cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2mx9zv
title: CCDC 2440288: Experimental Crystal Structure Determination

description: Related Article: Qiaonan Chen, Jingnan Wu, Maureen Gumbo, Leandro R Franco, Lunjie Zeng, Xianjie Liu, Kangbo Sun, Yufei Wang, Donghong Yu, Lars Öhrström, Mailde Ozório, Alexandre Holmes, C. Araujo, Eva Olsson, Mats Fahlman, Renqiang Yang, Ergang Wang|2025|ACS Energy Lett.|10|5584|doi:10.1021/acsenergylett.5c02585
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.cc2n5rxj
title: CCDC 2448408: Experimental Crystal Structure Determination

description: Related Article: Sultana P. Rumi, Jacqueline M. Laddusaw, Lev N. Zakharov, Paul Ha-Yeon Cheong, Addison N. Desnoyer|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c03553
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.cc2n72pp
title: CCDC 2449672: Experimental Crystal Structure Determination

description: Related Article: Diandra M. Gheorghe, Anca G. Mirea, Iuliana M. Chirică, Codruta C. Popescu, Augustin M. Mădălan, Mihaela Matache, Dragoș Ciuparu, Mihaela Florea|2025|Synthesis|||doi:10.1055/a-2720-5058
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.cc2n72qq
title: CCDC 2449673: Experimental Crystal Structure Determination

description: Related Article: Diandra M. Gheorghe, Anca G. Mirea, Iuliana M. Chirică, Codruta C. Popescu, Augustin M. Mădălan, Mihaela Matache, Dragoș Ciuparu, Mihaela Florea|2025|Synthesis|||doi:10.1055/a-2720-5058
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.cc2n9b9m
title: CCDC 2451830: Experimental Crystal Structure Determination

description: Related Article: Zhiyuan He, Stijn W. J. de Wit, Samuel M. van der Loo, Dorette S. Tromp, Alexis K. Bauer, Michael L. Neidig, Simon Mathew, Andreas W. Ehlers, Bas de Bruin, Jarl Ivar van der Vlugt|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c14105
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.cc2n9bbn
title: CCDC 2451831: Experimental Crystal Structure Determination

description: Related Article: Zhiyuan He, Stijn W. J. de Wit, Samuel M. van der Loo, Dorette S. Tromp, Alexis K. Bauer, Michael L. Neidig, Simon Mathew, Andreas W. Ehlers, Bas de Bruin, Jarl Ivar van der Vlugt|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c14105
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.cc2n9bcp
title: CCDC 2451832: Experimental Crystal Structure Determination

description: Related Article: Zhiyuan He, Stijn W. J. de Wit, Samuel M. van der Loo, Dorette S. Tromp, Alexis K. Bauer, Michael L. Neidig, Simon Mathew, Andreas W. Ehlers, Bas de Bruin, Jarl Ivar van der Vlugt|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c14105
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.cc2n9bdq
title: CCDC 2451833: Experimental Crystal Structure Determination

description: Related Article: Zhiyuan He, Stijn W. J. de Wit, Samuel M. van der Loo, Dorette S. Tromp, Alexis K. Bauer, Michael L. Neidig, Simon Mathew, Andreas W. Ehlers, Bas de Bruin, Jarl Ivar van der Vlugt|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c14105
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.cc2nbv3z
title: CCDC 2453281: Experimental Crystal Structure Determination

description: Related Article: Kamal Hossain, Arindam Basak, Angshuman Roy Choudhury, Amit Majumdar|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c14543
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.cc2ngt98
title: CCDC 2457100: Experimental Crystal Structure Determination

description: Related Article: Xialiang Li, Xiaotong Jin, Yuchen Cao, Jianqiu Zhu, Delong Duan, Qiancheng Luo, Bin Lv, Yuhan Xu, Yanzhen Zheng, Wei Zhang, Ran Long, Linjuan Zhang, Rongzhen Liao, Rui Cao|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c14593
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.cc2m7qh3
title: CCDC 2420495: Experimental Crystal Structure Determination

description: Related Article: Kamal Hossain, Arindam Basak, Angshuman Roy Choudhury, Amit Majumdar|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c14543
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.cc2p83cg
title: CCDC 2480445: Experimental Crystal Structure Determination

description: Related Article: Dennis Awasabisah, Jack F. Gangemi, Nobuyuki Yamamoto|2026|Polyhedron|284||doi:10.1016/j.poly.2025.117885
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.cc2p86pw
title: CCDC 2480548: Experimental Crystal Structure Determination

description: Related Article: Dennis Awasabisah, Jack F. Gangemi, Nobuyuki Yamamoto|2026|Polyhedron|284||doi:10.1016/j.poly.2025.117885
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.cc1m1hlr
title: CCDC 1490994: Experimental Crystal Structure Determination

description: Related Article: Szacon E,  Koziol AE, Matosiuk D|2025|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: 10.57745/pn3m7b
title: README.md

description: :unav
DOI: 10.57745/annmqi
title: snowsar_dataset.zip

description: :unav
DOI: 10.57745/imtsfl
title: Replication Data for : Weakly supervised learning for snow cover segmentation in mountainous areas from Sentinel-1 SAR images using interpolated NDSI time series

description: This dataset is designed for deep learning-based snow cover detection from SAR imagery. It contains Sentinel-1 imagery (VV and VH backscatter in dB) on three different orbits (descending 139, descending 66 and ascending 88) over the Guil basin in the French Alps, during 2018-2019 hydrological year, paired with MODIS-derived binary snow cover labels obtained through NDSI thresholding at 0.4, projected on SAR geometry. Additional data includes orbit-specific geographic projection maps, reference images for each acquisition geometry and normalization statistics for model input preprocessing. The dataset is organized into training, validation and test sets, with the test set subdivided into three evaluation scenarios: no transfer, spatial transfer (Gyronde basin) and temporal transfer (Guil basin during 2019-2020 hydrological year). Training set labels come time-interpolated using NDSI values in three variants: non-interpolated, with closest neighbour interpolation (CNI) and Kalman smoother (KS). The dataset folder tree is described in the readme.
DOI: 10.5067/caliop/calipso/l3_cloud_occurrence-standard-v2-00
title: CALIPSO Lidar Level 3 Cloud Occurrence Data, Standard V2-00
DOI: 10.5281/zenodo.17938017
title: Dataset for Wi-Fi roaming optimization in industrial environments

description: Two network configurations, representative of an industrial environment, are simulated using the ns-3 library. A network configuration consists of an empty 2D space with an access point (AP) positioned in the middle. A Wi-Fi station (STA), designated as the Station Under Test (SUT), is statically positioned in different locations of the 2D space according to a grid. Additional STAs connected to the AP are positioned in the simulated space to act as interferers. For each location of the SUT, an independent simulation is carried out to build a 2D map of the environment. The grid spacing defines the resolution of the map.

Two campaigns were conducted for each network configuration using different resolutions: 1 m x 1 m (handover_hi_res) and 2.5 m x 2.5 m (handover).

More information about the simulation parameters can be found in a previously published article in Section IV-B Simulation setup:  https://doi.org/10.1109/WFCS63373.2025.11077620

Each campaign folder (handover and handover_hi_res) contains the raw data (raw), the extracted datasets (datasets), and two .json files describing the network configurations. config.json contains the simulation parameters and associates each dataset file (the output of a single simulation) with the position of the SUT in the 2D environment.

Inside the datasets folders, the two network configurations are separated (map_0, map_1), and only the most relevant data is extracted. Empty files usually denote that the simulation was non possibile due to the SUT being out of range of the AP. For each packet sent by the SUT, the following information is stored:



Sequence number (seq)

Whether the frame delivery was successful (acked)

Latency: time from packet generation to the reception of the acknowledgement or dropping of the packet (latency)

Number of frame transmissions required (transmissions)

RSSI and noise level of the last beacon received before the start of transmission (rssi, noise)


Starting from the raw data, everything else can be extracted using the extractor.py script.
DOI: 10.5281/zenodo.17938018
title: Dataset for Wi-Fi roaming optimization in industrial environments

description: Two network configurations, representative of an industrial environment, are simulated using the ns-3 library. A network configuration consists of an empty 2D space with an access point (AP) positioned in the middle. A Wi-Fi station (STA), designated as the Station Under Test (SUT), is statically positioned in different locations of the 2D space according to a grid. Additional STAs connected to the AP are positioned in the simulated space to act as interferers. For each location of the SUT, an independent simulation is carried out to build a 2D map of the environment. The grid spacing defines the resolution of the map.

Two campaigns were conducted for each network configuration using different resolutions: 1 m x 1 m (handover_hi_res) and 2.5 m x 2.5 m (handover).

More information about the simulation parameters can be found in a previously published article in Section IV-B Simulation setup:  https://doi.org/10.1109/WFCS63373.2025.11077620

Each campaign folder (handover and handover_hi_res) contains the raw data (raw), the extracted datasets (datasets), and two .json files describing the network configurations. config.json contains the simulation parameters and associates each dataset file (the output of a single simulation) with the position of the SUT in the 2D environment.

Inside the datasets folders, the two network configurations are separated (map_0, map_1), and only the most relevant data is extracted. Empty files usually denote that the simulation was non possibile due to the SUT being out of range of the AP. For each packet sent by the SUT, the following information is stored:



Sequence number (seq)

Whether the frame delivery was successful (acked)

Latency: time from packet generation to the reception of the acknowledgement or dropping of the packet (latency)

Number of frame transmissions required (transmissions)

RSSI and noise level of the last beacon received before the start of transmission (rssi, noise)


Starting from the raw data, everything else can be extracted using the extractor.py script.
DOI: 10.15468/dl.4765q8
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tillandsia pseudomontana"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053784-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17411285
title: Fluctuating Baryonic Field – Phase 3: Predictive Dynamics and Environmental Coupling with SPARC database, 4FGL.

description: Phase 3 of the Fluctuating Baryonic Field model introduces a predictive framework that unifies the observational results from previous phases with a dynamic formulation capable of anticipating energetic states of the field.This phase analyzes the interaction between confined baryonic energy and the surrounding radiative environment using the SPARC, SPARC_MASTER, and Fermi 4FGL catalogs.The proposed equations describe field transitions between creation and collapse phases, reproducing observed variations without invoking non-baryonic dark matter.Results show stable correlations between field density, gamma-ray flux intensity, and galactic rotational velocities.Together, these findings complete the three-phase theoretical structure of the KFQubit Model Project, establishing a coherent foundation for understanding cosmic expansion and the energetic architecture of the Universe from local baryonic behavior.
DOI: 10.5281/zenodo.17941283
title: THE EFFECT OF IRRIGATION REGIME AND MINERAL FERTILIZER APPLICATION RATES ON THE YIELD STRUCTURE OF TRITICALE VARIETIES
DOI: 10.5281/zenodo.17941282
title: THE EFFECT OF IRRIGATION REGIME AND MINERAL FERTILIZER APPLICATION RATES ON THE YIELD STRUCTURE OF TRITICALE VARIETIES
DOI: 10.15468/dl.dtwxgt
title: Occurrence Download

description: A dataset containing 1062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aporosa octandra)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1062 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053785-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/gptx7
title: Shared nationality in social exchange: A trust vignette experiment in the United States, South Africa, and Switzerland

description: Replication Material for article "Shared nationality in social exchange: A trust vignette experiment in the United States, South Africa, and Switzerland"
DOI: 10.5066/p91g78vn
title: 10-Minute GPS Monitoring Data for the Cleveland Corral landslide near U.S. Highway 50, El Dorado County, California

description: This data release documents movement of the toe of Cleveland Corral Landslide, El Dorado County, CA from October 1, 2016, to September 30, 2017, based on GPS data from near real-time monitoring. Raw GPS data from L1-only receivers were recorded in 15 second epochs using data acquisition systems and radio telemetry developed by the USGS Volcano Hazards Program. The overall system, named LORAS (for Landslide Optimized Real-time data Acquisition System), is further described in Reid and others (2021). The system uses u-blox T4 GPS receivers and Trimble Bullet antennas. The moving GPS receiver, located on the toe of the landslide, is approximately 431 m from the base station. This distance enables an ultra-short baseline for differential GPS processing. Static GPS solutions at approximately 10-minute intervals were obtained by post-processing the previous 1-hour of data. Outlier positions were removed through a series of steps. Details of the GPS processing techniques and removal of outlier positions are further described in the Data_Quality_Information section of the FGDC metadata. Time gaps in the data sets indicate insufficient GPS data, problems with data telemetry, and/or poor satellite configuration.

The data release consists of:
(1) .csv file containing 10-minute GPS monitoring data in UTM coordinates
(2) 2024 OPUS solution used to obtain the GPS base-station UTM coordinates
(3) image showing GPS receiver locations relative to major landslide features

Additional information about the Cleveland Corral landslide and links to related data releases can be found on the ScienceBase project page https://www.sciencebase.gov/catalog/item/65a821ecd34ebad3f34c9a4b.

References:
Reid, M.E., Godt, J.W., LaHusen, R.G. and others, 2021, When hazard avoidance is not an option: lessons learned from monitoring the postdisaster Oso landslide, USA., Landslides, vol. 18, pp. 2993–3009, https://doi.org/10.1007/s10346-021-01686-6.
DOI: 10.12757/bbk.sifct.200101-202412.01.01
title: Statistics on International Financial and Capital Transactions (SIFCT)

description: The research dataset “Statistics on International Financial and Capital Transactions (SIFCT)” is part of the microdata collected by the Deutsche Bundesbank used to compile the capital account, financial account, and investment income of the German balance of payments statistics. This dataset contains detailed information on capital transfers between residents and non-residents, the acquisition and disposal of non-produced, non-financial assets, and transactions involving financial assets and liabilities. It also includes information on investment income. Each record is supplemented by the country of the counterparty and the sector classification of the resident firm.
The research dataset is available as monthly panel data starting from 2001.
DOI: 10.15468/dl.ttb6b4
title: Occurrence Download

description: A dataset containing 633788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, Canada, United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Danaus plexippus",
 "Year 1984-2024"
 ]
}

 The dataset includes 633788 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053754-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rsp2x6
title: Occurrence Download

description: A dataset containing 1832001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1832001 records from 1185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053753-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bvgry
title: Occurrence Download

description: A dataset containing 2000 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbario virtual bosques secos de Colombia - Sección herbario ICESI"
 ]
}

 The dataset includes 2000 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018535-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6qz5r
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Lycopersicon hirsutum Dunal"
 ]
}

 The dataset includes 36 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018536-240626123714530/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.cc2glw54
title: CCDC 2282256: Experimental Crystal Structure Determination

description: Related Article: Yue Ren, Wangyu Shi, Yi Tang, Hongchao Guo|2024|Chem.Commun.|60|6897|doi:10.1039/D4CC01989J
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.