cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e245011v1
title: Why railways fail: Colonial railways and economic development in Habsburg Bosnia-Herzegovina

description: Are railways always a harbinger of prosperity? We examine the economic effects of railways in Bosnia-Herzegovina under Habsburg colonial rule. Our novel dataset consistently tracks the non-agricultural population share of over 4500 settlements in Habsburg Bosnia in 1885, 1895, and 1910, based on census records. Applying the inconsequential units approach, with least-cost paths as our instrumental variable, we estimate the effect of railway access on occupational change. In settlements directly connected to imperial railways and competition, non-agricultural activity declined as craftsmen returned to agriculture. By contrast, the new railway network temporarily accelerated non-agricultural activity, primarily by attracting factories and foreign labor. Railway access generated more sustained non-agricultural employment growth in settlements with higher human capital and stronger law enforcement. Overall, our findings suggest that colonial railways did not uniformly promote economic development: while railway access reshaped local occupational structures, lasting positive effects depended on local development preconditions.
DOI: 10.15468/dl.5mwcwr
title: Occurrence Download

description: A dataset containing 383160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2018",
 "Year is less than or equal to 2020",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Country is United Kingdom of Great Britain and Northern Ireland",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 383160 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003133-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bw9hg
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amanita domingensis"
 ]
}

 The dataset includes 23 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003168-260208012135463/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.cc1m4x0p
title: CCDC 1494262: Experimental Crystal Structure Determination

description: Related Article: Hisham Abdallah A. Yosef, Nabila M. Ibrahim|2016|Egypt.J.Phys.|59|867|doi:10.21608/ejchem.2016.1483
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.cc1n4bns
title: CCDC 1523515: Experimental Crystal Structure Determination

description: Related Article: Hisham Abdallah A. Yosef, A. M. Elmasry, Nabila M. Ibrahim, Eman H. I. Ismael, M. R. H. Mahran|2017|Egypt.J.Phys.|60|301|doi:10.21608/ejchem.2017.3262
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.cc2cjmh1
title: CCDC 2190723: Experimental Crystal Structure Determination

description: Related Article: Yudong Shen, Pei Lv, Ke Yang, Jianghuan Shi, Han Yang, Wei Xu|2026|Microchemical Journal|221|117079|doi:10.1016/j.microc.2026.117079
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.cc2dbhbl
title: CCDC 2214619: Experimental Crystal Structure Determination

description: Related Article: Nikita A. Korobeynikov, Andrey N. Usoltsev, Pavel A. Abramov, Maxim N. Sokolov, Sergey A. Adonin|2022|Molecules|27|8487|doi:10.3390/molecules27238487
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.cc2dcggq
title: CCDC 2215553: Experimental Crystal Structure Determination

description: Related Article: Anthony J. Campanella, Amanda Gin, Siyoung Sung, Cassidy E. Jackson, Roxanna Martinez, Ökten Üngör, Srikanth Dasari, Andrew Ozarowski, Indrani Bhowmick, Joseph M. Zadrozny|2026|Dalton Trans.|||doi:10.1039/d5dt02920a
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.cc2j0sq2
title: CCDC 2324464: Experimental Crystal Structure Determination

description: Related Article: Chenchen Lin, Lingfeng Xie, Pingping Yi, Xiaoyi Yi, Piao He, Chao Zhang, Jianguo Zhang|2025|J.Mater.Chem.A|||doi:10.1039/d5ta07625k
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: 10.6084/m9.figshare.30811091
title: Arithmetic Method Regression (AMR) Real World Data Sources

description: <b>Nature Scientific Reports</b><b>Title: </b>An arithmetic method algorithm optimizing k-nearest neighbors compared to regression algorithms and evaluated on real world data sources. <b>Abstract: </b>Linear regression analysis focuses on predicting a numeric regressand value based on certain regressor values. In this context, k-Nearest Neighbors (k-NN) is a common non-parametric regression algorithm, which achieves efficient performance when compared with other algorithms in literature. In this research effort an optimization of the k-NN algorithm is proposed by exploiting the potentiality of an introduced arithmetic method, which can provide solutions for linear equations involving an arbitrary number of real variables. Specifically, an Arithmetic Method Algorithm (AMA) is adopted to assess the efficiency of the introduced arithmetic method, while an Arithmetic Method Regression (AMR) algorithm is proposed as an optimization of k-NN adopting the potentiality of AMA. Such algorithm is compared with other regression algorithms, according to an introduced optimal inference decision rule, and evaluated on certain real world data sources, which are publicly available. Results are promising since the proposed AMR algorithm has comparable performance with the other algorithms, while in most cases it achieves better performance than the k-NN. The output results indicate that introduced AMR is an optimization of k-NN.
DOI: 10.6084/m9.figshare.30811091.v4
title: Arithmetic Method Regression (AMR) Real World Data Sources

description: <b>Nature Scientific Reports</b><b>Title: </b>An arithmetic method algorithm optimizing k-nearest neighbors compared to regression algorithms and evaluated on real world data sources. <b>Abstract: </b>Linear regression analysis focuses on predicting a numeric regressand value based on certain regressor values. In this context, k-Nearest Neighbors (k-NN) is a common non-parametric regression algorithm, which achieves efficient performance when compared with other algorithms in literature. In this research effort an optimization of the k-NN algorithm is proposed by exploiting the potentiality of an introduced arithmetic method, which can provide solutions for linear equations involving an arbitrary number of real variables. Specifically, an Arithmetic Method Algorithm (AMA) is adopted to assess the efficiency of the introduced arithmetic method, while an Arithmetic Method Regression (AMR) algorithm is proposed as an optimization of k-NN adopting the potentiality of AMA. Such algorithm is compared with other regression algorithms, according to an introduced optimal inference decision rule, and evaluated on certain real world data sources, which are publicly available. Results are promising since the proposed AMR algorithm has comparable performance with the other algorithms, while in most cases it achieves better performance than the k-NN. The output results indicate that introduced AMR is an optimization of k-NN.
DOI: 10.6084/m9.figshare.30811091.v3
title: Arithmetic Method Regression (AMR) Real World Data Sources

description: <b>Nature Scientific Reports</b><b>Title: </b>An arithmetic method algorithm optimizing k-nearest neighbors compared to regression algorithms and evaluated on real world data sources. <b>Abstract: </b>Linear regression analysis focuses on predicting a numeric regressand value based on certain regressor values. In this context, k-Nearest Neighbors (k-NN) is a common non-parametric regression algorithm, which achieves efficient performance when compared with other algorithms in literature. In this research effort an optimization of the k-NN algorithm is proposed by exploiting the potentiality of an introduced arithmetic method, which can provide solutions for linear equations involving an arbitrary number of real variables. Specifically, an Arithmetic Method Algorithm (AMA) is adopted to assess the efficiency of the introduced arithmetic method, while an Arithmetic Method Regression (AMR) algorithm is proposed as an optimization of k-NN adopting the potentiality of AMA. Such algorithm is compared with other regression algorithms, according to an introduced optimal inference decision rule, and evaluated on certain real world data sources, which are publicly available. Results are promising since the proposed AMR algorithm has comparable performance with the other algorithms, while in most cases it achieves better performance than the k-NN. The output results indicate that introduced AMR is an optimization of k-NN.
DOI: 10.15468/dl.y7bnm7
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Material citation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cichla kelberi",
 "Year 1970-2026"
 ]
}

 The dataset includes 231 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003170-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/9450480
title: The Multi-Axis Profiled Mathematics Collection
DOI: 10.15468/dl.42f5ce
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "RecordedBy" : [
 "is M.G. Price"
 ]
}

 The dataset includes 23 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003171-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g5zn6d
title: Occurrence Download

description: A dataset containing 1081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Girardinichthys"
 ]
}

 The dataset includes 1081 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003172-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cagpwk
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enterographa hutchinsiae",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Sweden",
 "DatasetKey is Artportalen"
 ]
}

 The dataset includes 187 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003173-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymhgbw
title: Occurrence Download

description: A dataset containing 978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brycon falcatus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 978 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003175-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.302184
title: DEIR EL-MÉDINA_nu_2002_01309

description: Référence : nu_2002_01309<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.302185
title: DEIR EL-MÉDINA_nu_2002_01318

description: Référence : nu_2002_01318<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.15468/dl.bhvrb9
title: Occurrence Download

description: A dataset containing 678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnosporia heterophylla",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 678 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029162-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.302186
title: DEIR EL-MÉDINA_nu_2002_01319

description: Référence : nu_2002_01319<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.302187
title: DEIR EL-MÉDINA_nu_2002_01327

description: Référence : nu_2002_01327<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.302188
title: DEIR EL-MÉDINA_nu_2002_01330

description: Référence : nu_2002_01330<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.302189
title: DEIR EL-MÉDINA_nu_2002_01320

description: Référence : nu_2002_01320<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.302190
title: DEIR EL-MÉDINA_nb_1981_01547

description: Référence : nb_1981_01547<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.302191
title: DEIR EL-MÉDINA_nb_1981_01557

description: Référence : nb_1981_01557<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.302192
title: DEIR EL-MÉDINA_nb_1981_01943

description: Référence : nb_1981_01943<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.302193
title: DEIR EL-MÉDINA_nb_1982_01279

description: Référence : nb_1982_01279<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.302194
title: DEIR EL-MÉDINA_nb_1982_01346

description: Référence : nb_1982_01346<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.302195
title: DEIR EL-MÉDINA_nb_1985_00172

description: Référence : nb_1985_00172<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.5066/p14njqlr
title: Physical and hydraulic monitoring on the Yellowstone River fish bypass channel, Montana

description: This data release was produced by the U.S. Geological Survey (USGS) in cooperation with the Bureau of Reclamation (Reclamation) to present the results of monitoring efforts on the Yellowstone River fish bypass channel according to the specifications of the Lower Yellowstone Adaptive Management and Monitoring Plan. The fish bypass channel was constructed to provide upstream migrating fish with a route around the Intake Diversion Dam (referred to as 'Lower Yellowstone Diversion Dam' in the Montana Geographic Names Browser) on the Yellowstone River near Intake, Montana. The objective of this study is to monitor the physical and hydraulic characteristics of the bypass channel, including flow split, minimum depth for the deepest continuous 30 cross sectional feet, and mean channel velocity, which are summarized in the data files in this data release. The methods used to monitor these characteristics are described in an accompanying USGS report (Stephens and others, 2024). Physical and hydraulic data collected during this study will be used to ensure that the hydraulic design criteria of the bypass channel are being met.
DOI: 10.34816/ifao.archives.302196
title: DEIR EL-MÉDINA_nb_1985_00187

description: Référence : nb_1985_00187<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.302197
title: DEIR EL-MÉDINA_pv_2004_05939

description: Référence : pv_2004_05939<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.15468/dl.k5abs7
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helminthotheca echioides",
 "Country is Uruguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029164-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.302198
title: DEIR EL-MÉDINA_pv_2004_05532

description: Référence : pv_2004_05532<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.302199
title: DEIR EL-MÉDINA_pv_2004_05536

description: Référence : pv_2004_05536<br />Site : Deir el-Médina<br />Secteur : Village<br />Type : photographie<br />
DOI: 10.15468/dl.95uez8
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus rattus",
 "Country is North Macedonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029165-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2hq5h
title: Occurrence Download

description: A dataset containing 130086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Hyla arborea)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 130086 records from 918 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029146-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfb332
title: Occurrence Download

description: A dataset containing 241619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Elanus caeruleus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 241619 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029133-250717081556266/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.29618978
title: Alzheimer’s Disease Signatures in the Brain Transcriptome of Estuarine Dolphins

description: Climate warming is one factor increasing the severity of harmful algal blooms (HABs). Innovative exposure models are needed to understand how HABs affect brain health. Here, we examined HAB exposure on the brain transcriptome of dolphins found stranded in Florida’s Indian River Lagoon. We report the neurotoxin 2,4-diaminobutyric acid (2,4-DAB) is 2,900 times more concentrated in dolphin brains during bloom seasons than non-bloom seasons. The same dolphins show 536 differentially expressed genes (FDR&lt;0.05) whose enrichment reveal impairment in GABAergic synapses, basement membrane alteration, and Alzheimer’s disease (AD) risk that is observed to increase with each subsequent bloom season. Dolphins also display concurrent AD-like neuropathological changes and elevated AD gene expression with 2,4-DAB exposure. Our study demonstrates disproportionate seasonal exposure to 2,4-DAB increases AD signatures in the brain transcriptome. As our climate warms, HABs will continue to intensify. Understanding the impact of HAB exposures will help to identify populations at risk for neurological illnesses.