cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30458160
title: Cross-Section Bootstrap for CCE Regressions with General Unknown Factors

description: The Common Correlated Effects (CCE) approach enjoys considerable popularity for estimating factor-augmented panel data models. A key benefit is that by orthogonalizing the data on the available cross-section averages, the unobserved components are eliminated from the data, regardless of their order(s) of integration. This obviates the need for such knowledge, and makes CCE particularly attractive for macroeconomic applications, where the set of unobservables might contain both stationary and nonstationary variables. Despite of these benefits, it is often neglected that the pooled CCE (CCEP) estimator suffers from an asymptotic bias in TN−1→τ&gt;0 panels, which too is common in macroeconomic research. This bias is highly disruptive for inference but cannot generally be remedied with analytical corrections. As such, we establish in this article the validity of the cross-section bootstrap under general unknown factors for TN−1→τ&lt;∞ as (N,T)→∞. We show that the scheme replicates the distribution of the CCE estimators, leading to a straightforward bias-correction, and confidence intervals that enable asymptotically valid inference for τ&lt;∞. This significantly broadens the applicability of the CCEP method. We in addition explore the case where idiosyncratics serve as another source of non-stationarity. Simulation experiments show that our theoretical predictions translate well to finite samples, and that the methodology outperforms alternative bias-corrections and estimators. The method is finally demonstrated with a gravity trade application based on the dataset of <i>Serlenga and Shin</i>.
DOI: 10.6084/m9.figshare.30458160.v3
title: Cross-Section Bootstrap for CCE Regressions with General Unknown Factors

description: The Common Correlated Effects (CCE) approach enjoys considerable popularity for estimating factor-augmented panel data models. A key benefit is that by orthogonalizing the data on the available cross-section averages, the unobserved components are eliminated from the data, regardless of their order(s) of integration. This obviates the need for such knowledge, and makes CCE particularly attractive for macroeconomic applications, where the set of unobservables might contain both stationary and nonstationary variables. Despite of these benefits, it is often neglected that the pooled CCE (CCEP) estimator suffers from an asymptotic bias in TN−1→τ&gt;0 panels, which too is common in macroeconomic research. This bias is highly disruptive for inference but cannot generally be remedied with analytical corrections. As such, we establish in this article the validity of the cross-section bootstrap under general unknown factors for TN−1→τ&lt;∞ as (N,T)→∞. We show that the scheme replicates the distribution of the CCE estimators, leading to a straightforward bias-correction, and confidence intervals that enable asymptotically valid inference for τ&lt;∞. This significantly broadens the applicability of the CCEP method. We in addition explore the case where idiosyncratics serve as another source of non-stationarity. Simulation experiments show that our theoretical predictions translate well to finite samples, and that the methodology outperforms alternative bias-corrections and estimators. The method is finally demonstrated with a gravity trade application based on the dataset of <i>Serlenga and Shin</i>.
DOI: 10.57745/ubxujy
title: Code_Pt_Data_Treatment.m

description: :unav
DOI: 10.57745/cavnwi
title: Data Pt - 650C.mat

description: :unav
DOI: 10.57745/pmilqr
title: Data Pt - 700C.mat

description: :unav
DOI: 10.57745/sfcxxc
title: Data LSCFM - 735C.mat

description: :unav
DOI: 10.57745/4p4va2
title: Data LSCFM - 400C.mat

description: :unav
DOI: 10.57745/44xdjh
title: Data Pt - 100C.mat

description: :unav
DOI: 10.57745/x7ycnt
title: Data Pt - 735C.mat

description: :unav
DOI: 10.57745/zzvwbi
title: Code_LSCFM_RT_Data_Treatment.m

description: :unav
DOI: 10.57745/kybcgv
title: Data Pt - 300C.mat

description: :unav
DOI: 10.57745/nvgnbu
title: Data LSCFM - 20C.mat

description: :unav
DOI: 10.57745/vlbmds
title: Data Pt - 250C.mat

description: :unav
DOI: 10.57745/28nl1c
title: Data Pt - 200C.mat

description: :unav
DOI: 10.57745/1un8by
title: Data Pt - 50C.mat

description: :unav
DOI: 10.57745/5h2olv
title: Data Pt - 600C.mat

description: :unav
DOI: 10.57745/lztzbn
title: Data Pt - 500C.mat

description: :unav
DOI: 10.57745/dygr0n
title: Data Pt-LSCFM - 700C.mat

description: :unav
DOI: 10.57745/ehpk26
title: Data LSCFM - 100C.mat

description: :unav
DOI: 10.57745/rf2keq
title: Data Pt-LSCFM - 400C.mat

description: :unav
DOI: 10.57745/hxd9lv
title: zero_shift_mean.mat

description: :unav
DOI: 10.57745/ywxqxx
title: Code_Pt_LSCFM_Data_Treatment.m

description: :unav
DOI: 10.57745/oiyuwj
title: Data Pt - 550C.mat

description: :unav
DOI: 10.57745/yzmlj6
title: Data LSCFM - 700C.mat

description: :unav
DOI: 10.57745/8oodsg
title: Data LSCFM - 300C.mat

description: :unav
DOI: 10.57745/fd48is
title: Data LSCFM - 500C.mat

description: :unav
DOI: 10.57745/2d7mwp
title: Data LSCFM - 200C.mat

description: :unav
DOI: 10.57745/nyycs1
title: Data Pt - 450C.mat

description: :unav
DOI: 10.57745/r1jmly
title: Data LSCFM - 600C.mat

description: :unav
DOI: 10.57745/5b2qp7
title: Data Pt - 350C.mat

description: :unav
DOI: 10.57745/rvhup6
title: High-temperature synchrotron XRD data on Pt and combinatorial LSCFM thin films

description: This dataset contains X-ray diffraction (XRD) spectra collected on Pt and combinatorial LSCFM thin films between room temperature and 735 °C at the Diffabs beamline of the Soleil synchrotron during the measurement week from 6 July 2021 to 12 July 2021 using a wide-surface custom-made furnace. For each measurement condition (sample and temperature), a .mat data file and a .txt data file (tab-delimited values) are provided. Using Matlab, it is recommended to load the .mat data file directly, which includes 3 matrices. These matrices correspond to the 3 types of .txt files and are organized as follows: (1) "x_theta": a 10769x1 array with the degrees of the 2Theta angle (i.e., x-axis of all the XRD spectra), reported in [°]; (2) "sample_coords": a 889x2 matrix with the horizontal and vertical coordinates of the sample for each collected diffractogram, reported in [mm]; (3) "zero_shift_mean": a 889x1 array with the sample displacement mean values calculated from the measurements on the Pt sample (i.e., one value for each XY coordinate), reported in [°]; (4) "XRD_spectra": a 889x10769 matrix with the 10769 intensity values of the 889 diffractograms, reported in arbitrary units [-]. The dataset contains 26 "XRD_spectra" files varying by material (Pt, LSCFM, or Pt-LSCFM) and temperature (from 20 °C to 735 °C). These details are reported in the file names. Only 1 .txt data file is provided for "x_theta", "sample_coords", and "zero_shift_mean" because they do not vary across the different measurements. The "Matlab Data and Codes" sub-folder contains the Matlab files (.mat), along with Matlab codes for processing the data to obtain cubic lattice parameters of Pt and LSCFM perovskites.
DOI: 10.5281/zenodo.18352122
title: QAYTA TIKLANUVCHI ENERGIYA MANBALARI, RAQAMLI TEXNOLOGIYALAR VA BARQAROR RIVOJLANISH ISTIQBOLLARI

description: Qayta tiklanuvchi energiya manbalarining (quyosh, shamol, gidro va biomassa) rivojlanish tendensiyalari, ularni joriy etishda raqamli texnologiyalarning tutgan o‘rni hamda barqaror rivojlanishga ta’sirini o‘z ichiga oladi . Energiya tizimlarida sun’iy intellekt, “aqlli” tarmoqlar (smart grid), IoT va katta ma’lumotlar (big data) asosida boshqaruv samaradorligini oshirish imkoniyatlari ko‘rib chiqiladi. Shuningdek, qayta tiklanuvchi energiyani raqamlashtirish orqali energiya tejamkorligi, ekologik xavfsizlik va iqtisodiy barqarorlikka erishish masalalari yoritiladi. Tadqiqot natijalari barqaror rivojlanish maqsadlariga erishishda qayta tiklanuvchi energiya va raqamli texnologiyalarning o‘zaro uyg‘unligi muhim omil ekanini ko‘rsatadi.
DOI: 10.5281/zenodo.18352121
title: QAYTA TIKLANUVCHI ENERGIYA MANBALARI, RAQAMLI TEXNOLOGIYALAR VA BARQAROR RIVOJLANISH ISTIQBOLLARI

description: Qayta tiklanuvchi energiya manbalarining (quyosh, shamol, gidro va biomassa) rivojlanish tendensiyalari, ularni joriy etishda raqamli texnologiyalarning tutgan o‘rni hamda barqaror rivojlanishga ta’sirini o‘z ichiga oladi . Energiya tizimlarida sun’iy intellekt, “aqlli” tarmoqlar (smart grid), IoT va katta ma’lumotlar (big data) asosida boshqaruv samaradorligini oshirish imkoniyatlari ko‘rib chiqiladi. Shuningdek, qayta tiklanuvchi energiyani raqamlashtirish orqali energiya tejamkorligi, ekologik xavfsizlik va iqtisodiy barqarorlikka erishish masalalari yoritiladi. Tadqiqot natijalari barqaror rivojlanish maqsadlariga erishishda qayta tiklanuvchi energiya va raqamli texnologiyalarning o‘zaro uyg‘unligi muhim omil ekanini ko‘rsatadi.
DOI: 10.3535/k82-wal-1gf
title: Periclimenes sagittifer (Norman, 1861)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.4hbaav
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((51.84273 16.95837,172.15727 16.95837,172.15727 65.04163,51.84273 65.04163,51.84273 16.95837))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus davidiana",
 "Year 1970-2000"
 ]
}

 The dataset includes 150 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007486-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98cwvz
title: Occurrence Download

description: A dataset containing 2915 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnoscopelus nicholsi",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 2915 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007488-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvujxd
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agasyllis latifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 41 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007487-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18352041
title: Multi-objective Local Optima Networks based on Decomposition - Data and Plots

description: This repository contains the data and additional plots for the paper 'Multi-objective Local Optima Networks based on Decomposition'. 

The following files are included:



data.zip: features file and raw results presented in the paper;

Plot.zip: additional plots of networks not in the paper and feature importances and SHAP plots.
DOI: 10.5281/zenodo.18352042
title: Multi-objective Local Optima Networks based on Decomposition - Data and Plots

description: This repository contains the data and additional plots for the paper 'Multi-objective Local Optima Networks based on Decomposition'. 

The following files are included:



data.zip: features file and raw results presented in the paper;

Plot.zip: additional plots of networks not in the paper and feature importances and SHAP plots.
DOI: 10.15468/dl.vvepzu
title: Occurrence Download

description: A dataset containing 714 records in GBIF matching the query:
SELECT
 '183' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 0.0
 AND decimalLatitude &lt;= 4.045127286108716
 AND decimalLongitude &gt;= 114.74440240591831
 AND decimalLongitude &lt;= 119.917667638792
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 714 records were derived from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007468-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/pk8-zbd-b79
title: Alpheus buckupi Almeida, Terossi, Araújo-Silva & Mantelatto, 2013

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w2h-lnn-75c
title: Palaemon Weber, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.18351213
title: Difunctional poly(phosphorhydrazone) PPH dendritic catalysts. Influence of different parameters on the catalytic efficiency

description: Dendrimers are a special type of hyperbranched polymers constituted of branched monomers arranged radially around a central core, and synthesized step-by-step. Phosphorus-containing dendrimers of type poly(phosphorhydrazone, PPH, possess phosphorus atoms at each branching point, and P(S)Cl2 terminal functions every two steps. Such terminal functions enable the sequential grafting of one function, then of a second one, to get precisely difunctionalized dendrimers. Such process is used here for grafting both a fluoroalkyl chain and a ligand for complexing a metal (Pd or Cu). The dendritic Pd complexes have been used in Stille, Suzuki and Heck C-C cross-couplings, whereas the Cu complexes have been used in C-N couplings. The influence of the length of the fluoroalkyl chain, the generation of the dendrimers, the base, the solvent, and the possible recovery and re-use of the catalyst on the outcome of the catalytic reactions are described.
DOI: 10.5281/zenodo.18351212
title: Difunctional poly(phosphorhydrazone) PPH dendritic catalysts. Influence of different parameters on the catalytic efficiency

description: Dendrimers are a special type of hyperbranched polymers constituted of branched monomers arranged radially around a central core, and synthesized step-by-step. Phosphorus-containing dendrimers of type poly(phosphorhydrazone, PPH, possess phosphorus atoms at each branching point, and P(S)Cl2 terminal functions every two steps. Such terminal functions enable the sequential grafting of one function, then of a second one, to get precisely difunctionalized dendrimers. Such process is used here for grafting both a fluoroalkyl chain and a ligand for complexing a metal (Pd or Cu). The dendritic Pd complexes have been used in Stille, Suzuki and Heck C-C cross-couplings, whereas the Cu complexes have been used in C-N couplings. The influence of the length of the fluoroalkyl chain, the generation of the dendrimers, the base, the solvent, and the possible recovery and re-use of the catalyst on the outcome of the catalytic reactions are described.
DOI: 10.5281/zenodo.18352006
title: From Separate Compilation to Sound Language Composition

description: This is the replication package for the paper       From Separate Compilation to Sound Language Composition      Federico Bruzzone, Walter Cazzola and Luca FavalliCurrently under review
DOI: 10.5281/zenodo.18352007
title: From Separate Compilation to Sound Language Composition

description: This is the replication package for the paper       From Separate Compilation to Sound Language Composition      Federico Bruzzone, Walter Cazzola and Luca FavalliCurrently under review
DOI: 10.15468/dl.2b5rg3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.723985 24.096255, 88.64706099999999 24.090678, 88.572051 24.074086, 88.50081900000001 24.046892, 88.435132 24.00977, 88.376617 23.963644, 88.326718 23.909658, 88.28666 23.84915, 88.25742 23.783617, 88.239704 23.71468, 88.233931 23.64404, 88.240223 23.573436, 88.258408 23.504607, 88.28802 23.439243, 88.328317 23.378947, 88.378298 23.325196, 88.43673099999999 23.279306, 88.502179 23.242396, 88.57303899999999 23.21537, 88.647581 23.198886, 88.723985 23.193346, 88.800389 23.198886, 88.874931 23.21537, 88.945791 23.242396, 89.011239 23.279306, 89.069672 23.325196, 89.119653 23.378947, 89.15994999999999 23.439243, 89.189562 23.504607, 89.207747 23.573436, 89.214039 23.64404, 89.20826599999999 23.71468, 89.19055 23.783617, 89.16131 23.84915, 89.121252 23.909658, 89.071353 23.963644, 89.012838 24.00977, 88.94715100000001 24.046892, 88.875919 24.074086, 88.800909 24.090678, 88.723985 24.096255))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007491-260120142942310/datasets/export for details.
DOI: 10.15468/dl.x2tax2
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sternochetus mangiferae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen, Material sample, Occurrence evidence)"
 ]
}

 The dataset includes 294 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007493-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc995pf
title: CCDC 276944: Experimental Crystal Structure Determination

description: Related Article: Shuxia Liu, Linhua Xie, Bo Gao, Chundan Zhang, Chunyan Sun, Dehui Li, Zhongmin Su|2005|Chem.Commun.||5023|doi:10.1039/b508930a
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.qwvb7m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.795351 23.834013, 88.718583 23.828436, 88.64372400000001 23.811844, 88.57263500000001 23.784649, 88.507079 23.747528, 88.44868099999999 23.701402, 88.39888000000001 23.647415, 88.35890000000001 23.586907, 88.32971499999999 23.521373, 88.312031 23.452434, 88.30626599999999 23.381791, 88.31254300000001 23.311185, 88.33068900000001 23.242353, 88.36024 23.176986, 88.40045600000001 23.116686, 88.450338 23.062932, 88.508655 23.017039, 88.573975 22.980127, 88.64469800000001 22.953099, 88.719095 22.936613, 88.795351 22.931073, 88.871607 22.936613, 88.946004 22.953099, 89.016727 22.980127, 89.082047 23.017039, 89.14036400000001 23.062932, 89.190246 23.116686, 89.230462 23.176986, 89.260013 23.242353, 89.278159 23.311185, 89.284436 23.381791, 89.278671 23.452434, 89.260987 23.521373, 89.231802 23.586907, 89.191822 23.647415, 89.142021 23.701402, 89.083623 23.747528, 89.018067 23.784649, 88.946978 23.811844, 88.872119 23.828436, 88.795351 23.834013))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007492-260120142942310/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc2jdng2
title: CCDC 2335864: Experimental Crystal Structure Determination

description: Related Article: Minori Abe, Chihiro Kachi-Terajima, Masahiro Toyoda and Takunori Harada|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: 10.5517/ccdc.csd.cc2jdnh3
title: CCDC 2335865: Experimental Crystal Structure Determination

description: Related Article: Minori Abe, Chihiro Kachi-Terajima, Masahiro Toyoda and Takunori Harada|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: 10.5517/ccdc.csd.cc2jlz26
title: CCDC 2341928: Experimental Crystal Structure Determination

description: Related Article: Kai-Cheng Zhong|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: 10.5517/ccdc.csd.cc2mfkn9
title: CCDC 2426111: Experimental Crystal Structure Determination

description: Related Article: Yuwei Kang, Can Yang, Jun Zhang, Qi Wu|2025|Chin.Chem.Lett.|37||doi:10.1016/j.cclet.2025.111385
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.