cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccy84s3
title: CCDC 871775: Experimental Crystal Structure Determination

description: Related Article: Noura Benbellat, Yann Le Gal, Stephane Golhen, Abdelkrim Gouasmia,Lahcene Ouahab|2012|Synth.Met.|162|1789|doi:10.1016/j.synthmet.2012.08.018
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: 10.25625/qji8jn/bx8hmm
title: BL SBMCs Clean.tab

description: Survey data of SBMC members at baseline
DOI: 10.5517/ccy84p0
title: CCDC 871772: Experimental Crystal Structure Determination

description: Related Article: Noura Benbellat, Yann Le Gal, Stephane Golhen, Abdelkrim Gouasmia,Lahcene Ouahab|2012|Synth.Met.|162|1789|doi:10.1016/j.synthmet.2012.08.018
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/ccy84q1
title: CCDC 871773: Experimental Crystal Structure Determination

description: Related Article: Noura Benbellat, Yann Le Gal, Stephane Golhen, Abdelkrim Gouasmia,Lahcene Ouahab|2012|Synth.Met.|162|1789|doi:10.1016/j.synthmet.2012.08.018
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: 10.25625/qji8jn/2aomjy
title: EL Headmaster Clean.tab

description: Survey data of headmasters at endline
DOI: 10.25625/qji8jn/ycjkco
title: BL Teachers Clean.tab

description: Survey data of teachers at baseline
DOI: 10.5517/ccy84nz
title: CCDC 871771: Experimental Crystal Structure Determination

description: Related Article: Noura Benbellat, Yann Le Gal, Stephane Golhen, Abdelkrim Gouasmia,Lahcene Ouahab|2012|Synth.Met.|162|1789|doi:10.1016/j.synthmet.2012.08.018
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: 10.13140/rg.2.2.12029.33763
title: HRH Prince Karim Agha Khan arrives at Gilgit Airport for his birthday celebration late 1979
DOI: 10.25625/qji8jn/fkudz3
title: EL Observations Clean.tab

description: School observations data at endline
DOI: 10.5517/ccy84lx
title: CCDC 871769: Experimental Crystal Structure Determination

description: Related Article: Noura Benbellat, Yann Le Gal, Stephane Golhen, Abdelkrim Gouasmia,Lahcene Ouahab|2012|Synth.Met.|162|1789|doi:10.1016/j.synthmet.2012.08.018
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/ccy84my
title: CCDC 871770: Experimental Crystal Structure Determination

description: Related Article: Noura Benbellat, Yann Le Gal, Stephane Golhen, Abdelkrim Gouasmia,Lahcene Ouahab|2012|Synth.Met.|162|1789|doi:10.1016/j.synthmet.2012.08.018
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: 10.25625/qji8jn/qkwzaw
title: EL SBMCs Clean.tab

description: Survey data of SBMC members at endline
DOI: 10.5517/ccy82gq
title: CCDC 871703: Experimental Crystal Structure Determination

description: Related Article: Xiu-Li Wang,Bao Mu,Hong-Yan Lin,Song Yang,Guo-Cheng Liu|2013|J.Mol.Struct.|1036|380|doi:10.1016/j.molstruc.2012.12.001
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/ccy84kw
title: CCDC 871768: Experimental Crystal Structure Determination

description: Related Article: Noura Benbellat, Yann Le Gal, Stephane Golhen, Abdelkrim Gouasmia,Lahcene Ouahab|2012|Synth.Met.|162|1789|doi:10.1016/j.synthmet.2012.08.018
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: 10.25625/qji8jn/pzmpk9
title: EL Teachers Clean.tab

description: Survey data of teachers at endline
DOI: 10.5517/ccy82hr
title: CCDC 871704: Experimental Crystal Structure Determination

description: Related Article: Xiu-Li Wang,Bao Mu,Hong-Yan Lin,Song Yang,Guo-Cheng Liu|2013|J.Mol.Struct.|1036|380|doi:10.1016/j.molstruc.2012.12.001
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/ccy82js
title: CCDC 871705: Experimental Crystal Structure Determination

description: Related Article: Wang, Xiu Li|2013|Sci.China.Chem.|56|557|doi:10.1007/s11426-012-4784-6
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: 10.25625/qji8jn
title: Primary school characteristics in Sokoto State, Nigeria

description: This dataset contains data collected in 128 primary schools in Sokoto State, Nigeria, for the evaluation of the school development programme Nigerian Partnership for Education Project (NIPEP). It contains two survey waves (2018 and 2019), each containing four survey tools implemented during unannounced visits to schools: an observational survey of the school, and interviews with the headmaster, teachers, and members of a school-based management committee. The dataset contains codebook, raw data, and questionnaires.
DOI: 10.15468/dl.dwha75
title: Occurrence Download

description: A dataset containing 2244 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron micranthum"
 ]
}

 The dataset includes 2244 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069518-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfzns5
title: Occurrence Download

description: A dataset containing 6091 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juniperus rigida"
 ]
}

 The dataset includes 6091 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069519-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242102
title: Adekunle Ajasin University, Akungba 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Adekunle Ajasin University, Akungba 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.3886/e242103
title: Ambrose Alli University, Ekpoma 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Ambrose Alli University, Ekpoma 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.34740/kaggle/dsv/14349557
title: Google Trends: Fab Four Cricketers Search Interest
DOI: 10.3886/e242104
title: Chukwuemeka Odumegwu Ojukwu University, Uli 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Chukwuemeka Odumegwu Ojukwu University, Uli 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.3886/e242105
title: Benue State University, Makurdi 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Benue State University, Makurdi 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.15468/dewerm
title: Paragomphus alami sp. nov. (Odonata, Gomphidae): a new dragonfly species described from the White Nile River, Sudan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Salah, Mohamed, Baleela, Rania, Ahmed, Esraa Yousif, Isam, Babiker, Abdalla, Almontasirbillah, Masri, Mai, Elfaki, Esra (2025): Paragomphus alami sp. nov. (Odonata, Gomphidae): a new dragonfly species described from the White Nile River, Sudan. ZooKeys 1265: 159-174, DOI: 10.3897/zookeys.1265.168108AbstractSudan’s unique biogeographic position at the Afrotropical-Palearctic interface, coupled with the ecological gradient of the Nile River, fosters a diverse odonate fauna. Despite this, the genus Paragomphus Cowley, 1934 remains understudied in the region. This study describes Paragomphus alami sp. nov., a new species of Paragomphus from the White Nile floodplain in Sudan, based on integrated morphological and molecular evidence. Field surveys conducted between 2017 and 2022 documented adult populations across the Sudanese floodplains. Specimens were morphologically analysed using microscopy compared to congeners P. lacustris Karsch, 1890 and P. elpidius Ris, 1921. DNA barcoding (COI gene) was performed on two specimens, with maximum-likelihood phylogenetic reconstruction using 28 sequences of Paragomphus and related species in addition to an outgroup. Mean interspecific genetic distance was computed manually. Morphological comparisons with congeners revealed unique diagnostic traits in P. alami sp. nov., including short, thick cerci ending with a black tooth, and an epiproct that is noticeably shorter than those of P. lacustris and P. elpidius. The phylogenetic analysis revealed that P. alami forms a well-supported monophyletic clade (bootstrap value = 100 %), which is corroborated by morphological evidence, and no observed intraspecific variation, which supports the recognition of this species as distinct; this was further supported by the mean interspecific distance of 12.34 %. This discovery highlights Sudan’s role as a biogeographic crossroads and the need for further research of Odonata in the region. Habitat sensitivity highlights conservation urgency. The species seasonal emergence, habitat specificity, and sensitivity to deforestation underscore its conservation importance.
DOI: 10.6084/m9.figshare.30976849
title: Emphasized Spectrum-Based BLE Signal Fingerprinting Dataset for IoT Device Authentication

description: This dataset contains emphasized spectral feature data extracted from Bluetooth Low Energy (BLE) signals for IoT device authentication research.The data were generated as part of the experimental evaluation presented in the accompanying paper, which proposes a signal fingerprinting framework based on emphasized frequency regions to capture hardware-dependent characteristics of BLE transmission devices.The dataset is organized by filter bank type applied to the emphasized frequency regions. Each top-level directory corresponds to a specific filter bank configuration (e.g., Linear Scale, Mel Scale, Inverse Mel Scale, and Gammatone Scale). Within each directory, subfolders contain data associated with individual BLE transmission modules.Each NumPy (<code>.npy</code>) file represents emphasized spectral features extracted from a single BLE module. For each module, multiple BLE signals were collected and processed through framing, FFT, and emphasized filter bank application. The resulting feature matrices are stored by vertically stacking the features from multiple signals into a single NumPy array.Specifically, each <code>.npy</code> file contains emphasized spectral features derived from 500 BLE signals transmitted by the same module. By partitioning the stored array into equal segments, users can recover the emphasized spectral representation corresponding to each individual signal.This dataset is intended to support reproducibility and comparative evaluation of BLE signal fingerprinting, anomaly detection, and device authentication methods at the physical layer. While the source code used to generate the dataset is not publicly released due to security and intellectual property considerations, the dataset provides sufficient structure and documentation for independent analysis and validation.macdd l
DOI: 10.6084/m9.figshare.30976849.v1
title: Emphasized Spectrum-Based BLE Signal Fingerprinting Dataset for IoT Device Authentication

description: This dataset contains emphasized spectral feature data extracted from Bluetooth Low Energy (BLE) signals for IoT device authentication research.The data were generated as part of the experimental evaluation presented in the accompanying paper, which proposes a signal fingerprinting framework based on emphasized frequency regions to capture hardware-dependent characteristics of BLE transmission devices.The dataset is organized by filter bank type applied to the emphasized frequency regions. Each top-level directory corresponds to a specific filter bank configuration (e.g., Linear Scale, Mel Scale, Inverse Mel Scale, and Gammatone Scale). Within each directory, subfolders contain data associated with individual BLE transmission modules.Each NumPy (<code>.npy</code>) file represents emphasized spectral features extracted from a single BLE module. For each module, multiple BLE signals were collected and processed through framing, FFT, and emphasized filter bank application. The resulting feature matrices are stored by vertically stacking the features from multiple signals into a single NumPy array.Specifically, each <code>.npy</code> file contains emphasized spectral features derived from 500 BLE signals transmitted by the same module. By partitioning the stored array into equal segments, users can recover the emphasized spectral representation corresponding to each individual signal.This dataset is intended to support reproducibility and comparative evaluation of BLE signal fingerprinting, anomaly detection, and device authentication methods at the physical layer. While the source code used to generate the dataset is not publicly released due to security and intellectual property considerations, the dataset provides sufficient structure and documentation for independent analysis and validation.macdd l
DOI: 10.3886/e242107
title: Delta State University Abraka 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Delta State University Abraka 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.3886/e242108
title: Ebonyi State University, Abakaliki 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Ebonyi State University, Abakaliki 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.3886/e242109
title: Ekiti State University 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Ekiti State University 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.5281/zenodo.18102685
title: DAO Analyzer dataset

description: DAO-Analyzer's dataset.


Explore data from Decentralized Autonomous Organizations deployed on the DAOstack, DAOhaus and Aragon platforms.
description: DAO-Analyzer is created under the umbrella of multiple research projects:



Chain Community, funded by the Spanish Ministry of Science and Innovation (RTI2018‐096820‐A‐I00) and led by Javier Arroyo and Samer Hassan

P2P Models, funded by the European Research Council (ERC-2017-STG 625 grant no.: 75920), led by Samer Hassan.

DAOapplications, funded by the Spanish Ministry of Science and Innovation (PID2021-127956OB-I00) and led by Javier Arroyo, Samer Hassan and maria Cruz Valiente
DOI: 10.15468/dl.ukm7sk
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fusarium tucumaniae"
 ]
}

 The dataset includes 40 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069524-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242110
title: Enugu State University of Science and Technology 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Enugu State University of Science and Technology 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.6084/m9.figshare.30970930
title: Kinetic inductance incorporated circuit quantization

description: Supporting data for Kinetic-inductance-incorporated quantization for accurate Hamiltonian prediction in superconducting circuits<br>To import tab dataset into the Ansys, refer to the guideline here: https://ansyshelp.ansys.com/public/Views/Secured/Electronics/v251/en/Subsystems/HFSS/Content/Variables/AddingDatasets.htm
DOI: 10.6084/m9.figshare.30970930.v2
title: Kinetic inductance incorporated circuit quantization

description: Supporting data for Kinetic-inductance-incorporated quantization for accurate Hamiltonian prediction in superconducting circuits<br>To import tab dataset into the Ansys, refer to the guideline here: https://ansyshelp.ansys.com/public/Views/Secured/Electronics/v251/en/Subsystems/HFSS/Content/Variables/AddingDatasets.htm
DOI: 10.6084/m9.figshare.30970930.v1
title: Kinetic inductance incorporated circuit quantization

description: Supporting data for Kinetic-inductance-incorporated quantization for accurate Hamiltonian prediction in superconducting circuits
DOI: 10.3886/e242111
title: Ibrahim Badamasi Babangida University, Lapai 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542

description: Ibrahim Badamasi Babangida University, Lapai 2026/2027 IJMB Form, JUPEB Form Is Out Call 07076040542 To Apply and further admission assistance. Call Prof. Ben +2347076040542
DOI: 10.15468/dl.ju224g
title: Occurrence Download

description: A dataset listing the 57742 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Chordata"
 ]
}

 The dataset's 57742 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069522-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30976906
title: <b>From sink to source: Chemical traits of fresh </b><b>leaf </b><b>debris govern forest soil carbon fate under climate extremes</b>

description: Climate-amplified extreme events deposit large amounts of high-nutrient "abnormal litter" (non-senescent plant debris) in forests; however, the net effect of this litter on the soil C budget remains unclear, hindering ecosystem C predictions under increasing disturbances. Therefore, an 866-day decomposition experiment was conducted using <sup>13</sup>C-labeled abnormal (ASD, ALF) and naturally senesced (NSD, NLF) leaf litter from <i>Sapium discolar</i> (low lignin) and <i>Liquidambar formosana</i> (high lignin). Results showed that low-lignin, nutrient-rich abnormal litter (ASD) achieved a C sequestration efficiency of 51.63% by enhancing the formation of mineral-associated organic matter (MAOM-C; 37.8%) and reducing native soil C mineralization (-9.90%). Contrastingly, high-lignin abnormal litter (ALF) became a net C source (-21.4% efficiency) due to strong positive priming effects. Naturally senesced litter (NSD, NLF) with different lignin contents only modestly increased C sequestration (8.49–18.18%). Microbial analyses further revealed that the rapid turnover of microbial groups helped stabilize MAOM, whereas total biomass reduced litter-derived C retention. These results demonstrate that litter decomposability governs the quantity of newly formed C, while nutrient availability determines its long‑term stabilization—a dual mechanism that challenges the traditional perspective that stable soil C originates mainly from recalcitrant litter, and refines the emerging paradigm that rapidly decomposing litter always promotes stable C pools. We propose a “trait‑dependent C fate” framework wherein the decomposability and nutrient content of abnormal litter jointly determine whether extreme events lead to forest soil C sinks or sources. This framework provides a mechanistic basis for predicting and managing soil C responses to climate‑amplified disturbances.