cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.axpwse
title: Occurrence Download

description: A dataset containing 89584 species occurrences available in GBIF matching the query:
{
 "InstitutionKey" : [
 "is 901dcfe2-4126-4a10-ae67-1f889daf41ed"
 ]
}

 The dataset includes 89584 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163416-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zgebfj
title: Occurrence Download

description: A dataset containing 9732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1950",
 "TaxonKey is Chrysophrys auratus (Forster, 1801)"
 ]
}

 The dataset includes 9732 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004742-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yh72hk
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Nothoscordum correntinum Ravenna"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163408-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnhfhw
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum crotonifolium Humb. & Bonpl. ex Dunal"
 ]
}

 The dataset includes 143 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004742-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hasxgh
title: Occurrence Download

description: A dataset containing 5431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mimus polyglottos (Linnaeus, 1758)"
 ]
}

 The dataset includes 5431 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163403-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmkvi8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eryngium ferrisiae Constance"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004742-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.afjk2j
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Nothoscordum bonariense (Pers.) Beauverd"
 ]
}

 The dataset includes 77 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163405-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0peqb1
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Notiomystis cincta (Du Bus de Gisignies, 1839)",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((174 -42,174 -41,175 -41,175 -42,174 -42))",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 42 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004743-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98v9wg
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-121.0379 35.25633,-120.18584 35.25633,-120.18584 35.94241,-121.0379 35.94241,-121.0379 35.25633))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Castor canadensis Kuhl, 1820"
 ]
}

 The dataset includes 63 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163412-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvuwp9
title: Occurrence Download

description: A dataset containing 456 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Washingtonia filifera (Rafarin) H.Wendl. ex de Bary"
 ]
}

 The dataset includes 456 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004743-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tedtwd
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron calophytum var. pauciflorum W.K.Hu"
 ]
}

 The dataset includes 35 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028982-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8vv6e
title: Occurrence Download

description: A dataset containing 64133 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nothofagus Blume"
 ]
}

 The dataset includes 64133 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004743-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7qvnz
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Cardamine flexuosa With."
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163428-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mcmhs
title: Occurrence Download

description: A dataset containing 2802 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Material sample"
 ]
 },
 "Country is United States of America",
 "Year 1901-2017",
 "HasCoordinate is true",
 "TaxonKey is Lasiurus borealis (Müller, 1776)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2802 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004743-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acuwax
title: Occurrence Download

description: A dataset containing 932 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lagenorhynchus obscurus (Gray, 1828)"
 ]
}

 The dataset includes 932 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163441-230224095556074/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.25689243
title: Elsafty_RBCs_for_Segmentation_and_Detection_Slide_19

description: Each one of (Elsafty_RBCs_for_Segmentation_and_Detection_Slide_1-25) consists of three primary folders: "Cropped images,” "Masks,” and "Segmented images” corresponding to each slide/patient. The naming scheme for the cropped image, mask, and segmented image of every cell adheres to a consistent format, starting with the slide/patient number, followed by the unique patch/field number, and concluding with the (XYWH) coordination on the patch. All these images are conveniently stored in the lossless ".PNG" format.
DOI: 10.6084/m9.figshare.25689243.v1
title: Elsafty_RBCs_for_Segmentation_and_Detection_Slide_19

description: Each one of (Elsafty_RBCs_for_Segmentation_and_Detection_Slide_1-25) consists of three primary folders: "Cropped images,” "Masks,” and "Segmented images” corresponding to each slide/patient. The naming scheme for the cropped image, mask, and segmented image of every cell adheres to a consistent format, starting with the slide/patient number, followed by the unique patch/field number, and concluding with the (XYWH) coordination on the patch. All these images are conveniently stored in the lossless ".PNG" format.
DOI: 10.15468/dl.smz7dj
title: Occurrence Download

description: A dataset containing 10222653 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Argentina"
 ]
}

 The dataset includes 10222653 records from 2297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163537-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h5p7gx
title: Occurrence Download

description: A dataset containing 161894 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 2013_ALBERTKANAAL - Acoustic telemetry data for European eel (Anguilla anguilla) and hatched Salmon (Salmo salar) in the Albert canal (Belgium)"
 ]
}

 The dataset includes 161894 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029537-250920141307145/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.cc2g0b1w
title: CCDC 2264427: Experimental Crystal Structure Determination

description: Related Article: Xiao-Fen Guan, Na Qiao, Zhi-Lei Wu, Wen-Min Wang, Jian-Zhong Cui|2025|Dalton Trans.|54|12841|doi:10.1039/D5DT01252J
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: 10.5281/zenodo.15095298
title: REPAIRome: A comprehensive genetic catalog of human double-strand break repair

description: REPAIRome is a comprehensive resource including Cas9-induced DSB repair outcomes upon knock-out of  more than 18-thousand human genes in RPE1 and U2OS cell lines.
DOI: 10.5517/ccdc.csd.cc2ltbqh
title: CCDC 2407637: Experimental Crystal Structure Determination

description: Related Article: Bruno R. de Lima, Francielli S. Santana, Eduardo M. Iwaya, Renan B. Campos, Giselle M. Maciel, Dayane M. Reis|2026|J.Mol.Struct.|1349|143951|doi:10.1016/j.molstruc.2025.143951
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.cc2ltbrj
title: CCDC 2407638: Experimental Crystal Structure Determination

description: Related Article: Bruno R. de Lima, Francielli S. Santana, Eduardo M. Iwaya, Renan B. Campos, Giselle M. Maciel, Dayane M. Reis|2026|J.Mol.Struct.|1349|143951|doi:10.1016/j.molstruc.2025.143951
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.cc2m6mj0
title: CCDC 2419442: Experimental Crystal Structure Determination

description: Related Article: B.Shantha Lakshmi, V. Sabari, J. Janczak, Kalpana Sukumar, S. Thennarasu, B. Praveena, N. Kanagathara|2026|J.Mol.Struct.|1349|143909|doi:10.1016/j.molstruc.2025.143909
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.24482j
title: Occurrence Download

description: A dataset containing 1243 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Drosera burmannii)"
 ]
}

 The dataset includes 1243 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029573-250920141307145/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.cc2l69ty
title: CCDC 2389350: Experimental Crystal Structure Determination

description: Related Article: Debendra Tewary, Abani Sarkar, David R. Turner, Mangalampalli Ravikanth|2025|Org.Lett.|27|10412|doi:10.1021/acs.orglett.5c03305
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.4q8cer
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ceratium teres",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029574-250920141307145/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.cc2nvtr3
title: CCDC 2468646: Experimental Crystal Structure Determination

description: Related Article: Xin-Song Zhou, Yu-Song Ran, Li-Bo Yang, Jia Hu, Junpeng Li, Chuan Zuo, Ya-Min Li|2025|Org.Lett.|27|10336|doi:10.1021/acs.orglett.5c03099
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.surbmf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zosterops nehrkorni",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029575-250920141307145/datasets/export for details.
DOI: 10.6084/m9.figshare.29666157
title: A Fisher’s Exact Test Justification of the TF–IDF Term-Weighting Scheme

description: Term frequency–inverse document frequency, or TF–IDF for short, is arguably the most celebrated mathematical expression in the history of information retrieval. Conceived as a simple heuristic quantifying the extent to which a given term’s occurrences are concentrated in any one given document out of many, TF–IDF and its many variants are routinely used as term-weighting schemes in diverse text analysis applications. There is a growing body of scholarship dedicated to placing TF–IDF on a sound theoretical foundation. Building on that tradition, this article justifies the use of TF–IDF to the statistics community by demonstrating how the famed expression can be understood from a significance testing perspective. We show that the common TF–IDF variant TF–ICF is, under mild regularity conditions, closely related to the negative logarithm of the <i>p</i>-value from a one-tailed version of Fisher’s exact test of statistical significance. As a corollary, we establish a connection between TF–IDF and the said negative log-transformed <i>p</i>-value under certain idealized assumptions. We further demonstrate, as a limiting case, that this same quantity converges to TF–IDF in the limit of an infinitely large document collection. The Fisher’s exact test justification of TF–IDF equips the working statistician with a ready explanation of the term-weighting scheme’s long-established effectiveness. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.29666157.v2
title: A Fisher’s Exact Test Justification of the TF–IDF Term-Weighting Scheme

description: Term frequency–inverse document frequency, or TF–IDF for short, is arguably the most celebrated mathematical expression in the history of information retrieval. Conceived as a simple heuristic quantifying the extent to which a given term’s occurrences are concentrated in any one given document out of many, TF–IDF and its many variants are routinely used as term-weighting schemes in diverse text analysis applications. There is a growing body of scholarship dedicated to placing TF–IDF on a sound theoretical foundation. Building on that tradition, this article justifies the use of TF–IDF to the statistics community by demonstrating how the famed expression can be understood from a significance testing perspective. We show that the common TF–IDF variant TF–ICF is, under mild regularity conditions, closely related to the negative logarithm of the <i>p</i>-value from a one-tailed version of Fisher’s exact test of statistical significance. As a corollary, we establish a connection between TF–IDF and the said negative log-transformed <i>p</i>-value under certain idealized assumptions. We further demonstrate, as a limiting case, that this same quantity converges to TF–IDF in the limit of an infinitely large document collection. The Fisher’s exact test justification of TF–IDF equips the working statistician with a ready explanation of the term-weighting scheme’s long-established effectiveness. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.29666157.v1
title: A Fisher’s exact test justification of the TF–IDF term-weighting scheme

description: Term frequency–inverse document frequency, or TF–IDF for short, is arguably the most celebrated mathematical expression in the history of information retrieval. Conceived as a simple heuristic quantifying the extent to which a given term’s occurrences are concentrated in any one given document out of many, TF–IDF and its many variants are routinely used as term-weighting schemes in diverse text analysis applications. There is a growing body of scholarship dedicated to placing TF–IDF on a sound theoretical foundation. Building on that tradition, this paper justifies the use of TF–IDF to the statistics community by demonstrating how the famed expression can be understood from a significance testing perspective. We show that the common TF–IDF variant TF–ICF is, under mild regularity conditions, closely related to the negative logarithm of the <i>p</i>-value from a one-tailed version of Fisher’s exact test of statistical significance. As a corollary, we establish a connection between TF–IDF and the said negative log-transformed <i>p</i>-value under certain idealized assumptions. We further demonstrate, as a limiting case, that this same quantity converges to TF–IDF in the limit of an infinitely large document collection. The Fisher’s exact test justification of TF–IDF equips the working statistician with a ready explanation of the term-weighting scheme’s long-established effectiveness.
DOI: 10.6084/m9.figshare.29656488
title: Explainable Linear and Generalized Linear Models by the Predictions Plot

description: Multiple linear regression is a basic statistical tool, yielding a prediction formula with the input variables, slopes, and an intercept. But is it really easy to see which terms have the largest effect, or to explain why the prediction of a specific case is unusually high or low? To assist with this the so-called predictions plot is proposed. Its simplicity makes it easy to interpret, and it combines much information. Its main benefit is that it helps explainability of the prediction formula as it is, without depending on how the formula was derived. The input variables can be numerical or categorical. Interaction terms are also handled, and the model can be linear or generalized linear. Another display is proposed to visualize correlations and covariances between prediction terms, in a way that is tailored for this setting.
DOI: 10.6084/m9.figshare.29656488.v1
title: Explainable Linear and Generalized Linear Models by the Predictions Plot

description: Multiple linear regression is a basic statistical tool, yielding a prediction formula with the input variables, slopes, and an intercept. But is it really easy to see which terms have the largest effect, or to explain why the prediction of a specific case is unusually high or low? To assist with this the so-called predictions plot is proposed. Its simplicity makes it easy to interpret, and it combines much information. Its main benefit is that it helps explainability of the prediction formula as it is, without depending on how the formula was derived. The input variables can be numerical or categorical. Interaction terms are also handled, and the model can be linear or generalized linear. Another display is proposed to visualize correlations and covariances between prediction terms, in a way that is tailored for this setting.