept of resource grades and how they can be applied in energy system analyses.This item is part of a larger collection of wind and solar data: https://doi.org/10.11583/DTU.c.7964141
DOI: 10.11583/dtu.29618153.v1
title: Time series of hourly resolution Onshore Wind generation for European Scale Energy system studies

description: This dataset provides Pan-European simulated hourly time series of onshore wind generation to be used with Balmorel energy system model which can be used to study future European scale energy system. The dataset is divided into two main categories (folders), 'Existing' which represents simulation of existing fleets (all existing wind farms in the year 2020 with their specific locations and technological characteristics) and 'Future' where several sets of possible future technologies are simulated. Within the Future folder, the simulations are available for 3 different specific-powers (199, 277 and 335 W/m2), 3 different hub-heights (100, 150 and 200 m) and 3 different resource grades (RGA, RGB and RGC). Naming of the folders and their respective files are based on the specific power, followed by hub-height and then followed by resource grade (e.g. SP277_HH100_RGA would mean specific power of 277 W/m2 hub-height of 100m and resource grade A). The resource grade A (RGA) consists of simulation of the best 10 % of locations (in terms of mean wind-speed) within each region. Similarly, RGB consists of simulation of 10-50 % of the best location and RGC consists of the remaining 50 % of the locations. Each folder has one csv file which contains the hourly time-series and a map which shows the resulting capacity factor for each region. The first column in csv file is the timestamps defined in GMT time and the rest of the columns represent Balmorel regions.The available land considers all onshore land areas of a region, excluding lakes, rivers, urban areas, military areas, very high elevation locations (above 1500 m), and legally protected areas (IUCN categories Ia–VI). Urban areas are identified using the Natural Earth 50m Urban Areas dataset (Natural Earth, public domain license: link3). Protected areas are based on the European Environment Agency’s Nationally Designated Areas dataset (citation identifier: eea_v_3035_100_k_natda-poly_p_2023-2024_v22_r00, available via link4). Orography, bathymetry, and hydrological features (lakes and rivers) follow the Global Wind Atlas combined dataset (source: link5). Military areas are delineated using the <i>landuse=military</i> identifier from OpenStreetMap (link6). The possible impact of any existing onshore wind installations in the region is not considered. Wake losses are modeled (see the first linked paper), with an additional 5% accounting for other losses and unavailability .The linked journal paper (1st link) describes the simulation methodology (combination of ERA5 and GWA data is used). It is requested that the paper is cited when the data are used. The linked related journal paper (2nd link) describes the concept of resource grades and how they can be applied in energy system analyses.This item is part of a larger collection of wind and solar data: https://doi.org/10.11583/DTU.c.7964141
DOI: 10.13140/rg.2.2.10189.15849
title: 3.5K Clean Violent Views Detection in Urdu Tweets
DOI: 10.13140/rg.2.2.28788.27527
title: MYSORE AT THE HEIGHT OF ITS POWER 1780