cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc110613399
title: Persepolis Fortification Elamite Tablet 2072, PF 2072

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 2072 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Aramaic ink inscription on obverse, upper edge and reverse. Seal impression on left edge. ❧ [Physical Object Note:] Right edge and bottom edge broken off. Cracks on tablet.
DOI: 10.25549/inscriptifact-ouc110606342
title: Persepolis Fortification Aramaic Text 574, PFAT 574

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 574 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription on obverse, reverse and flat edge. Seal impression on obverse and flat edge. ❧ [Physical Object Note:] Round edge and bottom completely broken off.
DOI: 10.25549/inscriptifact-ouc110606327
title: Persepolis Fortification Aramaic Text 574, PFAT 574

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 574 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription on obverse, reverse and flat edge. Seal impression on obverse and flat edge. ❧ [Physical Object Note:] Round edge and bottom completely broken off.
DOI: 10.25549/inscriptifact-ouc110613398
title: Persepolis Fortification Elamite Tablet 2072, PF 2072

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 2072 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Aramaic ink inscription on obverse, upper edge and reverse. Seal impression on left edge. ❧ [Physical Object Note:] Right edge and bottom edge broken off. Cracks on tablet.
DOI: 10.25549/inscriptifact-ouc110606319
title: Persepolis Fortification Aramaic Text 573, PFAT 573

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 573 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription on obverse and bottom edge (?). Seal impression on flat edge and reverse. ❧ [Physical Object Note:] Round edge broken off. Large crack on obverse toward bottom edge. Broken on flat edge toward bottom edge.
DOI: 10.25549/inscriptifact-ouc110613374
title: Persepolis Fortification Elamite Tablet 2072, PF 2072

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 2072 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Aramaic ink inscription on obverse, upper edge and reverse. Seal impression on left edge. ❧ [Physical Object Note:] Right edge and bottom edge broken off. Cracks on tablet.
DOI: 10.34740/kaggle/dsv/13695566
title: Mahanagar Yatayat Transport Dataset
DOI: 10.25549/inscriptifact-ouc110613370
title: Persepolis Fortification Elamite Tablet 2072, PF 2072

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 2072 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform, Aramaic ❧ [Physical Object Description:] Clay tablet with cuneiform text. Aramaic ink inscription on obverse, upper edge and reverse. Seal impression on left edge. ❧ [Physical Object Note:] Right edge and bottom edge broken off. Cracks on tablet.
DOI: 10.25549/inscriptifact-ouc110606317
title: Persepolis Fortification Aramaic Text 573, PFAT 573

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PFAT 573 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription on obverse and bottom edge (?). Seal impression on flat edge and reverse. ❧ [Physical Object Note:] Round edge broken off. Large crack on obverse toward bottom edge. Broken on flat edge toward bottom edge.
DOI: 10.15468/dl.vtxpg8
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030439-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6u8nhn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dyseriocrania auricyanea Walsingham, 1882",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Switzerland",
 "Country is Switzerland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0397052-210914110416597/datasets/export for details.
DOI: 10.15468/dl.w389ef
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caloptilia diversilobiella Opler, 1969",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Switzerland",
 "Country is Switzerland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0397080-210914110416597/datasets/export for details.
DOI: 10.15468/dl.36jf7f
title: Occurrence Download

description: A dataset containing 324550994 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is United States of America"
 ]
}

 The dataset includes 324550994 records from 2229 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006420-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8drd3b
title: Occurrence Download

description: A dataset containing 18000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Island is Madeira",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 18000 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000822-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbwcss
title: Occurrence Download

description: A dataset containing 243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opuntia stricta (Haw.) Haw."
 ]
}

 The dataset includes 243 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000823-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gq96n
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Hypophthalmichthys molitrix (Valenciennes, 1844)"
 ]
}

 The dataset includes 19 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000824-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3vhf8
title: Occurrence Download

description: A dataset containing 62938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Fagopyrum Mill."
 ]
}

 The dataset includes 62938 records from 645 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000821-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11828875
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ue75hh
title: Occurrence Download

description: A dataset containing 3383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Fagraea Thunb."
 ]
}

 The dataset includes 3383 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000825-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15428288
title: A Multiscale Computational and Experimental Study of TBA–Fluorescent Probes for Protein Sensing: Photobasicity Over Twisted Intramolecular Charge Transfer as a New Mechanism for Protein Induced Fluorescence Enhancement
DOI: 10.15468/dl.v6e573
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Faguetia Marchand"
 ]
}

 The dataset includes 42 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000828-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xp5b8
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.23574 16.69844,-99.1707 16.57058,-98.78675 16.24072,-96.55117 15.58066,-96.50523 15.81774,-96.36196 16.58542,-99.12699 17.40504,-99.23574 16.69844))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crocodylia"
 ]
}

 The dataset includes 324 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000829-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kz7p4a
title: Occurrence Download

description: A dataset containing 2125 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 LOWER(occurrence.island) = LOWER('Madeira')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 2125 records were derived from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000826-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdejfw
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "TaxonKey is Nectandra cissiflora Nees"
 ]
}

 The dataset includes 273 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000832-250515123054153/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.29083166
title: A goodness-of-fit measure for logistic regression under separation

description: Logistic regression models have a severe problem called separation. The maximum likelihood estimator does not exist in logistic regression models for data structures under separation. Under separation, the forcibly estimated maximum likelihood estimate may have an extremely large value. Separation often occurs when the size of dataset is small. Consequently, goodness-of-fit measures based on the likelihood ratio and those based on covariance functions using the maximum likelihood estimate indicate that the model is excessively good regardless of the cause of the separation. The Firth and exact logistic regression methods are valid estimation methods for separation problems. Therefore, we propose methods to reasonably evaluate the goodness-of-fit measures of statistical models under separation with dataset of a small sample size with the abovementioned methods. The goodness-of-fit measures based on covariance functions which are a generalization of the multiple correlation coefficient, referred to as the regression correlation coefficient and the entropy coefficient of determination are then used combined with the abovementioned methods for the separation data. In addition, we conducted a data analysis using the definition of the non separation ratio based on the regression depth.
DOI: 10.6084/m9.figshare.29083166.v1
title: A goodness-of-fit measure for logistic regression under separation

description: Logistic regression models have a severe problem called separation. The maximum likelihood estimator does not exist in logistic regression models for data structures under separation. Under separation, the forcibly estimated maximum likelihood estimate may have an extremely large value. Separation often occurs when the size of dataset is small. Consequently, goodness-of-fit measures based on the likelihood ratio and those based on covariance functions using the maximum likelihood estimate indicate that the model is excessively good regardless of the cause of the separation. The Firth and exact logistic regression methods are valid estimation methods for separation problems. Therefore, we propose methods to reasonably evaluate the goodness-of-fit measures of statistical models under separation with dataset of a small sample size with the abovementioned methods. The goodness-of-fit measures based on covariance functions which are a generalization of the multiple correlation coefficient, referred to as the regression correlation coefficient and the entropy coefficient of determination are then used combined with the abovementioned methods for the separation data. In addition, we conducted a data analysis using the definition of the non separation ratio based on the regression depth.
DOI: 10.6084/m9.figshare.29083184
title: Predicting the shear strength of concrete beams with corroded rebar: a review and synthesis

description: The load-bearing mechanism in reinforced concrete beams with corroded rebar has not been clearly elucidated, impeding good shear strength predictions. A thorough literature review reveals the impact of rebar corrosion on the load-bearing mechanism of beams. A systematic validation confirms deficiencies in the current prediction approaches such as the failure to reflect changes in the load-bearing mechanism caused by rebar corrosion and insufficient consideration of the effects of key variables. Corrosion impact factors that reflect the enhancement of arch-action caused by main bar corrosion and the section loss of corroded stirrups are derived to better account for changes in the shear strength. The superiority of incorporating these impact factors into fundamental methods for intact beams is confirmed using ample published experimental data. Incorporating corrosion impact factors into Niwa’s formula is shown to yield the best predictions.
DOI: 10.6084/m9.figshare.29083184.v1
title: Predicting the shear strength of concrete beams with corroded rebar: a review and synthesis

description: The load-bearing mechanism in reinforced concrete beams with corroded rebar has not been clearly elucidated, impeding good shear strength predictions. A thorough literature review reveals the impact of rebar corrosion on the load-bearing mechanism of beams. A systematic validation confirms deficiencies in the current prediction approaches such as the failure to reflect changes in the load-bearing mechanism caused by rebar corrosion and insufficient consideration of the effects of key variables. Corrosion impact factors that reflect the enhancement of arch-action caused by main bar corrosion and the section loss of corroded stirrups are derived to better account for changes in the shear strength. The superiority of incorporating these impact factors into fundamental methods for intact beams is confirmed using ample published experimental data. Incorporating corrosion impact factors into Niwa’s formula is shown to yield the best predictions.
DOI: 10.3886/e180482
title: The U.S. COVID-19 County Policy Database (Preliminary)

description: Please note that an updated version of this data set with additional waves of policy data for a larger set of counties has now been released and is available at ICPSR 39109: https://doi.org/10.3886/ICPSR39109.v1. The description of this preliminary data set follows:<br><br>It is increasingly recognized that policies have
played a role in both alleviating and exacerbating the health and economic
consequences of the COVID-19 pandemic. Yet there has been limited work to
systematically evaluate the substantial variation in local COVID-19-related
policies in the U.S. The
objective of the U.S. COVID-19 County Policy (UCCP) Database is to systematically
gather, characterize, and assess variation in U.S. county-level
COVID-19-related policies. The current data upload represents the first wave of data collection, which includes data on over 20 policies gathered across 171 counties in 7 states during January-March 2021. These include county-level
COVID-19-related policies within 3 policy domains that are likely to affect a
variety of health outcomes: (1) containment/closure, (2) economic support, and
(3) public health. In ongoing work, we are
conducting retrospective longitudinal weekly data collection for the period
2020-2021 from a larger swath of 300+ U.S. counties in all 50 states and Washington
D.C. The current database will be updated with new data
as it becomes available, in late 2023 or early 2024.<br><br>Researchers who use this database for their studies should acknowledge the funders below in all publications.
description: N/A
description: Response Rates: N/A
description: Presence of Common Scales: N/A
description: N/A
description: 171 counties in 7 states (see above geographic coverage)<br>. Smallest Geographic Unit: Counties
description: other; record abstracts;  In January-March 2021, we collected cross-sectional data from government and
media websites for 171 counties in
7 states on 22 county-level COVID-19-related policies within 3 policy domains
that are likely to affect health: (1) containment/closure, (2) economic
support, and (3) public health.
DOI: 10.3886/e180482v2-178502
title: The U.S. COVID-19 County Policy Database

description: It is increasingly recognized that policies have
played a role in both alleviating and exacerbating the health and economic
consequences of the COVID-19 pandemic. Yet there has been limited work to
systematically evaluate the substantial variation in local COVID-19-related
policies in the U.S. The
objective of the U.S. COVID-19 County Policy (UCCP) Database is to systematically
gather, characterize, and assess variation in U.S. county-level
COVID-19-related policies. The current data upload represents the first wave of data collection, which includes data on over 20 policies gathered across 171 counties in 7 states during January-March 2021. These include county-level
COVID-19-related policies within 3 policy domains that are likely to affect a
variety of health outcomes: (1) containment/closure, (2) economic support, and
(3) public health. In ongoing work, we are
conducting retrospective longitudinal weekly data collection for the period
2020-2021 from a larger swath of 300+ U.S. counties in all 50 states and Washington
D.C. The current database will be updated with new data
as it becomes available, in late 2023 or early 2024.<br><br>Researchers who use this database for their studies should acknowledge the funders below in all publications.
description: N/A
description: Response Rates: N/A
description: Presence of Common Scales: N/A
description: N/A
description: 171 counties in 7 states (see above geographic coverage)<br>. Smallest Geographic Unit: Counties
description: other; record abstracts;  In January-March 2021, we collected cross-sectional data from government and
media websites for 171 counties in
7 states on 22 county-level COVID-19-related policies within 3 policy domains
that are likely to affect health: (1) containment/closure, (2) economic
support, and (3) public health.