cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29829101.v1
title: Regulatory Legitimacy Without Referents: On the Syntax of AI-Generated Legal Drafts

description: This article analyzes how AI-generated legal texts simulate legitimacy without referencing a sovereign authority. Based on a provenance-verified corpus of machine-generated documents, including contracts, terms of service, and automated policy clauses, the study shows that the legislator is structurally displaced by recurring patterns of passive voice, normative conditionals, and chains of subordinate clauses. The result is legalidad sin fuente (sourceless legality), where the appearance of regulatory authority is produced by syntactic form rather than institutional attribution. Comparing these drafts with traditional legislative writing, the article outlines a typology that instantiates autoridad no referencial and identifies a dual risk: loss of authority traceability and an accountability gap in the binding effects of these texts. This syntactic delegation constitutes a paradigm of regla compilada, situated within the tradition of formal grammars, in which language enacts governance without a governing subject.<b>DOI</b>Primary archive: https://doi.org/<b>10.5281/zenodo.16746581</b>Secondary archive: https://doi.org/10.6084/m9.figshare.29829101SSRN: Pending assignment (ETA: Q3 2025)
DOI: 10.5519/k33reyb6
title: The Biodiversity Intactness Index developed by The Natural History Museum, London, v2.1.1 (Open Access, Limited Release)

description: A temporally limited release of The Biodiversity Intactness Index developed by the Natural History Museum, London, v2.1.1 is made available here for non-commercial use under a CC-BY-NC-SA license (https://creativecommons.org/licenses/by-nc-sa/4.0/). By downloading this data, you agree to be bound by these terms. 

For the most recent, complete dataset (annual, from 2000 to 2020 with regular updates, and improved spatial resolution), or to use the data for commercial use, please contact biodiversityfuturesexplorer@nhm.ac.uk. 

© The Trustees of the Natural History Museum, London 2024. Some Rights Reserved.
DOI: 10.60541/m3bk-dm58
title: Disclosure of Environmental Conditions

description: Modern law balances the expectations that real estate buyers conduct their own investigations (often called "due diligence") with the sellers’ ability to hide certain environmental conditions that could adversely affect both the health of those living in the homes and the real estate prices the seller might fetch. Accordingly, residential real estate owners in many states are now required to disclose the existence of certain environmental conditions when selling their property. Requiring disclosure often encourages prospective sellers to remediate known environmental conditions so that no, or limited, disclosure is needed upon listing or sale. States have different rules about what, if anything, must be disclosed when selling residential property.

This dataset identifies which environmental conditions different states require when homes are sold across all 50 states and the District of Columbia.. Particular conditions explored include: asbestos, polychlorinated biphenyls (PCBs), radon, lead paint, urea-formaldehyde foam insulation (UFFI), underground tanks, hazardous substances, formaldehyde, mold, fuel or chemical storage tanks, and contaminated soil or water. This is a cross-sectional dataset, capturing laws in effect on September 1, 2017.
DOI: 10.15468/dl.762xqk
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAF1066"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015432-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnq7fj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Opsariichthys songmaensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015433-250802193616735/datasets/export for details.
DOI: 10.15468/dl.qa7ndn
title: Occurrence Download

description: A dataset containing 14244395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 14244395 records from 1338 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015410-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csravp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Equus caballus",
 "Country is Sri Lanka",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015435-250802193616735/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/12682090
title: Mahanagar Yatayat Transport Dataset
DOI: 10.15468/dl.h3bdzc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Equus caballus",
 "Country is Vanuatu",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015436-250802193616735/datasets/export for details.
DOI: 10.15468/dl.u7dhym
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Xerosiphon angustiflorus"
 ]
}

 The dataset includes 74 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015437-250802193616735/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.29356878
title: Testing Elliptical Models in High Dimensions

description: Due to the broad applications of elliptical models, there is a long line of research on goodness-of-fit tests for empirically validating them. However, the existing literature on this topic is generally confined to low-dimensional settings, and to the best of our knowledge, there are no established goodness-of-fit tests for elliptical models that are supported by theoretical guarantees in high dimensions. In this article, we propose a new goodness-of-fit test for this problem, and our main result shows that the test is asymptotically valid when the dimension and sample size diverge proportionally. Remarkably, it also turns out that the asymptotic validity of the test requires <i>no assumptions</i> on the population covariance matrix. With regard to numerical performance, we confirm that the empirical level of the test is close to the nominal level across a range of conditions, and that the test is able to reliably detect non-elliptical distributions. Moreover, when the proposed test is specialized to the problem of testing normality in high dimensions, we show that it compares favorably with a state-of-the-art method, and hence, this way of using the proposed test is of independent interest. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29356878.v1
title: Testing Elliptical Models in High Dimensions

description: Due to the broad applications of elliptical models, there is a long line of research on goodness-of-fit tests for empirically validating them. However, the existing literature on this topic is generally confined to low-dimensional settings, and to the best of our knowledge, there are no established goodness-of-fit tests for elliptical models that are supported by theoretical guarantees in high dimensions. In this article, we propose a new goodness-of-fit test for this problem, and our main result shows that the test is asymptotically valid when the dimension and sample size diverge proportionally. Remarkably, it also turns out that the asymptotic validity of the test requires <i>no assumptions</i> on the population covariance matrix. With regard to numerical performance, we confirm that the empirical level of the test is close to the nominal level across a range of conditions, and that the test is able to reliably detect non-elliptical distributions. Moreover, when the proposed test is specialized to the problem of testing normality in high dimensions, we show that it compares favorably with a state-of-the-art method, and hence, this way of using the proposed test is of independent interest. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.60541/1t78-p874
title: Emergency Suspension Powers

description: All 50 states and the District of Columbia have laws granting broad powers to governors to manage emergencies. Emergencies might involve dangers to public health, such as an outbreak of the flu; natural disasters, such as floods or earthquakes; or threats to security, such as acts of terror. In 42 states, governors are explicitly permitted to suspend laws that would interfere with an efficient, effective response to an emergency. Some states also permit governors to amend laws or create new ones during emergencies.

These data capture state laws that explicitly grant governors the power to suspend, amend, or create laws during emergencies.
DOI: 10.6084/m9.figshare.29473601
title: Checking the Cox Proportional Hazards Model with Interval-Censored Data

description: This article presents a general framework for checking the adequacy of the Cox proportional hazards model with interval-censored data, which arise when the event of interest is known only to occur over a random time interval. Specifically, we construct certain stochastic processes that are informative about various aspects of the model, that is, the functional forms of covariates, the exponential link function and the proportional hazards assumption. We establish their weak convergence to zero-mean Gaussian processes under the assumed model through empirical process theory. We then approximate the limiting distributions by Monte Carlo simulation and develop graphical and numerical procedures to check model assumptions and improve goodness of fit. We evaluate the performance of the proposed methods through extensive simulation studies and provide an application to the Atherosclerosis Risk in Communities Study. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29473601.v1
title: Checking the Cox Proportional Hazards Model with Interval-Censored Data

description: This article presents a general framework for checking the adequacy of the Cox proportional hazards model with interval-censored data, which arise when the event of interest is known only to occur over a random time interval. Specifically, we construct certain stochastic processes that are informative about various aspects of the model, that is, the functional forms of covariates, the exponential link function and the proportional hazards assumption. We establish their weak convergence to zero-mean Gaussian processes under the assumed model through empirical process theory. We then approximate the limiting distributions by Monte Carlo simulation and develop graphical and numerical procedures to check model assumptions and improve goodness of fit. We evaluate the performance of the proposed methods through extensive simulation studies and provide an application to the Atherosclerosis Risk in Communities Study. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.15468/dl.6g8hmn
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015439-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrj26y
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Xerosiphon aphyllus"
 ]
}

 The dataset includes 291 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015440-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16745039
title: db1

description: db
DOI: 10.15468/dl.w8yp3j
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chelaethiops rukwaensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015441-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/23377
title: Chandra X-ray Observatory ObsId 23377

description: Evaluating the High Energy Spectrum of the Nearby Terrestrial Exoplanet Host Star and Prime JWST Target LTT 1445A
DOI: 10.25574/23402
title: Chandra X-ray Observatory ObsId 23402

description: The Bad Attitude Project
DOI: 10.25574/23408
title: Chandra X-ray Observatory ObsId 23408

description: Double Vision: New Views of Colliding-Wind Binary Systems
DOI: 10.60541/hphb-de75
title: Federal Supplemental Security Income for Children with Disabilities

description: The federal Supplemental Security Income (SSI) program assists low-income individuals who are living with a disability, or 65 years old or older. SSI benefits are also available to qualified children with severe disabilities. The federal SSI program has been in effect since the 1970s and has seen substantial growth in the number of child recipients over time. SSI is the only federal monthly cash benefit directed toward families caring for children with disabilities, and is available only for the lowest-income and most severely impaired children. SSI is meant to assist with the high financial and time-based costs for families caring for a child with severe disabilities.

This page identifies and displays key features of the federal Supplement Security Income program, with a focus on children with disabilities that were in effect beginning January 1, 1996 and November 1, 2018.  

This publication was supported by Cooperative Agreement Number NU38OT000141 awarded to ChangeLab Solutions and funded by the Centers for Disease Control and Prevention. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Centers for Disease Control and Prevention or the Department of Health and Human Services.
DOI: 10.25574/23409
title: Chandra X-ray Observatory ObsId 23409

description: Double Vision: New Views of Colliding-Wind Binary Systems
DOI: 10.25574/24094
title: Chandra X-ray Observatory ObsId 24094

description: Flows of hot Baryons in the Milky Way center: How are fountains & chimneys linked to the Galactic-scale outflow?
DOI: 10.25574/24095
title: Chandra X-ray Observatory ObsId 24095

description: Flows of hot Baryons in the Milky Way center: How are fountains & chimneys linked to the Galactic-scale outflow?
DOI: 10.25574/24271
title: Chandra X-ray Observatory ObsId 24271

description: Deep Observations of the LMC SNR 0519-69.0
DOI: 10.25574/24341
title: Chandra X-ray Observatory ObsId 24341

description: EFFECTS OF RECENT PERIASTRON PASSAGE AND ECLIPSE IN THE SYMBIOTIC SYSTEM R AQR
DOI: 10.25574/24342
title: Chandra X-ray Observatory ObsId 24342

description: Chandra's study of Cosmic Neon Lights: the WD merger Cas J005311 and its remarkable nebula
DOI: 10.15468/dl.9qqbvd
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Equus caballus",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015442-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4q6d32
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serranus praeopercularis"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015443-250802193616735/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.cc2ncx43
title: CCDC 2454305: Experimental Crystal Structure Determination

description: Related Article: Shangzhi Wang, Zhonglin Wei, Jungang Cao, Dapeng Liang, Yingjie Lin, Haifeng Duan|2025|J.Org.Chem.|90|10869|doi:10.1021/acs.joc.5c01289
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.cc2nh04b
title: CCDC 2457281: Experimental Crystal Structure Determination

description: Related Article: Richard Herzog, Ishika Agrawal, Heinrich F. von Köller, Konstantin Kloiber, Daniel B. Werz|2025|Org.Lett.|27|8299|doi:10.1021/acs.orglett.5c02501
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.cc2nh05c
title: CCDC 2457282: Experimental Crystal Structure Determination

description: Related Article: Richard Herzog, Ishika Agrawal, Heinrich F. von Köller, Konstantin Kloiber, Daniel B. Werz|2025|Org.Lett.|27|8299|doi:10.1021/acs.orglett.5c02501
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.cc2nh06d
title: CCDC 2457283: Experimental Crystal Structure Determination

description: Related Article: Richard Herzog, Ishika Agrawal, Heinrich F. von Köller, Konstantin Kloiber, Daniel B. Werz|2025|Org.Lett.|27|8299|doi:10.1021/acs.orglett.5c02501
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.cc2nrfb6
title: CCDC 2465378: Experimental Crystal Structure Determination

description: Related Article: Xuejie Wang, Wanzhi Chen|2025|J.Org.Chem.|90|10676|doi:10.1021/acs.joc.5c00972
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.cc2lzn7h
title: CCDC 2412737: Experimental Crystal Structure Determination

description: Related Article: Jiaxing Cui, Chao Huang, Yuanmeng Tao, Qi Qin, Linlin Cui, Congying Zhao, Liwei Mi, Hongwei Hou, Ying-Ying Zhang|2025|Inorg.Chem.|64|15687|doi:10.1021/acs.inorgchem.5c02227
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.kc5vp8
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hydrocynus forskahlii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 366 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015445-250802193616735/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.cc2nvgjj
title: CCDC 2468298: Experimental Crystal Structure Determination

description: Related Article: Jiaxing Cui, Chao Huang, Yuanmeng Tao, Qi Qin, Linlin Cui, Congying Zhao, Liwei Mi, Hongwei Hou, Ying-Ying Zhang|2025|Inorg.Chem.|64|15687|doi:10.1021/acs.inorgchem.5c02227
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.